diff --git a/README.md b/README.md index 4097ecc..d5af1fb 100644 --- a/README.md +++ b/README.md @@ -13,5 +13,11 @@ Please run all experiments using make experiments ``` -Before the experiments start the virtual environment defined in 'requirements.txt' -is replicated locally. +This first replicates the virtual environment defined in 'requirements.txt' +locally and then runs the experiments defined in 'experiments.py'. + +## Reproducibility + +The main packages used are specified in 'requirements.txt', with a frozen +version of all packages and their sub-dependencies in 'requirements_frozen.txt'. +We used Python 3.10.13 to run the experiments. diff --git a/experiments/markowitz.py b/experiments/markowitz.py index 03e120c..6f1ffab 100644 --- a/experiments/markowitz.py +++ b/experiments/markowitz.py @@ -69,7 +69,7 @@ def markowitz(data: Data, param: Parameters) -> tuple[np.ndarray, float, cp.Prob w, c = cp.Variable(data.n_assets), cp.Variable() z = w - data.w_prev - T = cp.norm1(z) + T = cp.norm1(z) / 2 L = cp.norm1(w) # worst-case (robust) return diff --git a/experiments/scaling_small.py b/experiments/scaling_small.py index 85907f2..e1ecc0b 100644 --- a/experiments/scaling_small.py +++ b/experiments/scaling_small.py @@ -149,7 +149,10 @@ def plot_timings(timings: list[Timing]) -> None: plt.ylabel("Time (s)") plt.legend() plt.savefig(figures_path() / "timing_parametrized.pdf") - plt.show() + + show_plot = False + if show_plot: + plt.show() def initialize_problem(n_assets: int, sigma_target: float) -> None: diff --git a/experiments/taming.py b/experiments/taming.py index 1163be8..efbd05f 100644 --- a/experiments/taming.py +++ b/experiments/taming.py @@ -150,14 +150,16 @@ def main(from_checkpoint: bool = False) -> None: robust_result, ) - generate_per_year_tables( - equal_weights_results, - basic_result, - weight_limited_result, - leverage_limit_result, - turnover_limit_result, - robust_result, - ) + show_yearly_metrics = False + if show_yearly_metrics: + generate_per_year_tables( + equal_weights_results, + basic_result, + weight_limited_result, + leverage_limit_result, + turnover_limit_result, + robust_result, + ) def run_all_strategies(annualized_target: float) -> None: diff --git a/experiments/tuning_example.py b/experiments/tuning_example.py index e327fc0..8b35348 100644 --- a/experiments/tuning_example.py +++ b/experiments/tuning_example.py @@ -162,6 +162,8 @@ def plot_results( turnovers_train: np.ndarray, turnovers_test: np.ndarray, ) -> None: + show_plot = False + # sharpe plt.plot(backtests, sharpe_ratios_train, label="in-sample", marker="o") plt.plot(backtests, sharpe_ratios_test, label="out-of-sample", marker="o") @@ -172,7 +174,8 @@ def plot_results( plt.legend() plt.ylim(3, 7) plt.savefig(experiment_path() / "tuning_results/tuning_SR.pdf", bbox_inches="tight") - plt.show() + if show_plot: + plt.show() # vola plt.plot(backtests, volas_train, label="train", marker="o") @@ -183,7 +186,8 @@ def plot_results( plt.gca().xaxis.set_major_locator(plt.MultipleLocator(5)) plt.ylim(0.0, 0.12) plt.savefig(experiment_path() / "tuning_results/tuning_vola.pdf", bbox_inches="tight") - plt.show() + if show_plot: + plt.show() # leverage plt.plot(backtests, leverages_train, label="train", marker="o") @@ -194,7 +198,8 @@ def plot_results( plt.gca().xaxis.set_major_locator(plt.MultipleLocator(5)) plt.ylim(1, 2) plt.savefig(experiment_path() / "tuning_results/tuning_lev.pdf", bbox_inches="tight") - plt.show() + if show_plot: + plt.show() # turnover plt.plot(backtests, turnovers_train, label="train", marker="o") @@ -205,7 +210,8 @@ def plot_results( plt.gca().xaxis.set_major_locator(plt.MultipleLocator(5)) plt.ylim(20, 50) plt.savefig(experiment_path() / "tuning_results/tuning_turn.pdf", bbox_inches="tight") - plt.show() + if show_plot: + plt.show() if __name__ == "__main__": diff --git a/experiments/tuning_experiments.ipynb b/experiments/tuning_experiments.ipynb deleted file mode 100644 index 1768588..0000000 --- a/experiments/tuning_experiments.ipynb +++ /dev/null @@ -1,7036 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import pandas as pd\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "\n", - "from tuning_utils import HyperParameters, full_markowitz, Targets, tune_parameters, tune_in_parallel, solve_hard_markowitz, run_hard_backtest, run_soft_backtest\n", - "\n", - "# increase standard plt font size \n", - "plt.rcParams.update({'font.size': 10})\n", - "\n", - "# autoreload modules\n", - "%load_ext autoreload\n", - "%autoreload 2" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "steps = 750\n", - "\n", - "prices = pd.read_csv(\"../data/prices.csv\", index_col=0, parse_dates=True).iloc[:]\n", - "spread = pd.read_csv(\"../data/spreads.csv\", index_col=0, parse_dates=True).iloc[:]\n", - "volumes_shares = pd.read_csv(\"../data/volumes_shares.csv\", index_col=0, parse_dates=True).iloc[:]\n", - "volume = volumes_shares * prices\n", - "# volume = pd.read_csv(\"../data/volumes.csv\", index_col=0, parse_dates=True).iloc[:] #* prices\n", - "rf = pd.read_csv(\"../data/rf.csv\", index_col=0, parse_dates=True).iloc[:, 0].iloc[:]\n", - "# returns = prices.pct_change().dropna()\n", - "\n", - "\n", - "train_len = 500\n", - "test_len = 500\n", - "\n", - "# -500 since first 500 re discarded in backtest\n", - "prices_hard = prices.iloc[:1750]\n", - "spread_hard = spread.iloc[:1750]\n", - "volume_hard = volume.iloc[:1750]\n", - "rf_hard = rf.iloc[:1750]\n", - "\n", - "\n", - "prices_train = prices.iloc[-train_len-test_len-500:-test_len]\n", - "prices_test = prices.iloc[-test_len-500:]\n", - "spread_train = spread.iloc[-train_len-test_len-500:-test_len]\n", - "spread_test = spread.iloc[-test_len-500:]\n", - "volume_train = volume.iloc[-train_len-test_len-500:-test_len]\n", - "volume_test = volume.iloc[-test_len-500:]\n", - "rf_train = rf.iloc[-train_len-test_len-500:-test_len]\n", - "rf_test = rf.iloc[-test_len-500:]\n", - "\n", - "prices_train_test = prices.iloc[-train_len-test_len-500:]\n", - "spread_train_test = spread.iloc[-train_len-test_len-500:]\n", - "volume_train_test = volume.iloc[-train_len-test_len-500:]\n", - "rf_train_test = rf.iloc[-train_len-test_len-500:]\n", - "\n", - "returns_train = prices_train.pct_change().dropna()\n", - "returns_test = prices_test.pct_change().dropna()\n", - "\n", - "n_assets = prices.shape[1]" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Day 500 of 1745, 2001-12-04 00:00:00\n", - "Day 501 of 1745, 2001-12-05 00:00:00\n", - "Day 502 of 1745, 2001-12-06 00:00:00\n", - "Day 503 of 1745, 2001-12-07 00:00:00\n", - "Day 504 of 1745, 2001-12-10 00:00:00\n", - "Day 505 of 1745, 2001-12-11 00:00:00\n", - "Day 506 of 1745, 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2002-09-24 00:00:00\n", - "Day 711 of 1745, 2002-09-25 00:00:00\n", - "Day 712 of 1745, 2002-09-26 00:00:00\n", - "Day 713 of 1745, 2002-09-27 00:00:00\n", - "Day 714 of 1745, 2002-09-30 00:00:00\n", - "Day 715 of 1745, 2002-10-01 00:00:00\n", - "Day 716 of 1745, 2002-10-02 00:00:00\n", - "Day 717 of 1745, 2002-10-03 00:00:00\n", - "Day 718 of 1745, 2002-10-04 00:00:00\n", - "Day 719 of 1745, 2002-10-07 00:00:00\n", - "Day 720 of 1745, 2002-10-08 00:00:00\n", - "Day 721 of 1745, 2002-10-09 00:00:00\n", - "Day 722 of 1745, 2002-10-10 00:00:00\n", - "Day 723 of 1745, 2002-10-11 00:00:00\n", - "Day 724 of 1745, 2002-10-14 00:00:00\n", - "Day 725 of 1745, 2002-10-15 00:00:00\n", - "Day 726 of 1745, 2002-10-16 00:00:00\n", - "Day 727 of 1745, 2002-10-17 00:00:00\n", - "Day 728 of 1745, 2002-10-18 00:00:00\n", - "Day 729 of 1745, 2002-10-21 00:00:00\n", - "Day 730 of 1745, 2002-10-22 00:00:00\n", - "Day 731 of 1745, 2002-10-23 00:00:00\n", - "Day 732 of 1745, 2002-10-24 00:00:00\n", - "Day 733 of 1745, 2002-10-25 00:00:00\n", - "Day 734 of 1745, 2002-10-28 00:00:00\n", - "Day 735 of 1745, 2002-10-29 00:00:00\n", - "Day 736 of 1745, 2002-10-30 00:00:00\n", - "Day 737 of 1745, 2002-10-31 00:00:00\n", - "Day 738 of 1745, 2002-11-01 00:00:00\n", - "Day 739 of 1745, 2002-11-04 00:00:00\n", - "Day 740 of 1745, 2002-11-05 00:00:00\n", - "Day 741 of 1745, 2002-11-06 00:00:00\n", - "Day 742 of 1745, 2002-11-07 00:00:00\n", - "Day 743 of 1745, 2002-11-08 00:00:00\n", - "Day 744 of 1745, 2002-11-11 00:00:00\n", - "Day 745 of 1745, 2002-11-12 00:00:00\n", - "Day 746 of 1745, 2002-11-13 00:00:00\n", - "Day 747 of 1745, 2002-11-14 00:00:00\n", - "Day 748 of 1745, 2002-11-15 00:00:00\n", - "Day 749 of 1745, 2002-11-18 00:00:00\n", - "Day 750 of 1745, 2002-11-19 00:00:00\n", - "Day 751 of 1745, 2002-11-20 00:00:00\n", - "Day 752 of 1745, 2002-11-21 00:00:00\n", - "Day 753 of 1745, 2002-11-22 00:00:00\n", - "Day 754 of 1745, 2002-11-25 00:00:00\n", - "Day 755 of 1745, 2002-11-26 00:00:00\n", - "Day 756 of 1745, 2002-11-27 00:00:00\n", - "Day 757 of 1745, 2002-11-28 00:00:00\n", - "Day 758 of 1745, 2002-11-29 00:00:00\n", - "Day 759 of 1745, 2002-12-02 00:00:00\n", - "Day 760 of 1745, 2002-12-03 00:00:00\n", - "Day 761 of 1745, 2002-12-04 00:00:00\n", - "Day 762 of 1745, 2002-12-05 00:00:00\n", - "Day 763 of 1745, 2002-12-06 00:00:00\n", - "Day 764 of 1745, 2002-12-09 00:00:00\n", - "Day 765 of 1745, 2002-12-10 00:00:00\n", - "Day 766 of 1745, 2002-12-11 00:00:00\n", - "Day 767 of 1745, 2002-12-12 00:00:00\n", - "Day 768 of 1745, 2002-12-13 00:00:00\n", - "Day 769 of 1745, 2002-12-16 00:00:00\n", - "Day 770 of 1745, 2002-12-17 00:00:00\n", - "Day 771 of 1745, 2002-12-18 00:00:00\n", - "Day 772 of 1745, 2002-12-19 00:00:00\n", - "Day 773 of 1745, 2002-12-20 00:00:00\n", - "Day 774 of 1745, 2002-12-23 00:00:00\n", - "Day 775 of 1745, 2002-12-24 00:00:00\n", - "Day 776 of 1745, 2002-12-25 00:00:00\n", - "Day 777 of 1745, 2002-12-26 00:00:00\n", - "Day 778 of 1745, 2002-12-27 00:00:00\n", - "Day 779 of 1745, 2002-12-30 00:00:00\n", - "Day 780 of 1745, 2002-12-31 00:00:00\n", - "Day 781 of 1745, 2003-01-01 00:00:00\n", - "Day 782 of 1745, 2003-01-02 00:00:00\n", - "Day 783 of 1745, 2003-01-03 00:00:00\n", - "Day 784 of 1745, 2003-01-06 00:00:00\n", - "Day 785 of 1745, 2003-01-07 00:00:00\n", - "Day 786 of 1745, 2003-01-08 00:00:00\n", - "Day 787 of 1745, 2003-01-09 00:00:00\n", - "Day 788 of 1745, 2003-01-10 00:00:00\n", - "Day 789 of 1745, 2003-01-13 00:00:00\n", - "Day 790 of 1745, 2003-01-14 00:00:00\n", - "Day 791 of 1745, 2003-01-15 00:00:00\n", - "Day 792 of 1745, 2003-01-16 00:00:00\n", - "Day 793 of 1745, 2003-01-17 00:00:00\n", - "Day 794 of 1745, 2003-01-20 00:00:00\n", - "Day 795 of 1745, 2003-01-21 00:00:00\n", - "Day 796 of 1745, 2003-01-22 00:00:00\n", - "Day 797 of 1745, 2003-01-23 00:00:00\n", - "Day 798 of 1745, 2003-01-24 00:00:00\n", - "Day 799 of 1745, 2003-01-27 00:00:00\n", - "Day 800 of 1745, 2003-01-28 00:00:00\n", - "Day 801 of 1745, 2003-01-29 00:00:00\n", - "Day 802 of 1745, 2003-01-30 00:00:00\n", - "Day 803 of 1745, 2003-01-31 00:00:00\n", - "Day 804 of 1745, 2003-02-03 00:00:00\n", - "Day 805 of 1745, 2003-02-04 00:00:00\n", - "Day 806 of 1745, 2003-02-05 00:00:00\n", - "Day 807 of 1745, 2003-02-06 00:00:00\n", - "Day 808 of 1745, 2003-02-07 00:00:00\n", - "Day 809 of 1745, 2003-02-10 00:00:00\n", - "Day 810 of 1745, 2003-02-11 00:00:00\n", - "Day 811 of 1745, 2003-02-12 00:00:00\n", - "Day 812 of 1745, 2003-02-13 00:00:00\n", - "Day 813 of 1745, 2003-02-14 00:00:00\n", - "Day 814 of 1745, 2003-02-17 00:00:00\n", - "Day 815 of 1745, 2003-02-18 00:00:00\n", - "Day 816 of 1745, 2003-02-19 00:00:00\n", - "Day 817 of 1745, 2003-02-20 00:00:00\n", - "Day 818 of 1745, 2003-02-21 00:00:00\n", - "Day 819 of 1745, 2003-02-24 00:00:00\n", - "Day 820 of 1745, 2003-02-25 00:00:00\n", - "Day 821 of 1745, 2003-02-26 00:00:00\n", - "Day 822 of 1745, 2003-02-27 00:00:00\n", - "Day 823 of 1745, 2003-02-28 00:00:00\n", - "Day 824 of 1745, 2003-03-03 00:00:00\n", - "Day 825 of 1745, 2003-03-04 00:00:00\n", - "Day 826 of 1745, 2003-03-05 00:00:00\n", - "Day 827 of 1745, 2003-03-06 00:00:00\n", - "Day 828 of 1745, 2003-03-07 00:00:00\n", - "Day 829 of 1745, 2003-03-10 00:00:00\n", - "Day 830 of 1745, 2003-03-11 00:00:00\n", - "Day 831 of 1745, 2003-03-12 00:00:00\n", - "Day 832 of 1745, 2003-03-13 00:00:00\n", - "Day 833 of 1745, 2003-03-14 00:00:00\n", - "Day 834 of 1745, 2003-03-17 00:00:00\n", - "Day 835 of 1745, 2003-03-18 00:00:00\n", - "Day 836 of 1745, 2003-03-19 00:00:00\n", - "Day 837 of 1745, 2003-03-20 00:00:00\n", - "Day 838 of 1745, 2003-03-21 00:00:00\n", - "Day 839 of 1745, 2003-03-24 00:00:00\n", - "Day 840 of 1745, 2003-03-25 00:00:00\n", - "Day 841 of 1745, 2003-03-26 00:00:00\n", - "Day 842 of 1745, 2003-03-27 00:00:00\n", - "Day 843 of 1745, 2003-03-28 00:00:00\n", - "Day 844 of 1745, 2003-03-31 00:00:00\n", - "Day 845 of 1745, 2003-04-01 00:00:00\n", - "Day 846 of 1745, 2003-04-02 00:00:00\n", - "Day 847 of 1745, 2003-04-03 00:00:00\n", - "Day 848 of 1745, 2003-04-04 00:00:00\n", - "Day 849 of 1745, 2003-04-07 00:00:00\n", - "Day 850 of 1745, 2003-04-08 00:00:00\n", - "Day 851 of 1745, 2003-04-09 00:00:00\n", - "Day 852 of 1745, 2003-04-10 00:00:00\n", - "Day 853 of 1745, 2003-04-11 00:00:00\n", - "Day 854 of 1745, 2003-04-14 00:00:00\n", - "Day 855 of 1745, 2003-04-15 00:00:00\n", - "Day 856 of 1745, 2003-04-16 00:00:00\n", - "Day 857 of 1745, 2003-04-17 00:00:00\n", - "Day 858 of 1745, 2003-04-18 00:00:00\n", - "Day 859 of 1745, 2003-04-21 00:00:00\n", - "Day 860 of 1745, 2003-04-22 00:00:00\n", - "Day 861 of 1745, 2003-04-23 00:00:00\n", - "Day 862 of 1745, 2003-04-24 00:00:00\n", - "Day 863 of 1745, 2003-04-25 00:00:00\n", - "Day 864 of 1745, 2003-04-28 00:00:00\n", - "Day 865 of 1745, 2003-04-29 00:00:00\n", - "Day 866 of 1745, 2003-04-30 00:00:00\n", - "Day 867 of 1745, 2003-05-01 00:00:00\n", - "Day 868 of 1745, 2003-05-02 00:00:00\n", - "Day 869 of 1745, 2003-05-05 00:00:00\n", - "Day 870 of 1745, 2003-05-06 00:00:00\n", - "Day 871 of 1745, 2003-05-07 00:00:00\n", - "Day 872 of 1745, 2003-05-08 00:00:00\n", - "Day 873 of 1745, 2003-05-09 00:00:00\n", - "Day 874 of 1745, 2003-05-12 00:00:00\n", - "Day 875 of 1745, 2003-05-13 00:00:00\n", - "Day 876 of 1745, 2003-05-14 00:00:00\n", - "Day 877 of 1745, 2003-05-15 00:00:00\n", - "Day 878 of 1745, 2003-05-16 00:00:00\n", - "Day 879 of 1745, 2003-05-19 00:00:00\n", - "Day 880 of 1745, 2003-05-20 00:00:00\n", - "Day 881 of 1745, 2003-05-21 00:00:00\n", - "Day 882 of 1745, 2003-05-22 00:00:00\n", - "Day 883 of 1745, 2003-05-23 00:00:00\n", - "Day 884 of 1745, 2003-05-26 00:00:00\n", - "Day 885 of 1745, 2003-05-27 00:00:00\n", - "Day 886 of 1745, 2003-05-28 00:00:00\n", - "Day 887 of 1745, 2003-05-29 00:00:00\n", - "Day 888 of 1745, 2003-05-30 00:00:00\n", - "Day 889 of 1745, 2003-06-02 00:00:00\n", - "Day 890 of 1745, 2003-06-03 00:00:00\n", - "Day 891 of 1745, 2003-06-04 00:00:00\n", - "Day 892 of 1745, 2003-06-05 00:00:00\n", - "Day 893 of 1745, 2003-06-06 00:00:00\n", - "Day 894 of 1745, 2003-06-09 00:00:00\n", - "Day 895 of 1745, 2003-06-10 00:00:00\n", - "Day 896 of 1745, 2003-06-11 00:00:00\n", - "Day 897 of 1745, 2003-06-12 00:00:00\n", - "Day 898 of 1745, 2003-06-13 00:00:00\n", - "Day 899 of 1745, 2003-06-16 00:00:00\n", - "Day 900 of 1745, 2003-06-17 00:00:00\n", - "Day 901 of 1745, 2003-06-18 00:00:00\n", - "Day 902 of 1745, 2003-06-19 00:00:00\n", - "Day 903 of 1745, 2003-06-20 00:00:00\n", - "Day 904 of 1745, 2003-06-23 00:00:00\n", - "Day 905 of 1745, 2003-06-24 00:00:00\n", - "Day 906 of 1745, 2003-06-25 00:00:00\n", - "Day 907 of 1745, 2003-06-26 00:00:00\n", - "Day 908 of 1745, 2003-06-27 00:00:00\n", - "Day 909 of 1745, 2003-06-30 00:00:00\n", - "Day 910 of 1745, 2003-07-01 00:00:00\n", - "Day 911 of 1745, 2003-07-02 00:00:00\n", - "Day 912 of 1745, 2003-07-03 00:00:00\n", - "Day 913 of 1745, 2003-07-04 00:00:00\n", - "Day 914 of 1745, 2003-07-07 00:00:00\n", - "Day 915 of 1745, 2003-07-08 00:00:00\n", - "Day 916 of 1745, 2003-07-09 00:00:00\n", - "Day 917 of 1745, 2003-07-10 00:00:00\n", - "Day 918 of 1745, 2003-07-11 00:00:00\n", - "Day 919 of 1745, 2003-07-14 00:00:00\n", - "Day 920 of 1745, 2003-07-15 00:00:00\n", - "Day 921 of 1745, 2003-07-16 00:00:00\n", - "Day 922 of 1745, 2003-07-17 00:00:00\n", - "Day 923 of 1745, 2003-07-18 00:00:00\n", - "Day 924 of 1745, 2003-07-21 00:00:00\n", - "Day 925 of 1745, 2003-07-22 00:00:00\n", - "Day 926 of 1745, 2003-07-23 00:00:00\n", - "Day 927 of 1745, 2003-07-24 00:00:00\n", - "Day 928 of 1745, 2003-07-25 00:00:00\n", - "Day 929 of 1745, 2003-07-28 00:00:00\n", - "Day 930 of 1745, 2003-07-29 00:00:00\n", - "Day 931 of 1745, 2003-07-30 00:00:00\n", - "Day 932 of 1745, 2003-07-31 00:00:00\n", - "Day 933 of 1745, 2003-08-01 00:00:00\n", - "Day 934 of 1745, 2003-08-04 00:00:00\n", - "Day 935 of 1745, 2003-08-05 00:00:00\n", - "Day 936 of 1745, 2003-08-06 00:00:00\n", - "Day 937 of 1745, 2003-08-07 00:00:00\n", - "Day 938 of 1745, 2003-08-08 00:00:00\n", - "Day 939 of 1745, 2003-08-11 00:00:00\n", - "Day 940 of 1745, 2003-08-12 00:00:00\n", - "Day 941 of 1745, 2003-08-13 00:00:00\n", - "Day 942 of 1745, 2003-08-14 00:00:00\n", - "Day 943 of 1745, 2003-08-15 00:00:00\n", - "Day 944 of 1745, 2003-08-18 00:00:00\n", - "Day 945 of 1745, 2003-08-19 00:00:00\n", - "Day 946 of 1745, 2003-08-20 00:00:00\n", - "Day 947 of 1745, 2003-08-21 00:00:00\n", - "Day 948 of 1745, 2003-08-22 00:00:00\n", - "Day 949 of 1745, 2003-08-25 00:00:00\n", - "Day 950 of 1745, 2003-08-26 00:00:00\n", - "Day 951 of 1745, 2003-08-27 00:00:00\n", - "Day 952 of 1745, 2003-08-28 00:00:00\n", - "Day 953 of 1745, 2003-08-29 00:00:00\n", - "Day 954 of 1745, 2003-09-01 00:00:00\n", - "Day 955 of 1745, 2003-09-02 00:00:00\n", - "Day 956 of 1745, 2003-09-03 00:00:00\n", - "Day 957 of 1745, 2003-09-04 00:00:00\n", - "Day 958 of 1745, 2003-09-05 00:00:00\n", - "Day 959 of 1745, 2003-09-08 00:00:00\n", - "Day 960 of 1745, 2003-09-09 00:00:00\n", - "Day 961 of 1745, 2003-09-10 00:00:00\n", - "Day 962 of 1745, 2003-09-11 00:00:00\n", - "Day 963 of 1745, 2003-09-12 00:00:00\n", - "Day 964 of 1745, 2003-09-15 00:00:00\n", - "Day 965 of 1745, 2003-09-16 00:00:00\n", - "Day 966 of 1745, 2003-09-17 00:00:00\n", - "Day 967 of 1745, 2003-09-18 00:00:00\n", - "Day 968 of 1745, 2003-09-19 00:00:00\n", - "Day 969 of 1745, 2003-09-22 00:00:00\n", - "Day 970 of 1745, 2003-09-23 00:00:00\n", - "Day 971 of 1745, 2003-09-24 00:00:00\n", - "Day 972 of 1745, 2003-09-25 00:00:00\n", - "Day 973 of 1745, 2003-09-26 00:00:00\n", - "Day 974 of 1745, 2003-09-29 00:00:00\n", - "Day 975 of 1745, 2003-09-30 00:00:00\n", - "Day 976 of 1745, 2003-10-01 00:00:00\n", - "Day 977 of 1745, 2003-10-02 00:00:00\n", - "Day 978 of 1745, 2003-10-03 00:00:00\n", - "Day 979 of 1745, 2003-10-06 00:00:00\n", - "Day 980 of 1745, 2003-10-07 00:00:00\n", - "Day 981 of 1745, 2003-10-08 00:00:00\n", - "Day 982 of 1745, 2003-10-09 00:00:00\n", - "Day 983 of 1745, 2003-10-10 00:00:00\n", - "Day 984 of 1745, 2003-10-13 00:00:00\n", - "Day 985 of 1745, 2003-10-14 00:00:00\n", - "Day 986 of 1745, 2003-10-15 00:00:00\n", - "Day 987 of 1745, 2003-10-16 00:00:00\n", - "Day 988 of 1745, 2003-10-17 00:00:00\n", - "Day 989 of 1745, 2003-10-20 00:00:00\n", - "Day 990 of 1745, 2003-10-21 00:00:00\n", - "Day 991 of 1745, 2003-10-22 00:00:00\n", - "Day 992 of 1745, 2003-10-23 00:00:00\n", - "Day 993 of 1745, 2003-10-24 00:00:00\n", - "Day 994 of 1745, 2003-10-27 00:00:00\n", - "Day 995 of 1745, 2003-10-28 00:00:00\n", - "Day 996 of 1745, 2003-10-29 00:00:00\n", - "Day 997 of 1745, 2003-10-30 00:00:00\n", - "Day 998 of 1745, 2003-10-31 00:00:00\n", - "Day 999 of 1745, 2003-11-03 00:00:00\n", - "Day 1000 of 1745, 2003-11-04 00:00:00\n", - "Day 1001 of 1745, 2003-11-05 00:00:00\n", - "Day 1002 of 1745, 2003-11-06 00:00:00\n", - "Day 1003 of 1745, 2003-11-07 00:00:00\n", - "Day 1004 of 1745, 2003-11-10 00:00:00\n", - "Day 1005 of 1745, 2003-11-11 00:00:00\n", - "Day 1006 of 1745, 2003-11-12 00:00:00\n", - "Day 1007 of 1745, 2003-11-13 00:00:00\n", - "Day 1008 of 1745, 2003-11-14 00:00:00\n", - "Day 1009 of 1745, 2003-11-17 00:00:00\n", - "Day 1010 of 1745, 2003-11-18 00:00:00\n", - "Day 1011 of 1745, 2003-11-19 00:00:00\n", - "Day 1012 of 1745, 2003-11-20 00:00:00\n", - "Day 1013 of 1745, 2003-11-21 00:00:00\n", - "Day 1014 of 1745, 2003-11-24 00:00:00\n", - "Day 1015 of 1745, 2003-11-25 00:00:00\n", - "Day 1016 of 1745, 2003-11-26 00:00:00\n", - "Day 1017 of 1745, 2003-11-27 00:00:00\n", - "Day 1018 of 1745, 2003-11-28 00:00:00\n", - "Day 1019 of 1745, 2003-12-01 00:00:00\n", - "Day 1020 of 1745, 2003-12-02 00:00:00\n", - "Day 1021 of 1745, 2003-12-03 00:00:00\n", - "Day 1022 of 1745, 2003-12-04 00:00:00\n", - "Day 1023 of 1745, 2003-12-05 00:00:00\n", - "Day 1024 of 1745, 2003-12-08 00:00:00\n", - "Day 1025 of 1745, 2003-12-09 00:00:00\n", - "Day 1026 of 1745, 2003-12-10 00:00:00\n", - "Day 1027 of 1745, 2003-12-11 00:00:00\n", - "Day 1028 of 1745, 2003-12-12 00:00:00\n", - "Day 1029 of 1745, 2003-12-15 00:00:00\n", - "Day 1030 of 1745, 2003-12-16 00:00:00\n", - "Day 1031 of 1745, 2003-12-17 00:00:00\n", - "Day 1032 of 1745, 2003-12-18 00:00:00\n", - "Day 1033 of 1745, 2003-12-19 00:00:00\n", - "Day 1034 of 1745, 2003-12-22 00:00:00\n", - "Day 1035 of 1745, 2003-12-23 00:00:00\n", - "Day 1036 of 1745, 2003-12-24 00:00:00\n", - "Day 1037 of 1745, 2003-12-25 00:00:00\n", - "Day 1038 of 1745, 2003-12-26 00:00:00\n", - "Day 1039 of 1745, 2003-12-29 00:00:00\n", - "Day 1040 of 1745, 2003-12-30 00:00:00\n", - "Day 1041 of 1745, 2003-12-31 00:00:00\n", - "Day 1042 of 1745, 2004-01-01 00:00:00\n", - "Day 1043 of 1745, 2004-01-02 00:00:00\n", - "Day 1044 of 1745, 2004-01-05 00:00:00\n", - "Day 1045 of 1745, 2004-01-06 00:00:00\n", - "Day 1046 of 1745, 2004-01-07 00:00:00\n", - "Day 1047 of 1745, 2004-01-08 00:00:00\n", - "Day 1048 of 1745, 2004-01-09 00:00:00\n", - "Day 1049 of 1745, 2004-01-12 00:00:00\n", - "Day 1050 of 1745, 2004-01-13 00:00:00\n", - "Day 1051 of 1745, 2004-01-14 00:00:00\n", - "Day 1052 of 1745, 2004-01-15 00:00:00\n", - "Day 1053 of 1745, 2004-01-16 00:00:00\n", - "Day 1054 of 1745, 2004-01-19 00:00:00\n", - "Day 1055 of 1745, 2004-01-20 00:00:00\n", - "Day 1056 of 1745, 2004-01-21 00:00:00\n", - "Day 1057 of 1745, 2004-01-22 00:00:00\n", - "Day 1058 of 1745, 2004-01-23 00:00:00\n", - "Day 1059 of 1745, 2004-01-26 00:00:00\n", - "Day 1060 of 1745, 2004-01-27 00:00:00\n", - "Day 1061 of 1745, 2004-01-28 00:00:00\n", - "Day 1062 of 1745, 2004-01-29 00:00:00\n", - "Day 1063 of 1745, 2004-01-30 00:00:00\n", - "Day 1064 of 1745, 2004-02-02 00:00:00\n", - "Day 1065 of 1745, 2004-02-03 00:00:00\n", - "Day 1066 of 1745, 2004-02-04 00:00:00\n", - "Day 1067 of 1745, 2004-02-05 00:00:00\n", - "Day 1068 of 1745, 2004-02-06 00:00:00\n", - "Day 1069 of 1745, 2004-02-09 00:00:00\n", - "Day 1070 of 1745, 2004-02-10 00:00:00\n", - "Day 1071 of 1745, 2004-02-11 00:00:00\n", - "Day 1072 of 1745, 2004-02-12 00:00:00\n", - "Day 1073 of 1745, 2004-02-13 00:00:00\n", - "Day 1074 of 1745, 2004-02-16 00:00:00\n", - "Day 1075 of 1745, 2004-02-17 00:00:00\n", - "Day 1076 of 1745, 2004-02-18 00:00:00\n", - "Day 1077 of 1745, 2004-02-19 00:00:00\n", - "Day 1078 of 1745, 2004-02-20 00:00:00\n", - "Day 1079 of 1745, 2004-02-23 00:00:00\n", - "Day 1080 of 1745, 2004-02-24 00:00:00\n", - "Day 1081 of 1745, 2004-02-25 00:00:00\n", - "Day 1082 of 1745, 2004-02-26 00:00:00\n", - "Day 1083 of 1745, 2004-02-27 00:00:00\n", - "Day 1084 of 1745, 2004-03-01 00:00:00\n", - "Day 1085 of 1745, 2004-03-02 00:00:00\n", - "Day 1086 of 1745, 2004-03-03 00:00:00\n", - "Day 1087 of 1745, 2004-03-04 00:00:00\n", - "Day 1088 of 1745, 2004-03-05 00:00:00\n", - "Day 1089 of 1745, 2004-03-08 00:00:00\n", - "Day 1090 of 1745, 2004-03-09 00:00:00\n", - "Day 1091 of 1745, 2004-03-10 00:00:00\n", - "Day 1092 of 1745, 2004-03-11 00:00:00\n", - "Day 1093 of 1745, 2004-03-12 00:00:00\n", - "Day 1094 of 1745, 2004-03-15 00:00:00\n", - "Day 1095 of 1745, 2004-03-16 00:00:00\n", - "Day 1096 of 1745, 2004-03-17 00:00:00\n", - "Day 1097 of 1745, 2004-03-18 00:00:00\n", - "Day 1098 of 1745, 2004-03-19 00:00:00\n", - "Day 1099 of 1745, 2004-03-22 00:00:00\n", - "Day 1100 of 1745, 2004-03-23 00:00:00\n", - "Day 1101 of 1745, 2004-03-24 00:00:00\n", - "Day 1102 of 1745, 2004-03-25 00:00:00\n", - "Day 1103 of 1745, 2004-03-26 00:00:00\n", - "Day 1104 of 1745, 2004-03-29 00:00:00\n", - "Day 1105 of 1745, 2004-03-30 00:00:00\n", - "Day 1106 of 1745, 2004-03-31 00:00:00\n", - "Day 1107 of 1745, 2004-04-01 00:00:00\n", - "Day 1108 of 1745, 2004-04-02 00:00:00\n", - "Day 1109 of 1745, 2004-04-05 00:00:00\n", - "Day 1110 of 1745, 2004-04-06 00:00:00\n", - "Day 1111 of 1745, 2004-04-07 00:00:00\n", - "Day 1112 of 1745, 2004-04-08 00:00:00\n", - "Day 1113 of 1745, 2004-04-09 00:00:00\n", - "Day 1114 of 1745, 2004-04-12 00:00:00\n", - "Day 1115 of 1745, 2004-04-13 00:00:00\n", - "Day 1116 of 1745, 2004-04-14 00:00:00\n", - "Day 1117 of 1745, 2004-04-15 00:00:00\n", - "Day 1118 of 1745, 2004-04-16 00:00:00\n", - "Day 1119 of 1745, 2004-04-19 00:00:00\n", - "Day 1120 of 1745, 2004-04-20 00:00:00\n", - "Day 1121 of 1745, 2004-04-21 00:00:00\n", - "Day 1122 of 1745, 2004-04-22 00:00:00\n", - "Day 1123 of 1745, 2004-04-23 00:00:00\n", - "Day 1124 of 1745, 2004-04-26 00:00:00\n", - "Day 1125 of 1745, 2004-04-27 00:00:00\n", - "Day 1126 of 1745, 2004-04-28 00:00:00\n", - "Day 1127 of 1745, 2004-04-29 00:00:00\n", - "Day 1128 of 1745, 2004-04-30 00:00:00\n", - "Day 1129 of 1745, 2004-05-03 00:00:00\n", - "Day 1130 of 1745, 2004-05-04 00:00:00\n", - "Day 1131 of 1745, 2004-05-05 00:00:00\n", - "Day 1132 of 1745, 2004-05-06 00:00:00\n", - "Day 1133 of 1745, 2004-05-07 00:00:00\n", - "Day 1134 of 1745, 2004-05-10 00:00:00\n", - "Day 1135 of 1745, 2004-05-11 00:00:00\n", - "Day 1136 of 1745, 2004-05-12 00:00:00\n", - "Day 1137 of 1745, 2004-05-13 00:00:00\n", - "Day 1138 of 1745, 2004-05-14 00:00:00\n", - "Day 1139 of 1745, 2004-05-17 00:00:00\n", - "Day 1140 of 1745, 2004-05-18 00:00:00\n", - "Day 1141 of 1745, 2004-05-19 00:00:00\n", - "Day 1142 of 1745, 2004-05-20 00:00:00\n", - "Day 1143 of 1745, 2004-05-21 00:00:00\n", - "Day 1144 of 1745, 2004-05-24 00:00:00\n", - "Day 1145 of 1745, 2004-05-25 00:00:00\n", - "Day 1146 of 1745, 2004-05-26 00:00:00\n", - "Day 1147 of 1745, 2004-05-27 00:00:00\n", - "Day 1148 of 1745, 2004-05-28 00:00:00\n", - "Day 1149 of 1745, 2004-05-31 00:00:00\n", - "Day 1150 of 1745, 2004-06-01 00:00:00\n", - "Day 1151 of 1745, 2004-06-02 00:00:00\n", - "Day 1152 of 1745, 2004-06-03 00:00:00\n", - "Day 1153 of 1745, 2004-06-04 00:00:00\n", - "Day 1154 of 1745, 2004-06-07 00:00:00\n", - "Day 1155 of 1745, 2004-06-08 00:00:00\n", - "Day 1156 of 1745, 2004-06-09 00:00:00\n", - "Day 1157 of 1745, 2004-06-10 00:00:00\n", - "Day 1158 of 1745, 2004-06-11 00:00:00\n", - "Day 1159 of 1745, 2004-06-14 00:00:00\n", - "Day 1160 of 1745, 2004-06-15 00:00:00\n", - "Day 1161 of 1745, 2004-06-16 00:00:00\n", - "Day 1162 of 1745, 2004-06-17 00:00:00\n", - "Day 1163 of 1745, 2004-06-18 00:00:00\n", - "Day 1164 of 1745, 2004-06-21 00:00:00\n", - "Day 1165 of 1745, 2004-06-22 00:00:00\n", - "Day 1166 of 1745, 2004-06-23 00:00:00\n", - "Day 1167 of 1745, 2004-06-24 00:00:00\n", - "Day 1168 of 1745, 2004-06-25 00:00:00\n", - "Day 1169 of 1745, 2004-06-28 00:00:00\n", - "Day 1170 of 1745, 2004-06-29 00:00:00\n", - "Day 1171 of 1745, 2004-06-30 00:00:00\n", - "Day 1172 of 1745, 2004-07-01 00:00:00\n", - "Day 1173 of 1745, 2004-07-02 00:00:00\n", - "Day 1174 of 1745, 2004-07-05 00:00:00\n", - "Day 1175 of 1745, 2004-07-06 00:00:00\n", - "Day 1176 of 1745, 2004-07-07 00:00:00\n", - "Day 1177 of 1745, 2004-07-08 00:00:00\n", - "Day 1178 of 1745, 2004-07-09 00:00:00\n", - "Day 1179 of 1745, 2004-07-12 00:00:00\n", - "Day 1180 of 1745, 2004-07-13 00:00:00\n", - "Day 1181 of 1745, 2004-07-14 00:00:00\n", - "Day 1182 of 1745, 2004-07-15 00:00:00\n", - "Day 1183 of 1745, 2004-07-16 00:00:00\n", - "Day 1184 of 1745, 2004-07-19 00:00:00\n", - "Day 1185 of 1745, 2004-07-20 00:00:00\n", - "Day 1186 of 1745, 2004-07-21 00:00:00\n", - "Day 1187 of 1745, 2004-07-22 00:00:00\n", - "Day 1188 of 1745, 2004-07-23 00:00:00\n", - "Day 1189 of 1745, 2004-07-26 00:00:00\n", - "Day 1190 of 1745, 2004-07-27 00:00:00\n", - "Day 1191 of 1745, 2004-07-28 00:00:00\n", - "Day 1192 of 1745, 2004-07-29 00:00:00\n", - "Day 1193 of 1745, 2004-07-30 00:00:00\n", - "Day 1194 of 1745, 2004-08-02 00:00:00\n", - "Day 1195 of 1745, 2004-08-03 00:00:00\n", - "Day 1196 of 1745, 2004-08-04 00:00:00\n", - "Day 1197 of 1745, 2004-08-05 00:00:00\n", - "Day 1198 of 1745, 2004-08-06 00:00:00\n", - "Day 1199 of 1745, 2004-08-09 00:00:00\n", - "Day 1200 of 1745, 2004-08-10 00:00:00\n", - "Day 1201 of 1745, 2004-08-11 00:00:00\n", - "Day 1202 of 1745, 2004-08-12 00:00:00\n", - "Day 1203 of 1745, 2004-08-13 00:00:00\n", - "Day 1204 of 1745, 2004-08-16 00:00:00\n", - "Day 1205 of 1745, 2004-08-17 00:00:00\n", - "Day 1206 of 1745, 2004-08-18 00:00:00\n", - "Day 1207 of 1745, 2004-08-19 00:00:00\n", - "Day 1208 of 1745, 2004-08-20 00:00:00\n", - "Day 1209 of 1745, 2004-08-23 00:00:00\n", - "Day 1210 of 1745, 2004-08-24 00:00:00\n", - "Day 1211 of 1745, 2004-08-25 00:00:00\n", - "Day 1212 of 1745, 2004-08-26 00:00:00\n", - "Day 1213 of 1745, 2004-08-27 00:00:00\n", - "Day 1214 of 1745, 2004-08-30 00:00:00\n", - "Day 1215 of 1745, 2004-08-31 00:00:00\n", - "Day 1216 of 1745, 2004-09-01 00:00:00\n", - "Day 1217 of 1745, 2004-09-02 00:00:00\n", - "Day 1218 of 1745, 2004-09-03 00:00:00\n", - "Day 1219 of 1745, 2004-09-06 00:00:00\n", - "Day 1220 of 1745, 2004-09-07 00:00:00\n", - "Day 1221 of 1745, 2004-09-08 00:00:00\n", - "Day 1222 of 1745, 2004-09-09 00:00:00\n", - "Day 1223 of 1745, 2004-09-10 00:00:00\n", - "Day 1224 of 1745, 2004-09-13 00:00:00\n", - "Day 1225 of 1745, 2004-09-14 00:00:00\n", - "Day 1226 of 1745, 2004-09-15 00:00:00\n", - "Day 1227 of 1745, 2004-09-16 00:00:00\n", - "Day 1228 of 1745, 2004-09-17 00:00:00\n", - "Day 1229 of 1745, 2004-09-20 00:00:00\n", - "Day 1230 of 1745, 2004-09-21 00:00:00\n", - "Day 1231 of 1745, 2004-09-22 00:00:00\n", - "Day 1232 of 1745, 2004-09-23 00:00:00\n", - "Day 1233 of 1745, 2004-09-24 00:00:00\n", - "Day 1234 of 1745, 2004-09-27 00:00:00\n", - "Day 1235 of 1745, 2004-09-28 00:00:00\n", - "Day 1236 of 1745, 2004-09-29 00:00:00\n", - "Day 1237 of 1745, 2004-09-30 00:00:00\n", - "Day 1238 of 1745, 2004-10-01 00:00:00\n", - "Day 1239 of 1745, 2004-10-04 00:00:00\n", - "Day 1240 of 1745, 2004-10-05 00:00:00\n", - "Day 1241 of 1745, 2004-10-06 00:00:00\n", - "Day 1242 of 1745, 2004-10-07 00:00:00\n", - "Day 1243 of 1745, 2004-10-08 00:00:00\n", - "Day 1244 of 1745, 2004-10-11 00:00:00\n", - "Day 1245 of 1745, 2004-10-12 00:00:00\n", - "Day 1246 of 1745, 2004-10-13 00:00:00\n", - "Day 1247 of 1745, 2004-10-14 00:00:00\n", - "Day 1248 of 1745, 2004-10-15 00:00:00\n", - "Day 1249 of 1745, 2004-10-18 00:00:00\n", - "Day 1250 of 1745, 2004-10-19 00:00:00\n", - "Day 1251 of 1745, 2004-10-20 00:00:00\n", - "Day 1252 of 1745, 2004-10-21 00:00:00\n", - "Day 1253 of 1745, 2004-10-22 00:00:00\n", - "Day 1254 of 1745, 2004-10-25 00:00:00\n", - "Day 1255 of 1745, 2004-10-26 00:00:00\n", - "Day 1256 of 1745, 2004-10-27 00:00:00\n", - "Day 1257 of 1745, 2004-10-28 00:00:00\n", - "Day 1258 of 1745, 2004-10-29 00:00:00\n", - "Day 1259 of 1745, 2004-11-01 00:00:00\n", - "Day 1260 of 1745, 2004-11-02 00:00:00\n", - "Day 1261 of 1745, 2004-11-03 00:00:00\n", - "Day 1262 of 1745, 2004-11-04 00:00:00\n", - "Day 1263 of 1745, 2004-11-05 00:00:00\n", - "Day 1264 of 1745, 2004-11-08 00:00:00\n", - "Day 1265 of 1745, 2004-11-09 00:00:00\n", - "Day 1266 of 1745, 2004-11-10 00:00:00\n", - "Day 1267 of 1745, 2004-11-11 00:00:00\n", - "Day 1268 of 1745, 2004-11-12 00:00:00\n", - "Day 1269 of 1745, 2004-11-15 00:00:00\n", - "Day 1270 of 1745, 2004-11-16 00:00:00\n", - "Day 1271 of 1745, 2004-11-17 00:00:00\n", - "Day 1272 of 1745, 2004-11-18 00:00:00\n", - "Day 1273 of 1745, 2004-11-19 00:00:00\n", - "Day 1274 of 1745, 2004-11-22 00:00:00\n", - "Day 1275 of 1745, 2004-11-23 00:00:00\n", - "Day 1276 of 1745, 2004-11-24 00:00:00\n", - "Day 1277 of 1745, 2004-11-25 00:00:00\n", - "Day 1278 of 1745, 2004-11-26 00:00:00\n", - "Day 1279 of 1745, 2004-11-29 00:00:00\n", - "Day 1280 of 1745, 2004-11-30 00:00:00\n", - "Day 1281 of 1745, 2004-12-01 00:00:00\n", - "Day 1282 of 1745, 2004-12-02 00:00:00\n", - "Day 1283 of 1745, 2004-12-03 00:00:00\n", - "Day 1284 of 1745, 2004-12-06 00:00:00\n", - "Day 1285 of 1745, 2004-12-07 00:00:00\n", - "Day 1286 of 1745, 2004-12-08 00:00:00\n", - "Day 1287 of 1745, 2004-12-09 00:00:00\n", - "Day 1288 of 1745, 2004-12-10 00:00:00\n", - "Day 1289 of 1745, 2004-12-13 00:00:00\n", - "Day 1290 of 1745, 2004-12-14 00:00:00\n", - "Day 1291 of 1745, 2004-12-15 00:00:00\n", - "Day 1292 of 1745, 2004-12-16 00:00:00\n", - "Day 1293 of 1745, 2004-12-17 00:00:00\n", - "Day 1294 of 1745, 2004-12-20 00:00:00\n", - "Day 1295 of 1745, 2004-12-21 00:00:00\n", - "Day 1296 of 1745, 2004-12-22 00:00:00\n", - "Day 1297 of 1745, 2004-12-23 00:00:00\n", - "Day 1298 of 1745, 2004-12-24 00:00:00\n", - "Day 1299 of 1745, 2004-12-27 00:00:00\n", - "Day 1300 of 1745, 2004-12-28 00:00:00\n", - "Day 1301 of 1745, 2004-12-29 00:00:00\n", - "Day 1302 of 1745, 2004-12-30 00:00:00\n", - "Day 1303 of 1745, 2004-12-31 00:00:00\n", - "Day 1304 of 1745, 2005-01-03 00:00:00\n", - "Day 1305 of 1745, 2005-01-04 00:00:00\n", - "Day 1306 of 1745, 2005-01-05 00:00:00\n", - "Day 1307 of 1745, 2005-01-06 00:00:00\n", - "Day 1308 of 1745, 2005-01-07 00:00:00\n", - "Day 1309 of 1745, 2005-01-10 00:00:00\n", - "Day 1310 of 1745, 2005-01-11 00:00:00\n", - "Day 1311 of 1745, 2005-01-12 00:00:00\n", - "Day 1312 of 1745, 2005-01-13 00:00:00\n", - "Day 1313 of 1745, 2005-01-14 00:00:00\n", - "Day 1314 of 1745, 2005-01-17 00:00:00\n", - "Day 1315 of 1745, 2005-01-18 00:00:00\n", - "Day 1316 of 1745, 2005-01-19 00:00:00\n", - "Day 1317 of 1745, 2005-01-20 00:00:00\n", - "Day 1318 of 1745, 2005-01-21 00:00:00\n", - "Day 1319 of 1745, 2005-01-24 00:00:00\n", - "Day 1320 of 1745, 2005-01-25 00:00:00\n", - "Day 1321 of 1745, 2005-01-26 00:00:00\n", - "Day 1322 of 1745, 2005-01-27 00:00:00\n", - "Day 1323 of 1745, 2005-01-28 00:00:00\n", - "Day 1324 of 1745, 2005-01-31 00:00:00\n", - "Day 1325 of 1745, 2005-02-01 00:00:00\n", - "Day 1326 of 1745, 2005-02-02 00:00:00\n", - "Day 1327 of 1745, 2005-02-03 00:00:00\n", - "Day 1328 of 1745, 2005-02-04 00:00:00\n", - "Day 1329 of 1745, 2005-02-07 00:00:00\n", - "Day 1330 of 1745, 2005-02-08 00:00:00\n", - "Day 1331 of 1745, 2005-02-09 00:00:00\n", - "Day 1332 of 1745, 2005-02-10 00:00:00\n", - "Day 1333 of 1745, 2005-02-11 00:00:00\n", - "Day 1334 of 1745, 2005-02-14 00:00:00\n", - "Day 1335 of 1745, 2005-02-15 00:00:00\n", - "Day 1336 of 1745, 2005-02-16 00:00:00\n", - "Day 1337 of 1745, 2005-02-17 00:00:00\n", - "Day 1338 of 1745, 2005-02-18 00:00:00\n", - "Day 1339 of 1745, 2005-02-21 00:00:00\n", - "Day 1340 of 1745, 2005-02-22 00:00:00\n", - "Day 1341 of 1745, 2005-02-23 00:00:00\n", - "Day 1342 of 1745, 2005-02-24 00:00:00\n", - "Day 1343 of 1745, 2005-02-25 00:00:00\n", - "Day 1344 of 1745, 2005-02-28 00:00:00\n", - "Day 1345 of 1745, 2005-03-01 00:00:00\n", - "Day 1346 of 1745, 2005-03-02 00:00:00\n", - "Day 1347 of 1745, 2005-03-03 00:00:00\n", - "Day 1348 of 1745, 2005-03-04 00:00:00\n", - "Day 1349 of 1745, 2005-03-07 00:00:00\n", - "Day 1350 of 1745, 2005-03-08 00:00:00\n", - "Day 1351 of 1745, 2005-03-09 00:00:00\n", - "Day 1352 of 1745, 2005-03-10 00:00:00\n", - "Day 1353 of 1745, 2005-03-11 00:00:00\n", - "Day 1354 of 1745, 2005-03-14 00:00:00\n", - "Day 1355 of 1745, 2005-03-15 00:00:00\n", - "Day 1356 of 1745, 2005-03-16 00:00:00\n", - "Day 1357 of 1745, 2005-03-17 00:00:00\n", - "Day 1358 of 1745, 2005-03-18 00:00:00\n", - "Day 1359 of 1745, 2005-03-21 00:00:00\n", - "Day 1360 of 1745, 2005-03-22 00:00:00\n", - "Day 1361 of 1745, 2005-03-23 00:00:00\n", - "Day 1362 of 1745, 2005-03-24 00:00:00\n", - "Day 1363 of 1745, 2005-03-25 00:00:00\n", - "Day 1364 of 1745, 2005-03-28 00:00:00\n", - "Day 1365 of 1745, 2005-03-29 00:00:00\n", - "Day 1366 of 1745, 2005-03-30 00:00:00\n", - "Day 1367 of 1745, 2005-03-31 00:00:00\n", - "Day 1368 of 1745, 2005-04-01 00:00:00\n", - "Day 1369 of 1745, 2005-04-04 00:00:00\n", - "Day 1370 of 1745, 2005-04-05 00:00:00\n", - "Day 1371 of 1745, 2005-04-06 00:00:00\n", - "Day 1372 of 1745, 2005-04-07 00:00:00\n", - "Day 1373 of 1745, 2005-04-08 00:00:00\n", - "Day 1374 of 1745, 2005-04-11 00:00:00\n", - "Day 1375 of 1745, 2005-04-12 00:00:00\n", - "Day 1376 of 1745, 2005-04-13 00:00:00\n", - "Day 1377 of 1745, 2005-04-14 00:00:00\n", - "Day 1378 of 1745, 2005-04-15 00:00:00\n", - "Day 1379 of 1745, 2005-04-18 00:00:00\n", - "Day 1380 of 1745, 2005-04-19 00:00:00\n", - "Day 1381 of 1745, 2005-04-20 00:00:00\n", - "Day 1382 of 1745, 2005-04-21 00:00:00\n", - "Day 1383 of 1745, 2005-04-22 00:00:00\n", - "Day 1384 of 1745, 2005-04-25 00:00:00\n", - "Day 1385 of 1745, 2005-04-26 00:00:00\n", - "Day 1386 of 1745, 2005-04-27 00:00:00\n", - "Day 1387 of 1745, 2005-04-28 00:00:00\n", - "Day 1388 of 1745, 2005-04-29 00:00:00\n", - "Day 1389 of 1745, 2005-05-02 00:00:00\n", - "Day 1390 of 1745, 2005-05-03 00:00:00\n", - "Day 1391 of 1745, 2005-05-04 00:00:00\n", - "Day 1392 of 1745, 2005-05-05 00:00:00\n", - "Day 1393 of 1745, 2005-05-06 00:00:00\n", - "Day 1394 of 1745, 2005-05-09 00:00:00\n", - "Day 1395 of 1745, 2005-05-10 00:00:00\n", - "Day 1396 of 1745, 2005-05-11 00:00:00\n", - "Day 1397 of 1745, 2005-05-12 00:00:00\n", - "Day 1398 of 1745, 2005-05-13 00:00:00\n", - "Day 1399 of 1745, 2005-05-16 00:00:00\n", - "Day 1400 of 1745, 2005-05-17 00:00:00\n", - "Day 1401 of 1745, 2005-05-18 00:00:00\n", - "Day 1402 of 1745, 2005-05-19 00:00:00\n", - "Day 1403 of 1745, 2005-05-20 00:00:00\n", - "Day 1404 of 1745, 2005-05-23 00:00:00\n", - "Day 1405 of 1745, 2005-05-24 00:00:00\n", - "Day 1406 of 1745, 2005-05-25 00:00:00\n", - "Day 1407 of 1745, 2005-05-26 00:00:00\n", - "Day 1408 of 1745, 2005-05-27 00:00:00\n", - "Day 1409 of 1745, 2005-05-30 00:00:00\n", - "Day 1410 of 1745, 2005-05-31 00:00:00\n", - "Day 1411 of 1745, 2005-06-01 00:00:00\n", - "Day 1412 of 1745, 2005-06-02 00:00:00\n", - "Day 1413 of 1745, 2005-06-03 00:00:00\n", - "Day 1414 of 1745, 2005-06-06 00:00:00\n", - "Day 1415 of 1745, 2005-06-07 00:00:00\n", - "Day 1416 of 1745, 2005-06-08 00:00:00\n", - "Day 1417 of 1745, 2005-06-09 00:00:00\n", - "Day 1418 of 1745, 2005-06-10 00:00:00\n", - "Day 1419 of 1745, 2005-06-13 00:00:00\n", - "Day 1420 of 1745, 2005-06-14 00:00:00\n", - "Day 1421 of 1745, 2005-06-15 00:00:00\n", - "Day 1422 of 1745, 2005-06-16 00:00:00\n", - "Day 1423 of 1745, 2005-06-17 00:00:00\n", - "Day 1424 of 1745, 2005-06-20 00:00:00\n", - "Day 1425 of 1745, 2005-06-21 00:00:00\n", - "Day 1426 of 1745, 2005-06-22 00:00:00\n", - "Day 1427 of 1745, 2005-06-23 00:00:00\n", - "Day 1428 of 1745, 2005-06-24 00:00:00\n", - "Day 1429 of 1745, 2005-06-27 00:00:00\n", - "Day 1430 of 1745, 2005-06-28 00:00:00\n", - "Day 1431 of 1745, 2005-06-29 00:00:00\n", - "Day 1432 of 1745, 2005-06-30 00:00:00\n", - "Day 1433 of 1745, 2005-07-01 00:00:00\n", - "Day 1434 of 1745, 2005-07-04 00:00:00\n", - "Day 1435 of 1745, 2005-07-05 00:00:00\n", - "Day 1436 of 1745, 2005-07-06 00:00:00\n", - "Day 1437 of 1745, 2005-07-07 00:00:00\n", - "Day 1438 of 1745, 2005-07-08 00:00:00\n", - "Day 1439 of 1745, 2005-07-11 00:00:00\n", - "Day 1440 of 1745, 2005-07-12 00:00:00\n", - "Day 1441 of 1745, 2005-07-13 00:00:00\n", - "Day 1442 of 1745, 2005-07-14 00:00:00\n", - "Day 1443 of 1745, 2005-07-15 00:00:00\n", - "Day 1444 of 1745, 2005-07-18 00:00:00\n", - "Day 1445 of 1745, 2005-07-19 00:00:00\n", - "Day 1446 of 1745, 2005-07-20 00:00:00\n", - "Day 1447 of 1745, 2005-07-21 00:00:00\n", - "Day 1448 of 1745, 2005-07-22 00:00:00\n", - "Day 1449 of 1745, 2005-07-25 00:00:00\n", - "Day 1450 of 1745, 2005-07-26 00:00:00\n", - "Day 1451 of 1745, 2005-07-27 00:00:00\n", - "Day 1452 of 1745, 2005-07-28 00:00:00\n", - "Day 1453 of 1745, 2005-07-29 00:00:00\n", - "Day 1454 of 1745, 2005-08-01 00:00:00\n", - "Day 1455 of 1745, 2005-08-02 00:00:00\n", - "Day 1456 of 1745, 2005-08-03 00:00:00\n", - "Day 1457 of 1745, 2005-08-04 00:00:00\n", - "Day 1458 of 1745, 2005-08-05 00:00:00\n", - "Day 1459 of 1745, 2005-08-08 00:00:00\n", - "Day 1460 of 1745, 2005-08-09 00:00:00\n", - "Day 1461 of 1745, 2005-08-10 00:00:00\n", - "Day 1462 of 1745, 2005-08-11 00:00:00\n", - "Day 1463 of 1745, 2005-08-12 00:00:00\n", - "Day 1464 of 1745, 2005-08-15 00:00:00\n", - "Day 1465 of 1745, 2005-08-16 00:00:00\n", - "Day 1466 of 1745, 2005-08-17 00:00:00\n", - "Day 1467 of 1745, 2005-08-18 00:00:00\n", - "Day 1468 of 1745, 2005-08-19 00:00:00\n", - "Day 1469 of 1745, 2005-08-22 00:00:00\n", - "Day 1470 of 1745, 2005-08-23 00:00:00\n", - "Day 1471 of 1745, 2005-08-24 00:00:00\n", - "Day 1472 of 1745, 2005-08-25 00:00:00\n", - "Day 1473 of 1745, 2005-08-26 00:00:00\n", - "Day 1474 of 1745, 2005-08-29 00:00:00\n", - "Day 1475 of 1745, 2005-08-30 00:00:00\n", - "Day 1476 of 1745, 2005-08-31 00:00:00\n", - "Day 1477 of 1745, 2005-09-01 00:00:00\n", - "Day 1478 of 1745, 2005-09-02 00:00:00\n", - "Day 1479 of 1745, 2005-09-05 00:00:00\n", - "Day 1480 of 1745, 2005-09-06 00:00:00\n", - "Day 1481 of 1745, 2005-09-07 00:00:00\n", - "Day 1482 of 1745, 2005-09-08 00:00:00\n", - "Day 1483 of 1745, 2005-09-09 00:00:00\n", - "Day 1484 of 1745, 2005-09-12 00:00:00\n", - "Day 1485 of 1745, 2005-09-13 00:00:00\n", - "Day 1486 of 1745, 2005-09-14 00:00:00\n", - "Day 1487 of 1745, 2005-09-15 00:00:00\n", - "Day 1488 of 1745, 2005-09-16 00:00:00\n", - "Day 1489 of 1745, 2005-09-19 00:00:00\n", - "Day 1490 of 1745, 2005-09-20 00:00:00\n", - "Day 1491 of 1745, 2005-09-21 00:00:00\n", - "Day 1492 of 1745, 2005-09-22 00:00:00\n", - "Day 1493 of 1745, 2005-09-23 00:00:00\n", - "Day 1494 of 1745, 2005-09-26 00:00:00\n", - "Day 1495 of 1745, 2005-09-27 00:00:00\n", - "Day 1496 of 1745, 2005-09-28 00:00:00\n", - "Day 1497 of 1745, 2005-09-29 00:00:00\n", - "Day 1498 of 1745, 2005-09-30 00:00:00\n", - "Day 1499 of 1745, 2005-10-03 00:00:00\n", - "Day 1500 of 1745, 2005-10-04 00:00:00\n", - "Day 1501 of 1745, 2005-10-05 00:00:00\n", - "Day 1502 of 1745, 2005-10-06 00:00:00\n", - "Day 1503 of 1745, 2005-10-07 00:00:00\n", - "Day 1504 of 1745, 2005-10-10 00:00:00\n", - "Day 1505 of 1745, 2005-10-11 00:00:00\n", - "Day 1506 of 1745, 2005-10-12 00:00:00\n", - "Day 1507 of 1745, 2005-10-13 00:00:00\n", - "Day 1508 of 1745, 2005-10-14 00:00:00\n", - "Day 1509 of 1745, 2005-10-17 00:00:00\n", - "Day 1510 of 1745, 2005-10-18 00:00:00\n", - "Day 1511 of 1745, 2005-10-19 00:00:00\n", - "Day 1512 of 1745, 2005-10-20 00:00:00\n", - "Day 1513 of 1745, 2005-10-21 00:00:00\n", - "Day 1514 of 1745, 2005-10-24 00:00:00\n", - "Day 1515 of 1745, 2005-10-25 00:00:00\n", - "Day 1516 of 1745, 2005-10-26 00:00:00\n", - "Day 1517 of 1745, 2005-10-27 00:00:00\n", - "Day 1518 of 1745, 2005-10-28 00:00:00\n", - "Day 1519 of 1745, 2005-10-31 00:00:00\n", - "Day 1520 of 1745, 2005-11-01 00:00:00\n", - "Day 1521 of 1745, 2005-11-02 00:00:00\n", - "Day 1522 of 1745, 2005-11-03 00:00:00\n", - "Day 1523 of 1745, 2005-11-04 00:00:00\n", - "Day 1524 of 1745, 2005-11-07 00:00:00\n", - "Day 1525 of 1745, 2005-11-08 00:00:00\n", - "Day 1526 of 1745, 2005-11-09 00:00:00\n", - "Day 1527 of 1745, 2005-11-10 00:00:00\n", - "Day 1528 of 1745, 2005-11-11 00:00:00\n", - "Day 1529 of 1745, 2005-11-14 00:00:00\n", - "Day 1530 of 1745, 2005-11-15 00:00:00\n", - "Day 1531 of 1745, 2005-11-16 00:00:00\n", - "Day 1532 of 1745, 2005-11-17 00:00:00\n", - "Day 1533 of 1745, 2005-11-18 00:00:00\n", - "Day 1534 of 1745, 2005-11-21 00:00:00\n", - "Day 1535 of 1745, 2005-11-22 00:00:00\n", - "Day 1536 of 1745, 2005-11-23 00:00:00\n", - "Day 1537 of 1745, 2005-11-24 00:00:00\n", - "Day 1538 of 1745, 2005-11-25 00:00:00\n", - "Day 1539 of 1745, 2005-11-28 00:00:00\n", - "Day 1540 of 1745, 2005-11-29 00:00:00\n", - "Day 1541 of 1745, 2005-11-30 00:00:00\n", - "Day 1542 of 1745, 2005-12-01 00:00:00\n", - "Day 1543 of 1745, 2005-12-02 00:00:00\n", - "Day 1544 of 1745, 2005-12-05 00:00:00\n", - "Day 1545 of 1745, 2005-12-06 00:00:00\n", - "Day 1546 of 1745, 2005-12-07 00:00:00\n", - "Day 1547 of 1745, 2005-12-08 00:00:00\n", - "Day 1548 of 1745, 2005-12-09 00:00:00\n", - "Day 1549 of 1745, 2005-12-12 00:00:00\n", - "Day 1550 of 1745, 2005-12-13 00:00:00\n", - "Day 1551 of 1745, 2005-12-14 00:00:00\n", - "Day 1552 of 1745, 2005-12-15 00:00:00\n", - "Day 1553 of 1745, 2005-12-16 00:00:00\n", - "Day 1554 of 1745, 2005-12-19 00:00:00\n", - "Day 1555 of 1745, 2005-12-20 00:00:00\n", - "Day 1556 of 1745, 2005-12-21 00:00:00\n", - "Day 1557 of 1745, 2005-12-22 00:00:00\n", - "Day 1558 of 1745, 2005-12-23 00:00:00\n", - "Day 1559 of 1745, 2005-12-26 00:00:00\n", - "Day 1560 of 1745, 2005-12-27 00:00:00\n", - "Day 1561 of 1745, 2005-12-28 00:00:00\n", - "Day 1562 of 1745, 2005-12-29 00:00:00\n", - "Day 1563 of 1745, 2005-12-30 00:00:00\n", - "Day 1564 of 1745, 2006-01-02 00:00:00\n", - "Day 1565 of 1745, 2006-01-03 00:00:00\n", - "Day 1566 of 1745, 2006-01-04 00:00:00\n", - "Day 1567 of 1745, 2006-01-05 00:00:00\n", - "Day 1568 of 1745, 2006-01-06 00:00:00\n", - "Day 1569 of 1745, 2006-01-09 00:00:00\n", - "Day 1570 of 1745, 2006-01-10 00:00:00\n", - "Day 1571 of 1745, 2006-01-11 00:00:00\n", - "Day 1572 of 1745, 2006-01-12 00:00:00\n", - "Day 1573 of 1745, 2006-01-13 00:00:00\n", - "Day 1574 of 1745, 2006-01-16 00:00:00\n", - "Day 1575 of 1745, 2006-01-17 00:00:00\n", - "Day 1576 of 1745, 2006-01-18 00:00:00\n", - "Day 1577 of 1745, 2006-01-19 00:00:00\n", - "Day 1578 of 1745, 2006-01-20 00:00:00\n", - "Day 1579 of 1745, 2006-01-23 00:00:00\n", - "Day 1580 of 1745, 2006-01-24 00:00:00\n", - "Day 1581 of 1745, 2006-01-25 00:00:00\n", - "Day 1582 of 1745, 2006-01-26 00:00:00\n", - "Day 1583 of 1745, 2006-01-27 00:00:00\n", - "Day 1584 of 1745, 2006-01-30 00:00:00\n", - "Day 1585 of 1745, 2006-01-31 00:00:00\n", - "Day 1586 of 1745, 2006-02-01 00:00:00\n", - "Day 1587 of 1745, 2006-02-02 00:00:00\n", - "Day 1588 of 1745, 2006-02-03 00:00:00\n", - "Day 1589 of 1745, 2006-02-06 00:00:00\n", - "Day 1590 of 1745, 2006-02-07 00:00:00\n", - "Day 1591 of 1745, 2006-02-08 00:00:00\n", - "Day 1592 of 1745, 2006-02-09 00:00:00\n", - "Day 1593 of 1745, 2006-02-10 00:00:00\n", - "Day 1594 of 1745, 2006-02-13 00:00:00\n", - "Day 1595 of 1745, 2006-02-14 00:00:00\n", - "Day 1596 of 1745, 2006-02-15 00:00:00\n", - "Day 1597 of 1745, 2006-02-16 00:00:00\n", - "Day 1598 of 1745, 2006-02-17 00:00:00\n", - "Day 1599 of 1745, 2006-02-20 00:00:00\n", - "Day 1600 of 1745, 2006-02-21 00:00:00\n", - "Day 1601 of 1745, 2006-02-22 00:00:00\n", - "Day 1602 of 1745, 2006-02-23 00:00:00\n", - "Day 1603 of 1745, 2006-02-24 00:00:00\n", - "Day 1604 of 1745, 2006-02-27 00:00:00\n", - "Day 1605 of 1745, 2006-02-28 00:00:00\n", - "Day 1606 of 1745, 2006-03-01 00:00:00\n", - "Day 1607 of 1745, 2006-03-02 00:00:00\n", - "Day 1608 of 1745, 2006-03-03 00:00:00\n", - "Day 1609 of 1745, 2006-03-06 00:00:00\n", - "Day 1610 of 1745, 2006-03-07 00:00:00\n", - "Day 1611 of 1745, 2006-03-08 00:00:00\n", - "Day 1612 of 1745, 2006-03-09 00:00:00\n", - "Day 1613 of 1745, 2006-03-10 00:00:00\n", - "Day 1614 of 1745, 2006-03-13 00:00:00\n", - "Day 1615 of 1745, 2006-03-14 00:00:00\n", - "Day 1616 of 1745, 2006-03-15 00:00:00\n", - "Day 1617 of 1745, 2006-03-16 00:00:00\n", - "Day 1618 of 1745, 2006-03-17 00:00:00\n", - "Day 1619 of 1745, 2006-03-20 00:00:00\n", - "Day 1620 of 1745, 2006-03-21 00:00:00\n", - "Day 1621 of 1745, 2006-03-22 00:00:00\n", - "Day 1622 of 1745, 2006-03-23 00:00:00\n", - "Day 1623 of 1745, 2006-03-24 00:00:00\n", - "Day 1624 of 1745, 2006-03-27 00:00:00\n", - "Day 1625 of 1745, 2006-03-28 00:00:00\n", - "Day 1626 of 1745, 2006-03-29 00:00:00\n", - "Day 1627 of 1745, 2006-03-30 00:00:00\n", - "Day 1628 of 1745, 2006-03-31 00:00:00\n", - "Day 1629 of 1745, 2006-04-03 00:00:00\n", - "Day 1630 of 1745, 2006-04-04 00:00:00\n", - "Day 1631 of 1745, 2006-04-05 00:00:00\n", - "Day 1632 of 1745, 2006-04-06 00:00:00\n", - "Day 1633 of 1745, 2006-04-07 00:00:00\n", - "Day 1634 of 1745, 2006-04-10 00:00:00\n", - "Day 1635 of 1745, 2006-04-11 00:00:00\n", - "Day 1636 of 1745, 2006-04-12 00:00:00\n", - "Day 1637 of 1745, 2006-04-13 00:00:00\n", - "Day 1638 of 1745, 2006-04-14 00:00:00\n", - "Day 1639 of 1745, 2006-04-17 00:00:00\n", - "Day 1640 of 1745, 2006-04-18 00:00:00\n", - "Day 1641 of 1745, 2006-04-19 00:00:00\n", - "Day 1642 of 1745, 2006-04-20 00:00:00\n", - "Day 1643 of 1745, 2006-04-21 00:00:00\n", - "Day 1644 of 1745, 2006-04-24 00:00:00\n", - "Day 1645 of 1745, 2006-04-25 00:00:00\n", - "Day 1646 of 1745, 2006-04-26 00:00:00\n", - "Day 1647 of 1745, 2006-04-27 00:00:00\n", - "Day 1648 of 1745, 2006-04-28 00:00:00\n", - "Day 1649 of 1745, 2006-05-01 00:00:00\n", - "Day 1650 of 1745, 2006-05-02 00:00:00\n", - "Day 1651 of 1745, 2006-05-03 00:00:00\n", - "Day 1652 of 1745, 2006-05-04 00:00:00\n", - "Day 1653 of 1745, 2006-05-05 00:00:00\n", - "Day 1654 of 1745, 2006-05-08 00:00:00\n", - "Day 1655 of 1745, 2006-05-09 00:00:00\n", - "Day 1656 of 1745, 2006-05-10 00:00:00\n", - "Day 1657 of 1745, 2006-05-11 00:00:00\n", - "Day 1658 of 1745, 2006-05-12 00:00:00\n", - "Day 1659 of 1745, 2006-05-15 00:00:00\n", - "Day 1660 of 1745, 2006-05-16 00:00:00\n", - "Day 1661 of 1745, 2006-05-17 00:00:00\n", - "Day 1662 of 1745, 2006-05-18 00:00:00\n", - "Day 1663 of 1745, 2006-05-19 00:00:00\n", - "Day 1664 of 1745, 2006-05-22 00:00:00\n", - "Day 1665 of 1745, 2006-05-23 00:00:00\n", - "Day 1666 of 1745, 2006-05-24 00:00:00\n", - "Day 1667 of 1745, 2006-05-25 00:00:00\n", - "Day 1668 of 1745, 2006-05-26 00:00:00\n", - "Day 1669 of 1745, 2006-05-29 00:00:00\n", - "Day 1670 of 1745, 2006-05-30 00:00:00\n", - "Day 1671 of 1745, 2006-05-31 00:00:00\n", - "Day 1672 of 1745, 2006-06-01 00:00:00\n", - "Day 1673 of 1745, 2006-06-02 00:00:00\n", - "Day 1674 of 1745, 2006-06-05 00:00:00\n", - "Day 1675 of 1745, 2006-06-06 00:00:00\n", - "Day 1676 of 1745, 2006-06-07 00:00:00\n", - "Day 1677 of 1745, 2006-06-08 00:00:00\n", - "Day 1678 of 1745, 2006-06-09 00:00:00\n", - "Day 1679 of 1745, 2006-06-12 00:00:00\n", - "Day 1680 of 1745, 2006-06-13 00:00:00\n", - "Day 1681 of 1745, 2006-06-14 00:00:00\n", - "Day 1682 of 1745, 2006-06-15 00:00:00\n", - "Day 1683 of 1745, 2006-06-16 00:00:00\n", - "Day 1684 of 1745, 2006-06-19 00:00:00\n", - "Day 1685 of 1745, 2006-06-20 00:00:00\n", - "Day 1686 of 1745, 2006-06-21 00:00:00\n", - "Day 1687 of 1745, 2006-06-22 00:00:00\n", - "Day 1688 of 1745, 2006-06-23 00:00:00\n", - "Day 1689 of 1745, 2006-06-26 00:00:00\n", - "Day 1690 of 1745, 2006-06-27 00:00:00\n", - "Day 1691 of 1745, 2006-06-28 00:00:00\n", - "Day 1692 of 1745, 2006-06-29 00:00:00\n", - "Day 1693 of 1745, 2006-06-30 00:00:00\n", - "Day 1694 of 1745, 2006-07-03 00:00:00\n", - "Day 1695 of 1745, 2006-07-04 00:00:00\n", - "Day 1696 of 1745, 2006-07-05 00:00:00\n", - "Day 1697 of 1745, 2006-07-06 00:00:00\n", - "Day 1698 of 1745, 2006-07-07 00:00:00\n", - "Day 1699 of 1745, 2006-07-10 00:00:00\n", - "Day 1700 of 1745, 2006-07-11 00:00:00\n", - "Day 1701 of 1745, 2006-07-12 00:00:00\n", - "Day 1702 of 1745, 2006-07-13 00:00:00\n", - "Day 1703 of 1745, 2006-07-14 00:00:00\n", - "Day 1704 of 1745, 2006-07-17 00:00:00\n", - "Day 1705 of 1745, 2006-07-18 00:00:00\n", - "Day 1706 of 1745, 2006-07-19 00:00:00\n", - "Day 1707 of 1745, 2006-07-20 00:00:00\n", - "Day 1708 of 1745, 2006-07-21 00:00:00\n", - "Day 1709 of 1745, 2006-07-24 00:00:00\n", - "Day 1710 of 1745, 2006-07-25 00:00:00\n", - "Day 1711 of 1745, 2006-07-26 00:00:00\n", - "Day 1712 of 1745, 2006-07-27 00:00:00\n", - "Day 1713 of 1745, 2006-07-28 00:00:00\n", - "Day 1714 of 1745, 2006-07-31 00:00:00\n", - "Day 1715 of 1745, 2006-08-01 00:00:00\n", - "Day 1716 of 1745, 2006-08-02 00:00:00\n", - "Day 1717 of 1745, 2006-08-03 00:00:00\n", - "Day 1718 of 1745, 2006-08-04 00:00:00\n", - "Day 1719 of 1745, 2006-08-07 00:00:00\n", - "Day 1720 of 1745, 2006-08-08 00:00:00\n", - "Day 1721 of 1745, 2006-08-09 00:00:00\n", - "Day 1722 of 1745, 2006-08-10 00:00:00\n", - "Day 1723 of 1745, 2006-08-11 00:00:00\n", - "Day 1724 of 1745, 2006-08-14 00:00:00\n", - "Day 1725 of 1745, 2006-08-15 00:00:00\n", - "Day 1726 of 1745, 2006-08-16 00:00:00\n", - "Day 1727 of 1745, 2006-08-17 00:00:00\n", - "Day 1728 of 1745, 2006-08-18 00:00:00\n", - "Day 1729 of 1745, 2006-08-21 00:00:00\n", - "Day 1730 of 1745, 2006-08-22 00:00:00\n", - "Day 1731 of 1745, 2006-08-23 00:00:00\n", - "Day 1732 of 1745, 2006-08-24 00:00:00\n", - "Day 1733 of 1745, 2006-08-25 00:00:00\n", - "Day 1734 of 1745, 2006-08-28 00:00:00\n", - "Day 1735 of 1745, 2006-08-29 00:00:00\n", - "Day 1736 of 1745, 2006-08-30 00:00:00\n", - "Day 1737 of 1745, 2006-08-31 00:00:00\n", - "Day 1738 of 1745, 2006-09-01 00:00:00\n", - "Day 1739 of 1745, 2006-09-04 00:00:00\n", - "Day 1740 of 1745, 2006-09-05 00:00:00\n", - "Day 1741 of 1745, 2006-09-06 00:00:00\n", - "Day 1742 of 1745, 2006-09-07 00:00:00\n", - "Day 1743 of 1745, 2006-09-08 00:00:00\n", - "Day 1744 of 1745, 2006-09-11 00:00:00\n" - ] - } - ], - "source": [ - "targets = Targets(\n", - " T_max=25 / 252,\n", - " L_max=1.6,\n", - " risk_target=0.1/np.sqrt(252),\n", - " ) \n", - "\n", - "hyperparameters = HyperParameters(1,1, 0, 0, 0)\n", - "\n", - "results_hard_dual = run_hard_backtest(\n", - " solve_hard_markowitz,\n", - " targets,\n", - " hyperparameters,\n", - " prices_hard,\n", - " spread_hard,\n", - " volume_hard,\n", - " rf_hard,\n", - " verbose=True,\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "risk: 0.0683365969854332\n", - "turnover: 0.005337280812087899\n", - "leverage: 0.00041644380239440457\n" - ] - } - ], - "source": [ - "print(f\"risk: {results_hard_dual.dual_optimals.Risk.quantile(0.7)}\")\n", - "print(f\"turnover: {results_hard_dual.dual_optimals.Turnover.quantile(0.7)}\")\n", - "print(f\"leverage: {0.25*results_hard_dual.dual_optimals.Leverage.quantile(1)}\")" - ] - }, - { - "cell_type": "code", - "execution_count": 54, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Day 500 of 4936, 2006-09-19 00:00:00\n", - "Day 501 of 4936, 2006-09-20 00:00:00\n", - "Day 502 of 4936, 2006-09-21 00:00:00\n", - "Day 503 of 4936, 2006-09-22 00:00:00\n", - "Day 504 of 4936, 2006-09-25 00:00:00\n", - "Day 505 of 4936, 2006-09-26 00:00:00\n", - "Day 506 of 4936, 2006-09-27 00:00:00\n", - "Day 507 of 4936, 2006-09-28 00:00:00\n", - "Day 508 of 4936, 2006-09-29 00:00:00\n", - "Day 509 of 4936, 2006-10-02 00:00:00\n", - "Day 510 of 4936, 2006-10-03 00:00:00\n", - "Day 511 of 4936, 2006-10-04 00:00:00\n", - "Day 512 of 4936, 2006-10-05 00:00:00\n", - "Day 513 of 4936, 2006-10-06 00:00:00\n", - "Day 514 of 4936, 2006-10-09 00:00:00\n", - "Day 515 of 4936, 2006-10-10 00:00:00\n", - "Day 516 of 4936, 2006-10-11 00:00:00\n", - "Day 517 of 4936, 2006-10-12 00:00:00\n", - "Day 518 of 4936, 2006-10-13 00:00:00\n", - "Day 519 of 4936, 2006-10-16 00:00:00\n", - "Day 520 of 4936, 2006-10-17 00:00:00\n", - "Day 521 of 4936, 2006-10-18 00:00:00\n", - "Day 522 of 4936, 2006-10-19 00:00:00\n", - "Day 523 of 4936, 2006-10-20 00:00:00\n", - "Day 524 of 4936, 2006-10-23 00:00:00\n", - "Day 525 of 4936, 2006-10-24 00:00:00\n", - "Day 526 of 4936, 2006-10-25 00:00:00\n", - "Day 527 of 4936, 2006-10-26 00:00:00\n", - "Day 528 of 4936, 2006-10-27 00:00:00\n", - "Day 529 of 4936, 2006-10-30 00:00:00\n", - "Day 530 of 4936, 2006-10-31 00:00:00\n", - "Day 531 of 4936, 2006-11-01 00:00:00\n", - "Day 532 of 4936, 2006-11-02 00:00:00\n", - "Day 533 of 4936, 2006-11-03 00:00:00\n", - "Day 534 of 4936, 2006-11-06 00:00:00\n", - "Day 535 of 4936, 2006-11-07 00:00:00\n", - "Day 536 of 4936, 2006-11-08 00:00:00\n", - "Day 537 of 4936, 2006-11-09 00:00:00\n", - "Day 538 of 4936, 2006-11-10 00:00:00\n", - "Day 539 of 4936, 2006-11-13 00:00:00\n", - "Day 540 of 4936, 2006-11-14 00:00:00\n", - "Day 541 of 4936, 2006-11-15 00:00:00\n", - "Day 542 of 4936, 2006-11-16 00:00:00\n", - "Day 543 of 4936, 2006-11-17 00:00:00\n", - "Day 544 of 4936, 2006-11-20 00:00:00\n", - "Day 545 of 4936, 2006-11-21 00:00:00\n", - "Day 546 of 4936, 2006-11-22 00:00:00\n", - "Day 547 of 4936, 2006-11-23 00:00:00\n", - "Day 548 of 4936, 2006-11-24 00:00:00\n", - "Day 549 of 4936, 2006-11-27 00:00:00\n", - "Day 550 of 4936, 2006-11-28 00:00:00\n", - "Day 551 of 4936, 2006-11-29 00:00:00\n", - "Day 552 of 4936, 2006-11-30 00:00:00\n", - "Day 553 of 4936, 2006-12-01 00:00:00\n", - "Day 554 of 4936, 2006-12-04 00:00:00\n", - "Day 555 of 4936, 2006-12-05 00:00:00\n", - "Day 556 of 4936, 2006-12-06 00:00:00\n", - "Day 557 of 4936, 2006-12-07 00:00:00\n", - "Day 558 of 4936, 2006-12-08 00:00:00\n", - "Day 559 of 4936, 2006-12-11 00:00:00\n", - "Day 560 of 4936, 2006-12-12 00:00:00\n", - "Day 561 of 4936, 2006-12-13 00:00:00\n", - "Day 562 of 4936, 2006-12-14 00:00:00\n", - "Day 563 of 4936, 2006-12-15 00:00:00\n", - "Day 564 of 4936, 2006-12-18 00:00:00\n", - "Day 565 of 4936, 2006-12-19 00:00:00\n", - "Day 566 of 4936, 2006-12-20 00:00:00\n", - "Day 567 of 4936, 2006-12-21 00:00:00\n", - "Day 568 of 4936, 2006-12-22 00:00:00\n", - "Day 569 of 4936, 2006-12-25 00:00:00\n", - "Day 570 of 4936, 2006-12-26 00:00:00\n", - "Day 571 of 4936, 2006-12-27 00:00:00\n", - "Day 572 of 4936, 2006-12-28 00:00:00\n", - "Day 573 of 4936, 2006-12-29 00:00:00\n", - "Day 574 of 4936, 2007-01-01 00:00:00\n", - "Day 575 of 4936, 2007-01-02 00:00:00\n", - "Day 576 of 4936, 2007-01-03 00:00:00\n", - "Day 577 of 4936, 2007-01-04 00:00:00\n", - "Day 578 of 4936, 2007-01-05 00:00:00\n", - "Day 579 of 4936, 2007-01-08 00:00:00\n", - "Day 580 of 4936, 2007-01-09 00:00:00\n", - "Day 581 of 4936, 2007-01-10 00:00:00\n", - "Day 582 of 4936, 2007-01-11 00:00:00\n", - "Day 583 of 4936, 2007-01-12 00:00:00\n", - "Day 584 of 4936, 2007-01-15 00:00:00\n", - "Day 585 of 4936, 2007-01-16 00:00:00\n", - "Day 586 of 4936, 2007-01-17 00:00:00\n", - "Day 587 of 4936, 2007-01-18 00:00:00\n", - "Day 588 of 4936, 2007-01-19 00:00:00\n", - "Day 589 of 4936, 2007-01-22 00:00:00\n", - "Day 590 of 4936, 2007-01-23 00:00:00\n", - "Day 591 of 4936, 2007-01-24 00:00:00\n", - "Day 592 of 4936, 2007-01-25 00:00:00\n", - "Day 593 of 4936, 2007-01-26 00:00:00\n", - "Day 594 of 4936, 2007-01-29 00:00:00\n", - "Day 595 of 4936, 2007-01-30 00:00:00\n", - "Day 596 of 4936, 2007-01-31 00:00:00\n", - "Day 597 of 4936, 2007-02-01 00:00:00\n", - "Day 598 of 4936, 2007-02-02 00:00:00\n", - "Day 599 of 4936, 2007-02-05 00:00:00\n", - "Day 600 of 4936, 2007-02-06 00:00:00\n", - "Day 601 of 4936, 2007-02-07 00:00:00\n", - "Day 602 of 4936, 2007-02-08 00:00:00\n", - "Day 603 of 4936, 2007-02-09 00:00:00\n", - "Day 604 of 4936, 2007-02-12 00:00:00\n", - "Day 605 of 4936, 2007-02-13 00:00:00\n", - "Day 606 of 4936, 2007-02-14 00:00:00\n", - "Day 607 of 4936, 2007-02-15 00:00:00\n", - "Day 608 of 4936, 2007-02-16 00:00:00\n", - "Day 609 of 4936, 2007-02-19 00:00:00\n", - "Day 610 of 4936, 2007-02-20 00:00:00\n", - "Day 611 of 4936, 2007-02-21 00:00:00\n", - "Day 612 of 4936, 2007-02-22 00:00:00\n", - "Day 613 of 4936, 2007-02-23 00:00:00\n", - "Day 614 of 4936, 2007-02-26 00:00:00\n", - "Day 615 of 4936, 2007-02-27 00:00:00\n", - "Day 616 of 4936, 2007-02-28 00:00:00\n", - "Day 617 of 4936, 2007-03-01 00:00:00\n", - "Day 618 of 4936, 2007-03-02 00:00:00\n", - "Day 619 of 4936, 2007-03-05 00:00:00\n", - "Day 620 of 4936, 2007-03-06 00:00:00\n", - "Day 621 of 4936, 2007-03-07 00:00:00\n", - "Day 622 of 4936, 2007-03-08 00:00:00\n", - "Day 623 of 4936, 2007-03-09 00:00:00\n", - "Day 624 of 4936, 2007-03-12 00:00:00\n", - "Day 625 of 4936, 2007-03-13 00:00:00\n", - "Day 626 of 4936, 2007-03-14 00:00:00\n", - "Day 627 of 4936, 2007-03-15 00:00:00\n", - "Day 628 of 4936, 2007-03-16 00:00:00\n", - "Day 629 of 4936, 2007-03-19 00:00:00\n", - "Day 630 of 4936, 2007-03-20 00:00:00\n", - "Day 631 of 4936, 2007-03-21 00:00:00\n", - "Day 632 of 4936, 2007-03-22 00:00:00\n", - "Day 633 of 4936, 2007-03-23 00:00:00\n", - "Day 634 of 4936, 2007-03-26 00:00:00\n", - "Day 635 of 4936, 2007-03-27 00:00:00\n", - "Day 636 of 4936, 2007-03-28 00:00:00\n", - "Day 637 of 4936, 2007-03-29 00:00:00\n", - "Day 638 of 4936, 2007-03-30 00:00:00\n", - "Day 639 of 4936, 2007-04-02 00:00:00\n", - "Day 640 of 4936, 2007-04-03 00:00:00\n", - "Day 641 of 4936, 2007-04-04 00:00:00\n", - "Day 642 of 4936, 2007-04-05 00:00:00\n", - "Day 643 of 4936, 2007-04-06 00:00:00\n", - "Day 644 of 4936, 2007-04-09 00:00:00\n", - "Day 645 of 4936, 2007-04-10 00:00:00\n", - "Day 646 of 4936, 2007-04-11 00:00:00\n", - "Day 647 of 4936, 2007-04-12 00:00:00\n", - "Day 648 of 4936, 2007-04-13 00:00:00\n", - "Day 649 of 4936, 2007-04-16 00:00:00\n", - "Day 650 of 4936, 2007-04-17 00:00:00\n", - "Day 651 of 4936, 2007-04-18 00:00:00\n", - "Day 652 of 4936, 2007-04-19 00:00:00\n", - "Day 653 of 4936, 2007-04-20 00:00:00\n", - "Day 654 of 4936, 2007-04-23 00:00:00\n", - "Day 655 of 4936, 2007-04-24 00:00:00\n", - "Day 656 of 4936, 2007-04-25 00:00:00\n", - "Day 657 of 4936, 2007-04-26 00:00:00\n", - "Day 658 of 4936, 2007-04-27 00:00:00\n", - "Day 659 of 4936, 2007-04-30 00:00:00\n", - "Day 660 of 4936, 2007-05-01 00:00:00\n", - "Day 661 of 4936, 2007-05-02 00:00:00\n", - "Day 662 of 4936, 2007-05-03 00:00:00\n", - "Day 663 of 4936, 2007-05-04 00:00:00\n", - "Day 664 of 4936, 2007-05-07 00:00:00\n", - "Day 665 of 4936, 2007-05-08 00:00:00\n", - "Day 666 of 4936, 2007-05-09 00:00:00\n", - "Day 667 of 4936, 2007-05-10 00:00:00\n", - "Day 668 of 4936, 2007-05-11 00:00:00\n", - "Day 669 of 4936, 2007-05-14 00:00:00\n", - "Day 670 of 4936, 2007-05-15 00:00:00\n", - "Day 671 of 4936, 2007-05-16 00:00:00\n", - "Day 672 of 4936, 2007-05-17 00:00:00\n", - "Day 673 of 4936, 2007-05-18 00:00:00\n", - "Day 674 of 4936, 2007-05-21 00:00:00\n", - "Day 675 of 4936, 2007-05-22 00:00:00\n", - "Day 676 of 4936, 2007-05-23 00:00:00\n", - "Day 677 of 4936, 2007-05-24 00:00:00\n", - "Day 678 of 4936, 2007-05-25 00:00:00\n", - "Day 679 of 4936, 2007-05-28 00:00:00\n", - "Day 680 of 4936, 2007-05-29 00:00:00\n", - "Day 681 of 4936, 2007-05-30 00:00:00\n", - "Day 682 of 4936, 2007-05-31 00:00:00\n", - "Day 683 of 4936, 2007-06-01 00:00:00\n", - "Day 684 of 4936, 2007-06-04 00:00:00\n", - "Day 685 of 4936, 2007-06-05 00:00:00\n", - "Day 686 of 4936, 2007-06-06 00:00:00\n", - "Day 687 of 4936, 2007-06-07 00:00:00\n", - "Day 688 of 4936, 2007-06-08 00:00:00\n", - "Day 689 of 4936, 2007-06-11 00:00:00\n", - "Day 690 of 4936, 2007-06-12 00:00:00\n", - "Day 691 of 4936, 2007-06-13 00:00:00\n", - "Day 692 of 4936, 2007-06-14 00:00:00\n", - "Day 693 of 4936, 2007-06-15 00:00:00\n", - "Day 694 of 4936, 2007-06-18 00:00:00\n", - "Day 695 of 4936, 2007-06-19 00:00:00\n", - "Day 696 of 4936, 2007-06-20 00:00:00\n", - "Day 697 of 4936, 2007-06-21 00:00:00\n", - "Day 698 of 4936, 2007-06-22 00:00:00\n", - "Day 699 of 4936, 2007-06-25 00:00:00\n", - "Day 700 of 4936, 2007-06-26 00:00:00\n", - "Day 701 of 4936, 2007-06-27 00:00:00\n", - "Day 702 of 4936, 2007-06-28 00:00:00\n", - "Day 703 of 4936, 2007-06-29 00:00:00\n", - "Day 704 of 4936, 2007-07-02 00:00:00\n", - "Day 705 of 4936, 2007-07-03 00:00:00\n", - "Day 706 of 4936, 2007-07-04 00:00:00\n", - "Day 707 of 4936, 2007-07-05 00:00:00\n", - "Day 708 of 4936, 2007-07-06 00:00:00\n", - "Day 709 of 4936, 2007-07-09 00:00:00\n", - "Day 710 of 4936, 2007-07-10 00:00:00\n", - "Day 711 of 4936, 2007-07-11 00:00:00\n", - "Day 712 of 4936, 2007-07-12 00:00:00\n", - "Day 713 of 4936, 2007-07-13 00:00:00\n", - "Day 714 of 4936, 2007-07-16 00:00:00\n", - "Day 715 of 4936, 2007-07-17 00:00:00\n", - "Day 716 of 4936, 2007-07-18 00:00:00\n", - "Day 717 of 4936, 2007-07-19 00:00:00\n", - "Day 718 of 4936, 2007-07-20 00:00:00\n", - "Day 719 of 4936, 2007-07-23 00:00:00\n", - "Day 720 of 4936, 2007-07-24 00:00:00\n", - "Day 721 of 4936, 2007-07-25 00:00:00\n", - "Day 722 of 4936, 2007-07-26 00:00:00\n", - "Day 723 of 4936, 2007-07-27 00:00:00\n", - "Day 724 of 4936, 2007-07-30 00:00:00\n", - "Day 725 of 4936, 2007-07-31 00:00:00\n", - "Day 726 of 4936, 2007-08-01 00:00:00\n", - "Day 727 of 4936, 2007-08-02 00:00:00\n", - "Day 728 of 4936, 2007-08-03 00:00:00\n", - "Day 729 of 4936, 2007-08-06 00:00:00\n", - "Day 730 of 4936, 2007-08-07 00:00:00\n", - "Day 731 of 4936, 2007-08-08 00:00:00\n", - "Day 732 of 4936, 2007-08-09 00:00:00\n", - "Day 733 of 4936, 2007-08-10 00:00:00\n", - "Day 734 of 4936, 2007-08-13 00:00:00\n", - "Day 735 of 4936, 2007-08-14 00:00:00\n", - "Day 736 of 4936, 2007-08-15 00:00:00\n", - "Day 737 of 4936, 2007-08-16 00:00:00\n", - "Day 738 of 4936, 2007-08-17 00:00:00\n", - "Day 739 of 4936, 2007-08-20 00:00:00\n", - "Day 740 of 4936, 2007-08-21 00:00:00\n", - "Day 741 of 4936, 2007-08-22 00:00:00\n", - "Day 742 of 4936, 2007-08-23 00:00:00\n", - "Day 743 of 4936, 2007-08-24 00:00:00\n", - "Day 744 of 4936, 2007-08-27 00:00:00\n", - "Day 745 of 4936, 2007-08-28 00:00:00\n", - "Day 746 of 4936, 2007-08-29 00:00:00\n", - "Day 747 of 4936, 2007-08-30 00:00:00\n", - "Day 748 of 4936, 2007-08-31 00:00:00\n", - "Day 749 of 4936, 2007-09-03 00:00:00\n", - "Day 750 of 4936, 2007-09-04 00:00:00\n", - "Day 751 of 4936, 2007-09-05 00:00:00\n", - "Day 752 of 4936, 2007-09-06 00:00:00\n", - "Day 753 of 4936, 2007-09-07 00:00:00\n", - "Day 754 of 4936, 2007-09-10 00:00:00\n", - "Day 755 of 4936, 2007-09-11 00:00:00\n", - "Day 756 of 4936, 2007-09-12 00:00:00\n", - "Day 757 of 4936, 2007-09-13 00:00:00\n", - "Day 758 of 4936, 2007-09-14 00:00:00\n", - "Day 759 of 4936, 2007-09-17 00:00:00\n", - "Day 760 of 4936, 2007-09-18 00:00:00\n", - "Day 761 of 4936, 2007-09-19 00:00:00\n", - "Day 762 of 4936, 2007-09-20 00:00:00\n", - "Day 763 of 4936, 2007-09-21 00:00:00\n", - "Day 764 of 4936, 2007-09-24 00:00:00\n", - "Day 765 of 4936, 2007-09-25 00:00:00\n", - "Day 766 of 4936, 2007-09-26 00:00:00\n", - "Day 767 of 4936, 2007-09-27 00:00:00\n", - "Day 768 of 4936, 2007-09-28 00:00:00\n", - "Day 769 of 4936, 2007-10-01 00:00:00\n", - "Day 770 of 4936, 2007-10-02 00:00:00\n", - "Day 771 of 4936, 2007-10-03 00:00:00\n", - "Day 772 of 4936, 2007-10-04 00:00:00\n", - "Day 773 of 4936, 2007-10-05 00:00:00\n", - "Day 774 of 4936, 2007-10-08 00:00:00\n", - "Day 775 of 4936, 2007-10-09 00:00:00\n", - "Day 776 of 4936, 2007-10-10 00:00:00\n", - "Day 777 of 4936, 2007-10-11 00:00:00\n", - "Day 778 of 4936, 2007-10-12 00:00:00\n", - "Day 779 of 4936, 2007-10-15 00:00:00\n", - "Day 780 of 4936, 2007-10-16 00:00:00\n", - "Day 781 of 4936, 2007-10-17 00:00:00\n", - "Day 782 of 4936, 2007-10-18 00:00:00\n", - "Day 783 of 4936, 2007-10-19 00:00:00\n", - "Day 784 of 4936, 2007-10-22 00:00:00\n", - "Day 785 of 4936, 2007-10-23 00:00:00\n", - "Day 786 of 4936, 2007-10-24 00:00:00\n", - "Day 787 of 4936, 2007-10-25 00:00:00\n", - "Day 788 of 4936, 2007-10-26 00:00:00\n", - "Day 789 of 4936, 2007-10-29 00:00:00\n", - "Day 790 of 4936, 2007-10-30 00:00:00\n", - "Day 791 of 4936, 2007-10-31 00:00:00\n", - "Day 792 of 4936, 2007-11-01 00:00:00\n", - "Day 793 of 4936, 2007-11-02 00:00:00\n", - "Day 794 of 4936, 2007-11-05 00:00:00\n", - "Day 795 of 4936, 2007-11-06 00:00:00\n", - "Day 796 of 4936, 2007-11-07 00:00:00\n", - "Day 797 of 4936, 2007-11-08 00:00:00\n", - "Day 798 of 4936, 2007-11-09 00:00:00\n", - "Day 799 of 4936, 2007-11-12 00:00:00\n", - "Day 800 of 4936, 2007-11-13 00:00:00\n", - "Day 801 of 4936, 2007-11-14 00:00:00\n", - "Day 802 of 4936, 2007-11-15 00:00:00\n", - "Day 803 of 4936, 2007-11-16 00:00:00\n", - "Day 804 of 4936, 2007-11-19 00:00:00\n", - "Day 805 of 4936, 2007-11-20 00:00:00\n", - "Day 806 of 4936, 2007-11-21 00:00:00\n", - "Day 807 of 4936, 2007-11-22 00:00:00\n", - "Day 808 of 4936, 2007-11-23 00:00:00\n", - "Day 809 of 4936, 2007-11-26 00:00:00\n", - "Day 810 of 4936, 2007-11-27 00:00:00\n", - "Day 811 of 4936, 2007-11-28 00:00:00\n", - "Day 812 of 4936, 2007-11-29 00:00:00\n", - "Day 813 of 4936, 2007-11-30 00:00:00\n", - "Day 814 of 4936, 2007-12-03 00:00:00\n", - "Day 815 of 4936, 2007-12-04 00:00:00\n", - "Day 816 of 4936, 2007-12-05 00:00:00\n", - "Day 817 of 4936, 2007-12-06 00:00:00\n", - "Day 818 of 4936, 2007-12-07 00:00:00\n", - "Day 819 of 4936, 2007-12-10 00:00:00\n", - "Day 820 of 4936, 2007-12-11 00:00:00\n", - "Day 821 of 4936, 2007-12-12 00:00:00\n", - "Day 822 of 4936, 2007-12-13 00:00:00\n", - "Day 823 of 4936, 2007-12-14 00:00:00\n", - "Day 824 of 4936, 2007-12-17 00:00:00\n", - "Day 825 of 4936, 2007-12-18 00:00:00\n", - "Day 826 of 4936, 2007-12-19 00:00:00\n", - "Day 827 of 4936, 2007-12-20 00:00:00\n", - "Day 828 of 4936, 2007-12-21 00:00:00\n", - "Day 829 of 4936, 2007-12-24 00:00:00\n", - "Day 830 of 4936, 2007-12-25 00:00:00\n", - "Day 831 of 4936, 2007-12-26 00:00:00\n", - "Day 832 of 4936, 2007-12-27 00:00:00\n", - "Day 833 of 4936, 2007-12-28 00:00:00\n", - "Day 834 of 4936, 2007-12-31 00:00:00\n", - "Day 835 of 4936, 2008-01-01 00:00:00\n", - "Day 836 of 4936, 2008-01-02 00:00:00\n", - "Day 837 of 4936, 2008-01-03 00:00:00\n", - "Day 838 of 4936, 2008-01-04 00:00:00\n", - "Day 839 of 4936, 2008-01-07 00:00:00\n", - "Day 840 of 4936, 2008-01-08 00:00:00\n", - "Day 841 of 4936, 2008-01-09 00:00:00\n", - "Day 842 of 4936, 2008-01-10 00:00:00\n", - "Day 843 of 4936, 2008-01-11 00:00:00\n", - "Day 844 of 4936, 2008-01-14 00:00:00\n", - "Day 845 of 4936, 2008-01-15 00:00:00\n", - "Day 846 of 4936, 2008-01-16 00:00:00\n", - "Day 847 of 4936, 2008-01-17 00:00:00\n", - "Day 848 of 4936, 2008-01-18 00:00:00\n", - "Day 849 of 4936, 2008-01-21 00:00:00\n", - "Day 850 of 4936, 2008-01-22 00:00:00\n", - "Day 851 of 4936, 2008-01-23 00:00:00\n", - "Day 852 of 4936, 2008-01-24 00:00:00\n", - "Day 853 of 4936, 2008-01-25 00:00:00\n", - "Day 854 of 4936, 2008-01-28 00:00:00\n", - "Day 855 of 4936, 2008-01-29 00:00:00\n", - "Day 856 of 4936, 2008-01-30 00:00:00\n", - "Day 857 of 4936, 2008-01-31 00:00:00\n", - "Day 858 of 4936, 2008-02-01 00:00:00\n", - "Day 859 of 4936, 2008-02-04 00:00:00\n", - "Day 860 of 4936, 2008-02-05 00:00:00\n", - "Day 861 of 4936, 2008-02-06 00:00:00\n", - "Day 862 of 4936, 2008-02-07 00:00:00\n", - "Day 863 of 4936, 2008-02-08 00:00:00\n", - "Day 864 of 4936, 2008-02-11 00:00:00\n", - "Day 865 of 4936, 2008-02-12 00:00:00\n", - "Day 866 of 4936, 2008-02-13 00:00:00\n", - "Day 867 of 4936, 2008-02-14 00:00:00\n", - "Day 868 of 4936, 2008-02-15 00:00:00\n", - "Day 869 of 4936, 2008-02-18 00:00:00\n", - "Day 870 of 4936, 2008-02-19 00:00:00\n", - "Day 871 of 4936, 2008-02-20 00:00:00\n", - "Day 872 of 4936, 2008-02-21 00:00:00\n", - "Day 873 of 4936, 2008-02-22 00:00:00\n", - "Day 874 of 4936, 2008-02-25 00:00:00\n", - "Day 875 of 4936, 2008-02-26 00:00:00\n", - "Day 876 of 4936, 2008-02-27 00:00:00\n", - "Day 877 of 4936, 2008-02-28 00:00:00\n", - "Day 878 of 4936, 2008-02-29 00:00:00\n", - "Day 879 of 4936, 2008-03-03 00:00:00\n", - "Day 880 of 4936, 2008-03-04 00:00:00\n", - "Day 881 of 4936, 2008-03-05 00:00:00\n", - "Day 882 of 4936, 2008-03-06 00:00:00\n", - "Day 883 of 4936, 2008-03-07 00:00:00\n", - "Day 884 of 4936, 2008-03-10 00:00:00\n", - "Day 885 of 4936, 2008-03-11 00:00:00\n", - "Day 886 of 4936, 2008-03-12 00:00:00\n", - "Day 887 of 4936, 2008-03-13 00:00:00\n", - "Day 888 of 4936, 2008-03-14 00:00:00\n", - "Day 889 of 4936, 2008-03-17 00:00:00\n", - "Day 890 of 4936, 2008-03-18 00:00:00\n", - "Day 891 of 4936, 2008-03-19 00:00:00\n", - "Day 892 of 4936, 2008-03-20 00:00:00\n", - "Day 893 of 4936, 2008-03-21 00:00:00\n", - "Day 894 of 4936, 2008-03-24 00:00:00\n", - "Day 895 of 4936, 2008-03-25 00:00:00\n", - "Day 896 of 4936, 2008-03-26 00:00:00\n", - "Day 897 of 4936, 2008-03-27 00:00:00\n", - "Day 898 of 4936, 2008-03-28 00:00:00\n", - "Day 899 of 4936, 2008-03-31 00:00:00\n", - "Day 900 of 4936, 2008-04-01 00:00:00\n", - "Day 901 of 4936, 2008-04-02 00:00:00\n", - "Day 902 of 4936, 2008-04-03 00:00:00\n", - "Day 903 of 4936, 2008-04-04 00:00:00\n", - "Day 904 of 4936, 2008-04-07 00:00:00\n", - "Day 905 of 4936, 2008-04-08 00:00:00\n", - "Day 906 of 4936, 2008-04-09 00:00:00\n", - "Day 907 of 4936, 2008-04-10 00:00:00\n", - "Day 908 of 4936, 2008-04-11 00:00:00\n", - "Day 909 of 4936, 2008-04-14 00:00:00\n", - "Day 910 of 4936, 2008-04-15 00:00:00\n", - "Day 911 of 4936, 2008-04-16 00:00:00\n", - "Day 912 of 4936, 2008-04-17 00:00:00\n", - "Day 913 of 4936, 2008-04-18 00:00:00\n", - "Day 914 of 4936, 2008-04-21 00:00:00\n", - "Day 915 of 4936, 2008-04-22 00:00:00\n", - "Day 916 of 4936, 2008-04-23 00:00:00\n", - "Day 917 of 4936, 2008-04-24 00:00:00\n", - "Day 918 of 4936, 2008-04-25 00:00:00\n", - "Day 919 of 4936, 2008-04-28 00:00:00\n", - "Day 920 of 4936, 2008-04-29 00:00:00\n", - "Day 921 of 4936, 2008-04-30 00:00:00\n", - "Day 922 of 4936, 2008-05-01 00:00:00\n", - "Day 923 of 4936, 2008-05-02 00:00:00\n", - "Day 924 of 4936, 2008-05-05 00:00:00\n", - "Day 925 of 4936, 2008-05-06 00:00:00\n", - "Day 926 of 4936, 2008-05-07 00:00:00\n", - "Day 927 of 4936, 2008-05-08 00:00:00\n", - "Day 928 of 4936, 2008-05-09 00:00:00\n", - "Day 929 of 4936, 2008-05-12 00:00:00\n", - "Day 930 of 4936, 2008-05-13 00:00:00\n", - "Day 931 of 4936, 2008-05-14 00:00:00\n", - "Day 932 of 4936, 2008-05-15 00:00:00\n", - "Day 933 of 4936, 2008-05-16 00:00:00\n", - "Day 934 of 4936, 2008-05-19 00:00:00\n", - "Day 935 of 4936, 2008-05-20 00:00:00\n", - "Day 936 of 4936, 2008-05-21 00:00:00\n", - "Day 937 of 4936, 2008-05-22 00:00:00\n", - "Day 938 of 4936, 2008-05-23 00:00:00\n", - "Day 939 of 4936, 2008-05-26 00:00:00\n", - "Day 940 of 4936, 2008-05-27 00:00:00\n", - "Day 941 of 4936, 2008-05-28 00:00:00\n", - "Day 942 of 4936, 2008-05-29 00:00:00\n", - "Day 943 of 4936, 2008-05-30 00:00:00\n", - "Day 944 of 4936, 2008-06-02 00:00:00\n", - "Day 945 of 4936, 2008-06-03 00:00:00\n", - "Day 946 of 4936, 2008-06-04 00:00:00\n", - "Day 947 of 4936, 2008-06-05 00:00:00\n", - "Day 948 of 4936, 2008-06-06 00:00:00\n", - "Day 949 of 4936, 2008-06-09 00:00:00\n", - "Day 950 of 4936, 2008-06-10 00:00:00\n", - "Day 951 of 4936, 2008-06-11 00:00:00\n", - "Day 952 of 4936, 2008-06-12 00:00:00\n", - "Day 953 of 4936, 2008-06-13 00:00:00\n", - "Day 954 of 4936, 2008-06-16 00:00:00\n", - "Day 955 of 4936, 2008-06-17 00:00:00\n", - "Day 956 of 4936, 2008-06-18 00:00:00\n", - "Day 957 of 4936, 2008-06-19 00:00:00\n", - "Day 958 of 4936, 2008-06-20 00:00:00\n", - "Day 959 of 4936, 2008-06-23 00:00:00\n", - "Day 960 of 4936, 2008-06-24 00:00:00\n", - "Day 961 of 4936, 2008-06-25 00:00:00\n", - "Day 962 of 4936, 2008-06-26 00:00:00\n", - "Day 963 of 4936, 2008-06-27 00:00:00\n", - "Day 964 of 4936, 2008-06-30 00:00:00\n", - "Day 965 of 4936, 2008-07-01 00:00:00\n", - "Day 966 of 4936, 2008-07-02 00:00:00\n", - "Day 967 of 4936, 2008-07-03 00:00:00\n", - "Day 968 of 4936, 2008-07-04 00:00:00\n", - "Day 969 of 4936, 2008-07-07 00:00:00\n", - "Day 970 of 4936, 2008-07-08 00:00:00\n", - "Day 971 of 4936, 2008-07-09 00:00:00\n", - "Day 972 of 4936, 2008-07-10 00:00:00\n", - "Day 973 of 4936, 2008-07-11 00:00:00\n", - "Day 974 of 4936, 2008-07-14 00:00:00\n", - "Day 975 of 4936, 2008-07-15 00:00:00\n", - "Day 976 of 4936, 2008-07-16 00:00:00\n", - "Day 977 of 4936, 2008-07-17 00:00:00\n", - "Day 978 of 4936, 2008-07-18 00:00:00\n", - "Day 979 of 4936, 2008-07-21 00:00:00\n", - "Day 980 of 4936, 2008-07-22 00:00:00\n", - "Day 981 of 4936, 2008-07-23 00:00:00\n", - "Day 982 of 4936, 2008-07-24 00:00:00\n", - "Day 983 of 4936, 2008-07-25 00:00:00\n", - "Day 984 of 4936, 2008-07-28 00:00:00\n", - "Day 985 of 4936, 2008-07-29 00:00:00\n", - "Day 986 of 4936, 2008-07-30 00:00:00\n", - "Day 987 of 4936, 2008-07-31 00:00:00\n", - "Day 988 of 4936, 2008-08-01 00:00:00\n", - "Day 989 of 4936, 2008-08-04 00:00:00\n", - "Day 990 of 4936, 2008-08-05 00:00:00\n", - "Day 991 of 4936, 2008-08-06 00:00:00\n", - "Day 992 of 4936, 2008-08-07 00:00:00\n", - "Day 993 of 4936, 2008-08-08 00:00:00\n", - "Day 994 of 4936, 2008-08-11 00:00:00\n", - "Day 995 of 4936, 2008-08-12 00:00:00\n", - "Day 996 of 4936, 2008-08-13 00:00:00\n", - "Day 997 of 4936, 2008-08-14 00:00:00\n", - "Day 998 of 4936, 2008-08-15 00:00:00\n", - "Day 999 of 4936, 2008-08-18 00:00:00\n", - "Day 1000 of 4936, 2008-08-19 00:00:00\n", - "Day 1001 of 4936, 2008-08-20 00:00:00\n", - "Day 1002 of 4936, 2008-08-21 00:00:00\n", - "Day 1003 of 4936, 2008-08-22 00:00:00\n", - "Day 1004 of 4936, 2008-08-25 00:00:00\n", - "Day 1005 of 4936, 2008-08-26 00:00:00\n", - "Day 1006 of 4936, 2008-08-27 00:00:00\n", - "Day 1007 of 4936, 2008-08-28 00:00:00\n", - "Day 1008 of 4936, 2008-08-29 00:00:00\n", - "Day 1009 of 4936, 2008-09-01 00:00:00\n", - "Day 1010 of 4936, 2008-09-02 00:00:00\n", - "Day 1011 of 4936, 2008-09-03 00:00:00\n", - "Day 1012 of 4936, 2008-09-04 00:00:00\n", - "Day 1013 of 4936, 2008-09-05 00:00:00\n", - "Day 1014 of 4936, 2008-09-08 00:00:00\n", - "Day 1015 of 4936, 2008-09-09 00:00:00\n", - "Day 1016 of 4936, 2008-09-10 00:00:00\n", - "Day 1017 of 4936, 2008-09-11 00:00:00\n", - "Day 1018 of 4936, 2008-09-12 00:00:00\n", - "Day 1019 of 4936, 2008-09-15 00:00:00\n", - "Day 1020 of 4936, 2008-09-16 00:00:00\n", - "Day 1021 of 4936, 2008-09-17 00:00:00\n", - "Day 1022 of 4936, 2008-09-18 00:00:00\n", - "Day 1023 of 4936, 2008-09-19 00:00:00\n", - "Day 1024 of 4936, 2008-09-22 00:00:00\n", - "Day 1025 of 4936, 2008-09-23 00:00:00\n", - "Day 1026 of 4936, 2008-09-24 00:00:00\n", - "Day 1027 of 4936, 2008-09-25 00:00:00\n", - "Day 1028 of 4936, 2008-09-26 00:00:00\n", - "Day 1029 of 4936, 2008-09-29 00:00:00\n", - "Day 1030 of 4936, 2008-09-30 00:00:00\n", - "Day 1031 of 4936, 2008-10-01 00:00:00\n", - "Day 1032 of 4936, 2008-10-02 00:00:00\n", - "Day 1033 of 4936, 2008-10-03 00:00:00\n", - "Day 1034 of 4936, 2008-10-06 00:00:00\n", - "Day 1035 of 4936, 2008-10-07 00:00:00\n", - "Day 1036 of 4936, 2008-10-08 00:00:00\n", - "Day 1037 of 4936, 2008-10-09 00:00:00\n", - "Day 1038 of 4936, 2008-10-10 00:00:00\n", - "Day 1039 of 4936, 2008-10-13 00:00:00\n", - "Day 1040 of 4936, 2008-10-14 00:00:00\n", - "Day 1041 of 4936, 2008-10-15 00:00:00\n", - "Day 1042 of 4936, 2008-10-16 00:00:00\n", - "Day 1043 of 4936, 2008-10-17 00:00:00\n", - "Day 1044 of 4936, 2008-10-20 00:00:00\n", - "Day 1045 of 4936, 2008-10-21 00:00:00\n", - "Day 1046 of 4936, 2008-10-22 00:00:00\n", - "Day 1047 of 4936, 2008-10-23 00:00:00\n", - "Day 1048 of 4936, 2008-10-24 00:00:00\n", - "Day 1049 of 4936, 2008-10-27 00:00:00\n", - "Day 1050 of 4936, 2008-10-28 00:00:00\n", - "Day 1051 of 4936, 2008-10-29 00:00:00\n", - "Day 1052 of 4936, 2008-10-30 00:00:00\n", - "Day 1053 of 4936, 2008-10-31 00:00:00\n", - "Day 1054 of 4936, 2008-11-03 00:00:00\n", - "Day 1055 of 4936, 2008-11-04 00:00:00\n", - "Day 1056 of 4936, 2008-11-05 00:00:00\n", - "Day 1057 of 4936, 2008-11-06 00:00:00\n", - "Day 1058 of 4936, 2008-11-07 00:00:00\n", - "Day 1059 of 4936, 2008-11-10 00:00:00\n", - "Day 1060 of 4936, 2008-11-11 00:00:00\n", - "Day 1061 of 4936, 2008-11-12 00:00:00\n", - "Day 1062 of 4936, 2008-11-13 00:00:00\n", - "Day 1063 of 4936, 2008-11-14 00:00:00\n", - "Day 1064 of 4936, 2008-11-17 00:00:00\n", - "Day 1065 of 4936, 2008-11-18 00:00:00\n", - "Day 1066 of 4936, 2008-11-19 00:00:00\n", - "Day 1067 of 4936, 2008-11-20 00:00:00\n", - "Day 1068 of 4936, 2008-11-21 00:00:00\n", - "Day 1069 of 4936, 2008-11-24 00:00:00\n", - "Day 1070 of 4936, 2008-11-25 00:00:00\n", - "Day 1071 of 4936, 2008-11-26 00:00:00\n", - "Day 1072 of 4936, 2008-11-27 00:00:00\n", - "Day 1073 of 4936, 2008-11-28 00:00:00\n", - "Day 1074 of 4936, 2008-12-01 00:00:00\n", - "Day 1075 of 4936, 2008-12-02 00:00:00\n", - "Day 1076 of 4936, 2008-12-03 00:00:00\n", - "Day 1077 of 4936, 2008-12-04 00:00:00\n", - "Day 1078 of 4936, 2008-12-05 00:00:00\n", - "Day 1079 of 4936, 2008-12-08 00:00:00\n", - "Day 1080 of 4936, 2008-12-09 00:00:00\n", - "Day 1081 of 4936, 2008-12-10 00:00:00\n", - "Day 1082 of 4936, 2008-12-11 00:00:00\n", - "Day 1083 of 4936, 2008-12-12 00:00:00\n", - "Day 1084 of 4936, 2008-12-15 00:00:00\n", - "Day 1085 of 4936, 2008-12-16 00:00:00\n", - "Day 1086 of 4936, 2008-12-17 00:00:00\n", - "Day 1087 of 4936, 2008-12-18 00:00:00\n", - "Day 1088 of 4936, 2008-12-19 00:00:00\n", - "Day 1089 of 4936, 2008-12-22 00:00:00\n", - "Day 1090 of 4936, 2008-12-23 00:00:00\n", - "Day 1091 of 4936, 2008-12-24 00:00:00\n", - "Day 1092 of 4936, 2008-12-25 00:00:00\n", - "Day 1093 of 4936, 2008-12-26 00:00:00\n", - "Day 1094 of 4936, 2008-12-29 00:00:00\n", - "Day 1095 of 4936, 2008-12-30 00:00:00\n", - "Day 1096 of 4936, 2008-12-31 00:00:00\n", - "Day 1097 of 4936, 2009-01-01 00:00:00\n", - "Day 1098 of 4936, 2009-01-02 00:00:00\n", - "Day 1099 of 4936, 2009-01-05 00:00:00\n", - "Day 1100 of 4936, 2009-01-06 00:00:00\n", - "Day 1101 of 4936, 2009-01-07 00:00:00\n", - "Day 1102 of 4936, 2009-01-08 00:00:00\n", - "Day 1103 of 4936, 2009-01-09 00:00:00\n", - "Day 1104 of 4936, 2009-01-12 00:00:00\n", - "Day 1105 of 4936, 2009-01-13 00:00:00\n", - "Day 1106 of 4936, 2009-01-14 00:00:00\n", - "Day 1107 of 4936, 2009-01-15 00:00:00\n", - "Day 1108 of 4936, 2009-01-16 00:00:00\n", - "Day 1109 of 4936, 2009-01-19 00:00:00\n", - "Day 1110 of 4936, 2009-01-20 00:00:00\n", - "Day 1111 of 4936, 2009-01-21 00:00:00\n", - "Day 1112 of 4936, 2009-01-22 00:00:00\n", - "Day 1113 of 4936, 2009-01-23 00:00:00\n", - "Day 1114 of 4936, 2009-01-26 00:00:00\n", - "Day 1115 of 4936, 2009-01-27 00:00:00\n", - "Day 1116 of 4936, 2009-01-28 00:00:00\n", - "Day 1117 of 4936, 2009-01-29 00:00:00\n", - "Day 1118 of 4936, 2009-01-30 00:00:00\n", - "Day 1119 of 4936, 2009-02-02 00:00:00\n", - "Day 1120 of 4936, 2009-02-03 00:00:00\n", - "Day 1121 of 4936, 2009-02-04 00:00:00\n", - "Day 1122 of 4936, 2009-02-05 00:00:00\n", - "Day 1123 of 4936, 2009-02-06 00:00:00\n", - "Day 1124 of 4936, 2009-02-09 00:00:00\n", - "Day 1125 of 4936, 2009-02-10 00:00:00\n", - "Day 1126 of 4936, 2009-02-11 00:00:00\n", - "Day 1127 of 4936, 2009-02-12 00:00:00\n", - "Day 1128 of 4936, 2009-02-13 00:00:00\n", - "Day 1129 of 4936, 2009-02-16 00:00:00\n", - "Day 1130 of 4936, 2009-02-17 00:00:00\n", - "Day 1131 of 4936, 2009-02-18 00:00:00\n", - "Day 1132 of 4936, 2009-02-19 00:00:00\n", - "Day 1133 of 4936, 2009-02-20 00:00:00\n", - "Day 1134 of 4936, 2009-02-23 00:00:00\n", - "Day 1135 of 4936, 2009-02-24 00:00:00\n", - "Day 1136 of 4936, 2009-02-25 00:00:00\n", - "Day 1137 of 4936, 2009-02-26 00:00:00\n", - "Day 1138 of 4936, 2009-02-27 00:00:00\n", - "Day 1139 of 4936, 2009-03-02 00:00:00\n", - "Day 1140 of 4936, 2009-03-03 00:00:00\n", - "Day 1141 of 4936, 2009-03-04 00:00:00\n", - "Day 1142 of 4936, 2009-03-05 00:00:00\n", - "Day 1143 of 4936, 2009-03-06 00:00:00\n", - "Day 1144 of 4936, 2009-03-09 00:00:00\n", - "Day 1145 of 4936, 2009-03-10 00:00:00\n", - "Day 1146 of 4936, 2009-03-11 00:00:00\n", - "Day 1147 of 4936, 2009-03-12 00:00:00\n", - "Day 1148 of 4936, 2009-03-13 00:00:00\n", - "Day 1149 of 4936, 2009-03-16 00:00:00\n", - "Day 1150 of 4936, 2009-03-17 00:00:00\n", - "Day 1151 of 4936, 2009-03-18 00:00:00\n", - "Day 1152 of 4936, 2009-03-19 00:00:00\n", - "Day 1153 of 4936, 2009-03-20 00:00:00\n", - "Day 1154 of 4936, 2009-03-23 00:00:00\n", - "Day 1155 of 4936, 2009-03-24 00:00:00\n", - "Day 1156 of 4936, 2009-03-25 00:00:00\n", - "Day 1157 of 4936, 2009-03-26 00:00:00\n", - "Day 1158 of 4936, 2009-03-27 00:00:00\n", - "Day 1159 of 4936, 2009-03-30 00:00:00\n", - "Day 1160 of 4936, 2009-03-31 00:00:00\n", - "Day 1161 of 4936, 2009-04-01 00:00:00\n", - "Day 1162 of 4936, 2009-04-02 00:00:00\n", - "Day 1163 of 4936, 2009-04-03 00:00:00\n", - "Day 1164 of 4936, 2009-04-06 00:00:00\n", - "Day 1165 of 4936, 2009-04-07 00:00:00\n", - "Day 1166 of 4936, 2009-04-08 00:00:00\n", - "Day 1167 of 4936, 2009-04-09 00:00:00\n", - "Day 1168 of 4936, 2009-04-10 00:00:00\n", - "Day 1169 of 4936, 2009-04-13 00:00:00\n", - "Day 1170 of 4936, 2009-04-14 00:00:00\n", - "Day 1171 of 4936, 2009-04-15 00:00:00\n", - "Day 1172 of 4936, 2009-04-16 00:00:00\n", - "Day 1173 of 4936, 2009-04-17 00:00:00\n", - "Day 1174 of 4936, 2009-04-20 00:00:00\n", - "Day 1175 of 4936, 2009-04-21 00:00:00\n", - "Day 1176 of 4936, 2009-04-22 00:00:00\n", - "Day 1177 of 4936, 2009-04-23 00:00:00\n", - "Day 1178 of 4936, 2009-04-24 00:00:00\n", - "Day 1179 of 4936, 2009-04-27 00:00:00\n", - "Day 1180 of 4936, 2009-04-28 00:00:00\n", - "Day 1181 of 4936, 2009-04-29 00:00:00\n", - "Day 1182 of 4936, 2009-04-30 00:00:00\n", - "Day 1183 of 4936, 2009-05-01 00:00:00\n", - "Day 1184 of 4936, 2009-05-04 00:00:00\n", - "Day 1185 of 4936, 2009-05-05 00:00:00\n", - "Day 1186 of 4936, 2009-05-06 00:00:00\n", - "Day 1187 of 4936, 2009-05-07 00:00:00\n", - "Day 1188 of 4936, 2009-05-08 00:00:00\n", - "Day 1189 of 4936, 2009-05-11 00:00:00\n", - "Day 1190 of 4936, 2009-05-12 00:00:00\n", - "Day 1191 of 4936, 2009-05-13 00:00:00\n", - "Day 1192 of 4936, 2009-05-14 00:00:00\n", - "Day 1193 of 4936, 2009-05-15 00:00:00\n", - "Day 1194 of 4936, 2009-05-18 00:00:00\n", - "Day 1195 of 4936, 2009-05-19 00:00:00\n", - "Day 1196 of 4936, 2009-05-20 00:00:00\n", - "Day 1197 of 4936, 2009-05-21 00:00:00\n", - "Day 1198 of 4936, 2009-05-22 00:00:00\n", - "Day 1199 of 4936, 2009-05-25 00:00:00\n", - "Day 1200 of 4936, 2009-05-26 00:00:00\n", - "Day 1201 of 4936, 2009-05-27 00:00:00\n", - "Day 1202 of 4936, 2009-05-28 00:00:00\n", - "Day 1203 of 4936, 2009-05-29 00:00:00\n", - "Day 1204 of 4936, 2009-06-01 00:00:00\n", - "Day 1205 of 4936, 2009-06-02 00:00:00\n", - "Day 1206 of 4936, 2009-06-03 00:00:00\n", - "Day 1207 of 4936, 2009-06-04 00:00:00\n", - "Day 1208 of 4936, 2009-06-05 00:00:00\n", - "Day 1209 of 4936, 2009-06-08 00:00:00\n", - "Day 1210 of 4936, 2009-06-09 00:00:00\n", - "Day 1211 of 4936, 2009-06-10 00:00:00\n", - "Day 1212 of 4936, 2009-06-11 00:00:00\n", - "Day 1213 of 4936, 2009-06-12 00:00:00\n", - "Day 1214 of 4936, 2009-06-15 00:00:00\n", - "Day 1215 of 4936, 2009-06-16 00:00:00\n", - "Day 1216 of 4936, 2009-06-17 00:00:00\n", - "Day 1217 of 4936, 2009-06-18 00:00:00\n", - "Day 1218 of 4936, 2009-06-19 00:00:00\n", - "Day 1219 of 4936, 2009-06-22 00:00:00\n", - "Day 1220 of 4936, 2009-06-23 00:00:00\n", - "Day 1221 of 4936, 2009-06-24 00:00:00\n", - "Day 1222 of 4936, 2009-06-25 00:00:00\n", - "Day 1223 of 4936, 2009-06-26 00:00:00\n", - "Day 1224 of 4936, 2009-06-29 00:00:00\n", - "Day 1225 of 4936, 2009-06-30 00:00:00\n", - "Day 1226 of 4936, 2009-07-01 00:00:00\n", - "Day 1227 of 4936, 2009-07-02 00:00:00\n", - "Day 1228 of 4936, 2009-07-03 00:00:00\n", - "Day 1229 of 4936, 2009-07-06 00:00:00\n", - "Day 1230 of 4936, 2009-07-07 00:00:00\n", - "Day 1231 of 4936, 2009-07-08 00:00:00\n", - "Day 1232 of 4936, 2009-07-09 00:00:00\n", - "Day 1233 of 4936, 2009-07-10 00:00:00\n", - "Day 1234 of 4936, 2009-07-13 00:00:00\n", - "Day 1235 of 4936, 2009-07-14 00:00:00\n", - "Day 1236 of 4936, 2009-07-15 00:00:00\n", - "Day 1237 of 4936, 2009-07-16 00:00:00\n", - "Day 1238 of 4936, 2009-07-17 00:00:00\n", - "Day 1239 of 4936, 2009-07-20 00:00:00\n", - "Day 1240 of 4936, 2009-07-21 00:00:00\n", - "Day 1241 of 4936, 2009-07-22 00:00:00\n", - "Day 1242 of 4936, 2009-07-23 00:00:00\n", - "Day 1243 of 4936, 2009-07-24 00:00:00\n", - "Day 1244 of 4936, 2009-07-27 00:00:00\n", - "Day 1245 of 4936, 2009-07-28 00:00:00\n", - "Day 1246 of 4936, 2009-07-29 00:00:00\n", - "Day 1247 of 4936, 2009-07-30 00:00:00\n", - "Day 1248 of 4936, 2009-07-31 00:00:00\n", - "Day 1249 of 4936, 2009-08-03 00:00:00\n", - "Day 1250 of 4936, 2009-08-04 00:00:00\n", - "Day 1251 of 4936, 2009-08-05 00:00:00\n", - "Day 1252 of 4936, 2009-08-06 00:00:00\n", - "Day 1253 of 4936, 2009-08-07 00:00:00\n", - "Day 1254 of 4936, 2009-08-10 00:00:00\n", - "Day 1255 of 4936, 2009-08-11 00:00:00\n", - "Day 1256 of 4936, 2009-08-12 00:00:00\n", - "Day 1257 of 4936, 2009-08-13 00:00:00\n", - "Day 1258 of 4936, 2009-08-14 00:00:00\n", - "Day 1259 of 4936, 2009-08-17 00:00:00\n", - "Day 1260 of 4936, 2009-08-18 00:00:00\n", - "Day 1261 of 4936, 2009-08-19 00:00:00\n", - "Day 1262 of 4936, 2009-08-20 00:00:00\n", - "Day 1263 of 4936, 2009-08-21 00:00:00\n", - "Day 1264 of 4936, 2009-08-24 00:00:00\n", - "Day 1265 of 4936, 2009-08-25 00:00:00\n", - "Day 1266 of 4936, 2009-08-26 00:00:00\n", - "Day 1267 of 4936, 2009-08-27 00:00:00\n", - "Day 1268 of 4936, 2009-08-28 00:00:00\n", - "Day 1269 of 4936, 2009-08-31 00:00:00\n", - "Day 1270 of 4936, 2009-09-01 00:00:00\n", - "Day 1271 of 4936, 2009-09-02 00:00:00\n", - "Day 1272 of 4936, 2009-09-03 00:00:00\n", - "Day 1273 of 4936, 2009-09-04 00:00:00\n", - "Day 1274 of 4936, 2009-09-07 00:00:00\n", - "Day 1275 of 4936, 2009-09-08 00:00:00\n", - "Day 1276 of 4936, 2009-09-09 00:00:00\n", - "Day 1277 of 4936, 2009-09-10 00:00:00\n", - "Day 1278 of 4936, 2009-09-11 00:00:00\n", - "Day 1279 of 4936, 2009-09-14 00:00:00\n", - "Day 1280 of 4936, 2009-09-15 00:00:00\n", - "Day 1281 of 4936, 2009-09-16 00:00:00\n", - "Day 1282 of 4936, 2009-09-17 00:00:00\n", - "Day 1283 of 4936, 2009-09-18 00:00:00\n", - "Day 1284 of 4936, 2009-09-21 00:00:00\n", - "Day 1285 of 4936, 2009-09-22 00:00:00\n", - "Day 1286 of 4936, 2009-09-23 00:00:00\n", - "Day 1287 of 4936, 2009-09-24 00:00:00\n", - "Day 1288 of 4936, 2009-09-25 00:00:00\n", - "Day 1289 of 4936, 2009-09-28 00:00:00\n", - "Day 1290 of 4936, 2009-09-29 00:00:00\n", - "Day 1291 of 4936, 2009-09-30 00:00:00\n", - "Day 1292 of 4936, 2009-10-01 00:00:00\n", - "Day 1293 of 4936, 2009-10-02 00:00:00\n", - "Day 1294 of 4936, 2009-10-05 00:00:00\n", - "Day 1295 of 4936, 2009-10-06 00:00:00\n", - "Day 1296 of 4936, 2009-10-07 00:00:00\n", - "Day 1297 of 4936, 2009-10-08 00:00:00\n", - "Day 1298 of 4936, 2009-10-09 00:00:00\n", - "Day 1299 of 4936, 2009-10-12 00:00:00\n", - "Day 1300 of 4936, 2009-10-13 00:00:00\n", - "Day 1301 of 4936, 2009-10-14 00:00:00\n", - "Day 1302 of 4936, 2009-10-15 00:00:00\n", - "Day 1303 of 4936, 2009-10-16 00:00:00\n", - "Day 1304 of 4936, 2009-10-19 00:00:00\n", - "Day 1305 of 4936, 2009-10-20 00:00:00\n", - "Day 1306 of 4936, 2009-10-21 00:00:00\n", - "Day 1307 of 4936, 2009-10-22 00:00:00\n", - "Day 1308 of 4936, 2009-10-23 00:00:00\n", - "Day 1309 of 4936, 2009-10-26 00:00:00\n", - "Day 1310 of 4936, 2009-10-27 00:00:00\n", - "Day 1311 of 4936, 2009-10-28 00:00:00\n", - "Day 1312 of 4936, 2009-10-29 00:00:00\n", - "Day 1313 of 4936, 2009-10-30 00:00:00\n", - "Day 1314 of 4936, 2009-11-02 00:00:00\n", - "Day 1315 of 4936, 2009-11-03 00:00:00\n", - "Day 1316 of 4936, 2009-11-04 00:00:00\n", - "Day 1317 of 4936, 2009-11-05 00:00:00\n", - "Day 1318 of 4936, 2009-11-06 00:00:00\n", - "Day 1319 of 4936, 2009-11-09 00:00:00\n", - "Day 1320 of 4936, 2009-11-10 00:00:00\n", - "Day 1321 of 4936, 2009-11-11 00:00:00\n", - "Day 1322 of 4936, 2009-11-12 00:00:00\n", - "Day 1323 of 4936, 2009-11-13 00:00:00\n", - "Day 1324 of 4936, 2009-11-16 00:00:00\n", - "Day 1325 of 4936, 2009-11-17 00:00:00\n", - "Day 1326 of 4936, 2009-11-18 00:00:00\n", - "Day 1327 of 4936, 2009-11-19 00:00:00\n", - "Day 1328 of 4936, 2009-11-20 00:00:00\n", - "Day 1329 of 4936, 2009-11-23 00:00:00\n", - "Day 1330 of 4936, 2009-11-24 00:00:00\n", - "Day 1331 of 4936, 2009-11-25 00:00:00\n", - "Day 1332 of 4936, 2009-11-26 00:00:00\n", - "Day 1333 of 4936, 2009-11-27 00:00:00\n", - "Day 1334 of 4936, 2009-11-30 00:00:00\n", - "Day 1335 of 4936, 2009-12-01 00:00:00\n", - "Day 1336 of 4936, 2009-12-02 00:00:00\n", - "Day 1337 of 4936, 2009-12-03 00:00:00\n", - "Day 1338 of 4936, 2009-12-04 00:00:00\n", - "Day 1339 of 4936, 2009-12-07 00:00:00\n", - "Day 1340 of 4936, 2009-12-08 00:00:00\n", - "Day 1341 of 4936, 2009-12-09 00:00:00\n", - "Day 1342 of 4936, 2009-12-10 00:00:00\n", - "Day 1343 of 4936, 2009-12-11 00:00:00\n", - "Day 1344 of 4936, 2009-12-14 00:00:00\n", - "Day 1345 of 4936, 2009-12-15 00:00:00\n", - "Day 1346 of 4936, 2009-12-16 00:00:00\n", - "Day 1347 of 4936, 2009-12-17 00:00:00\n", - "Day 1348 of 4936, 2009-12-18 00:00:00\n", - "Day 1349 of 4936, 2009-12-21 00:00:00\n", - "Day 1350 of 4936, 2009-12-22 00:00:00\n", - "Day 1351 of 4936, 2009-12-23 00:00:00\n", - "Day 1352 of 4936, 2009-12-24 00:00:00\n", - "Day 1353 of 4936, 2009-12-25 00:00:00\n", - "Day 1354 of 4936, 2009-12-28 00:00:00\n", - "Day 1355 of 4936, 2009-12-29 00:00:00\n", - "Day 1356 of 4936, 2009-12-30 00:00:00\n", - "Day 1357 of 4936, 2009-12-31 00:00:00\n", - "Day 1358 of 4936, 2010-01-01 00:00:00\n", - "Day 1359 of 4936, 2010-01-04 00:00:00\n", - "Day 1360 of 4936, 2010-01-05 00:00:00\n", - "Day 1361 of 4936, 2010-01-06 00:00:00\n", - "Day 1362 of 4936, 2010-01-07 00:00:00\n", - "Day 1363 of 4936, 2010-01-08 00:00:00\n", - "Day 1364 of 4936, 2010-01-11 00:00:00\n", - "Day 1365 of 4936, 2010-01-12 00:00:00\n", - "Day 1366 of 4936, 2010-01-13 00:00:00\n", - "Day 1367 of 4936, 2010-01-14 00:00:00\n", - "Day 1368 of 4936, 2010-01-15 00:00:00\n", - "Day 1369 of 4936, 2010-01-18 00:00:00\n", - "Day 1370 of 4936, 2010-01-19 00:00:00\n", - "Day 1371 of 4936, 2010-01-20 00:00:00\n", - "Day 1372 of 4936, 2010-01-21 00:00:00\n", - "Day 1373 of 4936, 2010-01-22 00:00:00\n", - "Day 1374 of 4936, 2010-01-25 00:00:00\n", - "Day 1375 of 4936, 2010-01-26 00:00:00\n", - "Day 1376 of 4936, 2010-01-27 00:00:00\n", - "Day 1377 of 4936, 2010-01-28 00:00:00\n", - "Day 1378 of 4936, 2010-01-29 00:00:00\n", - "Day 1379 of 4936, 2010-02-01 00:00:00\n", - "Day 1380 of 4936, 2010-02-02 00:00:00\n", - "Day 1381 of 4936, 2010-02-03 00:00:00\n", - "Day 1382 of 4936, 2010-02-04 00:00:00\n", - "Day 1383 of 4936, 2010-02-05 00:00:00\n", - "Day 1384 of 4936, 2010-02-08 00:00:00\n", - "Day 1385 of 4936, 2010-02-09 00:00:00\n", - "Day 1386 of 4936, 2010-02-10 00:00:00\n", - "Day 1387 of 4936, 2010-02-11 00:00:00\n", - "Day 1388 of 4936, 2010-02-12 00:00:00\n", - "Day 1389 of 4936, 2010-02-15 00:00:00\n", - "Day 1390 of 4936, 2010-02-16 00:00:00\n", - "Day 1391 of 4936, 2010-02-17 00:00:00\n", - "Day 1392 of 4936, 2010-02-18 00:00:00\n", - "Day 1393 of 4936, 2010-02-19 00:00:00\n", - "Day 1394 of 4936, 2010-02-22 00:00:00\n", - "Day 1395 of 4936, 2010-02-23 00:00:00\n", - "Day 1396 of 4936, 2010-02-24 00:00:00\n", - "Day 1397 of 4936, 2010-02-25 00:00:00\n", - "Day 1398 of 4936, 2010-02-26 00:00:00\n", - "Day 1399 of 4936, 2010-03-01 00:00:00\n", - "Day 1400 of 4936, 2010-03-02 00:00:00\n", - "Day 1401 of 4936, 2010-03-03 00:00:00\n", - "Day 1402 of 4936, 2010-03-04 00:00:00\n", - "Day 1403 of 4936, 2010-03-05 00:00:00\n", - "Day 1404 of 4936, 2010-03-08 00:00:00\n", - "Day 1405 of 4936, 2010-03-09 00:00:00\n", - "Day 1406 of 4936, 2010-03-10 00:00:00\n", - "Day 1407 of 4936, 2010-03-11 00:00:00\n", - "Day 1408 of 4936, 2010-03-12 00:00:00\n", - "Day 1409 of 4936, 2010-03-15 00:00:00\n", - "Day 1410 of 4936, 2010-03-16 00:00:00\n", - "Day 1411 of 4936, 2010-03-17 00:00:00\n", - "Day 1412 of 4936, 2010-03-18 00:00:00\n", - "Day 1413 of 4936, 2010-03-19 00:00:00\n", - "Day 1414 of 4936, 2010-03-22 00:00:00\n", - "Day 1415 of 4936, 2010-03-23 00:00:00\n", - "Day 1416 of 4936, 2010-03-24 00:00:00\n", - "Day 1417 of 4936, 2010-03-25 00:00:00\n", - "Day 1418 of 4936, 2010-03-26 00:00:00\n", - "Day 1419 of 4936, 2010-03-29 00:00:00\n", - "Day 1420 of 4936, 2010-03-30 00:00:00\n", - "Day 1421 of 4936, 2010-03-31 00:00:00\n", - "Day 1422 of 4936, 2010-04-01 00:00:00\n", - "Day 1423 of 4936, 2010-04-02 00:00:00\n", - "Day 1424 of 4936, 2010-04-05 00:00:00\n", - "Day 1425 of 4936, 2010-04-06 00:00:00\n", - "Day 1426 of 4936, 2010-04-07 00:00:00\n", - "Day 1427 of 4936, 2010-04-08 00:00:00\n", - "Day 1428 of 4936, 2010-04-09 00:00:00\n", - "Day 1429 of 4936, 2010-04-12 00:00:00\n", - "Day 1430 of 4936, 2010-04-13 00:00:00\n", - "Day 1431 of 4936, 2010-04-14 00:00:00\n", - "Day 1432 of 4936, 2010-04-15 00:00:00\n", - "Day 1433 of 4936, 2010-04-16 00:00:00\n", - "Day 1434 of 4936, 2010-04-19 00:00:00\n", - "Day 1435 of 4936, 2010-04-20 00:00:00\n", - "Day 1436 of 4936, 2010-04-21 00:00:00\n", - "Day 1437 of 4936, 2010-04-22 00:00:00\n", - "Day 1438 of 4936, 2010-04-23 00:00:00\n", - "Day 1439 of 4936, 2010-04-26 00:00:00\n", - "Day 1440 of 4936, 2010-04-27 00:00:00\n", - "Day 1441 of 4936, 2010-04-28 00:00:00\n", - "Day 1442 of 4936, 2010-04-29 00:00:00\n", - "Day 1443 of 4936, 2010-04-30 00:00:00\n", - "Day 1444 of 4936, 2010-05-03 00:00:00\n", - "Day 1445 of 4936, 2010-05-04 00:00:00\n", - "Day 1446 of 4936, 2010-05-05 00:00:00\n", - "Day 1447 of 4936, 2010-05-06 00:00:00\n", - "Day 1448 of 4936, 2010-05-07 00:00:00\n", - "Day 1449 of 4936, 2010-05-10 00:00:00\n", - "Day 1450 of 4936, 2010-05-11 00:00:00\n", - "Day 1451 of 4936, 2010-05-12 00:00:00\n", - "Day 1452 of 4936, 2010-05-13 00:00:00\n", - "Day 1453 of 4936, 2010-05-14 00:00:00\n", - "Day 1454 of 4936, 2010-05-17 00:00:00\n", - "Day 1455 of 4936, 2010-05-18 00:00:00\n", - "Day 1456 of 4936, 2010-05-19 00:00:00\n", - "Day 1457 of 4936, 2010-05-20 00:00:00\n", - "Day 1458 of 4936, 2010-05-21 00:00:00\n", - "Day 1459 of 4936, 2010-05-24 00:00:00\n", - "Day 1460 of 4936, 2010-05-25 00:00:00\n", - "Day 1461 of 4936, 2010-05-26 00:00:00\n", - "Day 1462 of 4936, 2010-05-27 00:00:00\n", - "Day 1463 of 4936, 2010-05-28 00:00:00\n", - "Day 1464 of 4936, 2010-05-31 00:00:00\n", - "Day 1465 of 4936, 2010-06-01 00:00:00\n", - "Day 1466 of 4936, 2010-06-02 00:00:00\n", - "Day 1467 of 4936, 2010-06-03 00:00:00\n", - "Day 1468 of 4936, 2010-06-04 00:00:00\n", - "Day 1469 of 4936, 2010-06-07 00:00:00\n", - "Day 1470 of 4936, 2010-06-08 00:00:00\n", - "Day 1471 of 4936, 2010-06-09 00:00:00\n", - "Day 1472 of 4936, 2010-06-10 00:00:00\n", - "Day 1473 of 4936, 2010-06-11 00:00:00\n", - "Day 1474 of 4936, 2010-06-14 00:00:00\n", - "Day 1475 of 4936, 2010-06-15 00:00:00\n", - "Day 1476 of 4936, 2010-06-16 00:00:00\n", - "Day 1477 of 4936, 2010-06-17 00:00:00\n", - "Day 1478 of 4936, 2010-06-18 00:00:00\n", - "Day 1479 of 4936, 2010-06-21 00:00:00\n", - "Day 1480 of 4936, 2010-06-22 00:00:00\n", - "Day 1481 of 4936, 2010-06-23 00:00:00\n", - "Day 1482 of 4936, 2010-06-24 00:00:00\n", - "Day 1483 of 4936, 2010-06-25 00:00:00\n", - "Day 1484 of 4936, 2010-06-28 00:00:00\n", - "Day 1485 of 4936, 2010-06-29 00:00:00\n", - "Day 1486 of 4936, 2010-06-30 00:00:00\n", - "Day 1487 of 4936, 2010-07-01 00:00:00\n", - "Day 1488 of 4936, 2010-07-02 00:00:00\n", - "Day 1489 of 4936, 2010-07-05 00:00:00\n", - "Day 1490 of 4936, 2010-07-06 00:00:00\n", - "Day 1491 of 4936, 2010-07-07 00:00:00\n", - "Day 1492 of 4936, 2010-07-08 00:00:00\n", - "Day 1493 of 4936, 2010-07-09 00:00:00\n", - "Day 1494 of 4936, 2010-07-12 00:00:00\n", - "Day 1495 of 4936, 2010-07-13 00:00:00\n", - "Day 1496 of 4936, 2010-07-14 00:00:00\n", - "Day 1497 of 4936, 2010-07-15 00:00:00\n", - "Day 1498 of 4936, 2010-07-16 00:00:00\n", - "Day 1499 of 4936, 2010-07-19 00:00:00\n", - "Day 1500 of 4936, 2010-07-20 00:00:00\n", - "Day 1501 of 4936, 2010-07-21 00:00:00\n", - "Day 1502 of 4936, 2010-07-22 00:00:00\n", - "Day 1503 of 4936, 2010-07-23 00:00:00\n", - "Day 1504 of 4936, 2010-07-26 00:00:00\n", - "Day 1505 of 4936, 2010-07-27 00:00:00\n", - "Day 1506 of 4936, 2010-07-28 00:00:00\n", - "Day 1507 of 4936, 2010-07-29 00:00:00\n", - "Day 1508 of 4936, 2010-07-30 00:00:00\n", - "Day 1509 of 4936, 2010-08-02 00:00:00\n", - "Day 1510 of 4936, 2010-08-03 00:00:00\n", - "Day 1511 of 4936, 2010-08-04 00:00:00\n", - "Day 1512 of 4936, 2010-08-05 00:00:00\n", - "Day 1513 of 4936, 2010-08-06 00:00:00\n", - "Day 1514 of 4936, 2010-08-09 00:00:00\n", - "Day 1515 of 4936, 2010-08-10 00:00:00\n", - "Day 1516 of 4936, 2010-08-11 00:00:00\n", - "Day 1517 of 4936, 2010-08-12 00:00:00\n", - "Day 1518 of 4936, 2010-08-13 00:00:00\n", - "Day 1519 of 4936, 2010-08-16 00:00:00\n", - "Day 1520 of 4936, 2010-08-17 00:00:00\n", - "Day 1521 of 4936, 2010-08-18 00:00:00\n", - "Day 1522 of 4936, 2010-08-19 00:00:00\n", - "Day 1523 of 4936, 2010-08-20 00:00:00\n", - "Day 1524 of 4936, 2010-08-23 00:00:00\n", - "Day 1525 of 4936, 2010-08-24 00:00:00\n", - "Day 1526 of 4936, 2010-08-25 00:00:00\n", - "Day 1527 of 4936, 2010-08-26 00:00:00\n", - "Day 1528 of 4936, 2010-08-27 00:00:00\n", - "Day 1529 of 4936, 2010-08-30 00:00:00\n", - "Day 1530 of 4936, 2010-08-31 00:00:00\n", - "Day 1531 of 4936, 2010-09-01 00:00:00\n", - "Day 1532 of 4936, 2010-09-02 00:00:00\n", - "Day 1533 of 4936, 2010-09-03 00:00:00\n", - "Day 1534 of 4936, 2010-09-06 00:00:00\n", - "Day 1535 of 4936, 2010-09-07 00:00:00\n", - "Day 1536 of 4936, 2010-09-08 00:00:00\n", - "Day 1537 of 4936, 2010-09-09 00:00:00\n", - "Day 1538 of 4936, 2010-09-10 00:00:00\n", - "Day 1539 of 4936, 2010-09-13 00:00:00\n", - "Day 1540 of 4936, 2010-09-14 00:00:00\n", - "Day 1541 of 4936, 2010-09-15 00:00:00\n", - "Day 1542 of 4936, 2010-09-16 00:00:00\n", - "Day 1543 of 4936, 2010-09-17 00:00:00\n", - "Day 1544 of 4936, 2010-09-20 00:00:00\n", - "Day 1545 of 4936, 2010-09-21 00:00:00\n", - "Day 1546 of 4936, 2010-09-22 00:00:00\n", - "Day 1547 of 4936, 2010-09-23 00:00:00\n", - "Day 1548 of 4936, 2010-09-24 00:00:00\n", - "Day 1549 of 4936, 2010-09-27 00:00:00\n", - "Day 1550 of 4936, 2010-09-28 00:00:00\n", - "Day 1551 of 4936, 2010-09-29 00:00:00\n", - "Day 1552 of 4936, 2010-09-30 00:00:00\n", - "Day 1553 of 4936, 2010-10-01 00:00:00\n", - "Day 1554 of 4936, 2010-10-04 00:00:00\n", - "Day 1555 of 4936, 2010-10-05 00:00:00\n", - "Day 1556 of 4936, 2010-10-06 00:00:00\n", - "Day 1557 of 4936, 2010-10-07 00:00:00\n", - "Day 1558 of 4936, 2010-10-08 00:00:00\n", - "Day 1559 of 4936, 2010-10-11 00:00:00\n", - "Day 1560 of 4936, 2010-10-12 00:00:00\n", - "Day 1561 of 4936, 2010-10-13 00:00:00\n", - "Day 1562 of 4936, 2010-10-14 00:00:00\n", - "Day 1563 of 4936, 2010-10-15 00:00:00\n", - "Day 1564 of 4936, 2010-10-18 00:00:00\n", - "Day 1565 of 4936, 2010-10-19 00:00:00\n", - "Day 1566 of 4936, 2010-10-20 00:00:00\n", - "Day 1567 of 4936, 2010-10-21 00:00:00\n", - "Day 1568 of 4936, 2010-10-22 00:00:00\n", - "Day 1569 of 4936, 2010-10-25 00:00:00\n", - "Day 1570 of 4936, 2010-10-26 00:00:00\n", - "Day 1571 of 4936, 2010-10-27 00:00:00\n", - "Day 1572 of 4936, 2010-10-28 00:00:00\n", - "Day 1573 of 4936, 2010-10-29 00:00:00\n", - "Day 1574 of 4936, 2010-11-01 00:00:00\n", - "Day 1575 of 4936, 2010-11-02 00:00:00\n", - "Day 1576 of 4936, 2010-11-03 00:00:00\n", - "Day 1577 of 4936, 2010-11-04 00:00:00\n", - "Day 1578 of 4936, 2010-11-05 00:00:00\n", - "Day 1579 of 4936, 2010-11-08 00:00:00\n", - "Day 1580 of 4936, 2010-11-09 00:00:00\n", - "Day 1581 of 4936, 2010-11-10 00:00:00\n", - "Day 1582 of 4936, 2010-11-11 00:00:00\n", - "Day 1583 of 4936, 2010-11-12 00:00:00\n", - "Day 1584 of 4936, 2010-11-15 00:00:00\n", - "Day 1585 of 4936, 2010-11-16 00:00:00\n", - "Day 1586 of 4936, 2010-11-17 00:00:00\n", - "Day 1587 of 4936, 2010-11-18 00:00:00\n", - "Day 1588 of 4936, 2010-11-19 00:00:00\n", - "Day 1589 of 4936, 2010-11-22 00:00:00\n", - "Day 1590 of 4936, 2010-11-23 00:00:00\n", - "Day 1591 of 4936, 2010-11-24 00:00:00\n", - "Day 1592 of 4936, 2010-11-25 00:00:00\n", - "Day 1593 of 4936, 2010-11-26 00:00:00\n", - "Day 1594 of 4936, 2010-11-29 00:00:00\n", - "Day 1595 of 4936, 2010-11-30 00:00:00\n", - "Day 1596 of 4936, 2010-12-01 00:00:00\n", - "Day 1597 of 4936, 2010-12-02 00:00:00\n", - "Day 1598 of 4936, 2010-12-03 00:00:00\n", - "Day 1599 of 4936, 2010-12-06 00:00:00\n", - "Day 1600 of 4936, 2010-12-07 00:00:00\n", - "Day 1601 of 4936, 2010-12-08 00:00:00\n", - "Day 1602 of 4936, 2010-12-09 00:00:00\n", - "Day 1603 of 4936, 2010-12-10 00:00:00\n", - "Day 1604 of 4936, 2010-12-13 00:00:00\n", - "Day 1605 of 4936, 2010-12-14 00:00:00\n", - "Day 1606 of 4936, 2010-12-15 00:00:00\n", - "Day 1607 of 4936, 2010-12-16 00:00:00\n", - "Day 1608 of 4936, 2010-12-17 00:00:00\n", - "Day 1609 of 4936, 2010-12-20 00:00:00\n", - "Day 1610 of 4936, 2010-12-21 00:00:00\n", - "Day 1611 of 4936, 2010-12-22 00:00:00\n", - "Day 1612 of 4936, 2010-12-23 00:00:00\n", - "Day 1613 of 4936, 2010-12-24 00:00:00\n", - "Day 1614 of 4936, 2010-12-27 00:00:00\n", - "Day 1615 of 4936, 2010-12-28 00:00:00\n", - "Day 1616 of 4936, 2010-12-29 00:00:00\n", - "Day 1617 of 4936, 2010-12-30 00:00:00\n", - "Day 1618 of 4936, 2010-12-31 00:00:00\n", - "Day 1619 of 4936, 2011-01-03 00:00:00\n", - "Day 1620 of 4936, 2011-01-04 00:00:00\n", - "Day 1621 of 4936, 2011-01-05 00:00:00\n", - "Day 1622 of 4936, 2011-01-06 00:00:00\n", - "Day 1623 of 4936, 2011-01-07 00:00:00\n", - "Day 1624 of 4936, 2011-01-10 00:00:00\n", - "Day 1625 of 4936, 2011-01-11 00:00:00\n", - "Day 1626 of 4936, 2011-01-12 00:00:00\n", - "Day 1627 of 4936, 2011-01-13 00:00:00\n", - "Day 1628 of 4936, 2011-01-14 00:00:00\n", - "Day 1629 of 4936, 2011-01-17 00:00:00\n", - "Day 1630 of 4936, 2011-01-18 00:00:00\n", - "Day 1631 of 4936, 2011-01-19 00:00:00\n", - "Day 1632 of 4936, 2011-01-20 00:00:00\n", - "Day 1633 of 4936, 2011-01-21 00:00:00\n", - "Day 1634 of 4936, 2011-01-24 00:00:00\n", - "Day 1635 of 4936, 2011-01-25 00:00:00\n", - "Day 1636 of 4936, 2011-01-26 00:00:00\n", - "Day 1637 of 4936, 2011-01-27 00:00:00\n", - "Day 1638 of 4936, 2011-01-28 00:00:00\n", - "Day 1639 of 4936, 2011-01-31 00:00:00\n", - "Day 1640 of 4936, 2011-02-01 00:00:00\n", - "Day 1641 of 4936, 2011-02-02 00:00:00\n", - "Day 1642 of 4936, 2011-02-03 00:00:00\n", - "Day 1643 of 4936, 2011-02-04 00:00:00\n", - "Day 1644 of 4936, 2011-02-07 00:00:00\n", - "Day 1645 of 4936, 2011-02-08 00:00:00\n", - "Day 1646 of 4936, 2011-02-09 00:00:00\n", - "Day 1647 of 4936, 2011-02-10 00:00:00\n", - "Day 1648 of 4936, 2011-02-11 00:00:00\n", - "Day 1649 of 4936, 2011-02-14 00:00:00\n", - "Day 1650 of 4936, 2011-02-15 00:00:00\n", - "Day 1651 of 4936, 2011-02-16 00:00:00\n", - "Day 1652 of 4936, 2011-02-17 00:00:00\n", - "Day 1653 of 4936, 2011-02-18 00:00:00\n", - "Day 1654 of 4936, 2011-02-21 00:00:00\n", - "Day 1655 of 4936, 2011-02-22 00:00:00\n", - "Day 1656 of 4936, 2011-02-23 00:00:00\n", - "Day 1657 of 4936, 2011-02-24 00:00:00\n", - "Day 1658 of 4936, 2011-02-25 00:00:00\n", - "Day 1659 of 4936, 2011-02-28 00:00:00\n", - "Day 1660 of 4936, 2011-03-01 00:00:00\n", - "Day 1661 of 4936, 2011-03-02 00:00:00\n", - "Day 1662 of 4936, 2011-03-03 00:00:00\n", - "Day 1663 of 4936, 2011-03-04 00:00:00\n", - "Day 1664 of 4936, 2011-03-07 00:00:00\n", - "Day 1665 of 4936, 2011-03-08 00:00:00\n", - "Day 1666 of 4936, 2011-03-09 00:00:00\n", - "Day 1667 of 4936, 2011-03-10 00:00:00\n", - "Day 1668 of 4936, 2011-03-11 00:00:00\n", - "Day 1669 of 4936, 2011-03-14 00:00:00\n", - "Day 1670 of 4936, 2011-03-15 00:00:00\n", - "Day 1671 of 4936, 2011-03-16 00:00:00\n", - "Day 1672 of 4936, 2011-03-17 00:00:00\n", - "Day 1673 of 4936, 2011-03-18 00:00:00\n", - "Day 1674 of 4936, 2011-03-21 00:00:00\n", - "Day 1675 of 4936, 2011-03-22 00:00:00\n", - "Day 1676 of 4936, 2011-03-23 00:00:00\n", - "Day 1677 of 4936, 2011-03-24 00:00:00\n", - "Day 1678 of 4936, 2011-03-25 00:00:00\n", - "Day 1679 of 4936, 2011-03-28 00:00:00\n", - "Day 1680 of 4936, 2011-03-29 00:00:00\n", - "Day 1681 of 4936, 2011-03-30 00:00:00\n", - "Day 1682 of 4936, 2011-03-31 00:00:00\n", - "Day 1683 of 4936, 2011-04-01 00:00:00\n", - "Day 1684 of 4936, 2011-04-04 00:00:00\n", - "Day 1685 of 4936, 2011-04-05 00:00:00\n", - "Day 1686 of 4936, 2011-04-06 00:00:00\n", - "Day 1687 of 4936, 2011-04-07 00:00:00\n", - "Day 1688 of 4936, 2011-04-08 00:00:00\n", - "Day 1689 of 4936, 2011-04-11 00:00:00\n", - "Day 1690 of 4936, 2011-04-12 00:00:00\n", - "Day 1691 of 4936, 2011-04-13 00:00:00\n", - "Day 1692 of 4936, 2011-04-14 00:00:00\n", - "Day 1693 of 4936, 2011-04-15 00:00:00\n", - "Day 1694 of 4936, 2011-04-18 00:00:00\n", - "Day 1695 of 4936, 2011-04-19 00:00:00\n", - "Day 1696 of 4936, 2011-04-20 00:00:00\n", - "Day 1697 of 4936, 2011-04-21 00:00:00\n", - "Day 1698 of 4936, 2011-04-22 00:00:00\n", - "Day 1699 of 4936, 2011-04-25 00:00:00\n", - "Day 1700 of 4936, 2011-04-26 00:00:00\n", - "Day 1701 of 4936, 2011-04-27 00:00:00\n", - "Day 1702 of 4936, 2011-04-28 00:00:00\n", - "Day 1703 of 4936, 2011-04-29 00:00:00\n", - "Day 1704 of 4936, 2011-05-02 00:00:00\n", - "Day 1705 of 4936, 2011-05-03 00:00:00\n", - "Day 1706 of 4936, 2011-05-04 00:00:00\n", - "Day 1707 of 4936, 2011-05-05 00:00:00\n", - "Day 1708 of 4936, 2011-05-06 00:00:00\n", - "Day 1709 of 4936, 2011-05-09 00:00:00\n", - "Day 1710 of 4936, 2011-05-10 00:00:00\n", - "Day 1711 of 4936, 2011-05-11 00:00:00\n", - "Day 1712 of 4936, 2011-05-12 00:00:00\n", - "Day 1713 of 4936, 2011-05-13 00:00:00\n", - "Day 1714 of 4936, 2011-05-16 00:00:00\n", - "Day 1715 of 4936, 2011-05-17 00:00:00\n", - "Day 1716 of 4936, 2011-05-18 00:00:00\n", - "Day 1717 of 4936, 2011-05-19 00:00:00\n", - "Day 1718 of 4936, 2011-05-20 00:00:00\n", - "Day 1719 of 4936, 2011-05-23 00:00:00\n", - "Day 1720 of 4936, 2011-05-24 00:00:00\n", - "Day 1721 of 4936, 2011-05-25 00:00:00\n", - "Day 1722 of 4936, 2011-05-26 00:00:00\n", - "Day 1723 of 4936, 2011-05-27 00:00:00\n", - "Day 1724 of 4936, 2011-05-30 00:00:00\n", - "Day 1725 of 4936, 2011-05-31 00:00:00\n", - "Day 1726 of 4936, 2011-06-01 00:00:00\n", - "Day 1727 of 4936, 2011-06-02 00:00:00\n", - "Day 1728 of 4936, 2011-06-03 00:00:00\n", - "Day 1729 of 4936, 2011-06-06 00:00:00\n", - "Day 1730 of 4936, 2011-06-07 00:00:00\n", - "Day 1731 of 4936, 2011-06-08 00:00:00\n", - "Day 1732 of 4936, 2011-06-09 00:00:00\n", - "Day 1733 of 4936, 2011-06-10 00:00:00\n", - "Day 1734 of 4936, 2011-06-13 00:00:00\n", - "Day 1735 of 4936, 2011-06-14 00:00:00\n", - "Day 1736 of 4936, 2011-06-15 00:00:00\n", - "Day 1737 of 4936, 2011-06-16 00:00:00\n", - "Day 1738 of 4936, 2011-06-17 00:00:00\n", - "Day 1739 of 4936, 2011-06-20 00:00:00\n", - "Day 1740 of 4936, 2011-06-21 00:00:00\n", - "Day 1741 of 4936, 2011-06-22 00:00:00\n", - "Day 1742 of 4936, 2011-06-23 00:00:00\n", - "Day 1743 of 4936, 2011-06-24 00:00:00\n", - "Day 1744 of 4936, 2011-06-27 00:00:00\n", - "Day 1745 of 4936, 2011-06-28 00:00:00\n", - "Day 1746 of 4936, 2011-06-29 00:00:00\n", - "Day 1747 of 4936, 2011-06-30 00:00:00\n", - "Day 1748 of 4936, 2011-07-01 00:00:00\n", - "Day 1749 of 4936, 2011-07-04 00:00:00\n", - "Day 1750 of 4936, 2011-07-05 00:00:00\n", - "Day 1751 of 4936, 2011-07-06 00:00:00\n", - "Day 1752 of 4936, 2011-07-07 00:00:00\n", - "Day 1753 of 4936, 2011-07-08 00:00:00\n", - "Day 1754 of 4936, 2011-07-11 00:00:00\n", - "Day 1755 of 4936, 2011-07-12 00:00:00\n", - "Day 1756 of 4936, 2011-07-13 00:00:00\n", - "Day 1757 of 4936, 2011-07-14 00:00:00\n", - "Day 1758 of 4936, 2011-07-15 00:00:00\n", - "Day 1759 of 4936, 2011-07-18 00:00:00\n", - "Day 1760 of 4936, 2011-07-19 00:00:00\n", - "Day 1761 of 4936, 2011-07-20 00:00:00\n", - "Day 1762 of 4936, 2011-07-21 00:00:00\n", - "Day 1763 of 4936, 2011-07-22 00:00:00\n", - "Day 1764 of 4936, 2011-07-25 00:00:00\n", - "Day 1765 of 4936, 2011-07-26 00:00:00\n", - "Day 1766 of 4936, 2011-07-27 00:00:00\n", - "Day 1767 of 4936, 2011-07-28 00:00:00\n", - "Day 1768 of 4936, 2011-07-29 00:00:00\n", - "Day 1769 of 4936, 2011-08-01 00:00:00\n", - "Day 1770 of 4936, 2011-08-02 00:00:00\n", - "Day 1771 of 4936, 2011-08-03 00:00:00\n", - "Day 1772 of 4936, 2011-08-04 00:00:00\n", - "Day 1773 of 4936, 2011-08-05 00:00:00\n", - "Day 1774 of 4936, 2011-08-08 00:00:00\n", - "Day 1775 of 4936, 2011-08-09 00:00:00\n", - "Day 1776 of 4936, 2011-08-10 00:00:00\n", - "Day 1777 of 4936, 2011-08-11 00:00:00\n", - "Day 1778 of 4936, 2011-08-12 00:00:00\n", - "Day 1779 of 4936, 2011-08-15 00:00:00\n", - "Day 1780 of 4936, 2011-08-16 00:00:00\n", - "Day 1781 of 4936, 2011-08-17 00:00:00\n", - "Day 1782 of 4936, 2011-08-18 00:00:00\n", - "Day 1783 of 4936, 2011-08-19 00:00:00\n", - "Day 1784 of 4936, 2011-08-22 00:00:00\n", - "Day 1785 of 4936, 2011-08-23 00:00:00\n", - "Day 1786 of 4936, 2011-08-24 00:00:00\n", - "Day 1787 of 4936, 2011-08-25 00:00:00\n", - "Day 1788 of 4936, 2011-08-26 00:00:00\n", - "Day 1789 of 4936, 2011-08-29 00:00:00\n", - "Day 1790 of 4936, 2011-08-30 00:00:00\n", - "Day 1791 of 4936, 2011-08-31 00:00:00\n", - "Day 1792 of 4936, 2011-09-01 00:00:00\n", - "Day 1793 of 4936, 2011-09-02 00:00:00\n", - "Day 1794 of 4936, 2011-09-05 00:00:00\n", - "Day 1795 of 4936, 2011-09-06 00:00:00\n", - "Day 1796 of 4936, 2011-09-07 00:00:00\n", - "Day 1797 of 4936, 2011-09-08 00:00:00\n", - "Day 1798 of 4936, 2011-09-09 00:00:00\n", - "Day 1799 of 4936, 2011-09-12 00:00:00\n", - "Day 1800 of 4936, 2011-09-13 00:00:00\n", - "Day 1801 of 4936, 2011-09-14 00:00:00\n", - "Day 1802 of 4936, 2011-09-15 00:00:00\n", - "Day 1803 of 4936, 2011-09-16 00:00:00\n", - "Day 1804 of 4936, 2011-09-19 00:00:00\n", - "Day 1805 of 4936, 2011-09-20 00:00:00\n", - "Day 1806 of 4936, 2011-09-21 00:00:00\n", - "Day 1807 of 4936, 2011-09-22 00:00:00\n", - "Day 1808 of 4936, 2011-09-23 00:00:00\n", - "Day 1809 of 4936, 2011-09-26 00:00:00\n", - "Day 1810 of 4936, 2011-09-27 00:00:00\n", - "Day 1811 of 4936, 2011-09-28 00:00:00\n", - "Day 1812 of 4936, 2011-09-29 00:00:00\n", - "Day 1813 of 4936, 2011-09-30 00:00:00\n", - "Day 1814 of 4936, 2011-10-03 00:00:00\n", - "Day 1815 of 4936, 2011-10-04 00:00:00\n", - "Day 1816 of 4936, 2011-10-05 00:00:00\n", - "Day 1817 of 4936, 2011-10-06 00:00:00\n", - "Day 1818 of 4936, 2011-10-07 00:00:00\n", - "Day 1819 of 4936, 2011-10-10 00:00:00\n", - "Day 1820 of 4936, 2011-10-11 00:00:00\n", - "Day 1821 of 4936, 2011-10-12 00:00:00\n", - "Day 1822 of 4936, 2011-10-13 00:00:00\n", - "Day 1823 of 4936, 2011-10-14 00:00:00\n", - "Day 1824 of 4936, 2011-10-17 00:00:00\n", - "Day 1825 of 4936, 2011-10-18 00:00:00\n", - "Day 1826 of 4936, 2011-10-19 00:00:00\n", - "Day 1827 of 4936, 2011-10-20 00:00:00\n", - "Day 1828 of 4936, 2011-10-21 00:00:00\n", - "Day 1829 of 4936, 2011-10-24 00:00:00\n", - "Day 1830 of 4936, 2011-10-25 00:00:00\n", - "Day 1831 of 4936, 2011-10-26 00:00:00\n", - "Day 1832 of 4936, 2011-10-27 00:00:00\n", - "Day 1833 of 4936, 2011-10-28 00:00:00\n", - "Day 1834 of 4936, 2011-10-31 00:00:00\n", - "Day 1835 of 4936, 2011-11-01 00:00:00\n", - "Day 1836 of 4936, 2011-11-02 00:00:00\n", - "Day 1837 of 4936, 2011-11-03 00:00:00\n", - "Day 1838 of 4936, 2011-11-04 00:00:00\n", - "Day 1839 of 4936, 2011-11-07 00:00:00\n", - "Day 1840 of 4936, 2011-11-08 00:00:00\n", - "Day 1841 of 4936, 2011-11-09 00:00:00\n", - "Day 1842 of 4936, 2011-11-10 00:00:00\n", - "Day 1843 of 4936, 2011-11-11 00:00:00\n", - "Day 1844 of 4936, 2011-11-14 00:00:00\n", - "Day 1845 of 4936, 2011-11-15 00:00:00\n", - "Day 1846 of 4936, 2011-11-16 00:00:00\n", - "Day 1847 of 4936, 2011-11-17 00:00:00\n", - "Day 1848 of 4936, 2011-11-18 00:00:00\n", - "Day 1849 of 4936, 2011-11-21 00:00:00\n", - "Day 1850 of 4936, 2011-11-22 00:00:00\n", - "Day 1851 of 4936, 2011-11-23 00:00:00\n", - "Day 1852 of 4936, 2011-11-24 00:00:00\n", - "Day 1853 of 4936, 2011-11-25 00:00:00\n", - "Day 1854 of 4936, 2011-11-28 00:00:00\n", - "Day 1855 of 4936, 2011-11-29 00:00:00\n", - "Day 1856 of 4936, 2011-11-30 00:00:00\n", - "Day 1857 of 4936, 2011-12-01 00:00:00\n", - "Day 1858 of 4936, 2011-12-02 00:00:00\n", - "Day 1859 of 4936, 2011-12-05 00:00:00\n", - "Day 1860 of 4936, 2011-12-06 00:00:00\n", - "Day 1861 of 4936, 2011-12-07 00:00:00\n", - "Day 1862 of 4936, 2011-12-08 00:00:00\n", - "Day 1863 of 4936, 2011-12-09 00:00:00\n", - "Day 1864 of 4936, 2011-12-12 00:00:00\n", - "Day 1865 of 4936, 2011-12-13 00:00:00\n", - "Day 1866 of 4936, 2011-12-14 00:00:00\n", - "Day 1867 of 4936, 2011-12-15 00:00:00\n", - "Day 1868 of 4936, 2011-12-16 00:00:00\n", - "Day 1869 of 4936, 2011-12-19 00:00:00\n", - "Day 1870 of 4936, 2011-12-20 00:00:00\n", - "Day 1871 of 4936, 2011-12-21 00:00:00\n", - "Day 1872 of 4936, 2011-12-22 00:00:00\n", - "Day 1873 of 4936, 2011-12-23 00:00:00\n", - "Day 1874 of 4936, 2011-12-26 00:00:00\n", - "Day 1875 of 4936, 2011-12-27 00:00:00\n", - "Day 1876 of 4936, 2011-12-28 00:00:00\n", - "Day 1877 of 4936, 2011-12-29 00:00:00\n", - "Day 1878 of 4936, 2011-12-30 00:00:00\n", - "Day 1879 of 4936, 2012-01-02 00:00:00\n", - "Day 1880 of 4936, 2012-01-03 00:00:00\n", - "Day 1881 of 4936, 2012-01-04 00:00:00\n", - "Day 1882 of 4936, 2012-01-05 00:00:00\n", - "Day 1883 of 4936, 2012-01-06 00:00:00\n", - "Day 1884 of 4936, 2012-01-09 00:00:00\n", - "Day 1885 of 4936, 2012-01-10 00:00:00\n", - "Day 1886 of 4936, 2012-01-11 00:00:00\n", - "Day 1887 of 4936, 2012-01-12 00:00:00\n", - "Day 1888 of 4936, 2012-01-13 00:00:00\n", - "Day 1889 of 4936, 2012-01-16 00:00:00\n", - "Day 1890 of 4936, 2012-01-17 00:00:00\n", - "Day 1891 of 4936, 2012-01-18 00:00:00\n", - "Day 1892 of 4936, 2012-01-19 00:00:00\n", - "Day 1893 of 4936, 2012-01-20 00:00:00\n", - "Day 1894 of 4936, 2012-01-23 00:00:00\n", - "Day 1895 of 4936, 2012-01-24 00:00:00\n", - "Day 1896 of 4936, 2012-01-25 00:00:00\n", - "Day 1897 of 4936, 2012-01-26 00:00:00\n", - "Day 1898 of 4936, 2012-01-27 00:00:00\n", - "Day 1899 of 4936, 2012-01-30 00:00:00\n", - "Day 1900 of 4936, 2012-01-31 00:00:00\n", - "Day 1901 of 4936, 2012-02-01 00:00:00\n", - "Day 1902 of 4936, 2012-02-02 00:00:00\n", - "Day 1903 of 4936, 2012-02-03 00:00:00\n", - "Day 1904 of 4936, 2012-02-06 00:00:00\n", - "Day 1905 of 4936, 2012-02-07 00:00:00\n", - "Day 1906 of 4936, 2012-02-08 00:00:00\n", - "Day 1907 of 4936, 2012-02-09 00:00:00\n", - "Day 1908 of 4936, 2012-02-10 00:00:00\n", - "Day 1909 of 4936, 2012-02-13 00:00:00\n", - "Day 1910 of 4936, 2012-02-14 00:00:00\n", - "Day 1911 of 4936, 2012-02-15 00:00:00\n", - "Day 1912 of 4936, 2012-02-16 00:00:00\n", - "Day 1913 of 4936, 2012-02-17 00:00:00\n", - "Day 1914 of 4936, 2012-02-20 00:00:00\n", - "Day 1915 of 4936, 2012-02-21 00:00:00\n", - "Day 1916 of 4936, 2012-02-22 00:00:00\n", - "Day 1917 of 4936, 2012-02-23 00:00:00\n", - "Day 1918 of 4936, 2012-02-24 00:00:00\n", - "Day 1919 of 4936, 2012-02-27 00:00:00\n", - "Day 1920 of 4936, 2012-02-28 00:00:00\n", - "Day 1921 of 4936, 2012-02-29 00:00:00\n", - "Day 1922 of 4936, 2012-03-01 00:00:00\n", - "Day 1923 of 4936, 2012-03-02 00:00:00\n", - "Day 1924 of 4936, 2012-03-05 00:00:00\n", - "Day 1925 of 4936, 2012-03-06 00:00:00\n", - "Day 1926 of 4936, 2012-03-07 00:00:00\n", - "Day 1927 of 4936, 2012-03-08 00:00:00\n", - "Day 1928 of 4936, 2012-03-09 00:00:00\n", - "Day 1929 of 4936, 2012-03-12 00:00:00\n", - "Day 1930 of 4936, 2012-03-13 00:00:00\n", - "Day 1931 of 4936, 2012-03-14 00:00:00\n", - "Day 1932 of 4936, 2012-03-15 00:00:00\n", - "Day 1933 of 4936, 2012-03-16 00:00:00\n", - "Day 1934 of 4936, 2012-03-19 00:00:00\n", - "Day 1935 of 4936, 2012-03-20 00:00:00\n", - "Day 1936 of 4936, 2012-03-21 00:00:00\n", - "Day 1937 of 4936, 2012-03-22 00:00:00\n", - "Day 1938 of 4936, 2012-03-23 00:00:00\n", - "Day 1939 of 4936, 2012-03-26 00:00:00\n", - "Day 1940 of 4936, 2012-03-27 00:00:00\n", - "Day 1941 of 4936, 2012-03-28 00:00:00\n", - "Day 1942 of 4936, 2012-03-29 00:00:00\n", - "Day 1943 of 4936, 2012-03-30 00:00:00\n", - "Day 1944 of 4936, 2012-04-02 00:00:00\n", - "Day 1945 of 4936, 2012-04-03 00:00:00\n", - "Day 1946 of 4936, 2012-04-04 00:00:00\n", - "Day 1947 of 4936, 2012-04-05 00:00:00\n", - "Day 1948 of 4936, 2012-04-06 00:00:00\n", - "Day 1949 of 4936, 2012-04-09 00:00:00\n", - "Day 1950 of 4936, 2012-04-10 00:00:00\n", - "Day 1951 of 4936, 2012-04-11 00:00:00\n", - "Day 1952 of 4936, 2012-04-12 00:00:00\n", - "Day 1953 of 4936, 2012-04-13 00:00:00\n", - "Day 1954 of 4936, 2012-04-16 00:00:00\n", - "Day 1955 of 4936, 2012-04-17 00:00:00\n", - "Day 1956 of 4936, 2012-04-18 00:00:00\n", - "Day 1957 of 4936, 2012-04-19 00:00:00\n", - "Day 1958 of 4936, 2012-04-20 00:00:00\n", - "Day 1959 of 4936, 2012-04-23 00:00:00\n", - "Day 1960 of 4936, 2012-04-24 00:00:00\n", - "Day 1961 of 4936, 2012-04-25 00:00:00\n", - "Day 1962 of 4936, 2012-04-26 00:00:00\n", - "Day 1963 of 4936, 2012-04-27 00:00:00\n", - "Day 1964 of 4936, 2012-04-30 00:00:00\n", - "Day 1965 of 4936, 2012-05-01 00:00:00\n", - "Day 1966 of 4936, 2012-05-02 00:00:00\n", - "Day 1967 of 4936, 2012-05-03 00:00:00\n", - "Day 1968 of 4936, 2012-05-04 00:00:00\n", - "Day 1969 of 4936, 2012-05-07 00:00:00\n", - "Day 1970 of 4936, 2012-05-08 00:00:00\n", - "Day 1971 of 4936, 2012-05-09 00:00:00\n", - "Day 1972 of 4936, 2012-05-10 00:00:00\n", - "Day 1973 of 4936, 2012-05-11 00:00:00\n", - "Day 1974 of 4936, 2012-05-14 00:00:00\n", - "Day 1975 of 4936, 2012-05-15 00:00:00\n", - "Day 1976 of 4936, 2012-05-16 00:00:00\n", - "Day 1977 of 4936, 2012-05-17 00:00:00\n", - "Day 1978 of 4936, 2012-05-18 00:00:00\n", - "Day 1979 of 4936, 2012-05-21 00:00:00\n", - "Day 1980 of 4936, 2012-05-22 00:00:00\n", - "Day 1981 of 4936, 2012-05-23 00:00:00\n", - "Day 1982 of 4936, 2012-05-24 00:00:00\n", - "Day 1983 of 4936, 2012-05-25 00:00:00\n", - "Day 1984 of 4936, 2012-05-28 00:00:00\n", - "Day 1985 of 4936, 2012-05-29 00:00:00\n", - "Day 1986 of 4936, 2012-05-30 00:00:00\n", - "Day 1987 of 4936, 2012-05-31 00:00:00\n", - "Day 1988 of 4936, 2012-06-01 00:00:00\n", - "Day 1989 of 4936, 2012-06-04 00:00:00\n", - "Day 1990 of 4936, 2012-06-05 00:00:00\n", - "Day 1991 of 4936, 2012-06-06 00:00:00\n", - "Day 1992 of 4936, 2012-06-07 00:00:00\n", - "Day 1993 of 4936, 2012-06-08 00:00:00\n", - "Day 1994 of 4936, 2012-06-11 00:00:00\n", - "Day 1995 of 4936, 2012-06-12 00:00:00\n", - "Day 1996 of 4936, 2012-06-13 00:00:00\n", - "Day 1997 of 4936, 2012-06-14 00:00:00\n", - "Day 1998 of 4936, 2012-06-15 00:00:00\n", - "Day 1999 of 4936, 2012-06-18 00:00:00\n", - "Day 2000 of 4936, 2012-06-19 00:00:00\n", - "Day 2001 of 4936, 2012-06-20 00:00:00\n", - "Day 2002 of 4936, 2012-06-21 00:00:00\n", - "Day 2003 of 4936, 2012-06-22 00:00:00\n", - "Day 2004 of 4936, 2012-06-25 00:00:00\n", - "Day 2005 of 4936, 2012-06-26 00:00:00\n", - "Day 2006 of 4936, 2012-06-27 00:00:00\n", - "Day 2007 of 4936, 2012-06-28 00:00:00\n", - "Day 2008 of 4936, 2012-06-29 00:00:00\n", - "Day 2009 of 4936, 2012-07-02 00:00:00\n", - "Day 2010 of 4936, 2012-07-03 00:00:00\n", - "Day 2011 of 4936, 2012-07-04 00:00:00\n", - "Day 2012 of 4936, 2012-07-05 00:00:00\n", - "Day 2013 of 4936, 2012-07-06 00:00:00\n", - "Day 2014 of 4936, 2012-07-09 00:00:00\n", - "Day 2015 of 4936, 2012-07-10 00:00:00\n", - "Day 2016 of 4936, 2012-07-11 00:00:00\n", - "Day 2017 of 4936, 2012-07-12 00:00:00\n", - "Day 2018 of 4936, 2012-07-13 00:00:00\n", - "Day 2019 of 4936, 2012-07-16 00:00:00\n", - "Day 2020 of 4936, 2012-07-17 00:00:00\n", - "Day 2021 of 4936, 2012-07-18 00:00:00\n", - "Day 2022 of 4936, 2012-07-19 00:00:00\n", - "Day 2023 of 4936, 2012-07-20 00:00:00\n", - "Day 2024 of 4936, 2012-07-23 00:00:00\n", - "Day 2025 of 4936, 2012-07-24 00:00:00\n", - "Day 2026 of 4936, 2012-07-25 00:00:00\n", - "Day 2027 of 4936, 2012-07-26 00:00:00\n", - "Day 2028 of 4936, 2012-07-27 00:00:00\n", - "Day 2029 of 4936, 2012-07-30 00:00:00\n", - "Day 2030 of 4936, 2012-07-31 00:00:00\n", - "Day 2031 of 4936, 2012-08-01 00:00:00\n", - "Day 2032 of 4936, 2012-08-02 00:00:00\n", - "Day 2033 of 4936, 2012-08-03 00:00:00\n", - "Day 2034 of 4936, 2012-08-06 00:00:00\n", - "Day 2035 of 4936, 2012-08-07 00:00:00\n", - "Day 2036 of 4936, 2012-08-08 00:00:00\n", - "Day 2037 of 4936, 2012-08-09 00:00:00\n", - "Day 2038 of 4936, 2012-08-10 00:00:00\n", - "Day 2039 of 4936, 2012-08-13 00:00:00\n", - "Day 2040 of 4936, 2012-08-14 00:00:00\n", - "Day 2041 of 4936, 2012-08-15 00:00:00\n", - "Day 2042 of 4936, 2012-08-16 00:00:00\n", - "Day 2043 of 4936, 2012-08-17 00:00:00\n", - "Day 2044 of 4936, 2012-08-20 00:00:00\n", - "Day 2045 of 4936, 2012-08-21 00:00:00\n", - "Day 2046 of 4936, 2012-08-22 00:00:00\n", - "Day 2047 of 4936, 2012-08-23 00:00:00\n", - "Day 2048 of 4936, 2012-08-24 00:00:00\n", - "Day 2049 of 4936, 2012-08-27 00:00:00\n", - "Day 2050 of 4936, 2012-08-28 00:00:00\n", - "Day 2051 of 4936, 2012-08-29 00:00:00\n", - "Day 2052 of 4936, 2012-08-30 00:00:00\n", - "Day 2053 of 4936, 2012-08-31 00:00:00\n", - "Day 2054 of 4936, 2012-09-03 00:00:00\n", - "Day 2055 of 4936, 2012-09-04 00:00:00\n", - "Day 2056 of 4936, 2012-09-05 00:00:00\n", - "Day 2057 of 4936, 2012-09-06 00:00:00\n", - "Day 2058 of 4936, 2012-09-07 00:00:00\n", - "Day 2059 of 4936, 2012-09-10 00:00:00\n", - "Day 2060 of 4936, 2012-09-11 00:00:00\n", - "Day 2061 of 4936, 2012-09-12 00:00:00\n", - "Day 2062 of 4936, 2012-09-13 00:00:00\n", - "Day 2063 of 4936, 2012-09-14 00:00:00\n", - "Day 2064 of 4936, 2012-09-17 00:00:00\n", - "Day 2065 of 4936, 2012-09-18 00:00:00\n", - "Day 2066 of 4936, 2012-09-19 00:00:00\n", - "Day 2067 of 4936, 2012-09-20 00:00:00\n", - "Day 2068 of 4936, 2012-09-21 00:00:00\n", - "Day 2069 of 4936, 2012-09-24 00:00:00\n", - "Day 2070 of 4936, 2012-09-25 00:00:00\n", - "Day 2071 of 4936, 2012-09-26 00:00:00\n", - "Day 2072 of 4936, 2012-09-27 00:00:00\n", - "Day 2073 of 4936, 2012-09-28 00:00:00\n", - "Day 2074 of 4936, 2012-10-01 00:00:00\n", - "Day 2075 of 4936, 2012-10-02 00:00:00\n", - "Day 2076 of 4936, 2012-10-03 00:00:00\n", - "Day 2077 of 4936, 2012-10-04 00:00:00\n", - "Day 2078 of 4936, 2012-10-05 00:00:00\n", - "Day 2079 of 4936, 2012-10-08 00:00:00\n", - "Day 2080 of 4936, 2012-10-09 00:00:00\n", - "Day 2081 of 4936, 2012-10-10 00:00:00\n", - "Day 2082 of 4936, 2012-10-11 00:00:00\n", - "Day 2083 of 4936, 2012-10-12 00:00:00\n", - "Day 2084 of 4936, 2012-10-15 00:00:00\n", - "Day 2085 of 4936, 2012-10-16 00:00:00\n", - "Day 2086 of 4936, 2012-10-17 00:00:00\n", - "Day 2087 of 4936, 2012-10-18 00:00:00\n", - "Day 2088 of 4936, 2012-10-19 00:00:00\n", - "Day 2089 of 4936, 2012-10-22 00:00:00\n", - "Day 2090 of 4936, 2012-10-23 00:00:00\n", - "Day 2091 of 4936, 2012-10-24 00:00:00\n", - "Day 2092 of 4936, 2012-10-25 00:00:00\n", - "Day 2093 of 4936, 2012-10-26 00:00:00\n", - "Day 2094 of 4936, 2012-10-29 00:00:00\n", - "Day 2095 of 4936, 2012-10-30 00:00:00\n", - "Day 2096 of 4936, 2012-10-31 00:00:00\n", - "Day 2097 of 4936, 2012-11-01 00:00:00\n", - "Day 2098 of 4936, 2012-11-02 00:00:00\n", - "Day 2099 of 4936, 2012-11-05 00:00:00\n", - "Day 2100 of 4936, 2012-11-06 00:00:00\n", - "Day 2101 of 4936, 2012-11-07 00:00:00\n", - "Day 2102 of 4936, 2012-11-08 00:00:00\n", - "Day 2103 of 4936, 2012-11-09 00:00:00\n", - "Day 2104 of 4936, 2012-11-12 00:00:00\n", - "Day 2105 of 4936, 2012-11-13 00:00:00\n", - "Day 2106 of 4936, 2012-11-14 00:00:00\n", - "Day 2107 of 4936, 2012-11-15 00:00:00\n", - "Day 2108 of 4936, 2012-11-16 00:00:00\n", - "Day 2109 of 4936, 2012-11-19 00:00:00\n", - "Day 2110 of 4936, 2012-11-20 00:00:00\n", - "Day 2111 of 4936, 2012-11-21 00:00:00\n", - "Day 2112 of 4936, 2012-11-22 00:00:00\n", - "Day 2113 of 4936, 2012-11-23 00:00:00\n", - "Day 2114 of 4936, 2012-11-26 00:00:00\n", - "Day 2115 of 4936, 2012-11-27 00:00:00\n", - "Day 2116 of 4936, 2012-11-28 00:00:00\n", - "Day 2117 of 4936, 2012-11-29 00:00:00\n", - "Day 2118 of 4936, 2012-11-30 00:00:00\n", - "Day 2119 of 4936, 2012-12-03 00:00:00\n", - "Day 2120 of 4936, 2012-12-04 00:00:00\n", - "Day 2121 of 4936, 2012-12-05 00:00:00\n", - "Day 2122 of 4936, 2012-12-06 00:00:00\n", - "Day 2123 of 4936, 2012-12-07 00:00:00\n", - "Day 2124 of 4936, 2012-12-10 00:00:00\n", - "Day 2125 of 4936, 2012-12-11 00:00:00\n", - "Day 2126 of 4936, 2012-12-12 00:00:00\n", - "Day 2127 of 4936, 2012-12-13 00:00:00\n", - "Day 2128 of 4936, 2012-12-14 00:00:00\n", - "Day 2129 of 4936, 2012-12-17 00:00:00\n", - "Day 2130 of 4936, 2012-12-18 00:00:00\n", - "Day 2131 of 4936, 2012-12-19 00:00:00\n", - "Day 2132 of 4936, 2012-12-20 00:00:00\n", - "Day 2133 of 4936, 2012-12-21 00:00:00\n", - "Day 2134 of 4936, 2012-12-24 00:00:00\n", - "Day 2135 of 4936, 2012-12-25 00:00:00\n", - "Day 2136 of 4936, 2012-12-26 00:00:00\n", - "Day 2137 of 4936, 2012-12-27 00:00:00\n", - "Day 2138 of 4936, 2012-12-28 00:00:00\n", - "Day 2139 of 4936, 2012-12-31 00:00:00\n", - "Day 2140 of 4936, 2013-01-01 00:00:00\n", - "Day 2141 of 4936, 2013-01-02 00:00:00\n", - "Day 2142 of 4936, 2013-01-03 00:00:00\n", - "Day 2143 of 4936, 2013-01-04 00:00:00\n", - "Day 2144 of 4936, 2013-01-07 00:00:00\n", - "Day 2145 of 4936, 2013-01-08 00:00:00\n", - "Day 2146 of 4936, 2013-01-09 00:00:00\n", - "Day 2147 of 4936, 2013-01-10 00:00:00\n", - "Day 2148 of 4936, 2013-01-11 00:00:00\n", - "Day 2149 of 4936, 2013-01-14 00:00:00\n", - "Day 2150 of 4936, 2013-01-15 00:00:00\n", - "Day 2151 of 4936, 2013-01-16 00:00:00\n", - "Day 2152 of 4936, 2013-01-17 00:00:00\n", - "Day 2153 of 4936, 2013-01-18 00:00:00\n", - "Day 2154 of 4936, 2013-01-21 00:00:00\n", - "Day 2155 of 4936, 2013-01-22 00:00:00\n", - "Day 2156 of 4936, 2013-01-23 00:00:00\n", - "Day 2157 of 4936, 2013-01-24 00:00:00\n", - "Day 2158 of 4936, 2013-01-25 00:00:00\n", - "Day 2159 of 4936, 2013-01-28 00:00:00\n", - "Day 2160 of 4936, 2013-01-29 00:00:00\n", - "Day 2161 of 4936, 2013-01-30 00:00:00\n", - "Day 2162 of 4936, 2013-01-31 00:00:00\n", - "Day 2163 of 4936, 2013-02-01 00:00:00\n", - "Day 2164 of 4936, 2013-02-04 00:00:00\n", - "Day 2165 of 4936, 2013-02-05 00:00:00\n", - "Day 2166 of 4936, 2013-02-06 00:00:00\n", - "Day 2167 of 4936, 2013-02-07 00:00:00\n", - "Day 2168 of 4936, 2013-02-08 00:00:00\n", - "Day 2169 of 4936, 2013-02-11 00:00:00\n", - "Day 2170 of 4936, 2013-02-12 00:00:00\n", - "Day 2171 of 4936, 2013-02-13 00:00:00\n", - "Day 2172 of 4936, 2013-02-14 00:00:00\n", - "Day 2173 of 4936, 2013-02-15 00:00:00\n", - "Day 2174 of 4936, 2013-02-18 00:00:00\n", - "Day 2175 of 4936, 2013-02-19 00:00:00\n", - "Day 2176 of 4936, 2013-02-20 00:00:00\n", - "Day 2177 of 4936, 2013-02-21 00:00:00\n", - "Day 2178 of 4936, 2013-02-22 00:00:00\n", - "Day 2179 of 4936, 2013-02-25 00:00:00\n", - "Day 2180 of 4936, 2013-02-26 00:00:00\n", - "Day 2181 of 4936, 2013-02-27 00:00:00\n", - "Day 2182 of 4936, 2013-02-28 00:00:00\n", - "Day 2183 of 4936, 2013-03-01 00:00:00\n", - "Day 2184 of 4936, 2013-03-04 00:00:00\n", - "Day 2185 of 4936, 2013-03-05 00:00:00\n", - "Day 2186 of 4936, 2013-03-06 00:00:00\n", - "Day 2187 of 4936, 2013-03-07 00:00:00\n", - "Day 2188 of 4936, 2013-03-08 00:00:00\n", - "Day 2189 of 4936, 2013-03-11 00:00:00\n", - "Day 2190 of 4936, 2013-03-12 00:00:00\n", - "Day 2191 of 4936, 2013-03-13 00:00:00\n", - "Day 2192 of 4936, 2013-03-14 00:00:00\n", - "Day 2193 of 4936, 2013-03-15 00:00:00\n", - "Day 2194 of 4936, 2013-03-18 00:00:00\n", - "Day 2195 of 4936, 2013-03-19 00:00:00\n", - "Day 2196 of 4936, 2013-03-20 00:00:00\n", - "Day 2197 of 4936, 2013-03-21 00:00:00\n", - "Day 2198 of 4936, 2013-03-22 00:00:00\n", - "Day 2199 of 4936, 2013-03-25 00:00:00\n", - "Day 2200 of 4936, 2013-03-26 00:00:00\n", - "Day 2201 of 4936, 2013-03-27 00:00:00\n", - "Day 2202 of 4936, 2013-03-28 00:00:00\n", - "Day 2203 of 4936, 2013-03-29 00:00:00\n", - "Day 2204 of 4936, 2013-04-01 00:00:00\n", - "Day 2205 of 4936, 2013-04-02 00:00:00\n", - "Day 2206 of 4936, 2013-04-03 00:00:00\n", - "Day 2207 of 4936, 2013-04-04 00:00:00\n", - "Day 2208 of 4936, 2013-04-05 00:00:00\n", - "Day 2209 of 4936, 2013-04-08 00:00:00\n", - "Day 2210 of 4936, 2013-04-09 00:00:00\n", - "Day 2211 of 4936, 2013-04-10 00:00:00\n", - "Day 2212 of 4936, 2013-04-11 00:00:00\n", - "Day 2213 of 4936, 2013-04-12 00:00:00\n", - "Day 2214 of 4936, 2013-04-15 00:00:00\n", - "Day 2215 of 4936, 2013-04-16 00:00:00\n", - "Day 2216 of 4936, 2013-04-17 00:00:00\n", - "Day 2217 of 4936, 2013-04-18 00:00:00\n", - "Day 2218 of 4936, 2013-04-19 00:00:00\n", - "Day 2219 of 4936, 2013-04-22 00:00:00\n", - "Day 2220 of 4936, 2013-04-23 00:00:00\n", - "Day 2221 of 4936, 2013-04-24 00:00:00\n", - "Day 2222 of 4936, 2013-04-25 00:00:00\n", - "Day 2223 of 4936, 2013-04-26 00:00:00\n", - "Day 2224 of 4936, 2013-04-29 00:00:00\n", - "Day 2225 of 4936, 2013-04-30 00:00:00\n", - "Day 2226 of 4936, 2013-05-01 00:00:00\n", - "Day 2227 of 4936, 2013-05-02 00:00:00\n", - "Day 2228 of 4936, 2013-05-03 00:00:00\n", - "Day 2229 of 4936, 2013-05-06 00:00:00\n", - "Day 2230 of 4936, 2013-05-07 00:00:00\n", - "Day 2231 of 4936, 2013-05-08 00:00:00\n", - "Day 2232 of 4936, 2013-05-09 00:00:00\n", - "Day 2233 of 4936, 2013-05-10 00:00:00\n", - "Day 2234 of 4936, 2013-05-13 00:00:00\n", - "Day 2235 of 4936, 2013-05-14 00:00:00\n", - "Day 2236 of 4936, 2013-05-15 00:00:00\n", - "Day 2237 of 4936, 2013-05-16 00:00:00\n", - "Day 2238 of 4936, 2013-05-17 00:00:00\n", - "Day 2239 of 4936, 2013-05-20 00:00:00\n", - "Day 2240 of 4936, 2013-05-21 00:00:00\n", - "Day 2241 of 4936, 2013-05-22 00:00:00\n", - "Day 2242 of 4936, 2013-05-23 00:00:00\n", - "Day 2243 of 4936, 2013-05-24 00:00:00\n", - "Day 2244 of 4936, 2013-05-27 00:00:00\n", - "Day 2245 of 4936, 2013-05-28 00:00:00\n", - "Day 2246 of 4936, 2013-05-29 00:00:00\n", - "Day 2247 of 4936, 2013-05-30 00:00:00\n", - "Day 2248 of 4936, 2013-05-31 00:00:00\n", - "Day 2249 of 4936, 2013-06-03 00:00:00\n", - "Day 2250 of 4936, 2013-06-04 00:00:00\n", - "Day 2251 of 4936, 2013-06-05 00:00:00\n", - "Day 2252 of 4936, 2013-06-06 00:00:00\n", - "Day 2253 of 4936, 2013-06-07 00:00:00\n", - "Day 2254 of 4936, 2013-06-10 00:00:00\n", - "Day 2255 of 4936, 2013-06-11 00:00:00\n", - "Day 2256 of 4936, 2013-06-12 00:00:00\n", - "Day 2257 of 4936, 2013-06-13 00:00:00\n", - "Day 2258 of 4936, 2013-06-14 00:00:00\n", - "Day 2259 of 4936, 2013-06-17 00:00:00\n", - "Day 2260 of 4936, 2013-06-18 00:00:00\n", - "Day 2261 of 4936, 2013-06-19 00:00:00\n", - "Day 2262 of 4936, 2013-06-20 00:00:00\n", - "Day 2263 of 4936, 2013-06-21 00:00:00\n", - "Day 2264 of 4936, 2013-06-24 00:00:00\n", - "Day 2265 of 4936, 2013-06-25 00:00:00\n", - "Day 2266 of 4936, 2013-06-26 00:00:00\n", - "Day 2267 of 4936, 2013-06-27 00:00:00\n", - "Day 2268 of 4936, 2013-06-28 00:00:00\n", - "Day 2269 of 4936, 2013-07-01 00:00:00\n", - "Day 2270 of 4936, 2013-07-02 00:00:00\n", - "Day 2271 of 4936, 2013-07-03 00:00:00\n", - "Day 2272 of 4936, 2013-07-04 00:00:00\n", - "Day 2273 of 4936, 2013-07-05 00:00:00\n", - "Day 2274 of 4936, 2013-07-08 00:00:00\n", - "Day 2275 of 4936, 2013-07-09 00:00:00\n", - "Day 2276 of 4936, 2013-07-10 00:00:00\n", - "Day 2277 of 4936, 2013-07-11 00:00:00\n", - "Day 2278 of 4936, 2013-07-12 00:00:00\n", - "Day 2279 of 4936, 2013-07-15 00:00:00\n", - "Day 2280 of 4936, 2013-07-16 00:00:00\n", - "Day 2281 of 4936, 2013-07-17 00:00:00\n", - "Day 2282 of 4936, 2013-07-18 00:00:00\n", - "Day 2283 of 4936, 2013-07-19 00:00:00\n", - "Day 2284 of 4936, 2013-07-22 00:00:00\n", - "Day 2285 of 4936, 2013-07-23 00:00:00\n", - "Day 2286 of 4936, 2013-07-24 00:00:00\n", - "Day 2287 of 4936, 2013-07-25 00:00:00\n", - "Day 2288 of 4936, 2013-07-26 00:00:00\n", - "Day 2289 of 4936, 2013-07-29 00:00:00\n", - "Day 2290 of 4936, 2013-07-30 00:00:00\n", - "Day 2291 of 4936, 2013-07-31 00:00:00\n", - "Day 2292 of 4936, 2013-08-01 00:00:00\n", - "Day 2293 of 4936, 2013-08-02 00:00:00\n", - "Day 2294 of 4936, 2013-08-05 00:00:00\n", - "Day 2295 of 4936, 2013-08-06 00:00:00\n", - "Day 2296 of 4936, 2013-08-07 00:00:00\n", - "Day 2297 of 4936, 2013-08-08 00:00:00\n", - "Day 2298 of 4936, 2013-08-09 00:00:00\n", - "Day 2299 of 4936, 2013-08-12 00:00:00\n", - "Day 2300 of 4936, 2013-08-13 00:00:00\n", - "Day 2301 of 4936, 2013-08-14 00:00:00\n", - "Day 2302 of 4936, 2013-08-15 00:00:00\n", - "Day 2303 of 4936, 2013-08-16 00:00:00\n", - "Day 2304 of 4936, 2013-08-19 00:00:00\n", - "Day 2305 of 4936, 2013-08-20 00:00:00\n", - "Day 2306 of 4936, 2013-08-21 00:00:00\n", - "Day 2307 of 4936, 2013-08-22 00:00:00\n", - "Day 2308 of 4936, 2013-08-23 00:00:00\n", - "Day 2309 of 4936, 2013-08-26 00:00:00\n", - "Day 2310 of 4936, 2013-08-27 00:00:00\n", - "Day 2311 of 4936, 2013-08-28 00:00:00\n", - "Day 2312 of 4936, 2013-08-29 00:00:00\n", - "Day 2313 of 4936, 2013-08-30 00:00:00\n", - "Day 2314 of 4936, 2013-09-02 00:00:00\n", - "Day 2315 of 4936, 2013-09-03 00:00:00\n", - "Day 2316 of 4936, 2013-09-04 00:00:00\n", - "Day 2317 of 4936, 2013-09-05 00:00:00\n", - "Day 2318 of 4936, 2013-09-06 00:00:00\n", - "Day 2319 of 4936, 2013-09-09 00:00:00\n", - "Day 2320 of 4936, 2013-09-10 00:00:00\n", - "Day 2321 of 4936, 2013-09-11 00:00:00\n", - "Day 2322 of 4936, 2013-09-12 00:00:00\n", - "Day 2323 of 4936, 2013-09-13 00:00:00\n", - "Day 2324 of 4936, 2013-09-16 00:00:00\n", - "Day 2325 of 4936, 2013-09-17 00:00:00\n", - "Day 2326 of 4936, 2013-09-18 00:00:00\n", - "Day 2327 of 4936, 2013-09-19 00:00:00\n", - "Day 2328 of 4936, 2013-09-20 00:00:00\n", - "Day 2329 of 4936, 2013-09-23 00:00:00\n", - "Day 2330 of 4936, 2013-09-24 00:00:00\n", - "Day 2331 of 4936, 2013-09-25 00:00:00\n", - "Day 2332 of 4936, 2013-09-26 00:00:00\n", - "Day 2333 of 4936, 2013-09-27 00:00:00\n", - "Day 2334 of 4936, 2013-09-30 00:00:00\n", - "Day 2335 of 4936, 2013-10-01 00:00:00\n", - "Day 2336 of 4936, 2013-10-02 00:00:00\n", - "Day 2337 of 4936, 2013-10-03 00:00:00\n", - "Day 2338 of 4936, 2013-10-04 00:00:00\n", - "Day 2339 of 4936, 2013-10-07 00:00:00\n", - "Day 2340 of 4936, 2013-10-08 00:00:00\n", - "Day 2341 of 4936, 2013-10-09 00:00:00\n", - "Day 2342 of 4936, 2013-10-10 00:00:00\n", - "Day 2343 of 4936, 2013-10-11 00:00:00\n", - "Day 2344 of 4936, 2013-10-14 00:00:00\n", - "Day 2345 of 4936, 2013-10-15 00:00:00\n", - "Day 2346 of 4936, 2013-10-16 00:00:00\n", - "Day 2347 of 4936, 2013-10-17 00:00:00\n", - "Day 2348 of 4936, 2013-10-18 00:00:00\n", - "Day 2349 of 4936, 2013-10-21 00:00:00\n", - "Day 2350 of 4936, 2013-10-22 00:00:00\n", - "Day 2351 of 4936, 2013-10-23 00:00:00\n", - "Day 2352 of 4936, 2013-10-24 00:00:00\n", - "Day 2353 of 4936, 2013-10-25 00:00:00\n", - "Day 2354 of 4936, 2013-10-28 00:00:00\n", - "Day 2355 of 4936, 2013-10-29 00:00:00\n", - "Day 2356 of 4936, 2013-10-30 00:00:00\n", - "Day 2357 of 4936, 2013-10-31 00:00:00\n", - "Day 2358 of 4936, 2013-11-01 00:00:00\n", - "Day 2359 of 4936, 2013-11-04 00:00:00\n", - "Day 2360 of 4936, 2013-11-05 00:00:00\n", - "Day 2361 of 4936, 2013-11-06 00:00:00\n", - "Day 2362 of 4936, 2013-11-07 00:00:00\n", - "Day 2363 of 4936, 2013-11-08 00:00:00\n", - "Day 2364 of 4936, 2013-11-11 00:00:00\n", - "Day 2365 of 4936, 2013-11-12 00:00:00\n", - "Day 2366 of 4936, 2013-11-13 00:00:00\n", - "Day 2367 of 4936, 2013-11-14 00:00:00\n", - "Day 2368 of 4936, 2013-11-15 00:00:00\n", - "Day 2369 of 4936, 2013-11-18 00:00:00\n", - "Day 2370 of 4936, 2013-11-19 00:00:00\n", - "Day 2371 of 4936, 2013-11-20 00:00:00\n", - "Day 2372 of 4936, 2013-11-21 00:00:00\n", - "Day 2373 of 4936, 2013-11-22 00:00:00\n", - "Day 2374 of 4936, 2013-11-25 00:00:00\n", - "Day 2375 of 4936, 2013-11-26 00:00:00\n", - "Day 2376 of 4936, 2013-11-27 00:00:00\n", - "Day 2377 of 4936, 2013-11-28 00:00:00\n", - "Day 2378 of 4936, 2013-11-29 00:00:00\n", - "Day 2379 of 4936, 2013-12-02 00:00:00\n", - "Day 2380 of 4936, 2013-12-03 00:00:00\n", - "Day 2381 of 4936, 2013-12-04 00:00:00\n", - "Day 2382 of 4936, 2013-12-05 00:00:00\n", - "Day 2383 of 4936, 2013-12-06 00:00:00\n", - "Day 2384 of 4936, 2013-12-09 00:00:00\n", - "Day 2385 of 4936, 2013-12-10 00:00:00\n", - "Day 2386 of 4936, 2013-12-11 00:00:00\n", - "Day 2387 of 4936, 2013-12-12 00:00:00\n", - "Day 2388 of 4936, 2013-12-13 00:00:00\n", - "Day 2389 of 4936, 2013-12-16 00:00:00\n", - "Day 2390 of 4936, 2013-12-17 00:00:00\n", - "Day 2391 of 4936, 2013-12-18 00:00:00\n", - "Day 2392 of 4936, 2013-12-19 00:00:00\n", - "Day 2393 of 4936, 2013-12-20 00:00:00\n", - "Day 2394 of 4936, 2013-12-23 00:00:00\n", - "Day 2395 of 4936, 2013-12-24 00:00:00\n", - "Day 2396 of 4936, 2013-12-25 00:00:00\n", - "Day 2397 of 4936, 2013-12-26 00:00:00\n", - "Day 2398 of 4936, 2013-12-27 00:00:00\n", - "Day 2399 of 4936, 2013-12-30 00:00:00\n", - "Day 2400 of 4936, 2013-12-31 00:00:00\n", - "Day 2401 of 4936, 2014-01-01 00:00:00\n", - "Day 2402 of 4936, 2014-01-02 00:00:00\n", - "Day 2403 of 4936, 2014-01-03 00:00:00\n", - "Day 2404 of 4936, 2014-01-06 00:00:00\n", - "Day 2405 of 4936, 2014-01-07 00:00:00\n", - "Day 2406 of 4936, 2014-01-08 00:00:00\n", - "Day 2407 of 4936, 2014-01-09 00:00:00\n", - "Day 2408 of 4936, 2014-01-10 00:00:00\n", - "Day 2409 of 4936, 2014-01-13 00:00:00\n", - "Day 2410 of 4936, 2014-01-14 00:00:00\n", - "Day 2411 of 4936, 2014-01-15 00:00:00\n", - "Day 2412 of 4936, 2014-01-16 00:00:00\n", - "Day 2413 of 4936, 2014-01-17 00:00:00\n", - "Day 2414 of 4936, 2014-01-20 00:00:00\n", - "Day 2415 of 4936, 2014-01-21 00:00:00\n", - "Day 2416 of 4936, 2014-01-22 00:00:00\n", - "Day 2417 of 4936, 2014-01-23 00:00:00\n", - "Day 2418 of 4936, 2014-01-24 00:00:00\n", - "Day 2419 of 4936, 2014-01-27 00:00:00\n", - "Day 2420 of 4936, 2014-01-28 00:00:00\n", - "Day 2421 of 4936, 2014-01-29 00:00:00\n", - "Day 2422 of 4936, 2014-01-30 00:00:00\n", - "Day 2423 of 4936, 2014-01-31 00:00:00\n", - "Day 2424 of 4936, 2014-02-03 00:00:00\n", - "Day 2425 of 4936, 2014-02-04 00:00:00\n", - "Day 2426 of 4936, 2014-02-05 00:00:00\n", - "Day 2427 of 4936, 2014-02-06 00:00:00\n", - "Day 2428 of 4936, 2014-02-07 00:00:00\n", - "Day 2429 of 4936, 2014-02-10 00:00:00\n", - "Day 2430 of 4936, 2014-02-11 00:00:00\n", - "Day 2431 of 4936, 2014-02-12 00:00:00\n", - "Day 2432 of 4936, 2014-02-13 00:00:00\n", - "Day 2433 of 4936, 2014-02-14 00:00:00\n", - "Day 2434 of 4936, 2014-02-17 00:00:00\n", - "Day 2435 of 4936, 2014-02-18 00:00:00\n", - "Day 2436 of 4936, 2014-02-19 00:00:00\n", - "Day 2437 of 4936, 2014-02-20 00:00:00\n", - "Day 2438 of 4936, 2014-02-21 00:00:00\n", - "Day 2439 of 4936, 2014-02-24 00:00:00\n", - "Day 2440 of 4936, 2014-02-25 00:00:00\n", - "Day 2441 of 4936, 2014-02-26 00:00:00\n", - "Day 2442 of 4936, 2014-02-27 00:00:00\n", - "Day 2443 of 4936, 2014-02-28 00:00:00\n", - "Day 2444 of 4936, 2014-03-03 00:00:00\n", - "Day 2445 of 4936, 2014-03-04 00:00:00\n", - "Day 2446 of 4936, 2014-03-05 00:00:00\n", - "Day 2447 of 4936, 2014-03-06 00:00:00\n", - "Day 2448 of 4936, 2014-03-07 00:00:00\n", - "Day 2449 of 4936, 2014-03-10 00:00:00\n", - "Day 2450 of 4936, 2014-03-11 00:00:00\n", - "Day 2451 of 4936, 2014-03-12 00:00:00\n", - "Day 2452 of 4936, 2014-03-13 00:00:00\n", - "Day 2453 of 4936, 2014-03-14 00:00:00\n", - "Day 2454 of 4936, 2014-03-17 00:00:00\n", - "Day 2455 of 4936, 2014-03-18 00:00:00\n", - "Day 2456 of 4936, 2014-03-19 00:00:00\n", - "Day 2457 of 4936, 2014-03-20 00:00:00\n", - "Day 2458 of 4936, 2014-03-21 00:00:00\n", - "Day 2459 of 4936, 2014-03-24 00:00:00\n", - "Day 2460 of 4936, 2014-03-25 00:00:00\n", - "Day 2461 of 4936, 2014-03-26 00:00:00\n", - "Day 2462 of 4936, 2014-03-27 00:00:00\n", - "Day 2463 of 4936, 2014-03-28 00:00:00\n", - "Day 2464 of 4936, 2014-03-31 00:00:00\n", - "Day 2465 of 4936, 2014-04-01 00:00:00\n", - "Day 2466 of 4936, 2014-04-02 00:00:00\n", - "Day 2467 of 4936, 2014-04-03 00:00:00\n", - "Day 2468 of 4936, 2014-04-04 00:00:00\n", - "Day 2469 of 4936, 2014-04-07 00:00:00\n", - "Day 2470 of 4936, 2014-04-08 00:00:00\n", - "Day 2471 of 4936, 2014-04-09 00:00:00\n", - "Day 2472 of 4936, 2014-04-10 00:00:00\n", - "Day 2473 of 4936, 2014-04-11 00:00:00\n", - "Day 2474 of 4936, 2014-04-14 00:00:00\n", - "Day 2475 of 4936, 2014-04-15 00:00:00\n", - "Day 2476 of 4936, 2014-04-16 00:00:00\n", - "Day 2477 of 4936, 2014-04-17 00:00:00\n", - "Day 2478 of 4936, 2014-04-18 00:00:00\n", - "Day 2479 of 4936, 2014-04-21 00:00:00\n", - "Day 2480 of 4936, 2014-04-22 00:00:00\n", - "Day 2481 of 4936, 2014-04-23 00:00:00\n", - "Day 2482 of 4936, 2014-04-24 00:00:00\n", - "Day 2483 of 4936, 2014-04-25 00:00:00\n", - "Day 2484 of 4936, 2014-04-28 00:00:00\n", - "Day 2485 of 4936, 2014-04-29 00:00:00\n", - "Day 2486 of 4936, 2014-04-30 00:00:00\n", - "Day 2487 of 4936, 2014-05-01 00:00:00\n", - "Day 2488 of 4936, 2014-05-02 00:00:00\n", - "Day 2489 of 4936, 2014-05-05 00:00:00\n", - "Day 2490 of 4936, 2014-05-06 00:00:00\n", - "Day 2491 of 4936, 2014-05-07 00:00:00\n", - "Day 2492 of 4936, 2014-05-08 00:00:00\n", - "Day 2493 of 4936, 2014-05-09 00:00:00\n", - "Day 2494 of 4936, 2014-05-12 00:00:00\n", - "Day 2495 of 4936, 2014-05-13 00:00:00\n", - "Day 2496 of 4936, 2014-05-14 00:00:00\n", - "Day 2497 of 4936, 2014-05-15 00:00:00\n", - "Day 2498 of 4936, 2014-05-16 00:00:00\n", - "Day 2499 of 4936, 2014-05-19 00:00:00\n", - "Day 2500 of 4936, 2014-05-20 00:00:00\n", - "Day 2501 of 4936, 2014-05-21 00:00:00\n", - "Day 2502 of 4936, 2014-05-22 00:00:00\n", - "Day 2503 of 4936, 2014-05-23 00:00:00\n", - "Day 2504 of 4936, 2014-05-26 00:00:00\n", - "Day 2505 of 4936, 2014-05-27 00:00:00\n", - "Day 2506 of 4936, 2014-05-28 00:00:00\n", - "Day 2507 of 4936, 2014-05-29 00:00:00\n", - "Day 2508 of 4936, 2014-05-30 00:00:00\n", - "Day 2509 of 4936, 2014-06-02 00:00:00\n", - "Day 2510 of 4936, 2014-06-03 00:00:00\n", - "Day 2511 of 4936, 2014-06-04 00:00:00\n", - "Day 2512 of 4936, 2014-06-05 00:00:00\n", - "Day 2513 of 4936, 2014-06-06 00:00:00\n", - "Day 2514 of 4936, 2014-06-09 00:00:00\n", - "Day 2515 of 4936, 2014-06-10 00:00:00\n", - "Day 2516 of 4936, 2014-06-11 00:00:00\n", - "Day 2517 of 4936, 2014-06-12 00:00:00\n", - "Day 2518 of 4936, 2014-06-13 00:00:00\n", - "Day 2519 of 4936, 2014-06-16 00:00:00\n", - "Day 2520 of 4936, 2014-06-17 00:00:00\n", - "Day 2521 of 4936, 2014-06-18 00:00:00\n", - "Day 2522 of 4936, 2014-06-19 00:00:00\n", - "Day 2523 of 4936, 2014-06-20 00:00:00\n", - "Day 2524 of 4936, 2014-06-23 00:00:00\n", - "Day 2525 of 4936, 2014-06-24 00:00:00\n", - "Day 2526 of 4936, 2014-06-25 00:00:00\n", - "Day 2527 of 4936, 2014-06-26 00:00:00\n", - "Day 2528 of 4936, 2014-06-27 00:00:00\n", - "Day 2529 of 4936, 2014-06-30 00:00:00\n", - "Day 2530 of 4936, 2014-07-01 00:00:00\n", - "Day 2531 of 4936, 2014-07-02 00:00:00\n", - "Day 2532 of 4936, 2014-07-03 00:00:00\n", - "Day 2533 of 4936, 2014-07-04 00:00:00\n", - "Day 2534 of 4936, 2014-07-07 00:00:00\n", - "Day 2535 of 4936, 2014-07-08 00:00:00\n", - "Day 2536 of 4936, 2014-07-09 00:00:00\n", - "Day 2537 of 4936, 2014-07-10 00:00:00\n", - "Day 2538 of 4936, 2014-07-11 00:00:00\n", - "Day 2539 of 4936, 2014-07-14 00:00:00\n", - "Day 2540 of 4936, 2014-07-15 00:00:00\n", - "Day 2541 of 4936, 2014-07-16 00:00:00\n", - "Day 2542 of 4936, 2014-07-17 00:00:00\n", - "Day 2543 of 4936, 2014-07-18 00:00:00\n", - "Day 2544 of 4936, 2014-07-21 00:00:00\n", - "Day 2545 of 4936, 2014-07-22 00:00:00\n", - "Day 2546 of 4936, 2014-07-23 00:00:00\n", - "Day 2547 of 4936, 2014-07-24 00:00:00\n", - "Day 2548 of 4936, 2014-07-25 00:00:00\n", - "Day 2549 of 4936, 2014-07-28 00:00:00\n", - "Day 2550 of 4936, 2014-07-29 00:00:00\n", - "Day 2551 of 4936, 2014-07-30 00:00:00\n", - "Day 2552 of 4936, 2014-07-31 00:00:00\n", - "Day 2553 of 4936, 2014-08-01 00:00:00\n", - "Day 2554 of 4936, 2014-08-04 00:00:00\n", - "Day 2555 of 4936, 2014-08-05 00:00:00\n", - "Day 2556 of 4936, 2014-08-06 00:00:00\n", - "Day 2557 of 4936, 2014-08-07 00:00:00\n", - "Day 2558 of 4936, 2014-08-08 00:00:00\n", - "Day 2559 of 4936, 2014-08-11 00:00:00\n", - "Day 2560 of 4936, 2014-08-12 00:00:00\n", - "Day 2561 of 4936, 2014-08-13 00:00:00\n", - "Day 2562 of 4936, 2014-08-14 00:00:00\n", - "Day 2563 of 4936, 2014-08-15 00:00:00\n", - "Day 2564 of 4936, 2014-08-18 00:00:00\n", - "Day 2565 of 4936, 2014-08-19 00:00:00\n", - "Day 2566 of 4936, 2014-08-20 00:00:00\n", - "Day 2567 of 4936, 2014-08-21 00:00:00\n", - "Day 2568 of 4936, 2014-08-22 00:00:00\n", - "Day 2569 of 4936, 2014-08-25 00:00:00\n", - "Day 2570 of 4936, 2014-08-26 00:00:00\n", - "Day 2571 of 4936, 2014-08-27 00:00:00\n", - "Day 2572 of 4936, 2014-08-28 00:00:00\n", - "Day 2573 of 4936, 2014-08-29 00:00:00\n", - "Day 2574 of 4936, 2014-09-01 00:00:00\n", - "Day 2575 of 4936, 2014-09-02 00:00:00\n", - "Day 2576 of 4936, 2014-09-03 00:00:00\n", - "Day 2577 of 4936, 2014-09-04 00:00:00\n", - "Day 2578 of 4936, 2014-09-05 00:00:00\n", - "Day 2579 of 4936, 2014-09-08 00:00:00\n", - "Day 2580 of 4936, 2014-09-09 00:00:00\n", - "Day 2581 of 4936, 2014-09-10 00:00:00\n", - "Day 2582 of 4936, 2014-09-11 00:00:00\n", - "Day 2583 of 4936, 2014-09-12 00:00:00\n", - "Day 2584 of 4936, 2014-09-15 00:00:00\n", - "Day 2585 of 4936, 2014-09-16 00:00:00\n", - "Day 2586 of 4936, 2014-09-17 00:00:00\n", - "Day 2587 of 4936, 2014-09-18 00:00:00\n", - "Day 2588 of 4936, 2014-09-19 00:00:00\n", - "Day 2589 of 4936, 2014-09-22 00:00:00\n", - "Day 2590 of 4936, 2014-09-23 00:00:00\n", - "Day 2591 of 4936, 2014-09-24 00:00:00\n", - "Day 2592 of 4936, 2014-09-25 00:00:00\n", - "Day 2593 of 4936, 2014-09-26 00:00:00\n", - "Day 2594 of 4936, 2014-09-29 00:00:00\n", - "Day 2595 of 4936, 2014-09-30 00:00:00\n", - "Day 2596 of 4936, 2014-10-01 00:00:00\n", - "Day 2597 of 4936, 2014-10-02 00:00:00\n", - "Day 2598 of 4936, 2014-10-03 00:00:00\n", - "Day 2599 of 4936, 2014-10-06 00:00:00\n", - "Day 2600 of 4936, 2014-10-07 00:00:00\n", - "Day 2601 of 4936, 2014-10-08 00:00:00\n", - "Day 2602 of 4936, 2014-10-09 00:00:00\n", - "Day 2603 of 4936, 2014-10-10 00:00:00\n", - "Day 2604 of 4936, 2014-10-13 00:00:00\n", - "Day 2605 of 4936, 2014-10-14 00:00:00\n", - "Day 2606 of 4936, 2014-10-15 00:00:00\n", - "Day 2607 of 4936, 2014-10-16 00:00:00\n", - "Day 2608 of 4936, 2014-10-17 00:00:00\n", - "Day 2609 of 4936, 2014-10-20 00:00:00\n", - "Day 2610 of 4936, 2014-10-21 00:00:00\n", - "Day 2611 of 4936, 2014-10-22 00:00:00\n", - "Day 2612 of 4936, 2014-10-23 00:00:00\n", - "Day 2613 of 4936, 2014-10-24 00:00:00\n", - "Day 2614 of 4936, 2014-10-27 00:00:00\n", - "Day 2615 of 4936, 2014-10-28 00:00:00\n", - "Day 2616 of 4936, 2014-10-29 00:00:00\n", - "Day 2617 of 4936, 2014-10-30 00:00:00\n", - "Day 2618 of 4936, 2014-10-31 00:00:00\n", - "Day 2619 of 4936, 2014-11-03 00:00:00\n", - "Day 2620 of 4936, 2014-11-04 00:00:00\n", - "Day 2621 of 4936, 2014-11-05 00:00:00\n", - "Day 2622 of 4936, 2014-11-06 00:00:00\n", - "Day 2623 of 4936, 2014-11-07 00:00:00\n", - "Day 2624 of 4936, 2014-11-10 00:00:00\n", - "Day 2625 of 4936, 2014-11-11 00:00:00\n", - "Day 2626 of 4936, 2014-11-12 00:00:00\n", - "Day 2627 of 4936, 2014-11-13 00:00:00\n", - "Day 2628 of 4936, 2014-11-14 00:00:00\n", - "Day 2629 of 4936, 2014-11-17 00:00:00\n", - "Day 2630 of 4936, 2014-11-18 00:00:00\n", - "Day 2631 of 4936, 2014-11-19 00:00:00\n", - "Day 2632 of 4936, 2014-11-20 00:00:00\n", - "Day 2633 of 4936, 2014-11-21 00:00:00\n", - "Day 2634 of 4936, 2014-11-24 00:00:00\n", - "Day 2635 of 4936, 2014-11-25 00:00:00\n", - "Day 2636 of 4936, 2014-11-26 00:00:00\n", - "Day 2637 of 4936, 2014-11-27 00:00:00\n", - "Day 2638 of 4936, 2014-11-28 00:00:00\n", - "Day 2639 of 4936, 2014-12-01 00:00:00\n", - "Day 2640 of 4936, 2014-12-02 00:00:00\n", - "Day 2641 of 4936, 2014-12-03 00:00:00\n", - "Day 2642 of 4936, 2014-12-04 00:00:00\n", - "Day 2643 of 4936, 2014-12-05 00:00:00\n", - "Day 2644 of 4936, 2014-12-08 00:00:00\n", - "Day 2645 of 4936, 2014-12-09 00:00:00\n", - "Day 2646 of 4936, 2014-12-10 00:00:00\n", - "Day 2647 of 4936, 2014-12-11 00:00:00\n", - "Day 2648 of 4936, 2014-12-12 00:00:00\n", - "Day 2649 of 4936, 2014-12-15 00:00:00\n", - "Day 2650 of 4936, 2014-12-16 00:00:00\n", - "Day 2651 of 4936, 2014-12-17 00:00:00\n", - "Day 2652 of 4936, 2014-12-18 00:00:00\n", - "Day 2653 of 4936, 2014-12-19 00:00:00\n", - "Day 2654 of 4936, 2014-12-22 00:00:00\n", - "Day 2655 of 4936, 2014-12-23 00:00:00\n", - "Day 2656 of 4936, 2014-12-24 00:00:00\n", - "Day 2657 of 4936, 2014-12-25 00:00:00\n", - "Day 2658 of 4936, 2014-12-26 00:00:00\n", - "Day 2659 of 4936, 2014-12-29 00:00:00\n", - "Day 2660 of 4936, 2014-12-30 00:00:00\n", - "Day 2661 of 4936, 2014-12-31 00:00:00\n", - "Day 2662 of 4936, 2015-01-01 00:00:00\n", - "Day 2663 of 4936, 2015-01-02 00:00:00\n", - "Day 2664 of 4936, 2015-01-05 00:00:00\n", - "Day 2665 of 4936, 2015-01-06 00:00:00\n", - "Day 2666 of 4936, 2015-01-07 00:00:00\n", - "Day 2667 of 4936, 2015-01-08 00:00:00\n", - "Day 2668 of 4936, 2015-01-09 00:00:00\n", - "Day 2669 of 4936, 2015-01-12 00:00:00\n", - "Day 2670 of 4936, 2015-01-13 00:00:00\n", - "Day 2671 of 4936, 2015-01-14 00:00:00\n", - "Day 2672 of 4936, 2015-01-15 00:00:00\n", - "Day 2673 of 4936, 2015-01-16 00:00:00\n", - "Day 2674 of 4936, 2015-01-19 00:00:00\n", - "Day 2675 of 4936, 2015-01-20 00:00:00\n", - "Day 2676 of 4936, 2015-01-21 00:00:00\n", - "Day 2677 of 4936, 2015-01-22 00:00:00\n", - "Day 2678 of 4936, 2015-01-23 00:00:00\n", - "Day 2679 of 4936, 2015-01-26 00:00:00\n", - "Day 2680 of 4936, 2015-01-27 00:00:00\n", - "Day 2681 of 4936, 2015-01-28 00:00:00\n", - "Day 2682 of 4936, 2015-01-29 00:00:00\n", - "Day 2683 of 4936, 2015-01-30 00:00:00\n", - "Day 2684 of 4936, 2015-02-02 00:00:00\n", - "Day 2685 of 4936, 2015-02-03 00:00:00\n", - "Day 2686 of 4936, 2015-02-04 00:00:00\n", - "Day 2687 of 4936, 2015-02-05 00:00:00\n", - "Day 2688 of 4936, 2015-02-06 00:00:00\n", - "Day 2689 of 4936, 2015-02-09 00:00:00\n", - "Day 2690 of 4936, 2015-02-10 00:00:00\n", - "Day 2691 of 4936, 2015-02-11 00:00:00\n", - "Day 2692 of 4936, 2015-02-12 00:00:00\n", - "Day 2693 of 4936, 2015-02-13 00:00:00\n", - "Day 2694 of 4936, 2015-02-16 00:00:00\n", - "Day 2695 of 4936, 2015-02-17 00:00:00\n", - "Day 2696 of 4936, 2015-02-18 00:00:00\n", - "Day 2697 of 4936, 2015-02-19 00:00:00\n", - "Day 2698 of 4936, 2015-02-20 00:00:00\n", - "Day 2699 of 4936, 2015-02-23 00:00:00\n", - "Day 2700 of 4936, 2015-02-24 00:00:00\n", - "Day 2701 of 4936, 2015-02-25 00:00:00\n", - "Day 2702 of 4936, 2015-02-26 00:00:00\n", - "Day 2703 of 4936, 2015-02-27 00:00:00\n", - "Day 2704 of 4936, 2015-03-02 00:00:00\n", - "Day 2705 of 4936, 2015-03-03 00:00:00\n", - "Day 2706 of 4936, 2015-03-04 00:00:00\n", - "Day 2707 of 4936, 2015-03-05 00:00:00\n", - "Day 2708 of 4936, 2015-03-06 00:00:00\n", - "Day 2709 of 4936, 2015-03-09 00:00:00\n", - "Day 2710 of 4936, 2015-03-10 00:00:00\n", - "Day 2711 of 4936, 2015-03-11 00:00:00\n", - "Day 2712 of 4936, 2015-03-12 00:00:00\n", - "Day 2713 of 4936, 2015-03-13 00:00:00\n", - "Day 2714 of 4936, 2015-03-16 00:00:00\n", - "Day 2715 of 4936, 2015-03-17 00:00:00\n", - "Day 2716 of 4936, 2015-03-18 00:00:00\n", - "Day 2717 of 4936, 2015-03-19 00:00:00\n", - "Day 2718 of 4936, 2015-03-20 00:00:00\n", - "Day 2719 of 4936, 2015-03-23 00:00:00\n", - "Day 2720 of 4936, 2015-03-24 00:00:00\n", - "Day 2721 of 4936, 2015-03-25 00:00:00\n", - "Day 2722 of 4936, 2015-03-26 00:00:00\n", - "Day 2723 of 4936, 2015-03-27 00:00:00\n", - "Day 2724 of 4936, 2015-03-30 00:00:00\n", - "Day 2725 of 4936, 2015-03-31 00:00:00\n", - "Day 2726 of 4936, 2015-04-01 00:00:00\n", - "Day 2727 of 4936, 2015-04-02 00:00:00\n", - "Day 2728 of 4936, 2015-04-03 00:00:00\n", - "Day 2729 of 4936, 2015-04-06 00:00:00\n", - "Day 2730 of 4936, 2015-04-07 00:00:00\n", - "Day 2731 of 4936, 2015-04-08 00:00:00\n", - "Day 2732 of 4936, 2015-04-09 00:00:00\n", - "Day 2733 of 4936, 2015-04-10 00:00:00\n", - "Day 2734 of 4936, 2015-04-13 00:00:00\n", - "Day 2735 of 4936, 2015-04-14 00:00:00\n", - "Day 2736 of 4936, 2015-04-15 00:00:00\n", - "Day 2737 of 4936, 2015-04-16 00:00:00\n", - "Day 2738 of 4936, 2015-04-17 00:00:00\n", - "Day 2739 of 4936, 2015-04-20 00:00:00\n", - "Day 2740 of 4936, 2015-04-21 00:00:00\n", - "Day 2741 of 4936, 2015-04-22 00:00:00\n", - "Day 2742 of 4936, 2015-04-23 00:00:00\n", - "Day 2743 of 4936, 2015-04-24 00:00:00\n", - "Day 2744 of 4936, 2015-04-27 00:00:00\n", - "Day 2745 of 4936, 2015-04-28 00:00:00\n", - "Day 2746 of 4936, 2015-04-29 00:00:00\n", - "Day 2747 of 4936, 2015-04-30 00:00:00\n", - "Day 2748 of 4936, 2015-05-01 00:00:00\n", - "Day 2749 of 4936, 2015-05-04 00:00:00\n", - "Day 2750 of 4936, 2015-05-05 00:00:00\n", - "Day 2751 of 4936, 2015-05-06 00:00:00\n", - "Day 2752 of 4936, 2015-05-07 00:00:00\n", - "Day 2753 of 4936, 2015-05-08 00:00:00\n", - "Day 2754 of 4936, 2015-05-11 00:00:00\n", - "Day 2755 of 4936, 2015-05-12 00:00:00\n", - "Day 2756 of 4936, 2015-05-13 00:00:00\n", - "Day 2757 of 4936, 2015-05-14 00:00:00\n", - "Day 2758 of 4936, 2015-05-15 00:00:00\n", - "Day 2759 of 4936, 2015-05-18 00:00:00\n", - "Day 2760 of 4936, 2015-05-19 00:00:00\n", - "Day 2761 of 4936, 2015-05-20 00:00:00\n", - "Day 2762 of 4936, 2015-05-21 00:00:00\n", - "Day 2763 of 4936, 2015-05-22 00:00:00\n", - "Day 2764 of 4936, 2015-05-25 00:00:00\n", - "Day 2765 of 4936, 2015-05-26 00:00:00\n", - "Day 2766 of 4936, 2015-05-27 00:00:00\n", - "Day 2767 of 4936, 2015-05-28 00:00:00\n", - "Day 2768 of 4936, 2015-05-29 00:00:00\n", - "Day 2769 of 4936, 2015-06-01 00:00:00\n", - "Day 2770 of 4936, 2015-06-02 00:00:00\n", - "Day 2771 of 4936, 2015-06-03 00:00:00\n", - "Day 2772 of 4936, 2015-06-04 00:00:00\n", - "Day 2773 of 4936, 2015-06-05 00:00:00\n", - "Day 2774 of 4936, 2015-06-08 00:00:00\n", - "Day 2775 of 4936, 2015-06-09 00:00:00\n", - "Day 2776 of 4936, 2015-06-10 00:00:00\n", - "Day 2777 of 4936, 2015-06-11 00:00:00\n", - "Day 2778 of 4936, 2015-06-12 00:00:00\n", - "Day 2779 of 4936, 2015-06-15 00:00:00\n", - "Day 2780 of 4936, 2015-06-16 00:00:00\n", - "Day 2781 of 4936, 2015-06-17 00:00:00\n", - "Day 2782 of 4936, 2015-06-18 00:00:00\n", - "Day 2783 of 4936, 2015-06-19 00:00:00\n", - "Day 2784 of 4936, 2015-06-22 00:00:00\n", - "Day 2785 of 4936, 2015-06-23 00:00:00\n", - "Day 2786 of 4936, 2015-06-24 00:00:00\n", - "Day 2787 of 4936, 2015-06-25 00:00:00\n", - "Day 2788 of 4936, 2015-06-26 00:00:00\n", - "Day 2789 of 4936, 2015-06-29 00:00:00\n", - "Day 2790 of 4936, 2015-06-30 00:00:00\n", - "Day 2791 of 4936, 2015-07-01 00:00:00\n", - "Day 2792 of 4936, 2015-07-02 00:00:00\n", - "Day 2793 of 4936, 2015-07-03 00:00:00\n", - "Day 2794 of 4936, 2015-07-06 00:00:00\n", - "Day 2795 of 4936, 2015-07-07 00:00:00\n", - "Day 2796 of 4936, 2015-07-08 00:00:00\n", - "Day 2797 of 4936, 2015-07-09 00:00:00\n", - "Day 2798 of 4936, 2015-07-10 00:00:00\n", - "Day 2799 of 4936, 2015-07-13 00:00:00\n", - "Day 2800 of 4936, 2015-07-14 00:00:00\n", - "Day 2801 of 4936, 2015-07-15 00:00:00\n", - "Day 2802 of 4936, 2015-07-16 00:00:00\n", - "Day 2803 of 4936, 2015-07-17 00:00:00\n", - "Day 2804 of 4936, 2015-07-20 00:00:00\n", - "Day 2805 of 4936, 2015-07-21 00:00:00\n", - "Day 2806 of 4936, 2015-07-22 00:00:00\n", - "Day 2807 of 4936, 2015-07-23 00:00:00\n", - "Day 2808 of 4936, 2015-07-24 00:00:00\n", - "Day 2809 of 4936, 2015-07-27 00:00:00\n", - "Day 2810 of 4936, 2015-07-28 00:00:00\n", - "Day 2811 of 4936, 2015-07-29 00:00:00\n", - "Day 2812 of 4936, 2015-07-30 00:00:00\n", - "Day 2813 of 4936, 2015-07-31 00:00:00\n", - "Day 2814 of 4936, 2015-08-03 00:00:00\n", - "Day 2815 of 4936, 2015-08-04 00:00:00\n", - "Day 2816 of 4936, 2015-08-05 00:00:00\n", - "Day 2817 of 4936, 2015-08-06 00:00:00\n", - "Day 2818 of 4936, 2015-08-07 00:00:00\n", - "Day 2819 of 4936, 2015-08-10 00:00:00\n", - "Day 2820 of 4936, 2015-08-11 00:00:00\n", - "Day 2821 of 4936, 2015-08-12 00:00:00\n", - "Day 2822 of 4936, 2015-08-13 00:00:00\n", - "Day 2823 of 4936, 2015-08-14 00:00:00\n", - "Day 2824 of 4936, 2015-08-17 00:00:00\n", - "Day 2825 of 4936, 2015-08-18 00:00:00\n", - "Day 2826 of 4936, 2015-08-19 00:00:00\n", - "Day 2827 of 4936, 2015-08-20 00:00:00\n", - "Day 2828 of 4936, 2015-08-21 00:00:00\n", - "Day 2829 of 4936, 2015-08-24 00:00:00\n", - "Day 2830 of 4936, 2015-08-25 00:00:00\n", - "Day 2831 of 4936, 2015-08-26 00:00:00\n", - "Day 2832 of 4936, 2015-08-27 00:00:00\n", - "Day 2833 of 4936, 2015-08-28 00:00:00\n", - "Day 2834 of 4936, 2015-08-31 00:00:00\n", - "Day 2835 of 4936, 2015-09-01 00:00:00\n", - "Day 2836 of 4936, 2015-09-02 00:00:00\n", - "Day 2837 of 4936, 2015-09-03 00:00:00\n", - "Day 2838 of 4936, 2015-09-04 00:00:00\n", - "Day 2839 of 4936, 2015-09-07 00:00:00\n", - "Day 2840 of 4936, 2015-09-08 00:00:00\n", - "Day 2841 of 4936, 2015-09-09 00:00:00\n", - "Day 2842 of 4936, 2015-09-10 00:00:00\n", - "Day 2843 of 4936, 2015-09-11 00:00:00\n", - "Day 2844 of 4936, 2015-09-14 00:00:00\n", - "Day 2845 of 4936, 2015-09-15 00:00:00\n", - "Day 2846 of 4936, 2015-09-16 00:00:00\n", - "Day 2847 of 4936, 2015-09-17 00:00:00\n", - "Day 2848 of 4936, 2015-09-18 00:00:00\n", - "Day 2849 of 4936, 2015-09-21 00:00:00\n", - "Day 2850 of 4936, 2015-09-22 00:00:00\n", - "Day 2851 of 4936, 2015-09-23 00:00:00\n", - "Day 2852 of 4936, 2015-09-24 00:00:00\n", - "Day 2853 of 4936, 2015-09-25 00:00:00\n", - "Day 2854 of 4936, 2015-09-28 00:00:00\n", - "Day 2855 of 4936, 2015-09-29 00:00:00\n", - "Day 2856 of 4936, 2015-09-30 00:00:00\n", - "Day 2857 of 4936, 2015-10-01 00:00:00\n", - "Day 2858 of 4936, 2015-10-02 00:00:00\n", - "Day 2859 of 4936, 2015-10-05 00:00:00\n", - "Day 2860 of 4936, 2015-10-06 00:00:00\n", - "Day 2861 of 4936, 2015-10-07 00:00:00\n", - "Day 2862 of 4936, 2015-10-08 00:00:00\n", - "Day 2863 of 4936, 2015-10-09 00:00:00\n", - "Day 2864 of 4936, 2015-10-12 00:00:00\n", - "Day 2865 of 4936, 2015-10-13 00:00:00\n", - "Day 2866 of 4936, 2015-10-14 00:00:00\n", - "Day 2867 of 4936, 2015-10-15 00:00:00\n", - "Day 2868 of 4936, 2015-10-16 00:00:00\n", - "Day 2869 of 4936, 2015-10-19 00:00:00\n", - "Day 2870 of 4936, 2015-10-20 00:00:00\n", - "Day 2871 of 4936, 2015-10-21 00:00:00\n", - "Day 2872 of 4936, 2015-10-22 00:00:00\n", - "Day 2873 of 4936, 2015-10-23 00:00:00\n", - "Day 2874 of 4936, 2015-10-26 00:00:00\n", - "Day 2875 of 4936, 2015-10-27 00:00:00\n", - "Day 2876 of 4936, 2015-10-28 00:00:00\n", - "Day 2877 of 4936, 2015-10-29 00:00:00\n", - "Day 2878 of 4936, 2015-10-30 00:00:00\n", - "Day 2879 of 4936, 2015-11-02 00:00:00\n", - "Day 2880 of 4936, 2015-11-03 00:00:00\n", - "Day 2881 of 4936, 2015-11-04 00:00:00\n", - "Day 2882 of 4936, 2015-11-05 00:00:00\n", - "Day 2883 of 4936, 2015-11-06 00:00:00\n", - "Day 2884 of 4936, 2015-11-09 00:00:00\n", - "Day 2885 of 4936, 2015-11-10 00:00:00\n", - "Day 2886 of 4936, 2015-11-11 00:00:00\n", - "Day 2887 of 4936, 2015-11-12 00:00:00\n", - "Day 2888 of 4936, 2015-11-13 00:00:00\n", - "Day 2889 of 4936, 2015-11-16 00:00:00\n", - "Day 2890 of 4936, 2015-11-17 00:00:00\n", - "Day 2891 of 4936, 2015-11-18 00:00:00\n", - "Day 2892 of 4936, 2015-11-19 00:00:00\n", - "Day 2893 of 4936, 2015-11-20 00:00:00\n", - "Day 2894 of 4936, 2015-11-23 00:00:00\n", - "Day 2895 of 4936, 2015-11-24 00:00:00\n", - "Day 2896 of 4936, 2015-11-25 00:00:00\n", - "Day 2897 of 4936, 2015-11-26 00:00:00\n", - "Day 2898 of 4936, 2015-11-27 00:00:00\n", - "Day 2899 of 4936, 2015-11-30 00:00:00\n", - "Day 2900 of 4936, 2015-12-01 00:00:00\n", - "Day 2901 of 4936, 2015-12-02 00:00:00\n", - "Day 2902 of 4936, 2015-12-03 00:00:00\n", - "Day 2903 of 4936, 2015-12-04 00:00:00\n", - "Day 2904 of 4936, 2015-12-07 00:00:00\n", - "Day 2905 of 4936, 2015-12-08 00:00:00\n", - "Day 2906 of 4936, 2015-12-09 00:00:00\n", - "Day 2907 of 4936, 2015-12-10 00:00:00\n", - "Day 2908 of 4936, 2015-12-11 00:00:00\n", - "Day 2909 of 4936, 2015-12-14 00:00:00\n", - "Day 2910 of 4936, 2015-12-15 00:00:00\n", - "Day 2911 of 4936, 2015-12-16 00:00:00\n", - "Day 2912 of 4936, 2015-12-17 00:00:00\n", - "Day 2913 of 4936, 2015-12-18 00:00:00\n", - "Day 2914 of 4936, 2015-12-21 00:00:00\n", - "Day 2915 of 4936, 2015-12-22 00:00:00\n", - "Day 2916 of 4936, 2015-12-23 00:00:00\n", - "Day 2917 of 4936, 2015-12-24 00:00:00\n", - "Day 2918 of 4936, 2015-12-25 00:00:00\n", - "Day 2919 of 4936, 2015-12-28 00:00:00\n", - "Day 2920 of 4936, 2015-12-29 00:00:00\n", - "Day 2921 of 4936, 2015-12-30 00:00:00\n", - "Day 2922 of 4936, 2015-12-31 00:00:00\n", - "Day 2923 of 4936, 2016-01-01 00:00:00\n", - "Day 2924 of 4936, 2016-01-04 00:00:00\n", - "Day 2925 of 4936, 2016-01-05 00:00:00\n", - "Day 2926 of 4936, 2016-01-06 00:00:00\n", - "Day 2927 of 4936, 2016-01-07 00:00:00\n", - "Day 2928 of 4936, 2016-01-08 00:00:00\n", - "Day 2929 of 4936, 2016-01-11 00:00:00\n", - "Day 2930 of 4936, 2016-01-12 00:00:00\n", - "Day 2931 of 4936, 2016-01-13 00:00:00\n", - "Day 2932 of 4936, 2016-01-14 00:00:00\n", - "Day 2933 of 4936, 2016-01-15 00:00:00\n", - "Day 2934 of 4936, 2016-01-18 00:00:00\n", - "Day 2935 of 4936, 2016-01-19 00:00:00\n", - "Day 2936 of 4936, 2016-01-20 00:00:00\n", - "Day 2937 of 4936, 2016-01-21 00:00:00\n", - "Day 2938 of 4936, 2016-01-22 00:00:00\n", - "Day 2939 of 4936, 2016-01-25 00:00:00\n", - "Day 2940 of 4936, 2016-01-26 00:00:00\n", - "Day 2941 of 4936, 2016-01-27 00:00:00\n", - "Day 2942 of 4936, 2016-01-28 00:00:00\n", - "Day 2943 of 4936, 2016-01-29 00:00:00\n", - "Day 2944 of 4936, 2016-02-01 00:00:00\n", - "Day 2945 of 4936, 2016-02-02 00:00:00\n", - "Day 2946 of 4936, 2016-02-03 00:00:00\n", - "Day 2947 of 4936, 2016-02-04 00:00:00\n", - "Day 2948 of 4936, 2016-02-05 00:00:00\n", - "Day 2949 of 4936, 2016-02-08 00:00:00\n", - "Day 2950 of 4936, 2016-02-09 00:00:00\n", - "Day 2951 of 4936, 2016-02-10 00:00:00\n", - "Day 2952 of 4936, 2016-02-11 00:00:00\n", - "Day 2953 of 4936, 2016-02-12 00:00:00\n", - "Day 2954 of 4936, 2016-02-15 00:00:00\n", - "Day 2955 of 4936, 2016-02-16 00:00:00\n", - "Day 2956 of 4936, 2016-02-17 00:00:00\n", - "Day 2957 of 4936, 2016-02-18 00:00:00\n", - "Day 2958 of 4936, 2016-02-19 00:00:00\n", - "Day 2959 of 4936, 2016-02-22 00:00:00\n", - "Day 2960 of 4936, 2016-02-23 00:00:00\n", - "Day 2961 of 4936, 2016-02-24 00:00:00\n", - "Day 2962 of 4936, 2016-02-25 00:00:00\n", - "Day 2963 of 4936, 2016-02-26 00:00:00\n", - "Day 2964 of 4936, 2016-02-29 00:00:00\n", - "Day 2965 of 4936, 2016-03-01 00:00:00\n", - "Day 2966 of 4936, 2016-03-02 00:00:00\n", - "Day 2967 of 4936, 2016-03-03 00:00:00\n", - "Day 2968 of 4936, 2016-03-04 00:00:00\n", - "Day 2969 of 4936, 2016-03-07 00:00:00\n", - "Day 2970 of 4936, 2016-03-08 00:00:00\n", - "Day 2971 of 4936, 2016-03-09 00:00:00\n", - "Day 2972 of 4936, 2016-03-10 00:00:00\n", - "Day 2973 of 4936, 2016-03-11 00:00:00\n", - "Day 2974 of 4936, 2016-03-14 00:00:00\n", - "Day 2975 of 4936, 2016-03-15 00:00:00\n", - "Day 2976 of 4936, 2016-03-16 00:00:00\n", - "Day 2977 of 4936, 2016-03-17 00:00:00\n", - "Day 2978 of 4936, 2016-03-18 00:00:00\n", - "Day 2979 of 4936, 2016-03-21 00:00:00\n", - "Day 2980 of 4936, 2016-03-22 00:00:00\n", - "Day 2981 of 4936, 2016-03-23 00:00:00\n", - "Day 2982 of 4936, 2016-03-24 00:00:00\n", - "Day 2983 of 4936, 2016-03-25 00:00:00\n", - "Day 2984 of 4936, 2016-03-28 00:00:00\n", - "Day 2985 of 4936, 2016-03-29 00:00:00\n", - "Day 2986 of 4936, 2016-03-30 00:00:00\n", - "Day 2987 of 4936, 2016-03-31 00:00:00\n", - "Day 2988 of 4936, 2016-04-01 00:00:00\n", - "Day 2989 of 4936, 2016-04-04 00:00:00\n", - "Day 2990 of 4936, 2016-04-05 00:00:00\n", - "Day 2991 of 4936, 2016-04-06 00:00:00\n", - "Day 2992 of 4936, 2016-04-07 00:00:00\n", - "Day 2993 of 4936, 2016-04-08 00:00:00\n", - "Day 2994 of 4936, 2016-04-11 00:00:00\n", - "Day 2995 of 4936, 2016-04-12 00:00:00\n", - "Day 2996 of 4936, 2016-04-13 00:00:00\n", - "Day 2997 of 4936, 2016-04-14 00:00:00\n", - "Day 2998 of 4936, 2016-04-15 00:00:00\n", - "Day 2999 of 4936, 2016-04-18 00:00:00\n", - "Day 3000 of 4936, 2016-04-19 00:00:00\n", - "Day 3001 of 4936, 2016-04-20 00:00:00\n", - "Day 3002 of 4936, 2016-04-21 00:00:00\n", - "Day 3003 of 4936, 2016-04-22 00:00:00\n", - "Day 3004 of 4936, 2016-04-25 00:00:00\n", - "Day 3005 of 4936, 2016-04-26 00:00:00\n", - "Day 3006 of 4936, 2016-04-27 00:00:00\n", - "Day 3007 of 4936, 2016-04-28 00:00:00\n", - "Day 3008 of 4936, 2016-04-29 00:00:00\n", - "Day 3009 of 4936, 2016-05-02 00:00:00\n", - "Day 3010 of 4936, 2016-05-03 00:00:00\n", - "Day 3011 of 4936, 2016-05-04 00:00:00\n", - "Day 3012 of 4936, 2016-05-05 00:00:00\n", - "Day 3013 of 4936, 2016-05-06 00:00:00\n", - "Day 3014 of 4936, 2016-05-09 00:00:00\n", - "Day 3015 of 4936, 2016-05-10 00:00:00\n", - "Day 3016 of 4936, 2016-05-11 00:00:00\n", - "Day 3017 of 4936, 2016-05-12 00:00:00\n", - "Day 3018 of 4936, 2016-05-13 00:00:00\n", - "Day 3019 of 4936, 2016-05-16 00:00:00\n", - "Day 3020 of 4936, 2016-05-17 00:00:00\n", - "Day 3021 of 4936, 2016-05-18 00:00:00\n", - "Day 3022 of 4936, 2016-05-19 00:00:00\n", - "Day 3023 of 4936, 2016-05-20 00:00:00\n", - "Day 3024 of 4936, 2016-05-23 00:00:00\n", - "Day 3025 of 4936, 2016-05-24 00:00:00\n", - "Day 3026 of 4936, 2016-05-25 00:00:00\n", - "Day 3027 of 4936, 2016-05-26 00:00:00\n", - "Day 3028 of 4936, 2016-05-27 00:00:00\n", - "Day 3029 of 4936, 2016-05-30 00:00:00\n", - "Day 3030 of 4936, 2016-05-31 00:00:00\n", - "Day 3031 of 4936, 2016-06-01 00:00:00\n", - "Day 3032 of 4936, 2016-06-02 00:00:00\n", - "Day 3033 of 4936, 2016-06-03 00:00:00\n", - "Day 3034 of 4936, 2016-06-06 00:00:00\n", - "Day 3035 of 4936, 2016-06-07 00:00:00\n", - "Day 3036 of 4936, 2016-06-08 00:00:00\n", - "Day 3037 of 4936, 2016-06-09 00:00:00\n", - "Day 3038 of 4936, 2016-06-10 00:00:00\n", - "Day 3039 of 4936, 2016-06-13 00:00:00\n", - "Day 3040 of 4936, 2016-06-14 00:00:00\n", - "Day 3041 of 4936, 2016-06-15 00:00:00\n", - "Day 3042 of 4936, 2016-06-16 00:00:00\n", - "Day 3043 of 4936, 2016-06-17 00:00:00\n", - "Day 3044 of 4936, 2016-06-20 00:00:00\n", - "Day 3045 of 4936, 2016-06-21 00:00:00\n", - "Day 3046 of 4936, 2016-06-22 00:00:00\n", - "Day 3047 of 4936, 2016-06-23 00:00:00\n", - "Day 3048 of 4936, 2016-06-24 00:00:00\n", - "Day 3049 of 4936, 2016-06-27 00:00:00\n", - "Day 3050 of 4936, 2016-06-28 00:00:00\n", - "Day 3051 of 4936, 2016-06-29 00:00:00\n", - "Day 3052 of 4936, 2016-06-30 00:00:00\n", - "Day 3053 of 4936, 2016-07-01 00:00:00\n", - "Day 3054 of 4936, 2016-07-04 00:00:00\n", - "Day 3055 of 4936, 2016-07-05 00:00:00\n", - "Day 3056 of 4936, 2016-07-06 00:00:00\n", - "Day 3057 of 4936, 2016-07-07 00:00:00\n", - "Day 3058 of 4936, 2016-07-08 00:00:00\n", - "Day 3059 of 4936, 2016-07-11 00:00:00\n", - "Day 3060 of 4936, 2016-07-12 00:00:00\n", - "Day 3061 of 4936, 2016-07-13 00:00:00\n", - "Day 3062 of 4936, 2016-07-14 00:00:00\n", - "Day 3063 of 4936, 2016-07-15 00:00:00\n", - "Day 3064 of 4936, 2016-07-18 00:00:00\n", - "Day 3065 of 4936, 2016-07-19 00:00:00\n", - "Day 3066 of 4936, 2016-07-20 00:00:00\n", - "Day 3067 of 4936, 2016-07-21 00:00:00\n", - "Day 3068 of 4936, 2016-07-22 00:00:00\n", - "Day 3069 of 4936, 2016-07-25 00:00:00\n", - "Day 3070 of 4936, 2016-07-26 00:00:00\n", - "Day 3071 of 4936, 2016-07-27 00:00:00\n", - "Day 3072 of 4936, 2016-07-28 00:00:00\n", - "Day 3073 of 4936, 2016-07-29 00:00:00\n", - "Day 3074 of 4936, 2016-08-01 00:00:00\n", - "Day 3075 of 4936, 2016-08-02 00:00:00\n", - "Day 3076 of 4936, 2016-08-03 00:00:00\n", - "Day 3077 of 4936, 2016-08-04 00:00:00\n", - "Day 3078 of 4936, 2016-08-05 00:00:00\n", - "Day 3079 of 4936, 2016-08-08 00:00:00\n", - "Day 3080 of 4936, 2016-08-09 00:00:00\n", - "Day 3081 of 4936, 2016-08-10 00:00:00\n", - "Day 3082 of 4936, 2016-08-11 00:00:00\n", - "Day 3083 of 4936, 2016-08-12 00:00:00\n", - "Day 3084 of 4936, 2016-08-15 00:00:00\n", - "Day 3085 of 4936, 2016-08-16 00:00:00\n", - "Day 3086 of 4936, 2016-08-17 00:00:00\n", - "Day 3087 of 4936, 2016-08-18 00:00:00\n", - "Day 3088 of 4936, 2016-08-19 00:00:00\n", - "Day 3089 of 4936, 2016-08-22 00:00:00\n", - "Day 3090 of 4936, 2016-08-23 00:00:00\n", - "Day 3091 of 4936, 2016-08-24 00:00:00\n", - "Day 3092 of 4936, 2016-08-25 00:00:00\n", - "Day 3093 of 4936, 2016-08-26 00:00:00\n", - "Day 3094 of 4936, 2016-08-29 00:00:00\n", - "Day 3095 of 4936, 2016-08-30 00:00:00\n", - "Day 3096 of 4936, 2016-08-31 00:00:00\n", - "Day 3097 of 4936, 2016-09-01 00:00:00\n", - "Day 3098 of 4936, 2016-09-02 00:00:00\n", - "Day 3099 of 4936, 2016-09-05 00:00:00\n", - "Day 3100 of 4936, 2016-09-06 00:00:00\n", - "Day 3101 of 4936, 2016-09-07 00:00:00\n", - "Day 3102 of 4936, 2016-09-08 00:00:00\n", - "Day 3103 of 4936, 2016-09-09 00:00:00\n", - "Day 3104 of 4936, 2016-09-12 00:00:00\n", - "Day 3105 of 4936, 2016-09-13 00:00:00\n", - "Day 3106 of 4936, 2016-09-14 00:00:00\n", - "Day 3107 of 4936, 2016-09-15 00:00:00\n", - "Day 3108 of 4936, 2016-09-16 00:00:00\n", - "Day 3109 of 4936, 2016-09-19 00:00:00\n", - "Day 3110 of 4936, 2016-09-20 00:00:00\n", - "Day 3111 of 4936, 2016-09-21 00:00:00\n", - "Day 3112 of 4936, 2016-09-22 00:00:00\n", - "Day 3113 of 4936, 2016-09-23 00:00:00\n", - "Day 3114 of 4936, 2016-09-26 00:00:00\n", - "Day 3115 of 4936, 2016-09-27 00:00:00\n", - "Day 3116 of 4936, 2016-09-28 00:00:00\n", - "Day 3117 of 4936, 2016-09-29 00:00:00\n", - "Day 3118 of 4936, 2016-09-30 00:00:00\n", - "Day 3119 of 4936, 2016-10-03 00:00:00\n", - "Day 3120 of 4936, 2016-10-04 00:00:00\n", - "Day 3121 of 4936, 2016-10-05 00:00:00\n", - "Day 3122 of 4936, 2016-10-06 00:00:00\n", - "Day 3123 of 4936, 2016-10-07 00:00:00\n", - "Day 3124 of 4936, 2016-10-10 00:00:00\n", - "Day 3125 of 4936, 2016-10-11 00:00:00\n", - "Day 3126 of 4936, 2016-10-12 00:00:00\n", - "Day 3127 of 4936, 2016-10-13 00:00:00\n", - "Day 3128 of 4936, 2016-10-14 00:00:00\n", - "Day 3129 of 4936, 2016-10-17 00:00:00\n", - "Day 3130 of 4936, 2016-10-18 00:00:00\n", - "Day 3131 of 4936, 2016-10-19 00:00:00\n", - "Day 3132 of 4936, 2016-10-20 00:00:00\n", - "Day 3133 of 4936, 2016-10-21 00:00:00\n", - "Day 3134 of 4936, 2016-10-24 00:00:00\n", - "Day 3135 of 4936, 2016-10-25 00:00:00\n", - "Day 3136 of 4936, 2016-10-26 00:00:00\n", - "Day 3137 of 4936, 2016-10-27 00:00:00\n", - "Day 3138 of 4936, 2016-10-28 00:00:00\n", - "Day 3139 of 4936, 2016-10-31 00:00:00\n", - "Day 3140 of 4936, 2016-11-01 00:00:00\n", - "Day 3141 of 4936, 2016-11-02 00:00:00\n", - "Day 3142 of 4936, 2016-11-03 00:00:00\n", - "Day 3143 of 4936, 2016-11-04 00:00:00\n", - "Day 3144 of 4936, 2016-11-07 00:00:00\n", - "Day 3145 of 4936, 2016-11-08 00:00:00\n", - "Day 3146 of 4936, 2016-11-09 00:00:00\n", - "Day 3147 of 4936, 2016-11-10 00:00:00\n", - "Day 3148 of 4936, 2016-11-11 00:00:00\n", - "Day 3149 of 4936, 2016-11-14 00:00:00\n", - "Day 3150 of 4936, 2016-11-15 00:00:00\n", - "Day 3151 of 4936, 2016-11-16 00:00:00\n", - "Day 3152 of 4936, 2016-11-17 00:00:00\n", - "Day 3153 of 4936, 2016-11-18 00:00:00\n", - "Day 3154 of 4936, 2016-11-21 00:00:00\n", - "Day 3155 of 4936, 2016-11-22 00:00:00\n", - "Day 3156 of 4936, 2016-11-23 00:00:00\n", - "Day 3157 of 4936, 2016-11-24 00:00:00\n", - "Day 3158 of 4936, 2016-11-25 00:00:00\n", - "Day 3159 of 4936, 2016-11-28 00:00:00\n", - "Day 3160 of 4936, 2016-11-29 00:00:00\n", - "Day 3161 of 4936, 2016-11-30 00:00:00\n", - "Day 3162 of 4936, 2016-12-01 00:00:00\n", - "Day 3163 of 4936, 2016-12-02 00:00:00\n", - "Day 3164 of 4936, 2016-12-05 00:00:00\n", - "Day 3165 of 4936, 2016-12-06 00:00:00\n", - "Day 3166 of 4936, 2016-12-07 00:00:00\n", - "Day 3167 of 4936, 2016-12-08 00:00:00\n", - "Day 3168 of 4936, 2016-12-09 00:00:00\n", - "Day 3169 of 4936, 2016-12-12 00:00:00\n", - "Day 3170 of 4936, 2016-12-13 00:00:00\n", - "Day 3171 of 4936, 2016-12-14 00:00:00\n", - "Day 3172 of 4936, 2016-12-15 00:00:00\n", - "Day 3173 of 4936, 2016-12-16 00:00:00\n", - "Day 3174 of 4936, 2016-12-19 00:00:00\n", - "Day 3175 of 4936, 2016-12-20 00:00:00\n", - "Day 3176 of 4936, 2016-12-21 00:00:00\n", - "Day 3177 of 4936, 2016-12-22 00:00:00\n", - "Day 3178 of 4936, 2016-12-23 00:00:00\n", - "Day 3179 of 4936, 2016-12-26 00:00:00\n", - "Day 3180 of 4936, 2016-12-27 00:00:00\n", - "Day 3181 of 4936, 2016-12-28 00:00:00\n", - "Day 3182 of 4936, 2016-12-29 00:00:00\n", - "Day 3183 of 4936, 2016-12-30 00:00:00\n", - "Day 3184 of 4936, 2017-01-02 00:00:00\n", - "Day 3185 of 4936, 2017-01-03 00:00:00\n", - "Day 3186 of 4936, 2017-01-04 00:00:00\n", - "Day 3187 of 4936, 2017-01-05 00:00:00\n", - "Day 3188 of 4936, 2017-01-06 00:00:00\n", - "Day 3189 of 4936, 2017-01-09 00:00:00\n", - "Day 3190 of 4936, 2017-01-10 00:00:00\n", - "Day 3191 of 4936, 2017-01-11 00:00:00\n", - "Day 3192 of 4936, 2017-01-12 00:00:00\n", - "Day 3193 of 4936, 2017-01-13 00:00:00\n", - "Day 3194 of 4936, 2017-01-16 00:00:00\n", - "Day 3195 of 4936, 2017-01-17 00:00:00\n", - "Day 3196 of 4936, 2017-01-18 00:00:00\n", - "Day 3197 of 4936, 2017-01-19 00:00:00\n", - "Day 3198 of 4936, 2017-01-20 00:00:00\n", - "Day 3199 of 4936, 2017-01-23 00:00:00\n", - "Day 3200 of 4936, 2017-01-24 00:00:00\n", - "Day 3201 of 4936, 2017-01-25 00:00:00\n", - "Day 3202 of 4936, 2017-01-26 00:00:00\n", - "Day 3203 of 4936, 2017-01-27 00:00:00\n", - "Day 3204 of 4936, 2017-01-30 00:00:00\n", - "Day 3205 of 4936, 2017-01-31 00:00:00\n", - "Day 3206 of 4936, 2017-02-01 00:00:00\n", - "Day 3207 of 4936, 2017-02-02 00:00:00\n", - "Day 3208 of 4936, 2017-02-03 00:00:00\n", - "Day 3209 of 4936, 2017-02-06 00:00:00\n", - "Day 3210 of 4936, 2017-02-07 00:00:00\n", - "Day 3211 of 4936, 2017-02-08 00:00:00\n", - "Day 3212 of 4936, 2017-02-09 00:00:00\n", - "Day 3213 of 4936, 2017-02-10 00:00:00\n", - "Day 3214 of 4936, 2017-02-13 00:00:00\n", - "Day 3215 of 4936, 2017-02-14 00:00:00\n", - "Day 3216 of 4936, 2017-02-15 00:00:00\n", - "Day 3217 of 4936, 2017-02-16 00:00:00\n", - "Day 3218 of 4936, 2017-02-17 00:00:00\n", - "Day 3219 of 4936, 2017-02-20 00:00:00\n", - "Day 3220 of 4936, 2017-02-21 00:00:00\n", - "Day 3221 of 4936, 2017-02-22 00:00:00\n", - "Day 3222 of 4936, 2017-02-23 00:00:00\n", - "Day 3223 of 4936, 2017-02-24 00:00:00\n", - "Day 3224 of 4936, 2017-02-27 00:00:00\n", - "Day 3225 of 4936, 2017-02-28 00:00:00\n", - "Day 3226 of 4936, 2017-03-01 00:00:00\n", - "Day 3227 of 4936, 2017-03-02 00:00:00\n", - "Day 3228 of 4936, 2017-03-03 00:00:00\n", - "Day 3229 of 4936, 2017-03-06 00:00:00\n", - "Day 3230 of 4936, 2017-03-07 00:00:00\n", - "Day 3231 of 4936, 2017-03-08 00:00:00\n", - "Day 3232 of 4936, 2017-03-09 00:00:00\n", - "Day 3233 of 4936, 2017-03-10 00:00:00\n", - "Day 3234 of 4936, 2017-03-13 00:00:00\n", - "Day 3235 of 4936, 2017-03-14 00:00:00\n", - "Day 3236 of 4936, 2017-03-15 00:00:00\n", - "Day 3237 of 4936, 2017-03-16 00:00:00\n", - "Day 3238 of 4936, 2017-03-17 00:00:00\n", - "Day 3239 of 4936, 2017-03-20 00:00:00\n", - "Day 3240 of 4936, 2017-03-21 00:00:00\n", - "Day 3241 of 4936, 2017-03-22 00:00:00\n", - "Day 3242 of 4936, 2017-03-23 00:00:00\n", - "Day 3243 of 4936, 2017-03-24 00:00:00\n", - "Day 3244 of 4936, 2017-03-27 00:00:00\n", - "Day 3245 of 4936, 2017-03-28 00:00:00\n", - "Day 3246 of 4936, 2017-03-29 00:00:00\n", - "Day 3247 of 4936, 2017-03-30 00:00:00\n", - "Day 3248 of 4936, 2017-03-31 00:00:00\n", - "Day 3249 of 4936, 2017-04-03 00:00:00\n", - "Day 3250 of 4936, 2017-04-04 00:00:00\n", - "Day 3251 of 4936, 2017-04-05 00:00:00\n", - "Day 3252 of 4936, 2017-04-06 00:00:00\n", - "Day 3253 of 4936, 2017-04-07 00:00:00\n", - "Day 3254 of 4936, 2017-04-10 00:00:00\n", - "Day 3255 of 4936, 2017-04-11 00:00:00\n", - "Day 3256 of 4936, 2017-04-12 00:00:00\n", - "Day 3257 of 4936, 2017-04-13 00:00:00\n", - "Day 3258 of 4936, 2017-04-14 00:00:00\n", - "Day 3259 of 4936, 2017-04-17 00:00:00\n", - "Day 3260 of 4936, 2017-04-18 00:00:00\n", - "Day 3261 of 4936, 2017-04-19 00:00:00\n", - "Day 3262 of 4936, 2017-04-20 00:00:00\n", - "Day 3263 of 4936, 2017-04-21 00:00:00\n", - "Day 3264 of 4936, 2017-04-24 00:00:00\n", - "Day 3265 of 4936, 2017-04-25 00:00:00\n", - "Day 3266 of 4936, 2017-04-26 00:00:00\n", - "Day 3267 of 4936, 2017-04-27 00:00:00\n", - "Day 3268 of 4936, 2017-04-28 00:00:00\n", - "Day 3269 of 4936, 2017-05-01 00:00:00\n", - "Day 3270 of 4936, 2017-05-02 00:00:00\n", - "Day 3271 of 4936, 2017-05-03 00:00:00\n", - "Day 3272 of 4936, 2017-05-04 00:00:00\n", - "Day 3273 of 4936, 2017-05-05 00:00:00\n", - "Day 3274 of 4936, 2017-05-08 00:00:00\n", - "Day 3275 of 4936, 2017-05-09 00:00:00\n", - "Day 3276 of 4936, 2017-05-10 00:00:00\n", - "Day 3277 of 4936, 2017-05-11 00:00:00\n", - "Day 3278 of 4936, 2017-05-12 00:00:00\n", - "Day 3279 of 4936, 2017-05-15 00:00:00\n", - "Day 3280 of 4936, 2017-05-16 00:00:00\n", - "Day 3281 of 4936, 2017-05-17 00:00:00\n", - "Day 3282 of 4936, 2017-05-18 00:00:00\n", - "Day 3283 of 4936, 2017-05-19 00:00:00\n", - "Day 3284 of 4936, 2017-05-22 00:00:00\n", - "Day 3285 of 4936, 2017-05-23 00:00:00\n", - "Day 3286 of 4936, 2017-05-24 00:00:00\n", - "Day 3287 of 4936, 2017-05-25 00:00:00\n", - "Day 3288 of 4936, 2017-05-26 00:00:00\n", - "Day 3289 of 4936, 2017-05-29 00:00:00\n", - "Day 3290 of 4936, 2017-05-30 00:00:00\n", - "Day 3291 of 4936, 2017-05-31 00:00:00\n", - "Day 3292 of 4936, 2017-06-01 00:00:00\n", - "Day 3293 of 4936, 2017-06-02 00:00:00\n", - "Day 3294 of 4936, 2017-06-05 00:00:00\n", - "Day 3295 of 4936, 2017-06-06 00:00:00\n", - "Day 3296 of 4936, 2017-06-07 00:00:00\n", - "Day 3297 of 4936, 2017-06-08 00:00:00\n", - "Day 3298 of 4936, 2017-06-09 00:00:00\n", - "Day 3299 of 4936, 2017-06-12 00:00:00\n", - "Day 3300 of 4936, 2017-06-13 00:00:00\n", - "Day 3301 of 4936, 2017-06-14 00:00:00\n", - "Day 3302 of 4936, 2017-06-15 00:00:00\n", - "Day 3303 of 4936, 2017-06-16 00:00:00\n", - "Day 3304 of 4936, 2017-06-19 00:00:00\n", - "Day 3305 of 4936, 2017-06-20 00:00:00\n", - "Day 3306 of 4936, 2017-06-21 00:00:00\n", - "Day 3307 of 4936, 2017-06-22 00:00:00\n", - "Day 3308 of 4936, 2017-06-23 00:00:00\n", - "Day 3309 of 4936, 2017-06-26 00:00:00\n", - "Day 3310 of 4936, 2017-06-27 00:00:00\n", - "Day 3311 of 4936, 2017-06-28 00:00:00\n", - "Day 3312 of 4936, 2017-06-29 00:00:00\n", - "Day 3313 of 4936, 2017-06-30 00:00:00\n", - "Day 3314 of 4936, 2017-07-03 00:00:00\n", - "Day 3315 of 4936, 2017-07-04 00:00:00\n", - "Day 3316 of 4936, 2017-07-05 00:00:00\n", - "Day 3317 of 4936, 2017-07-06 00:00:00\n", - "Day 3318 of 4936, 2017-07-07 00:00:00\n", - "Day 3319 of 4936, 2017-07-10 00:00:00\n", - "Day 3320 of 4936, 2017-07-11 00:00:00\n", - "Day 3321 of 4936, 2017-07-12 00:00:00\n", - "Day 3322 of 4936, 2017-07-13 00:00:00\n", - "Day 3323 of 4936, 2017-07-14 00:00:00\n", - "Day 3324 of 4936, 2017-07-17 00:00:00\n", - "Day 3325 of 4936, 2017-07-18 00:00:00\n", - "Day 3326 of 4936, 2017-07-19 00:00:00\n", - "Day 3327 of 4936, 2017-07-20 00:00:00\n", - "Day 3328 of 4936, 2017-07-21 00:00:00\n", - "Day 3329 of 4936, 2017-07-24 00:00:00\n", - "Day 3330 of 4936, 2017-07-25 00:00:00\n", - "Day 3331 of 4936, 2017-07-26 00:00:00\n", - "Day 3332 of 4936, 2017-07-27 00:00:00\n", - "Day 3333 of 4936, 2017-07-28 00:00:00\n", - "Day 3334 of 4936, 2017-07-31 00:00:00\n", - "Day 3335 of 4936, 2017-08-01 00:00:00\n", - "Day 3336 of 4936, 2017-08-02 00:00:00\n", - "Day 3337 of 4936, 2017-08-03 00:00:00\n", - "Day 3338 of 4936, 2017-08-04 00:00:00\n", - "Day 3339 of 4936, 2017-08-07 00:00:00\n", - "Day 3340 of 4936, 2017-08-08 00:00:00\n", - "Day 3341 of 4936, 2017-08-09 00:00:00\n", - "Day 3342 of 4936, 2017-08-10 00:00:00\n", - "Day 3343 of 4936, 2017-08-11 00:00:00\n", - "Day 3344 of 4936, 2017-08-14 00:00:00\n", - "Day 3345 of 4936, 2017-08-15 00:00:00\n", - "Day 3346 of 4936, 2017-08-16 00:00:00\n", - "Day 3347 of 4936, 2017-08-17 00:00:00\n", - "Day 3348 of 4936, 2017-08-18 00:00:00\n", - "Day 3349 of 4936, 2017-08-21 00:00:00\n", - "Day 3350 of 4936, 2017-08-22 00:00:00\n", - "Day 3351 of 4936, 2017-08-23 00:00:00\n", - "Day 3352 of 4936, 2017-08-24 00:00:00\n", - "Day 3353 of 4936, 2017-08-25 00:00:00\n", - "Day 3354 of 4936, 2017-08-28 00:00:00\n", - "Day 3355 of 4936, 2017-08-29 00:00:00\n", - "Day 3356 of 4936, 2017-08-30 00:00:00\n", - "Day 3357 of 4936, 2017-08-31 00:00:00\n", - "Day 3358 of 4936, 2017-09-01 00:00:00\n", - "Day 3359 of 4936, 2017-09-04 00:00:00\n", - "Day 3360 of 4936, 2017-09-05 00:00:00\n", - "Day 3361 of 4936, 2017-09-06 00:00:00\n", - "Day 3362 of 4936, 2017-09-07 00:00:00\n", - "Day 3363 of 4936, 2017-09-08 00:00:00\n", - "Day 3364 of 4936, 2017-09-11 00:00:00\n", - "Day 3365 of 4936, 2017-09-12 00:00:00\n", - "Day 3366 of 4936, 2017-09-13 00:00:00\n", - "Day 3367 of 4936, 2017-09-14 00:00:00\n", - "Day 3368 of 4936, 2017-09-15 00:00:00\n", - "Day 3369 of 4936, 2017-09-18 00:00:00\n", - "Day 3370 of 4936, 2017-09-19 00:00:00\n", - "Day 3371 of 4936, 2017-09-20 00:00:00\n", - "Day 3372 of 4936, 2017-09-21 00:00:00\n", - "Day 3373 of 4936, 2017-09-22 00:00:00\n", - "Day 3374 of 4936, 2017-09-25 00:00:00\n", - "Day 3375 of 4936, 2017-09-26 00:00:00\n", - "Day 3376 of 4936, 2017-09-27 00:00:00\n", - "Day 3377 of 4936, 2017-09-28 00:00:00\n", - "Day 3378 of 4936, 2017-09-29 00:00:00\n", - "Day 3379 of 4936, 2017-10-02 00:00:00\n", - "Day 3380 of 4936, 2017-10-03 00:00:00\n", - "Day 3381 of 4936, 2017-10-04 00:00:00\n", - "Day 3382 of 4936, 2017-10-05 00:00:00\n", - "Day 3383 of 4936, 2017-10-06 00:00:00\n", - "Day 3384 of 4936, 2017-10-09 00:00:00\n", - "Day 3385 of 4936, 2017-10-10 00:00:00\n", - "Day 3386 of 4936, 2017-10-11 00:00:00\n", - "Day 3387 of 4936, 2017-10-12 00:00:00\n", - "Day 3388 of 4936, 2017-10-13 00:00:00\n", - "Day 3389 of 4936, 2017-10-16 00:00:00\n", - "Day 3390 of 4936, 2017-10-17 00:00:00\n", - "Day 3391 of 4936, 2017-10-18 00:00:00\n", - "Day 3392 of 4936, 2017-10-19 00:00:00\n", - "Day 3393 of 4936, 2017-10-20 00:00:00\n", - "Day 3394 of 4936, 2017-10-23 00:00:00\n", - "Day 3395 of 4936, 2017-10-24 00:00:00\n", - "Day 3396 of 4936, 2017-10-25 00:00:00\n", - "Day 3397 of 4936, 2017-10-26 00:00:00\n", - "Day 3398 of 4936, 2017-10-27 00:00:00\n", - "Day 3399 of 4936, 2017-10-30 00:00:00\n", - "Day 3400 of 4936, 2017-10-31 00:00:00\n", - "Day 3401 of 4936, 2017-11-01 00:00:00\n", - "Day 3402 of 4936, 2017-11-02 00:00:00\n", - "Day 3403 of 4936, 2017-11-03 00:00:00\n", - "Day 3404 of 4936, 2017-11-06 00:00:00\n", - "Day 3405 of 4936, 2017-11-07 00:00:00\n", - "Day 3406 of 4936, 2017-11-08 00:00:00\n", - "Day 3407 of 4936, 2017-11-09 00:00:00\n", - "Day 3408 of 4936, 2017-11-10 00:00:00\n", - "Day 3409 of 4936, 2017-11-13 00:00:00\n", - "Day 3410 of 4936, 2017-11-14 00:00:00\n", - "Day 3411 of 4936, 2017-11-15 00:00:00\n", - "Day 3412 of 4936, 2017-11-16 00:00:00\n", - "Day 3413 of 4936, 2017-11-17 00:00:00\n", - "Day 3414 of 4936, 2017-11-20 00:00:00\n", - "Day 3415 of 4936, 2017-11-21 00:00:00\n", - "Day 3416 of 4936, 2017-11-22 00:00:00\n", - "Day 3417 of 4936, 2017-11-23 00:00:00\n", - "Day 3418 of 4936, 2017-11-24 00:00:00\n", - "Day 3419 of 4936, 2017-11-27 00:00:00\n", - "Day 3420 of 4936, 2017-11-28 00:00:00\n", - "Day 3421 of 4936, 2017-11-29 00:00:00\n", - "Day 3422 of 4936, 2017-11-30 00:00:00\n", - "Day 3423 of 4936, 2017-12-01 00:00:00\n", - "Day 3424 of 4936, 2017-12-04 00:00:00\n", - "Day 3425 of 4936, 2017-12-05 00:00:00\n", - "Day 3426 of 4936, 2017-12-06 00:00:00\n", - "Day 3427 of 4936, 2017-12-07 00:00:00\n", - "Day 3428 of 4936, 2017-12-08 00:00:00\n", - "Day 3429 of 4936, 2017-12-11 00:00:00\n", - "Day 3430 of 4936, 2017-12-12 00:00:00\n", - "Day 3431 of 4936, 2017-12-13 00:00:00\n", - "Day 3432 of 4936, 2017-12-14 00:00:00\n", - "Day 3433 of 4936, 2017-12-15 00:00:00\n", - "Day 3434 of 4936, 2017-12-18 00:00:00\n", - "Day 3435 of 4936, 2017-12-19 00:00:00\n", - "Day 3436 of 4936, 2017-12-20 00:00:00\n", - "Day 3437 of 4936, 2017-12-21 00:00:00\n", - "Day 3438 of 4936, 2017-12-22 00:00:00\n", - "Day 3439 of 4936, 2017-12-25 00:00:00\n", - "Day 3440 of 4936, 2017-12-26 00:00:00\n", - "Day 3441 of 4936, 2017-12-27 00:00:00\n", - "Day 3442 of 4936, 2017-12-28 00:00:00\n", - "Day 3443 of 4936, 2017-12-29 00:00:00\n", - "Day 3444 of 4936, 2018-01-01 00:00:00\n", - "Day 3445 of 4936, 2018-01-02 00:00:00\n", - "Day 3446 of 4936, 2018-01-03 00:00:00\n", - "Day 3447 of 4936, 2018-01-04 00:00:00\n", - "Day 3448 of 4936, 2018-01-05 00:00:00\n", - "Day 3449 of 4936, 2018-01-08 00:00:00\n", - "Day 3450 of 4936, 2018-01-09 00:00:00\n", - "Day 3451 of 4936, 2018-01-10 00:00:00\n", - "Day 3452 of 4936, 2018-01-11 00:00:00\n", - "Day 3453 of 4936, 2018-01-12 00:00:00\n", - "Day 3454 of 4936, 2018-01-15 00:00:00\n", - "Day 3455 of 4936, 2018-01-16 00:00:00\n", - "Day 3456 of 4936, 2018-01-17 00:00:00\n", - "Day 3457 of 4936, 2018-01-18 00:00:00\n", - "Day 3458 of 4936, 2018-01-19 00:00:00\n", - "Day 3459 of 4936, 2018-01-22 00:00:00\n", - "Day 3460 of 4936, 2018-01-23 00:00:00\n", - "Day 3461 of 4936, 2018-01-24 00:00:00\n", - "Day 3462 of 4936, 2018-01-25 00:00:00\n", - "Day 3463 of 4936, 2018-01-26 00:00:00\n", - "Day 3464 of 4936, 2018-01-29 00:00:00\n", - "Day 3465 of 4936, 2018-01-30 00:00:00\n", - "Day 3466 of 4936, 2018-01-31 00:00:00\n", - "Day 3467 of 4936, 2018-02-01 00:00:00\n", - "Day 3468 of 4936, 2018-02-02 00:00:00\n", - "Day 3469 of 4936, 2018-02-05 00:00:00\n", - "Day 3470 of 4936, 2018-02-06 00:00:00\n", - "Day 3471 of 4936, 2018-02-07 00:00:00\n", - "Day 3472 of 4936, 2018-02-08 00:00:00\n", - "Day 3473 of 4936, 2018-02-09 00:00:00\n", - "Day 3474 of 4936, 2018-02-12 00:00:00\n", - "Day 3475 of 4936, 2018-02-13 00:00:00\n", - "Day 3476 of 4936, 2018-02-14 00:00:00\n", - "Day 3477 of 4936, 2018-02-15 00:00:00\n", - "Day 3478 of 4936, 2018-02-16 00:00:00\n", - "Day 3479 of 4936, 2018-02-19 00:00:00\n", - "Day 3480 of 4936, 2018-02-20 00:00:00\n", - "Day 3481 of 4936, 2018-02-21 00:00:00\n", - "Day 3482 of 4936, 2018-02-22 00:00:00\n", - "Day 3483 of 4936, 2018-02-23 00:00:00\n", - "Day 3484 of 4936, 2018-02-26 00:00:00\n", - "Day 3485 of 4936, 2018-02-27 00:00:00\n", - "Day 3486 of 4936, 2018-02-28 00:00:00\n", - "Day 3487 of 4936, 2018-03-01 00:00:00\n", - "Day 3488 of 4936, 2018-03-02 00:00:00\n", - "Day 3489 of 4936, 2018-03-05 00:00:00\n", - "Day 3490 of 4936, 2018-03-06 00:00:00\n", - "Day 3491 of 4936, 2018-03-07 00:00:00\n", - "Day 3492 of 4936, 2018-03-08 00:00:00\n", - "Day 3493 of 4936, 2018-03-09 00:00:00\n", - "Day 3494 of 4936, 2018-03-12 00:00:00\n", - "Day 3495 of 4936, 2018-03-13 00:00:00\n", - "Day 3496 of 4936, 2018-03-14 00:00:00\n", - "Day 3497 of 4936, 2018-03-15 00:00:00\n", - "Day 3498 of 4936, 2018-03-16 00:00:00\n", - "Day 3499 of 4936, 2018-03-19 00:00:00\n", - "Day 3500 of 4936, 2018-03-20 00:00:00\n", - "Day 3501 of 4936, 2018-03-21 00:00:00\n", - "Day 3502 of 4936, 2018-03-22 00:00:00\n", - "Day 3503 of 4936, 2018-03-23 00:00:00\n", - "Day 3504 of 4936, 2018-03-26 00:00:00\n", - "Day 3505 of 4936, 2018-03-27 00:00:00\n", - "Day 3506 of 4936, 2018-03-28 00:00:00\n", - "Day 3507 of 4936, 2018-03-29 00:00:00\n", - "Day 3508 of 4936, 2018-03-30 00:00:00\n", - "Day 3509 of 4936, 2018-04-02 00:00:00\n", - "Day 3510 of 4936, 2018-04-03 00:00:00\n", - "Day 3511 of 4936, 2018-04-04 00:00:00\n", - "Day 3512 of 4936, 2018-04-05 00:00:00\n", - "Day 3513 of 4936, 2018-04-06 00:00:00\n", - "Day 3514 of 4936, 2018-04-09 00:00:00\n", - "Day 3515 of 4936, 2018-04-10 00:00:00\n", - "Day 3516 of 4936, 2018-04-11 00:00:00\n", - "Day 3517 of 4936, 2018-04-12 00:00:00\n", - "Day 3518 of 4936, 2018-04-13 00:00:00\n", - "Day 3519 of 4936, 2018-04-16 00:00:00\n", - "Day 3520 of 4936, 2018-04-17 00:00:00\n", - "Day 3521 of 4936, 2018-04-18 00:00:00\n", - "Day 3522 of 4936, 2018-04-19 00:00:00\n", - "Day 3523 of 4936, 2018-04-20 00:00:00\n", - "Day 3524 of 4936, 2018-04-23 00:00:00\n", - "Day 3525 of 4936, 2018-04-24 00:00:00\n", - "Day 3526 of 4936, 2018-04-25 00:00:00\n", - "Day 3527 of 4936, 2018-04-26 00:00:00\n", - "Day 3528 of 4936, 2018-04-27 00:00:00\n", - "Day 3529 of 4936, 2018-04-30 00:00:00\n", - "Day 3530 of 4936, 2018-05-01 00:00:00\n", - "Day 3531 of 4936, 2018-05-02 00:00:00\n", - "Day 3532 of 4936, 2018-05-03 00:00:00\n", - "Day 3533 of 4936, 2018-05-04 00:00:00\n", - "Day 3534 of 4936, 2018-05-07 00:00:00\n", - "Day 3535 of 4936, 2018-05-08 00:00:00\n", - "Day 3536 of 4936, 2018-05-09 00:00:00\n", - "Day 3537 of 4936, 2018-05-10 00:00:00\n", - "Day 3538 of 4936, 2018-05-11 00:00:00\n", - "Day 3539 of 4936, 2018-05-14 00:00:00\n", - "Day 3540 of 4936, 2018-05-15 00:00:00\n", - "Day 3541 of 4936, 2018-05-16 00:00:00\n", - "Day 3542 of 4936, 2018-05-17 00:00:00\n", - "Day 3543 of 4936, 2018-05-18 00:00:00\n", - "Day 3544 of 4936, 2018-05-21 00:00:00\n", - "Day 3545 of 4936, 2018-05-22 00:00:00\n", - "Day 3546 of 4936, 2018-05-23 00:00:00\n", - "Day 3547 of 4936, 2018-05-24 00:00:00\n", - "Day 3548 of 4936, 2018-05-25 00:00:00\n", - "Day 3549 of 4936, 2018-05-28 00:00:00\n", - "Day 3550 of 4936, 2018-05-29 00:00:00\n", - "Day 3551 of 4936, 2018-05-30 00:00:00\n", - "Day 3552 of 4936, 2018-05-31 00:00:00\n", - "Day 3553 of 4936, 2018-06-01 00:00:00\n", - "Day 3554 of 4936, 2018-06-04 00:00:00\n", - "Day 3555 of 4936, 2018-06-05 00:00:00\n", - "Day 3556 of 4936, 2018-06-06 00:00:00\n", - "Day 3557 of 4936, 2018-06-07 00:00:00\n", - "Day 3558 of 4936, 2018-06-08 00:00:00\n", - "Day 3559 of 4936, 2018-06-11 00:00:00\n", - "Day 3560 of 4936, 2018-06-12 00:00:00\n", - "Day 3561 of 4936, 2018-06-13 00:00:00\n", - "Day 3562 of 4936, 2018-06-14 00:00:00\n", - "Day 3563 of 4936, 2018-06-15 00:00:00\n", - "Day 3564 of 4936, 2018-06-18 00:00:00\n", - "Day 3565 of 4936, 2018-06-19 00:00:00\n", - "Day 3566 of 4936, 2018-06-20 00:00:00\n", - "Day 3567 of 4936, 2018-06-21 00:00:00\n", - "Day 3568 of 4936, 2018-06-22 00:00:00\n", - "Day 3569 of 4936, 2018-06-25 00:00:00\n", - "Day 3570 of 4936, 2018-06-26 00:00:00\n", - "Day 3571 of 4936, 2018-06-27 00:00:00\n", - "Day 3572 of 4936, 2018-06-28 00:00:00\n", - "Day 3573 of 4936, 2018-06-29 00:00:00\n", - "Day 3574 of 4936, 2018-07-02 00:00:00\n", - "Day 3575 of 4936, 2018-07-03 00:00:00\n", - "Day 3576 of 4936, 2018-07-04 00:00:00\n", - "Day 3577 of 4936, 2018-07-05 00:00:00\n", - "Day 3578 of 4936, 2018-07-06 00:00:00\n", - "Day 3579 of 4936, 2018-07-09 00:00:00\n", - "Day 3580 of 4936, 2018-07-10 00:00:00\n", - "Day 3581 of 4936, 2018-07-11 00:00:00\n", - "Day 3582 of 4936, 2018-07-12 00:00:00\n", - "Day 3583 of 4936, 2018-07-13 00:00:00\n", - "Day 3584 of 4936, 2018-07-16 00:00:00\n", - "Day 3585 of 4936, 2018-07-17 00:00:00\n", - "Day 3586 of 4936, 2018-07-18 00:00:00\n", - "Day 3587 of 4936, 2018-07-19 00:00:00\n", - "Day 3588 of 4936, 2018-07-20 00:00:00\n", - "Day 3589 of 4936, 2018-07-23 00:00:00\n", - "Day 3590 of 4936, 2018-07-24 00:00:00\n", - "Day 3591 of 4936, 2018-07-25 00:00:00\n", - "Day 3592 of 4936, 2018-07-26 00:00:00\n", - "Day 3593 of 4936, 2018-07-27 00:00:00\n", - "Day 3594 of 4936, 2018-07-30 00:00:00\n", - "Day 3595 of 4936, 2018-07-31 00:00:00\n", - "Day 3596 of 4936, 2018-08-01 00:00:00\n", - "Day 3597 of 4936, 2018-08-02 00:00:00\n", - "Day 3598 of 4936, 2018-08-03 00:00:00\n", - "Day 3599 of 4936, 2018-08-06 00:00:00\n", - "Day 3600 of 4936, 2018-08-07 00:00:00\n", - "Day 3601 of 4936, 2018-08-08 00:00:00\n", - "Day 3602 of 4936, 2018-08-09 00:00:00\n", - "Day 3603 of 4936, 2018-08-10 00:00:00\n", - "Day 3604 of 4936, 2018-08-13 00:00:00\n", - "Day 3605 of 4936, 2018-08-14 00:00:00\n", - "Day 3606 of 4936, 2018-08-15 00:00:00\n", - "Day 3607 of 4936, 2018-08-16 00:00:00\n", - "Day 3608 of 4936, 2018-08-17 00:00:00\n", - "Day 3609 of 4936, 2018-08-20 00:00:00\n", - "Day 3610 of 4936, 2018-08-21 00:00:00\n", - "Day 3611 of 4936, 2018-08-22 00:00:00\n", - "Day 3612 of 4936, 2018-08-23 00:00:00\n", - "Day 3613 of 4936, 2018-08-24 00:00:00\n", - "Day 3614 of 4936, 2018-08-27 00:00:00\n", - "Day 3615 of 4936, 2018-08-28 00:00:00\n", - "Day 3616 of 4936, 2018-08-29 00:00:00\n", - "Day 3617 of 4936, 2018-08-30 00:00:00\n", - "Day 3618 of 4936, 2018-08-31 00:00:00\n", - "Day 3619 of 4936, 2018-09-03 00:00:00\n", - "Day 3620 of 4936, 2018-09-04 00:00:00\n", - "Day 3621 of 4936, 2018-09-05 00:00:00\n", - "Day 3622 of 4936, 2018-09-06 00:00:00\n", - "Day 3623 of 4936, 2018-09-07 00:00:00\n", - "Day 3624 of 4936, 2018-09-10 00:00:00\n", - "Day 3625 of 4936, 2018-09-11 00:00:00\n", - "Day 3626 of 4936, 2018-09-12 00:00:00\n", - "Day 3627 of 4936, 2018-09-13 00:00:00\n", - "Day 3628 of 4936, 2018-09-14 00:00:00\n", - "Day 3629 of 4936, 2018-09-17 00:00:00\n", - "Day 3630 of 4936, 2018-09-18 00:00:00\n", - "Day 3631 of 4936, 2018-09-19 00:00:00\n", - "Day 3632 of 4936, 2018-09-20 00:00:00\n", - "Day 3633 of 4936, 2018-09-21 00:00:00\n", - "Day 3634 of 4936, 2018-09-24 00:00:00\n", - "Day 3635 of 4936, 2018-09-25 00:00:00\n", - "Day 3636 of 4936, 2018-09-26 00:00:00\n", - "Day 3637 of 4936, 2018-09-27 00:00:00\n", - "Day 3638 of 4936, 2018-09-28 00:00:00\n", - "Day 3639 of 4936, 2018-10-01 00:00:00\n", - "Day 3640 of 4936, 2018-10-02 00:00:00\n", - "Day 3641 of 4936, 2018-10-03 00:00:00\n", - "Day 3642 of 4936, 2018-10-04 00:00:00\n", - "Day 3643 of 4936, 2018-10-05 00:00:00\n", - "Day 3644 of 4936, 2018-10-08 00:00:00\n", - "Day 3645 of 4936, 2018-10-09 00:00:00\n", - "Day 3646 of 4936, 2018-10-10 00:00:00\n", - "Day 3647 of 4936, 2018-10-11 00:00:00\n", - "Day 3648 of 4936, 2018-10-12 00:00:00\n", - "Day 3649 of 4936, 2018-10-15 00:00:00\n", - "Day 3650 of 4936, 2018-10-16 00:00:00\n", - "Day 3651 of 4936, 2018-10-17 00:00:00\n", - "Day 3652 of 4936, 2018-10-18 00:00:00\n", - "Day 3653 of 4936, 2018-10-19 00:00:00\n", - "Day 3654 of 4936, 2018-10-22 00:00:00\n", - "Day 3655 of 4936, 2018-10-23 00:00:00\n", - "Day 3656 of 4936, 2018-10-24 00:00:00\n", - "Day 3657 of 4936, 2018-10-25 00:00:00\n", - "Day 3658 of 4936, 2018-10-26 00:00:00\n", - "Day 3659 of 4936, 2018-10-29 00:00:00\n", - "Day 3660 of 4936, 2018-10-30 00:00:00\n", - "Day 3661 of 4936, 2018-10-31 00:00:00\n", - "Day 3662 of 4936, 2018-11-01 00:00:00\n", - "Day 3663 of 4936, 2018-11-02 00:00:00\n", - "Day 3664 of 4936, 2018-11-05 00:00:00\n", - "Day 3665 of 4936, 2018-11-06 00:00:00\n", - "Day 3666 of 4936, 2018-11-07 00:00:00\n", - "Day 3667 of 4936, 2018-11-08 00:00:00\n", - "Day 3668 of 4936, 2018-11-09 00:00:00\n", - "Day 3669 of 4936, 2018-11-12 00:00:00\n", - "Day 3670 of 4936, 2018-11-13 00:00:00\n", - "Day 3671 of 4936, 2018-11-14 00:00:00\n", - "Day 3672 of 4936, 2018-11-15 00:00:00\n", - "Day 3673 of 4936, 2018-11-16 00:00:00\n", - "Day 3674 of 4936, 2018-11-19 00:00:00\n", - "Day 3675 of 4936, 2018-11-20 00:00:00\n", - "Day 3676 of 4936, 2018-11-21 00:00:00\n", - "Day 3677 of 4936, 2018-11-22 00:00:00\n", - "Day 3678 of 4936, 2018-11-23 00:00:00\n", - "Day 3679 of 4936, 2018-11-26 00:00:00\n", - "Day 3680 of 4936, 2018-11-27 00:00:00\n", - "Day 3681 of 4936, 2018-11-28 00:00:00\n", - "Day 3682 of 4936, 2018-11-29 00:00:00\n", - "Day 3683 of 4936, 2018-11-30 00:00:00\n", - "Day 3684 of 4936, 2018-12-03 00:00:00\n", - "Day 3685 of 4936, 2018-12-04 00:00:00\n", - "Day 3686 of 4936, 2018-12-05 00:00:00\n", - "Day 3687 of 4936, 2018-12-06 00:00:00\n", - "Day 3688 of 4936, 2018-12-07 00:00:00\n", - "Day 3689 of 4936, 2018-12-10 00:00:00\n", - "Day 3690 of 4936, 2018-12-11 00:00:00\n", - "Day 3691 of 4936, 2018-12-12 00:00:00\n", - "Day 3692 of 4936, 2018-12-13 00:00:00\n", - "Day 3693 of 4936, 2018-12-14 00:00:00\n", - "Day 3694 of 4936, 2018-12-17 00:00:00\n", - "Day 3695 of 4936, 2018-12-18 00:00:00\n", - "Day 3696 of 4936, 2018-12-19 00:00:00\n", - "Day 3697 of 4936, 2018-12-20 00:00:00\n", - "Day 3698 of 4936, 2018-12-21 00:00:00\n", - "Day 3699 of 4936, 2018-12-24 00:00:00\n", - "Day 3700 of 4936, 2018-12-25 00:00:00\n", - "Day 3701 of 4936, 2018-12-26 00:00:00\n", - "Day 3702 of 4936, 2018-12-27 00:00:00\n", - "Day 3703 of 4936, 2018-12-28 00:00:00\n", - "Day 3704 of 4936, 2018-12-31 00:00:00\n", - "Day 3705 of 4936, 2019-01-01 00:00:00\n", - "Day 3706 of 4936, 2019-01-02 00:00:00\n", - "Day 3707 of 4936, 2019-01-03 00:00:00\n", - "Day 3708 of 4936, 2019-01-04 00:00:00\n", - "Day 3709 of 4936, 2019-01-07 00:00:00\n", - "Day 3710 of 4936, 2019-01-08 00:00:00\n", - "Day 3711 of 4936, 2019-01-09 00:00:00\n", - "Day 3712 of 4936, 2019-01-10 00:00:00\n", - "Day 3713 of 4936, 2019-01-11 00:00:00\n", - "Day 3714 of 4936, 2019-01-14 00:00:00\n", - "Day 3715 of 4936, 2019-01-15 00:00:00\n", - "Day 3716 of 4936, 2019-01-16 00:00:00\n", - "Day 3717 of 4936, 2019-01-17 00:00:00\n", - "Day 3718 of 4936, 2019-01-18 00:00:00\n", - "Day 3719 of 4936, 2019-01-21 00:00:00\n", - "Day 3720 of 4936, 2019-01-22 00:00:00\n", - "Day 3721 of 4936, 2019-01-23 00:00:00\n", - "Day 3722 of 4936, 2019-01-24 00:00:00\n", - "Day 3723 of 4936, 2019-01-25 00:00:00\n", - "Day 3724 of 4936, 2019-01-28 00:00:00\n", - "Day 3725 of 4936, 2019-01-29 00:00:00\n", - "Day 3726 of 4936, 2019-01-30 00:00:00\n", - "Day 3727 of 4936, 2019-01-31 00:00:00\n", - "Day 3728 of 4936, 2019-02-01 00:00:00\n", - "Day 3729 of 4936, 2019-02-04 00:00:00\n", - "Day 3730 of 4936, 2019-02-05 00:00:00\n", - "Day 3731 of 4936, 2019-02-06 00:00:00\n", - "Day 3732 of 4936, 2019-02-07 00:00:00\n", - "Day 3733 of 4936, 2019-02-08 00:00:00\n", - "Day 3734 of 4936, 2019-02-11 00:00:00\n", - "Day 3735 of 4936, 2019-02-12 00:00:00\n", - "Day 3736 of 4936, 2019-02-13 00:00:00\n", - "Day 3737 of 4936, 2019-02-14 00:00:00\n", - "Day 3738 of 4936, 2019-02-15 00:00:00\n", - "Day 3739 of 4936, 2019-02-18 00:00:00\n", - "Day 3740 of 4936, 2019-02-19 00:00:00\n", - "Day 3741 of 4936, 2019-02-20 00:00:00\n", - "Day 3742 of 4936, 2019-02-21 00:00:00\n", - "Day 3743 of 4936, 2019-02-22 00:00:00\n", - "Day 3744 of 4936, 2019-02-25 00:00:00\n", - "Day 3745 of 4936, 2019-02-26 00:00:00\n", - "Day 3746 of 4936, 2019-02-27 00:00:00\n", - "Day 3747 of 4936, 2019-02-28 00:00:00\n", - "Day 3748 of 4936, 2019-03-01 00:00:00\n", - "Day 3749 of 4936, 2019-03-04 00:00:00\n", - "Day 3750 of 4936, 2019-03-05 00:00:00\n", - "Day 3751 of 4936, 2019-03-06 00:00:00\n", - "Day 3752 of 4936, 2019-03-07 00:00:00\n", - "Day 3753 of 4936, 2019-03-08 00:00:00\n", - "Day 3754 of 4936, 2019-03-11 00:00:00\n", - "Day 3755 of 4936, 2019-03-12 00:00:00\n", - "Day 3756 of 4936, 2019-03-13 00:00:00\n", - "Day 3757 of 4936, 2019-03-14 00:00:00\n", - "Day 3758 of 4936, 2019-03-15 00:00:00\n", - "Day 3759 of 4936, 2019-03-18 00:00:00\n", - "Day 3760 of 4936, 2019-03-19 00:00:00\n", - "Day 3761 of 4936, 2019-03-20 00:00:00\n", - "Day 3762 of 4936, 2019-03-21 00:00:00\n", - "Day 3763 of 4936, 2019-03-22 00:00:00\n", - "Day 3764 of 4936, 2019-03-25 00:00:00\n", - "Day 3765 of 4936, 2019-03-26 00:00:00\n", - "Day 3766 of 4936, 2019-03-27 00:00:00\n", - "Day 3767 of 4936, 2019-03-28 00:00:00\n", - "Day 3768 of 4936, 2019-03-29 00:00:00\n", - "Day 3769 of 4936, 2019-04-01 00:00:00\n", - "Day 3770 of 4936, 2019-04-02 00:00:00\n", - "Day 3771 of 4936, 2019-04-03 00:00:00\n", - "Day 3772 of 4936, 2019-04-04 00:00:00\n", - "Day 3773 of 4936, 2019-04-05 00:00:00\n", - "Day 3774 of 4936, 2019-04-08 00:00:00\n", - "Day 3775 of 4936, 2019-04-09 00:00:00\n", - "Day 3776 of 4936, 2019-04-10 00:00:00\n", - "Day 3777 of 4936, 2019-04-11 00:00:00\n", - "Day 3778 of 4936, 2019-04-12 00:00:00\n", - "Day 3779 of 4936, 2019-04-15 00:00:00\n", - "Day 3780 of 4936, 2019-04-16 00:00:00\n", - "Day 3781 of 4936, 2019-04-17 00:00:00\n", - "Day 3782 of 4936, 2019-04-18 00:00:00\n", - "Day 3783 of 4936, 2019-04-19 00:00:00\n", - "Day 3784 of 4936, 2019-04-22 00:00:00\n", - "Day 3785 of 4936, 2019-04-23 00:00:00\n", - "Day 3786 of 4936, 2019-04-24 00:00:00\n", - "Day 3787 of 4936, 2019-04-25 00:00:00\n", - "Day 3788 of 4936, 2019-04-26 00:00:00\n", - "Day 3789 of 4936, 2019-04-29 00:00:00\n", - "Day 3790 of 4936, 2019-04-30 00:00:00\n", - "Day 3791 of 4936, 2019-05-01 00:00:00\n", - "Day 3792 of 4936, 2019-05-02 00:00:00\n", - "Day 3793 of 4936, 2019-05-03 00:00:00\n", - "Day 3794 of 4936, 2019-05-06 00:00:00\n", - "Day 3795 of 4936, 2019-05-07 00:00:00\n", - "Day 3796 of 4936, 2019-05-08 00:00:00\n", - "Day 3797 of 4936, 2019-05-09 00:00:00\n", - "Day 3798 of 4936, 2019-05-10 00:00:00\n", - "Day 3799 of 4936, 2019-05-13 00:00:00\n", - "Day 3800 of 4936, 2019-05-14 00:00:00\n", - "Day 3801 of 4936, 2019-05-15 00:00:00\n", - "Day 3802 of 4936, 2019-05-16 00:00:00\n", - "Day 3803 of 4936, 2019-05-17 00:00:00\n", - "Day 3804 of 4936, 2019-05-20 00:00:00\n", - "Day 3805 of 4936, 2019-05-21 00:00:00\n", - "Day 3806 of 4936, 2019-05-22 00:00:00\n", - "Day 3807 of 4936, 2019-05-23 00:00:00\n", - "Day 3808 of 4936, 2019-05-24 00:00:00\n", - "Day 3809 of 4936, 2019-05-27 00:00:00\n", - "Day 3810 of 4936, 2019-05-28 00:00:00\n", - "Day 3811 of 4936, 2019-05-29 00:00:00\n", - "Day 3812 of 4936, 2019-05-30 00:00:00\n", - "Day 3813 of 4936, 2019-05-31 00:00:00\n", - "Day 3814 of 4936, 2019-06-03 00:00:00\n", - "Day 3815 of 4936, 2019-06-04 00:00:00\n", - "Day 3816 of 4936, 2019-06-05 00:00:00\n", - "Day 3817 of 4936, 2019-06-06 00:00:00\n", - "Day 3818 of 4936, 2019-06-07 00:00:00\n", - "Day 3819 of 4936, 2019-06-10 00:00:00\n", - "Day 3820 of 4936, 2019-06-11 00:00:00\n", - "Day 3821 of 4936, 2019-06-12 00:00:00\n", - "Day 3822 of 4936, 2019-06-13 00:00:00\n", - "Day 3823 of 4936, 2019-06-14 00:00:00\n", - "Day 3824 of 4936, 2019-06-17 00:00:00\n", - "Day 3825 of 4936, 2019-06-18 00:00:00\n", - "Day 3826 of 4936, 2019-06-19 00:00:00\n", - "Day 3827 of 4936, 2019-06-20 00:00:00\n", - "Day 3828 of 4936, 2019-06-21 00:00:00\n", - "Day 3829 of 4936, 2019-06-24 00:00:00\n", - "Day 3830 of 4936, 2019-06-25 00:00:00\n", - "Day 3831 of 4936, 2019-06-26 00:00:00\n", - "Day 3832 of 4936, 2019-06-27 00:00:00\n", - "Day 3833 of 4936, 2019-06-28 00:00:00\n", - "Day 3834 of 4936, 2019-07-01 00:00:00\n", - "Day 3835 of 4936, 2019-07-02 00:00:00\n", - "Day 3836 of 4936, 2019-07-03 00:00:00\n", - "Day 3837 of 4936, 2019-07-04 00:00:00\n", - "Day 3838 of 4936, 2019-07-05 00:00:00\n", - "Day 3839 of 4936, 2019-07-08 00:00:00\n", - "Day 3840 of 4936, 2019-07-09 00:00:00\n", - "Day 3841 of 4936, 2019-07-10 00:00:00\n", - "Day 3842 of 4936, 2019-07-11 00:00:00\n", - "Day 3843 of 4936, 2019-07-12 00:00:00\n", - "Day 3844 of 4936, 2019-07-15 00:00:00\n", - "Day 3845 of 4936, 2019-07-16 00:00:00\n", - "Day 3846 of 4936, 2019-07-17 00:00:00\n", - "Day 3847 of 4936, 2019-07-18 00:00:00\n", - "Day 3848 of 4936, 2019-07-19 00:00:00\n", - "Day 3849 of 4936, 2019-07-22 00:00:00\n", - "Day 3850 of 4936, 2019-07-23 00:00:00\n", - "Day 3851 of 4936, 2019-07-24 00:00:00\n", - "Day 3852 of 4936, 2019-07-25 00:00:00\n", - "Day 3853 of 4936, 2019-07-26 00:00:00\n", - "Day 3854 of 4936, 2019-07-29 00:00:00\n", - "Day 3855 of 4936, 2019-07-30 00:00:00\n", - "Day 3856 of 4936, 2019-07-31 00:00:00\n", - "Day 3857 of 4936, 2019-08-01 00:00:00\n", - "Day 3858 of 4936, 2019-08-02 00:00:00\n", - "Day 3859 of 4936, 2019-08-05 00:00:00\n", - "Day 3860 of 4936, 2019-08-06 00:00:00\n", - "Day 3861 of 4936, 2019-08-07 00:00:00\n", - "Day 3862 of 4936, 2019-08-08 00:00:00\n", - "Day 3863 of 4936, 2019-08-09 00:00:00\n", - "Day 3864 of 4936, 2019-08-12 00:00:00\n", - "Day 3865 of 4936, 2019-08-13 00:00:00\n", - "Day 3866 of 4936, 2019-08-14 00:00:00\n", - "Day 3867 of 4936, 2019-08-15 00:00:00\n", - "Day 3868 of 4936, 2019-08-16 00:00:00\n", - "Day 3869 of 4936, 2019-08-19 00:00:00\n", - "Day 3870 of 4936, 2019-08-20 00:00:00\n", - "Day 3871 of 4936, 2019-08-21 00:00:00\n", - "Day 3872 of 4936, 2019-08-22 00:00:00\n", - "Day 3873 of 4936, 2019-08-23 00:00:00\n", - "Day 3874 of 4936, 2019-08-26 00:00:00\n", - "Day 3875 of 4936, 2019-08-27 00:00:00\n", - "Day 3876 of 4936, 2019-08-28 00:00:00\n", - "Day 3877 of 4936, 2019-08-29 00:00:00\n", - "Day 3878 of 4936, 2019-08-30 00:00:00\n", - "Day 3879 of 4936, 2019-09-02 00:00:00\n", - "Day 3880 of 4936, 2019-09-03 00:00:00\n", - "Day 3881 of 4936, 2019-09-04 00:00:00\n", - "Day 3882 of 4936, 2019-09-05 00:00:00\n", - "Day 3883 of 4936, 2019-09-06 00:00:00\n", - "Day 3884 of 4936, 2019-09-09 00:00:00\n", - "Day 3885 of 4936, 2019-09-10 00:00:00\n", - "Day 3886 of 4936, 2019-09-11 00:00:00\n", - "Day 3887 of 4936, 2019-09-12 00:00:00\n", - "Day 3888 of 4936, 2019-09-13 00:00:00\n", - "Day 3889 of 4936, 2019-09-16 00:00:00\n", - "Day 3890 of 4936, 2019-09-17 00:00:00\n", - "Day 3891 of 4936, 2019-09-18 00:00:00\n", - "Day 3892 of 4936, 2019-09-19 00:00:00\n", - "Day 3893 of 4936, 2019-09-20 00:00:00\n", - "Day 3894 of 4936, 2019-09-23 00:00:00\n", - "Day 3895 of 4936, 2019-09-24 00:00:00\n", - "Day 3896 of 4936, 2019-09-25 00:00:00\n", - "Day 3897 of 4936, 2019-09-26 00:00:00\n", - "Day 3898 of 4936, 2019-09-27 00:00:00\n", - "Day 3899 of 4936, 2019-09-30 00:00:00\n", - "Day 3900 of 4936, 2019-10-01 00:00:00\n", - "Day 3901 of 4936, 2019-10-02 00:00:00\n", - "Day 3902 of 4936, 2019-10-03 00:00:00\n", - "Day 3903 of 4936, 2019-10-04 00:00:00\n", - "Day 3904 of 4936, 2019-10-07 00:00:00\n", - "Day 3905 of 4936, 2019-10-08 00:00:00\n", - "Day 3906 of 4936, 2019-10-09 00:00:00\n", - "Day 3907 of 4936, 2019-10-10 00:00:00\n", - "Day 3908 of 4936, 2019-10-11 00:00:00\n", - "Day 3909 of 4936, 2019-10-14 00:00:00\n", - "Day 3910 of 4936, 2019-10-15 00:00:00\n", - "Day 3911 of 4936, 2019-10-16 00:00:00\n", - "Day 3912 of 4936, 2019-10-17 00:00:00\n", - "Day 3913 of 4936, 2019-10-18 00:00:00\n", - "Day 3914 of 4936, 2019-10-21 00:00:00\n", - "Day 3915 of 4936, 2019-10-22 00:00:00\n", - "Day 3916 of 4936, 2019-10-23 00:00:00\n", - "Day 3917 of 4936, 2019-10-24 00:00:00\n", - "Day 3918 of 4936, 2019-10-25 00:00:00\n", - "Day 3919 of 4936, 2019-10-28 00:00:00\n", - "Day 3920 of 4936, 2019-10-29 00:00:00\n", - "Day 3921 of 4936, 2019-10-30 00:00:00\n", - "Day 3922 of 4936, 2019-10-31 00:00:00\n", - "Day 3923 of 4936, 2019-11-01 00:00:00\n", - "Day 3924 of 4936, 2019-11-04 00:00:00\n", - "Day 3925 of 4936, 2019-11-05 00:00:00\n", - "Day 3926 of 4936, 2019-11-06 00:00:00\n", - "Day 3927 of 4936, 2019-11-07 00:00:00\n", - "Day 3928 of 4936, 2019-11-08 00:00:00\n", - "Day 3929 of 4936, 2019-11-11 00:00:00\n", - "Day 3930 of 4936, 2019-11-12 00:00:00\n", - "Day 3931 of 4936, 2019-11-13 00:00:00\n", - "Day 3932 of 4936, 2019-11-14 00:00:00\n", - "Day 3933 of 4936, 2019-11-15 00:00:00\n", - "Day 3934 of 4936, 2019-11-18 00:00:00\n", - "Day 3935 of 4936, 2019-11-19 00:00:00\n", - "Day 3936 of 4936, 2019-11-20 00:00:00\n", - "Day 3937 of 4936, 2019-11-21 00:00:00\n", - "Day 3938 of 4936, 2019-11-22 00:00:00\n", - "Day 3939 of 4936, 2019-11-25 00:00:00\n", - "Day 3940 of 4936, 2019-11-26 00:00:00\n", - "Day 3941 of 4936, 2019-11-27 00:00:00\n", - "Day 3942 of 4936, 2019-11-28 00:00:00\n", - "Day 3943 of 4936, 2019-11-29 00:00:00\n", - "Day 3944 of 4936, 2019-12-02 00:00:00\n", - "Day 3945 of 4936, 2019-12-03 00:00:00\n", - "Day 3946 of 4936, 2019-12-04 00:00:00\n", - "Day 3947 of 4936, 2019-12-05 00:00:00\n", - "Day 3948 of 4936, 2019-12-06 00:00:00\n", - "Day 3949 of 4936, 2019-12-09 00:00:00\n", - "Day 3950 of 4936, 2019-12-10 00:00:00\n", - "Day 3951 of 4936, 2019-12-11 00:00:00\n", - "Day 3952 of 4936, 2019-12-12 00:00:00\n", - "Day 3953 of 4936, 2019-12-13 00:00:00\n", - "Day 3954 of 4936, 2019-12-16 00:00:00\n", - "Day 3955 of 4936, 2019-12-17 00:00:00\n", - "Day 3956 of 4936, 2019-12-18 00:00:00\n", - "Day 3957 of 4936, 2019-12-19 00:00:00\n", - "Day 3958 of 4936, 2019-12-20 00:00:00\n", - "Day 3959 of 4936, 2019-12-23 00:00:00\n", - "Day 3960 of 4936, 2019-12-24 00:00:00\n", - "Day 3961 of 4936, 2019-12-25 00:00:00\n", - "Day 3962 of 4936, 2019-12-26 00:00:00\n", - "Day 3963 of 4936, 2019-12-27 00:00:00\n", - "Day 3964 of 4936, 2019-12-30 00:00:00\n", - "Day 3965 of 4936, 2019-12-31 00:00:00\n", - "Day 3966 of 4936, 2020-01-01 00:00:00\n", - "Day 3967 of 4936, 2020-01-02 00:00:00\n", - "Day 3968 of 4936, 2020-01-03 00:00:00\n", - "Day 3969 of 4936, 2020-01-06 00:00:00\n", - "Day 3970 of 4936, 2020-01-07 00:00:00\n", - "Day 3971 of 4936, 2020-01-08 00:00:00\n", - "Day 3972 of 4936, 2020-01-09 00:00:00\n", - "Day 3973 of 4936, 2020-01-10 00:00:00\n", - "Day 3974 of 4936, 2020-01-13 00:00:00\n", - "Day 3975 of 4936, 2020-01-14 00:00:00\n", - "Day 3976 of 4936, 2020-01-15 00:00:00\n", - "Day 3977 of 4936, 2020-01-16 00:00:00\n", - "Day 3978 of 4936, 2020-01-17 00:00:00\n", - "Day 3979 of 4936, 2020-01-20 00:00:00\n", - "Day 3980 of 4936, 2020-01-21 00:00:00\n", - "Day 3981 of 4936, 2020-01-22 00:00:00\n", - "Day 3982 of 4936, 2020-01-23 00:00:00\n", - "Day 3983 of 4936, 2020-01-24 00:00:00\n", - "Day 3984 of 4936, 2020-01-27 00:00:00\n", - "Day 3985 of 4936, 2020-01-28 00:00:00\n", - "Day 3986 of 4936, 2020-01-29 00:00:00\n", - "Day 3987 of 4936, 2020-01-30 00:00:00\n", - "Day 3988 of 4936, 2020-01-31 00:00:00\n", - "Day 3989 of 4936, 2020-02-03 00:00:00\n", - "Day 3990 of 4936, 2020-02-04 00:00:00\n", - "Day 3991 of 4936, 2020-02-05 00:00:00\n", - "Day 3992 of 4936, 2020-02-06 00:00:00\n", - "Day 3993 of 4936, 2020-02-07 00:00:00\n", - "Day 3994 of 4936, 2020-02-10 00:00:00\n", - "Day 3995 of 4936, 2020-02-11 00:00:00\n", - "Day 3996 of 4936, 2020-02-12 00:00:00\n", - "Day 3997 of 4936, 2020-02-13 00:00:00\n", - "Day 3998 of 4936, 2020-02-14 00:00:00\n", - "Day 3999 of 4936, 2020-02-17 00:00:00\n", - "Day 4000 of 4936, 2020-02-18 00:00:00\n", - "Day 4001 of 4936, 2020-02-19 00:00:00\n", - "Day 4002 of 4936, 2020-02-20 00:00:00\n", - "Day 4003 of 4936, 2020-02-21 00:00:00\n", - "Day 4004 of 4936, 2020-02-24 00:00:00\n", - "Day 4005 of 4936, 2020-02-25 00:00:00\n", - "Day 4006 of 4936, 2020-02-26 00:00:00\n", - "Day 4007 of 4936, 2020-02-27 00:00:00\n", - "Day 4008 of 4936, 2020-02-28 00:00:00\n", - "Day 4009 of 4936, 2020-03-02 00:00:00\n", - "Day 4010 of 4936, 2020-03-03 00:00:00\n", - "Day 4011 of 4936, 2020-03-04 00:00:00\n", - "Day 4012 of 4936, 2020-03-05 00:00:00\n", - "Day 4013 of 4936, 2020-03-06 00:00:00\n", - "Day 4014 of 4936, 2020-03-09 00:00:00\n", - "Day 4015 of 4936, 2020-03-10 00:00:00\n", - "Day 4016 of 4936, 2020-03-11 00:00:00\n", - "Day 4017 of 4936, 2020-03-12 00:00:00\n", - "Day 4018 of 4936, 2020-03-13 00:00:00\n", - "Day 4019 of 4936, 2020-03-16 00:00:00\n", - "Day 4020 of 4936, 2020-03-17 00:00:00\n", - "Day 4021 of 4936, 2020-03-18 00:00:00\n", - "Day 4022 of 4936, 2020-03-19 00:00:00\n", - "Day 4023 of 4936, 2020-03-20 00:00:00\n", - "Day 4024 of 4936, 2020-03-23 00:00:00\n", - "Day 4025 of 4936, 2020-03-24 00:00:00\n", - "Day 4026 of 4936, 2020-03-25 00:00:00\n", - "Day 4027 of 4936, 2020-03-26 00:00:00\n", - "Day 4028 of 4936, 2020-03-27 00:00:00\n", - "Day 4029 of 4936, 2020-03-30 00:00:00\n", - "Day 4030 of 4936, 2020-03-31 00:00:00\n", - "Day 4031 of 4936, 2020-04-01 00:00:00\n", - "Day 4032 of 4936, 2020-04-02 00:00:00\n", - "Day 4033 of 4936, 2020-04-03 00:00:00\n", - "Day 4034 of 4936, 2020-04-06 00:00:00\n", - "Day 4035 of 4936, 2020-04-07 00:00:00\n", - "Day 4036 of 4936, 2020-04-08 00:00:00\n", - "Day 4037 of 4936, 2020-04-09 00:00:00\n", - "Day 4038 of 4936, 2020-04-10 00:00:00\n", - "Day 4039 of 4936, 2020-04-13 00:00:00\n", - "Day 4040 of 4936, 2020-04-14 00:00:00\n", - "Day 4041 of 4936, 2020-04-15 00:00:00\n", - "Day 4042 of 4936, 2020-04-16 00:00:00\n", - "Day 4043 of 4936, 2020-04-17 00:00:00\n", - "Day 4044 of 4936, 2020-04-20 00:00:00\n", - "Day 4045 of 4936, 2020-04-21 00:00:00\n", - "Day 4046 of 4936, 2020-04-22 00:00:00\n", - "Day 4047 of 4936, 2020-04-23 00:00:00\n", - "Day 4048 of 4936, 2020-04-24 00:00:00\n", - "Day 4049 of 4936, 2020-04-27 00:00:00\n", - "Day 4050 of 4936, 2020-04-28 00:00:00\n", - "Day 4051 of 4936, 2020-04-29 00:00:00\n", - "Day 4052 of 4936, 2020-04-30 00:00:00\n", - "Day 4053 of 4936, 2020-05-01 00:00:00\n", - "Day 4054 of 4936, 2020-05-04 00:00:00\n", - "Day 4055 of 4936, 2020-05-05 00:00:00\n", - "Day 4056 of 4936, 2020-05-06 00:00:00\n", - "Day 4057 of 4936, 2020-05-07 00:00:00\n", - "Day 4058 of 4936, 2020-05-08 00:00:00\n", - "Day 4059 of 4936, 2020-05-11 00:00:00\n", - "Day 4060 of 4936, 2020-05-12 00:00:00\n", - "Day 4061 of 4936, 2020-05-13 00:00:00\n", - "Day 4062 of 4936, 2020-05-14 00:00:00\n", - "Day 4063 of 4936, 2020-05-15 00:00:00\n", - "Day 4064 of 4936, 2020-05-18 00:00:00\n", - "Day 4065 of 4936, 2020-05-19 00:00:00\n", - "Day 4066 of 4936, 2020-05-20 00:00:00\n", - "Day 4067 of 4936, 2020-05-21 00:00:00\n", - "Day 4068 of 4936, 2020-05-22 00:00:00\n", - "Day 4069 of 4936, 2020-05-25 00:00:00\n", - "Day 4070 of 4936, 2020-05-26 00:00:00\n", - "Day 4071 of 4936, 2020-05-27 00:00:00\n", - "Day 4072 of 4936, 2020-05-28 00:00:00\n", - "Day 4073 of 4936, 2020-05-29 00:00:00\n", - "Day 4074 of 4936, 2020-06-01 00:00:00\n", - "Day 4075 of 4936, 2020-06-02 00:00:00\n", - "Day 4076 of 4936, 2020-06-03 00:00:00\n", - "Day 4077 of 4936, 2020-06-04 00:00:00\n", - "Day 4078 of 4936, 2020-06-05 00:00:00\n", - "Day 4079 of 4936, 2020-06-08 00:00:00\n", - "Day 4080 of 4936, 2020-06-09 00:00:00\n", - "Day 4081 of 4936, 2020-06-10 00:00:00\n", - "Day 4082 of 4936, 2020-06-11 00:00:00\n", - "Day 4083 of 4936, 2020-06-12 00:00:00\n", - "Day 4084 of 4936, 2020-06-15 00:00:00\n", - "Day 4085 of 4936, 2020-06-16 00:00:00\n", - "Day 4086 of 4936, 2020-06-17 00:00:00\n", - "Day 4087 of 4936, 2020-06-18 00:00:00\n", - "Day 4088 of 4936, 2020-06-19 00:00:00\n", - "Day 4089 of 4936, 2020-06-22 00:00:00\n", - "Day 4090 of 4936, 2020-06-23 00:00:00\n", - "Day 4091 of 4936, 2020-06-24 00:00:00\n", - "Day 4092 of 4936, 2020-06-25 00:00:00\n", - "Day 4093 of 4936, 2020-06-26 00:00:00\n", - "Day 4094 of 4936, 2020-06-29 00:00:00\n", - "Day 4095 of 4936, 2020-06-30 00:00:00\n", - "Day 4096 of 4936, 2020-07-01 00:00:00\n", - "Day 4097 of 4936, 2020-07-02 00:00:00\n", - "Day 4098 of 4936, 2020-07-03 00:00:00\n", - "Day 4099 of 4936, 2020-07-06 00:00:00\n", - "Day 4100 of 4936, 2020-07-07 00:00:00\n", - "Day 4101 of 4936, 2020-07-08 00:00:00\n", - "Day 4102 of 4936, 2020-07-09 00:00:00\n", - "Day 4103 of 4936, 2020-07-10 00:00:00\n", - "Day 4104 of 4936, 2020-07-13 00:00:00\n", - "Day 4105 of 4936, 2020-07-14 00:00:00\n", - "Day 4106 of 4936, 2020-07-15 00:00:00\n", - "Day 4107 of 4936, 2020-07-16 00:00:00\n", - "Day 4108 of 4936, 2020-07-17 00:00:00\n", - "Day 4109 of 4936, 2020-07-20 00:00:00\n", - "Day 4110 of 4936, 2020-07-21 00:00:00\n", - "Day 4111 of 4936, 2020-07-22 00:00:00\n", - "Day 4112 of 4936, 2020-07-23 00:00:00\n", - "Day 4113 of 4936, 2020-07-24 00:00:00\n", - "Day 4114 of 4936, 2020-07-27 00:00:00\n", - "Day 4115 of 4936, 2020-07-28 00:00:00\n", - "Day 4116 of 4936, 2020-07-29 00:00:00\n", - "Day 4117 of 4936, 2020-07-30 00:00:00\n", - "Day 4118 of 4936, 2020-07-31 00:00:00\n", - "Day 4119 of 4936, 2020-08-03 00:00:00\n", - "Day 4120 of 4936, 2020-08-04 00:00:00\n", - "Day 4121 of 4936, 2020-08-05 00:00:00\n", - "Day 4122 of 4936, 2020-08-06 00:00:00\n", - "Day 4123 of 4936, 2020-08-07 00:00:00\n", - "Day 4124 of 4936, 2020-08-10 00:00:00\n", - "Day 4125 of 4936, 2020-08-11 00:00:00\n", - "Day 4126 of 4936, 2020-08-12 00:00:00\n", - "Day 4127 of 4936, 2020-08-13 00:00:00\n", - "Day 4128 of 4936, 2020-08-14 00:00:00\n", - "Day 4129 of 4936, 2020-08-17 00:00:00\n", - "Day 4130 of 4936, 2020-08-18 00:00:00\n", - "Day 4131 of 4936, 2020-08-19 00:00:00\n", - "Day 4132 of 4936, 2020-08-20 00:00:00\n", - "Day 4133 of 4936, 2020-08-21 00:00:00\n", - "Day 4134 of 4936, 2020-08-24 00:00:00\n", - "Day 4135 of 4936, 2020-08-25 00:00:00\n", - "Day 4136 of 4936, 2020-08-26 00:00:00\n", - "Day 4137 of 4936, 2020-08-27 00:00:00\n", - "Day 4138 of 4936, 2020-08-28 00:00:00\n", - "Day 4139 of 4936, 2020-08-31 00:00:00\n", - "Day 4140 of 4936, 2020-09-01 00:00:00\n", - "Day 4141 of 4936, 2020-09-02 00:00:00\n", - "Day 4142 of 4936, 2020-09-03 00:00:00\n", - "Day 4143 of 4936, 2020-09-04 00:00:00\n", - "Day 4144 of 4936, 2020-09-07 00:00:00\n", - "Day 4145 of 4936, 2020-09-08 00:00:00\n", - "Day 4146 of 4936, 2020-09-09 00:00:00\n", - "Day 4147 of 4936, 2020-09-10 00:00:00\n", - "Day 4148 of 4936, 2020-09-11 00:00:00\n", - "Day 4149 of 4936, 2020-09-14 00:00:00\n", - "Day 4150 of 4936, 2020-09-15 00:00:00\n", - "Day 4151 of 4936, 2020-09-16 00:00:00\n", - "Day 4152 of 4936, 2020-09-17 00:00:00\n", - "Day 4153 of 4936, 2020-09-18 00:00:00\n", - "Day 4154 of 4936, 2020-09-21 00:00:00\n", - "Day 4155 of 4936, 2020-09-22 00:00:00\n", - "Day 4156 of 4936, 2020-09-23 00:00:00\n", - "Day 4157 of 4936, 2020-09-24 00:00:00\n", - "Day 4158 of 4936, 2020-09-25 00:00:00\n", - "Day 4159 of 4936, 2020-09-28 00:00:00\n", - "Day 4160 of 4936, 2020-09-29 00:00:00\n", - "Day 4161 of 4936, 2020-09-30 00:00:00\n", - "Day 4162 of 4936, 2020-10-01 00:00:00\n", - "Day 4163 of 4936, 2020-10-02 00:00:00\n", - "Day 4164 of 4936, 2020-10-05 00:00:00\n", - "Day 4165 of 4936, 2020-10-06 00:00:00\n", - "Day 4166 of 4936, 2020-10-07 00:00:00\n", - "Day 4167 of 4936, 2020-10-08 00:00:00\n", - "Day 4168 of 4936, 2020-10-09 00:00:00\n", - "Day 4169 of 4936, 2020-10-12 00:00:00\n", - "Day 4170 of 4936, 2020-10-13 00:00:00\n", - "Day 4171 of 4936, 2020-10-14 00:00:00\n", - "Day 4172 of 4936, 2020-10-15 00:00:00\n", - "Day 4173 of 4936, 2020-10-16 00:00:00\n", - "Day 4174 of 4936, 2020-10-19 00:00:00\n", - "Day 4175 of 4936, 2020-10-20 00:00:00\n", - "Day 4176 of 4936, 2020-10-21 00:00:00\n", - "Day 4177 of 4936, 2020-10-22 00:00:00\n", - "Day 4178 of 4936, 2020-10-23 00:00:00\n", - "Day 4179 of 4936, 2020-10-26 00:00:00\n", - "Day 4180 of 4936, 2020-10-27 00:00:00\n", - "Day 4181 of 4936, 2020-10-28 00:00:00\n", - "Day 4182 of 4936, 2020-10-29 00:00:00\n", - "Day 4183 of 4936, 2020-10-30 00:00:00\n", - "Day 4184 of 4936, 2020-11-02 00:00:00\n", - "Day 4185 of 4936, 2020-11-03 00:00:00\n", - "Day 4186 of 4936, 2020-11-04 00:00:00\n", - "Day 4187 of 4936, 2020-11-05 00:00:00\n", - "Day 4188 of 4936, 2020-11-06 00:00:00\n", - "Day 4189 of 4936, 2020-11-09 00:00:00\n", - "Day 4190 of 4936, 2020-11-10 00:00:00\n", - "Day 4191 of 4936, 2020-11-11 00:00:00\n", - "Day 4192 of 4936, 2020-11-12 00:00:00\n", - "Day 4193 of 4936, 2020-11-13 00:00:00\n", - "Day 4194 of 4936, 2020-11-16 00:00:00\n", - "Day 4195 of 4936, 2020-11-17 00:00:00\n", - "Day 4196 of 4936, 2020-11-18 00:00:00\n", - "Day 4197 of 4936, 2020-11-19 00:00:00\n", - "Day 4198 of 4936, 2020-11-20 00:00:00\n", - "Day 4199 of 4936, 2020-11-23 00:00:00\n", - "Day 4200 of 4936, 2020-11-24 00:00:00\n", - "Day 4201 of 4936, 2020-11-25 00:00:00\n", - "Day 4202 of 4936, 2020-11-26 00:00:00\n", - "Day 4203 of 4936, 2020-11-27 00:00:00\n", - "Day 4204 of 4936, 2020-11-30 00:00:00\n", - "Day 4205 of 4936, 2020-12-01 00:00:00\n", - "Day 4206 of 4936, 2020-12-02 00:00:00\n", - "Day 4207 of 4936, 2020-12-03 00:00:00\n", - "Day 4208 of 4936, 2020-12-04 00:00:00\n", - "Day 4209 of 4936, 2020-12-07 00:00:00\n", - "Day 4210 of 4936, 2020-12-08 00:00:00\n", - "Day 4211 of 4936, 2020-12-09 00:00:00\n", - "Day 4212 of 4936, 2020-12-10 00:00:00\n", - "Day 4213 of 4936, 2020-12-11 00:00:00\n", - "Day 4214 of 4936, 2020-12-14 00:00:00\n", - "Day 4215 of 4936, 2020-12-15 00:00:00\n", - "Day 4216 of 4936, 2020-12-16 00:00:00\n", - "Day 4217 of 4936, 2020-12-17 00:00:00\n", - "Day 4218 of 4936, 2020-12-18 00:00:00\n", - "Day 4219 of 4936, 2020-12-21 00:00:00\n", - "Day 4220 of 4936, 2020-12-22 00:00:00\n", - "Day 4221 of 4936, 2020-12-23 00:00:00\n", - "Day 4222 of 4936, 2020-12-24 00:00:00\n", - "Day 4223 of 4936, 2020-12-25 00:00:00\n", - "Day 4224 of 4936, 2020-12-28 00:00:00\n", - "Day 4225 of 4936, 2020-12-29 00:00:00\n", - "Day 4226 of 4936, 2020-12-30 00:00:00\n", - "Day 4227 of 4936, 2020-12-31 00:00:00\n", - "Day 4228 of 4936, 2021-01-01 00:00:00\n", - "Day 4229 of 4936, 2021-01-04 00:00:00\n", - "Day 4230 of 4936, 2021-01-05 00:00:00\n", - "Day 4231 of 4936, 2021-01-06 00:00:00\n", - "Day 4232 of 4936, 2021-01-07 00:00:00\n", - "Day 4233 of 4936, 2021-01-08 00:00:00\n", - "Day 4234 of 4936, 2021-01-11 00:00:00\n", - "Day 4235 of 4936, 2021-01-12 00:00:00\n", - "Day 4236 of 4936, 2021-01-13 00:00:00\n", - "Day 4237 of 4936, 2021-01-14 00:00:00\n", - "Day 4238 of 4936, 2021-01-15 00:00:00\n", - "Day 4239 of 4936, 2021-01-18 00:00:00\n", - "Day 4240 of 4936, 2021-01-19 00:00:00\n", - "Day 4241 of 4936, 2021-01-20 00:00:00\n", - "Day 4242 of 4936, 2021-01-21 00:00:00\n", - "Day 4243 of 4936, 2021-01-22 00:00:00\n", - "Day 4244 of 4936, 2021-01-25 00:00:00\n", - "Day 4245 of 4936, 2021-01-26 00:00:00\n", - "Day 4246 of 4936, 2021-01-27 00:00:00\n", - "Day 4247 of 4936, 2021-01-28 00:00:00\n", - "Day 4248 of 4936, 2021-01-29 00:00:00\n", - "Day 4249 of 4936, 2021-02-01 00:00:00\n", - "Day 4250 of 4936, 2021-02-02 00:00:00\n", - "Day 4251 of 4936, 2021-02-03 00:00:00\n", - "Day 4252 of 4936, 2021-02-04 00:00:00\n", - "Day 4253 of 4936, 2021-02-05 00:00:00\n", - "Day 4254 of 4936, 2021-02-08 00:00:00\n", - "Day 4255 of 4936, 2021-02-09 00:00:00\n", - "Day 4256 of 4936, 2021-02-10 00:00:00\n", - "Day 4257 of 4936, 2021-02-11 00:00:00\n", - "Day 4258 of 4936, 2021-02-12 00:00:00\n", - "Day 4259 of 4936, 2021-02-15 00:00:00\n", - "Day 4260 of 4936, 2021-02-16 00:00:00\n", - "Day 4261 of 4936, 2021-02-17 00:00:00\n", - "Day 4262 of 4936, 2021-02-18 00:00:00\n", - "Day 4263 of 4936, 2021-02-19 00:00:00\n", - "Day 4264 of 4936, 2021-02-22 00:00:00\n", - "Day 4265 of 4936, 2021-02-23 00:00:00\n", - "Day 4266 of 4936, 2021-02-24 00:00:00\n", - "Day 4267 of 4936, 2021-02-25 00:00:00\n", - "Day 4268 of 4936, 2021-02-26 00:00:00\n", - "Day 4269 of 4936, 2021-03-01 00:00:00\n", - "Day 4270 of 4936, 2021-03-02 00:00:00\n", - "Day 4271 of 4936, 2021-03-03 00:00:00\n", - "Day 4272 of 4936, 2021-03-04 00:00:00\n", - "Day 4273 of 4936, 2021-03-05 00:00:00\n", - "Day 4274 of 4936, 2021-03-08 00:00:00\n", - "Day 4275 of 4936, 2021-03-09 00:00:00\n", - "Day 4276 of 4936, 2021-03-10 00:00:00\n", - "Day 4277 of 4936, 2021-03-11 00:00:00\n", - "Day 4278 of 4936, 2021-03-12 00:00:00\n", - "Day 4279 of 4936, 2021-03-15 00:00:00\n", - "Day 4280 of 4936, 2021-03-16 00:00:00\n", - "Day 4281 of 4936, 2021-03-17 00:00:00\n", - "Day 4282 of 4936, 2021-03-18 00:00:00\n", - "Day 4283 of 4936, 2021-03-19 00:00:00\n", - "Day 4284 of 4936, 2021-03-22 00:00:00\n", - "Day 4285 of 4936, 2021-03-23 00:00:00\n", - "Day 4286 of 4936, 2021-03-24 00:00:00\n", - "Day 4287 of 4936, 2021-03-25 00:00:00\n", - "Day 4288 of 4936, 2021-03-26 00:00:00\n", - "Day 4289 of 4936, 2021-03-29 00:00:00\n", - "Day 4290 of 4936, 2021-03-30 00:00:00\n", - "Day 4291 of 4936, 2021-03-31 00:00:00\n", - "Day 4292 of 4936, 2021-04-01 00:00:00\n", - "Day 4293 of 4936, 2021-04-02 00:00:00\n", - "Day 4294 of 4936, 2021-04-05 00:00:00\n", - "Day 4295 of 4936, 2021-04-06 00:00:00\n", - "Day 4296 of 4936, 2021-04-07 00:00:00\n", - "Day 4297 of 4936, 2021-04-08 00:00:00\n", - "Day 4298 of 4936, 2021-04-09 00:00:00\n", - "Day 4299 of 4936, 2021-04-12 00:00:00\n", - "Day 4300 of 4936, 2021-04-13 00:00:00\n", - "Day 4301 of 4936, 2021-04-14 00:00:00\n", - "Day 4302 of 4936, 2021-04-15 00:00:00\n", - "Day 4303 of 4936, 2021-04-16 00:00:00\n", - "Day 4304 of 4936, 2021-04-19 00:00:00\n", - "Day 4305 of 4936, 2021-04-20 00:00:00\n", - "Day 4306 of 4936, 2021-04-21 00:00:00\n", - "Day 4307 of 4936, 2021-04-22 00:00:00\n", - "Day 4308 of 4936, 2021-04-23 00:00:00\n", - "Day 4309 of 4936, 2021-04-26 00:00:00\n", - "Day 4310 of 4936, 2021-04-27 00:00:00\n", - "Day 4311 of 4936, 2021-04-28 00:00:00\n", - "Day 4312 of 4936, 2021-04-29 00:00:00\n", - "Day 4313 of 4936, 2021-04-30 00:00:00\n", - "Day 4314 of 4936, 2021-05-03 00:00:00\n", - "Day 4315 of 4936, 2021-05-04 00:00:00\n", - "Day 4316 of 4936, 2021-05-05 00:00:00\n", - "Day 4317 of 4936, 2021-05-06 00:00:00\n", - "Day 4318 of 4936, 2021-05-07 00:00:00\n", - "Day 4319 of 4936, 2021-05-10 00:00:00\n", - "Day 4320 of 4936, 2021-05-11 00:00:00\n", - "Day 4321 of 4936, 2021-05-12 00:00:00\n", - "Day 4322 of 4936, 2021-05-13 00:00:00\n", - "Day 4323 of 4936, 2021-05-14 00:00:00\n", - "Day 4324 of 4936, 2021-05-17 00:00:00\n", - "Day 4325 of 4936, 2021-05-18 00:00:00\n", - "Day 4326 of 4936, 2021-05-19 00:00:00\n", - "Day 4327 of 4936, 2021-05-20 00:00:00\n", - "Day 4328 of 4936, 2021-05-21 00:00:00\n", - "Day 4329 of 4936, 2021-05-24 00:00:00\n", - "Day 4330 of 4936, 2021-05-25 00:00:00\n", - "Day 4331 of 4936, 2021-05-26 00:00:00\n", - "Day 4332 of 4936, 2021-05-27 00:00:00\n", - "Day 4333 of 4936, 2021-05-28 00:00:00\n", - "Day 4334 of 4936, 2021-05-31 00:00:00\n", - "Day 4335 of 4936, 2021-06-01 00:00:00\n", - "Day 4336 of 4936, 2021-06-02 00:00:00\n", - "Day 4337 of 4936, 2021-06-03 00:00:00\n", - "Day 4338 of 4936, 2021-06-04 00:00:00\n", - "Day 4339 of 4936, 2021-06-07 00:00:00\n", - "Day 4340 of 4936, 2021-06-08 00:00:00\n", - "Day 4341 of 4936, 2021-06-09 00:00:00\n", - "Day 4342 of 4936, 2021-06-10 00:00:00\n", - "Day 4343 of 4936, 2021-06-11 00:00:00\n", - "Day 4344 of 4936, 2021-06-14 00:00:00\n", - "Day 4345 of 4936, 2021-06-15 00:00:00\n", - "Day 4346 of 4936, 2021-06-16 00:00:00\n", - "Day 4347 of 4936, 2021-06-17 00:00:00\n", - "Day 4348 of 4936, 2021-06-18 00:00:00\n", - "Day 4349 of 4936, 2021-06-21 00:00:00\n", - "Day 4350 of 4936, 2021-06-22 00:00:00\n", - "Day 4351 of 4936, 2021-06-23 00:00:00\n", - "Day 4352 of 4936, 2021-06-24 00:00:00\n", - "Day 4353 of 4936, 2021-06-25 00:00:00\n", - "Day 4354 of 4936, 2021-06-28 00:00:00\n", - "Day 4355 of 4936, 2021-06-29 00:00:00\n", - "Day 4356 of 4936, 2021-06-30 00:00:00\n", - "Day 4357 of 4936, 2021-07-01 00:00:00\n", - "Day 4358 of 4936, 2021-07-02 00:00:00\n", - "Day 4359 of 4936, 2021-07-05 00:00:00\n", - "Day 4360 of 4936, 2021-07-06 00:00:00\n", - "Day 4361 of 4936, 2021-07-07 00:00:00\n", - "Day 4362 of 4936, 2021-07-08 00:00:00\n", - "Day 4363 of 4936, 2021-07-09 00:00:00\n", - "Day 4364 of 4936, 2021-07-12 00:00:00\n", - "Day 4365 of 4936, 2021-07-13 00:00:00\n", - "Day 4366 of 4936, 2021-07-14 00:00:00\n", - "Day 4367 of 4936, 2021-07-15 00:00:00\n", - "Day 4368 of 4936, 2021-07-16 00:00:00\n", - "Day 4369 of 4936, 2021-07-19 00:00:00\n", - "Day 4370 of 4936, 2021-07-20 00:00:00\n", - "Day 4371 of 4936, 2021-07-21 00:00:00\n", - "Day 4372 of 4936, 2021-07-22 00:00:00\n", - "Day 4373 of 4936, 2021-07-23 00:00:00\n", - "Day 4374 of 4936, 2021-07-26 00:00:00\n", - "Day 4375 of 4936, 2021-07-27 00:00:00\n", - "Day 4376 of 4936, 2021-07-28 00:00:00\n", - "Day 4377 of 4936, 2021-07-29 00:00:00\n", - "Day 4378 of 4936, 2021-07-30 00:00:00\n", - "Day 4379 of 4936, 2021-08-02 00:00:00\n", - "Day 4380 of 4936, 2021-08-03 00:00:00\n", - "Day 4381 of 4936, 2021-08-04 00:00:00\n", - "Day 4382 of 4936, 2021-08-05 00:00:00\n", - "Day 4383 of 4936, 2021-08-06 00:00:00\n", - "Day 4384 of 4936, 2021-08-09 00:00:00\n", - "Day 4385 of 4936, 2021-08-10 00:00:00\n", - "Day 4386 of 4936, 2021-08-11 00:00:00\n", - "Day 4387 of 4936, 2021-08-12 00:00:00\n", - "Day 4388 of 4936, 2021-08-13 00:00:00\n", - "Day 4389 of 4936, 2021-08-16 00:00:00\n", - "Day 4390 of 4936, 2021-08-17 00:00:00\n", - "Day 4391 of 4936, 2021-08-18 00:00:00\n", - "Day 4392 of 4936, 2021-08-19 00:00:00\n", - "Day 4393 of 4936, 2021-08-20 00:00:00\n", - "Day 4394 of 4936, 2021-08-23 00:00:00\n", - "Day 4395 of 4936, 2021-08-24 00:00:00\n", - "Day 4396 of 4936, 2021-08-25 00:00:00\n", - "Day 4397 of 4936, 2021-08-26 00:00:00\n", - "Day 4398 of 4936, 2021-08-27 00:00:00\n", - "Day 4399 of 4936, 2021-08-30 00:00:00\n", - "Day 4400 of 4936, 2021-08-31 00:00:00\n", - "Day 4401 of 4936, 2021-09-01 00:00:00\n", - "Day 4402 of 4936, 2021-09-02 00:00:00\n", - "Day 4403 of 4936, 2021-09-03 00:00:00\n", - "Day 4404 of 4936, 2021-09-06 00:00:00\n", - "Day 4405 of 4936, 2021-09-07 00:00:00\n", - "Day 4406 of 4936, 2021-09-08 00:00:00\n", - "Day 4407 of 4936, 2021-09-09 00:00:00\n", - "Day 4408 of 4936, 2021-09-10 00:00:00\n", - "Day 4409 of 4936, 2021-09-13 00:00:00\n", - "Day 4410 of 4936, 2021-09-14 00:00:00\n", - "Day 4411 of 4936, 2021-09-15 00:00:00\n", - "Day 4412 of 4936, 2021-09-16 00:00:00\n", - "Day 4413 of 4936, 2021-09-17 00:00:00\n", - "Day 4414 of 4936, 2021-09-20 00:00:00\n", - "Day 4415 of 4936, 2021-09-21 00:00:00\n", - "Day 4416 of 4936, 2021-09-22 00:00:00\n", - "Day 4417 of 4936, 2021-09-23 00:00:00\n", - "Day 4418 of 4936, 2021-09-24 00:00:00\n", - "Day 4419 of 4936, 2021-09-27 00:00:00\n", - "Day 4420 of 4936, 2021-09-28 00:00:00\n", - "Day 4421 of 4936, 2021-09-29 00:00:00\n", - "Day 4422 of 4936, 2021-09-30 00:00:00\n", - "Day 4423 of 4936, 2021-10-01 00:00:00\n", - "Day 4424 of 4936, 2021-10-04 00:00:00\n", - "Day 4425 of 4936, 2021-10-05 00:00:00\n", - "Day 4426 of 4936, 2021-10-06 00:00:00\n", - "Day 4427 of 4936, 2021-10-07 00:00:00\n", - "Day 4428 of 4936, 2021-10-08 00:00:00\n", - "Day 4429 of 4936, 2021-10-11 00:00:00\n", - "Day 4430 of 4936, 2021-10-12 00:00:00\n", - "Day 4431 of 4936, 2021-10-13 00:00:00\n", - "Day 4432 of 4936, 2021-10-14 00:00:00\n", - "Day 4433 of 4936, 2021-10-15 00:00:00\n", - "Day 4434 of 4936, 2021-10-18 00:00:00\n", - "Day 4435 of 4936, 2021-10-19 00:00:00\n", - "Day 4436 of 4936, 2021-10-20 00:00:00\n", - "Day 4437 of 4936, 2021-10-21 00:00:00\n", - "Day 4438 of 4936, 2021-10-22 00:00:00\n", - "Day 4439 of 4936, 2021-10-25 00:00:00\n", - "Day 4440 of 4936, 2021-10-26 00:00:00\n", - "Day 4441 of 4936, 2021-10-27 00:00:00\n", - "Day 4442 of 4936, 2021-10-28 00:00:00\n", - "Day 4443 of 4936, 2021-10-29 00:00:00\n", - "Day 4444 of 4936, 2021-11-01 00:00:00\n", - "Day 4445 of 4936, 2021-11-02 00:00:00\n", - "Day 4446 of 4936, 2021-11-03 00:00:00\n", - "Day 4447 of 4936, 2021-11-04 00:00:00\n", - "Day 4448 of 4936, 2021-11-05 00:00:00\n", - "Day 4449 of 4936, 2021-11-08 00:00:00\n", - "Day 4450 of 4936, 2021-11-09 00:00:00\n", - "Day 4451 of 4936, 2021-11-10 00:00:00\n", - "Day 4452 of 4936, 2021-11-11 00:00:00\n", - "Day 4453 of 4936, 2021-11-12 00:00:00\n", - "Day 4454 of 4936, 2021-11-15 00:00:00\n", - "Day 4455 of 4936, 2021-11-16 00:00:00\n", - "Day 4456 of 4936, 2021-11-17 00:00:00\n", - "Day 4457 of 4936, 2021-11-18 00:00:00\n", - "Day 4458 of 4936, 2021-11-19 00:00:00\n", - "Day 4459 of 4936, 2021-11-22 00:00:00\n", - "Day 4460 of 4936, 2021-11-23 00:00:00\n", - "Day 4461 of 4936, 2021-11-24 00:00:00\n", - "Day 4462 of 4936, 2021-11-25 00:00:00\n", - "Day 4463 of 4936, 2021-11-26 00:00:00\n", - "Day 4464 of 4936, 2021-11-29 00:00:00\n", - "Day 4465 of 4936, 2021-11-30 00:00:00\n", - "Day 4466 of 4936, 2021-12-01 00:00:00\n", - "Day 4467 of 4936, 2021-12-02 00:00:00\n", - "Day 4468 of 4936, 2021-12-03 00:00:00\n", - "Day 4469 of 4936, 2021-12-06 00:00:00\n", - "Day 4470 of 4936, 2021-12-07 00:00:00\n", - "Day 4471 of 4936, 2021-12-08 00:00:00\n", - "Day 4472 of 4936, 2021-12-09 00:00:00\n", - "Day 4473 of 4936, 2021-12-10 00:00:00\n", - "Day 4474 of 4936, 2021-12-13 00:00:00\n", - "Day 4475 of 4936, 2021-12-14 00:00:00\n", - "Day 4476 of 4936, 2021-12-15 00:00:00\n", - "Day 4477 of 4936, 2021-12-16 00:00:00\n", - "Day 4478 of 4936, 2021-12-17 00:00:00\n", - "Day 4479 of 4936, 2021-12-20 00:00:00\n", - "Day 4480 of 4936, 2021-12-21 00:00:00\n", - "Day 4481 of 4936, 2021-12-22 00:00:00\n", - "Day 4482 of 4936, 2021-12-23 00:00:00\n", - "Day 4483 of 4936, 2021-12-24 00:00:00\n", - "Day 4484 of 4936, 2021-12-27 00:00:00\n", - "Day 4485 of 4936, 2021-12-28 00:00:00\n", - "Day 4486 of 4936, 2021-12-29 00:00:00\n", - "Day 4487 of 4936, 2021-12-30 00:00:00\n", - "Day 4488 of 4936, 2021-12-31 00:00:00\n", - "Day 4489 of 4936, 2022-01-03 00:00:00\n", - "Day 4490 of 4936, 2022-01-04 00:00:00\n", - "Day 4491 of 4936, 2022-01-05 00:00:00\n", - "Day 4492 of 4936, 2022-01-06 00:00:00\n", - "Day 4493 of 4936, 2022-01-07 00:00:00\n", - "Day 4494 of 4936, 2022-01-10 00:00:00\n", - "Day 4495 of 4936, 2022-01-11 00:00:00\n", - "Day 4496 of 4936, 2022-01-12 00:00:00\n", - "Day 4497 of 4936, 2022-01-13 00:00:00\n", - "Day 4498 of 4936, 2022-01-14 00:00:00\n", - "Day 4499 of 4936, 2022-01-17 00:00:00\n", - "Day 4500 of 4936, 2022-01-18 00:00:00\n", - "Day 4501 of 4936, 2022-01-19 00:00:00\n", - "Day 4502 of 4936, 2022-01-20 00:00:00\n", - "Day 4503 of 4936, 2022-01-21 00:00:00\n", - "Day 4504 of 4936, 2022-01-24 00:00:00\n", - "Day 4505 of 4936, 2022-01-25 00:00:00\n", - "Day 4506 of 4936, 2022-01-26 00:00:00\n", - "Day 4507 of 4936, 2022-01-27 00:00:00\n", - "Day 4508 of 4936, 2022-01-28 00:00:00\n", - "Day 4509 of 4936, 2022-01-31 00:00:00\n", - "Day 4510 of 4936, 2022-02-01 00:00:00\n", - "Day 4511 of 4936, 2022-02-02 00:00:00\n", - "Day 4512 of 4936, 2022-02-03 00:00:00\n", - "Day 4513 of 4936, 2022-02-04 00:00:00\n", - "Day 4514 of 4936, 2022-02-07 00:00:00\n", - "Day 4515 of 4936, 2022-02-08 00:00:00\n", - "Day 4516 of 4936, 2022-02-09 00:00:00\n", - "Day 4517 of 4936, 2022-02-10 00:00:00\n", - "Day 4518 of 4936, 2022-02-11 00:00:00\n", - "Day 4519 of 4936, 2022-02-14 00:00:00\n", - "Day 4520 of 4936, 2022-02-15 00:00:00\n", - "Day 4521 of 4936, 2022-02-16 00:00:00\n", - "Day 4522 of 4936, 2022-02-17 00:00:00\n", - "Day 4523 of 4936, 2022-02-18 00:00:00\n", - "Day 4524 of 4936, 2022-02-21 00:00:00\n", - "Day 4525 of 4936, 2022-02-22 00:00:00\n", - "Day 4526 of 4936, 2022-02-23 00:00:00\n", - "Day 4527 of 4936, 2022-02-24 00:00:00\n", - "Day 4528 of 4936, 2022-02-25 00:00:00\n", - "Day 4529 of 4936, 2022-02-28 00:00:00\n", - "Day 4530 of 4936, 2022-03-01 00:00:00\n", - "Day 4531 of 4936, 2022-03-02 00:00:00\n", - "Day 4532 of 4936, 2022-03-03 00:00:00\n", - "Day 4533 of 4936, 2022-03-04 00:00:00\n", - "Day 4534 of 4936, 2022-03-07 00:00:00\n", - "Day 4535 of 4936, 2022-03-08 00:00:00\n", - "Day 4536 of 4936, 2022-03-09 00:00:00\n", - "Day 4537 of 4936, 2022-03-10 00:00:00\n", - "Day 4538 of 4936, 2022-03-11 00:00:00\n", - "Day 4539 of 4936, 2022-03-14 00:00:00\n", - "Day 4540 of 4936, 2022-03-15 00:00:00\n", - "Day 4541 of 4936, 2022-03-16 00:00:00\n", - "Day 4542 of 4936, 2022-03-17 00:00:00\n", - "Day 4543 of 4936, 2022-03-18 00:00:00\n", - "Day 4544 of 4936, 2022-03-21 00:00:00\n", - "Day 4545 of 4936, 2022-03-22 00:00:00\n", - "Day 4546 of 4936, 2022-03-23 00:00:00\n", - "Day 4547 of 4936, 2022-03-24 00:00:00\n", - "Day 4548 of 4936, 2022-03-25 00:00:00\n", - "Day 4549 of 4936, 2022-03-28 00:00:00\n", - "Day 4550 of 4936, 2022-03-29 00:00:00\n", - "Day 4551 of 4936, 2022-03-30 00:00:00\n", - "Day 4552 of 4936, 2022-03-31 00:00:00\n", - "Day 4553 of 4936, 2022-04-01 00:00:00\n", - "Day 4554 of 4936, 2022-04-04 00:00:00\n", - "Day 4555 of 4936, 2022-04-05 00:00:00\n", - "Day 4556 of 4936, 2022-04-06 00:00:00\n", - "Day 4557 of 4936, 2022-04-07 00:00:00\n", - "Day 4558 of 4936, 2022-04-08 00:00:00\n", - "Day 4559 of 4936, 2022-04-11 00:00:00\n", - "Day 4560 of 4936, 2022-04-12 00:00:00\n", - "Day 4561 of 4936, 2022-04-13 00:00:00\n", - "Day 4562 of 4936, 2022-04-14 00:00:00\n", - "Day 4563 of 4936, 2022-04-15 00:00:00\n", - "Day 4564 of 4936, 2022-04-18 00:00:00\n", - "Day 4565 of 4936, 2022-04-19 00:00:00\n", - "Day 4566 of 4936, 2022-04-20 00:00:00\n", - "Day 4567 of 4936, 2022-04-21 00:00:00\n", - "Day 4568 of 4936, 2022-04-22 00:00:00\n", - "Day 4569 of 4936, 2022-04-25 00:00:00\n", - "Day 4570 of 4936, 2022-04-26 00:00:00\n", - "Day 4571 of 4936, 2022-04-27 00:00:00\n", - "Day 4572 of 4936, 2022-04-28 00:00:00\n", - "Day 4573 of 4936, 2022-04-29 00:00:00\n", - "Day 4574 of 4936, 2022-05-02 00:00:00\n", - "Day 4575 of 4936, 2022-05-03 00:00:00\n", - "Day 4576 of 4936, 2022-05-04 00:00:00\n", - "Day 4577 of 4936, 2022-05-05 00:00:00\n", - "Day 4578 of 4936, 2022-05-06 00:00:00\n", - "Day 4579 of 4936, 2022-05-09 00:00:00\n", - "Day 4580 of 4936, 2022-05-10 00:00:00\n", - "Day 4581 of 4936, 2022-05-11 00:00:00\n", - "Day 4582 of 4936, 2022-05-12 00:00:00\n", - "Day 4583 of 4936, 2022-05-13 00:00:00\n", - "Day 4584 of 4936, 2022-05-16 00:00:00\n", - "Day 4585 of 4936, 2022-05-17 00:00:00\n", - "Day 4586 of 4936, 2022-05-18 00:00:00\n", - "Day 4587 of 4936, 2022-05-19 00:00:00\n", - "Day 4588 of 4936, 2022-05-20 00:00:00\n", - "Day 4589 of 4936, 2022-05-23 00:00:00\n", - "Day 4590 of 4936, 2022-05-24 00:00:00\n", - "Day 4591 of 4936, 2022-05-25 00:00:00\n", - "Day 4592 of 4936, 2022-05-26 00:00:00\n", - "Day 4593 of 4936, 2022-05-27 00:00:00\n", - "Day 4594 of 4936, 2022-05-30 00:00:00\n", - "Day 4595 of 4936, 2022-05-31 00:00:00\n", - "Day 4596 of 4936, 2022-06-01 00:00:00\n", - "Day 4597 of 4936, 2022-06-02 00:00:00\n", - "Day 4598 of 4936, 2022-06-03 00:00:00\n", - "Day 4599 of 4936, 2022-06-06 00:00:00\n", - "Day 4600 of 4936, 2022-06-07 00:00:00\n", - "Day 4601 of 4936, 2022-06-08 00:00:00\n", - "Day 4602 of 4936, 2022-06-09 00:00:00\n", - "Day 4603 of 4936, 2022-06-10 00:00:00\n", - "Day 4604 of 4936, 2022-06-13 00:00:00\n", - "Day 4605 of 4936, 2022-06-14 00:00:00\n", - "Day 4606 of 4936, 2022-06-15 00:00:00\n", - "Day 4607 of 4936, 2022-06-16 00:00:00\n", - "Day 4608 of 4936, 2022-06-17 00:00:00\n", - "Day 4609 of 4936, 2022-06-20 00:00:00\n", - "Day 4610 of 4936, 2022-06-21 00:00:00\n", - "Day 4611 of 4936, 2022-06-22 00:00:00\n", - "Day 4612 of 4936, 2022-06-23 00:00:00\n", - "Day 4613 of 4936, 2022-06-24 00:00:00\n", - "Day 4614 of 4936, 2022-06-27 00:00:00\n", - "Day 4615 of 4936, 2022-06-28 00:00:00\n", - "Day 4616 of 4936, 2022-06-29 00:00:00\n", - "Day 4617 of 4936, 2022-06-30 00:00:00\n", - "Day 4618 of 4936, 2022-07-01 00:00:00\n", - "Day 4619 of 4936, 2022-07-04 00:00:00\n", - "Day 4620 of 4936, 2022-07-05 00:00:00\n", - "Day 4621 of 4936, 2022-07-06 00:00:00\n", - "Day 4622 of 4936, 2022-07-07 00:00:00\n", - "Day 4623 of 4936, 2022-07-08 00:00:00\n", - "Day 4624 of 4936, 2022-07-11 00:00:00\n", - "Day 4625 of 4936, 2022-07-12 00:00:00\n", - "Day 4626 of 4936, 2022-07-13 00:00:00\n", - "Day 4627 of 4936, 2022-07-14 00:00:00\n", - "Day 4628 of 4936, 2022-07-15 00:00:00\n", - "Day 4629 of 4936, 2022-07-18 00:00:00\n", - "Day 4630 of 4936, 2022-07-19 00:00:00\n", - "Day 4631 of 4936, 2022-07-20 00:00:00\n", - "Day 4632 of 4936, 2022-07-21 00:00:00\n", - "Day 4633 of 4936, 2022-07-22 00:00:00\n", - "Day 4634 of 4936, 2022-07-25 00:00:00\n", - "Day 4635 of 4936, 2022-07-26 00:00:00\n", - "Day 4636 of 4936, 2022-07-27 00:00:00\n", - "Day 4637 of 4936, 2022-07-28 00:00:00\n", - "Day 4638 of 4936, 2022-07-29 00:00:00\n", - "Day 4639 of 4936, 2022-08-01 00:00:00\n", - "Day 4640 of 4936, 2022-08-02 00:00:00\n", - "Day 4641 of 4936, 2022-08-03 00:00:00\n", - "Day 4642 of 4936, 2022-08-04 00:00:00\n", - "Day 4643 of 4936, 2022-08-05 00:00:00\n", - "Day 4644 of 4936, 2022-08-08 00:00:00\n", - "Day 4645 of 4936, 2022-08-09 00:00:00\n", - "Day 4646 of 4936, 2022-08-10 00:00:00\n", - "Day 4647 of 4936, 2022-08-11 00:00:00\n", - "Day 4648 of 4936, 2022-08-12 00:00:00\n", - "Day 4649 of 4936, 2022-08-15 00:00:00\n", - "Day 4650 of 4936, 2022-08-16 00:00:00\n", - "Day 4651 of 4936, 2022-08-17 00:00:00\n", - "Day 4652 of 4936, 2022-08-18 00:00:00\n", - "Day 4653 of 4936, 2022-08-19 00:00:00\n", - "Day 4654 of 4936, 2022-08-22 00:00:00\n", - "Day 4655 of 4936, 2022-08-23 00:00:00\n", - "Day 4656 of 4936, 2022-08-24 00:00:00\n", - "Day 4657 of 4936, 2022-08-25 00:00:00\n", - "Day 4658 of 4936, 2022-08-26 00:00:00\n", - "Day 4659 of 4936, 2022-08-29 00:00:00\n", - "Day 4660 of 4936, 2022-08-30 00:00:00\n", - "Day 4661 of 4936, 2022-08-31 00:00:00\n", - "Day 4662 of 4936, 2022-09-01 00:00:00\n", - "Day 4663 of 4936, 2022-09-02 00:00:00\n", - "Day 4664 of 4936, 2022-09-05 00:00:00\n", - "Day 4665 of 4936, 2022-09-06 00:00:00\n", - "Day 4666 of 4936, 2022-09-07 00:00:00\n", - "Day 4667 of 4936, 2022-09-08 00:00:00\n", - "Day 4668 of 4936, 2022-09-09 00:00:00\n", - "Day 4669 of 4936, 2022-09-12 00:00:00\n", - "Day 4670 of 4936, 2022-09-13 00:00:00\n", - "Day 4671 of 4936, 2022-09-14 00:00:00\n", - "Day 4672 of 4936, 2022-09-15 00:00:00\n", - "Day 4673 of 4936, 2022-09-16 00:00:00\n", - "Day 4674 of 4936, 2022-09-19 00:00:00\n", - "Day 4675 of 4936, 2022-09-20 00:00:00\n", - "Day 4676 of 4936, 2022-09-21 00:00:00\n", - "Day 4677 of 4936, 2022-09-22 00:00:00\n", - "Day 4678 of 4936, 2022-09-23 00:00:00\n", - "Day 4679 of 4936, 2022-09-26 00:00:00\n", - "Day 4680 of 4936, 2022-09-27 00:00:00\n", - "Day 4681 of 4936, 2022-09-28 00:00:00\n", - "Day 4682 of 4936, 2022-09-29 00:00:00\n", - "Day 4683 of 4936, 2022-09-30 00:00:00\n", - "Day 4684 of 4936, 2022-10-03 00:00:00\n", - "Day 4685 of 4936, 2022-10-04 00:00:00\n", - "Day 4686 of 4936, 2022-10-05 00:00:00\n", - "Day 4687 of 4936, 2022-10-06 00:00:00\n", - "Day 4688 of 4936, 2022-10-07 00:00:00\n", - "Day 4689 of 4936, 2022-10-10 00:00:00\n", - "Day 4690 of 4936, 2022-10-11 00:00:00\n", - "Day 4691 of 4936, 2022-10-12 00:00:00\n", - "Day 4692 of 4936, 2022-10-13 00:00:00\n", - "Day 4693 of 4936, 2022-10-14 00:00:00\n", - "Day 4694 of 4936, 2022-10-17 00:00:00\n", - "Day 4695 of 4936, 2022-10-18 00:00:00\n", - "Day 4696 of 4936, 2022-10-19 00:00:00\n", - "Day 4697 of 4936, 2022-10-20 00:00:00\n", - "Day 4698 of 4936, 2022-10-21 00:00:00\n", - "Day 4699 of 4936, 2022-10-24 00:00:00\n", - "Day 4700 of 4936, 2022-10-25 00:00:00\n", - "Day 4701 of 4936, 2022-10-26 00:00:00\n", - "Day 4702 of 4936, 2022-10-27 00:00:00\n", - "Day 4703 of 4936, 2022-10-28 00:00:00\n", - "Day 4704 of 4936, 2022-10-31 00:00:00\n", - "Day 4705 of 4936, 2022-11-01 00:00:00\n", - "Day 4706 of 4936, 2022-11-02 00:00:00\n", - "Day 4707 of 4936, 2022-11-03 00:00:00\n", - "Day 4708 of 4936, 2022-11-04 00:00:00\n", - "Day 4709 of 4936, 2022-11-07 00:00:00\n", - "Day 4710 of 4936, 2022-11-08 00:00:00\n", - "Day 4711 of 4936, 2022-11-09 00:00:00\n", - "Day 4712 of 4936, 2022-11-10 00:00:00\n", - "Day 4713 of 4936, 2022-11-11 00:00:00\n", - "Day 4714 of 4936, 2022-11-14 00:00:00\n", - "Day 4715 of 4936, 2022-11-15 00:00:00\n", - "Day 4716 of 4936, 2022-11-16 00:00:00\n", - "Day 4717 of 4936, 2022-11-17 00:00:00\n", - "Day 4718 of 4936, 2022-11-18 00:00:00\n", - "Day 4719 of 4936, 2022-11-21 00:00:00\n", - "Day 4720 of 4936, 2022-11-22 00:00:00\n", - "Day 4721 of 4936, 2022-11-23 00:00:00\n", - "Day 4722 of 4936, 2022-11-24 00:00:00\n", - "Day 4723 of 4936, 2022-11-25 00:00:00\n", - "Day 4724 of 4936, 2022-11-28 00:00:00\n", - "Day 4725 of 4936, 2022-11-29 00:00:00\n", - "Day 4726 of 4936, 2022-11-30 00:00:00\n", - "Day 4727 of 4936, 2022-12-01 00:00:00\n", - "Day 4728 of 4936, 2022-12-02 00:00:00\n", - "Day 4729 of 4936, 2022-12-05 00:00:00\n", - "Day 4730 of 4936, 2022-12-06 00:00:00\n", - "Day 4731 of 4936, 2022-12-07 00:00:00\n", - "Day 4732 of 4936, 2022-12-08 00:00:00\n", - "Day 4733 of 4936, 2022-12-09 00:00:00\n", - "Day 4734 of 4936, 2022-12-12 00:00:00\n", - "Day 4735 of 4936, 2022-12-13 00:00:00\n", - "Day 4736 of 4936, 2022-12-14 00:00:00\n", - "Day 4737 of 4936, 2022-12-15 00:00:00\n", - "Day 4738 of 4936, 2022-12-16 00:00:00\n", - "Day 4739 of 4936, 2022-12-19 00:00:00\n", - "Day 4740 of 4936, 2022-12-20 00:00:00\n", - "Day 4741 of 4936, 2022-12-21 00:00:00\n", - "Day 4742 of 4936, 2022-12-22 00:00:00\n", - "Day 4743 of 4936, 2022-12-23 00:00:00\n", - "Day 4744 of 4936, 2022-12-26 00:00:00\n", - "Day 4745 of 4936, 2022-12-27 00:00:00\n", - "Day 4746 of 4936, 2022-12-28 00:00:00\n", - "Day 4747 of 4936, 2022-12-29 00:00:00\n", - "Day 4748 of 4936, 2022-12-30 00:00:00\n", - "Day 4749 of 4936, 2023-01-02 00:00:00\n", - "Day 4750 of 4936, 2023-01-03 00:00:00\n", - "Day 4751 of 4936, 2023-01-04 00:00:00\n", - "Day 4752 of 4936, 2023-01-05 00:00:00\n", - "Day 4753 of 4936, 2023-01-06 00:00:00\n", - "Day 4754 of 4936, 2023-01-09 00:00:00\n", - "Day 4755 of 4936, 2023-01-10 00:00:00\n", - "Day 4756 of 4936, 2023-01-11 00:00:00\n", - "Day 4757 of 4936, 2023-01-12 00:00:00\n", - "Day 4758 of 4936, 2023-01-13 00:00:00\n", - "Day 4759 of 4936, 2023-01-16 00:00:00\n", - "Day 4760 of 4936, 2023-01-17 00:00:00\n", - "Day 4761 of 4936, 2023-01-18 00:00:00\n", - "Day 4762 of 4936, 2023-01-19 00:00:00\n", - "Day 4763 of 4936, 2023-01-20 00:00:00\n", - "Day 4764 of 4936, 2023-01-23 00:00:00\n", - "Day 4765 of 4936, 2023-01-24 00:00:00\n", - "Day 4766 of 4936, 2023-01-25 00:00:00\n", - "Day 4767 of 4936, 2023-01-26 00:00:00\n", - "Day 4768 of 4936, 2023-01-27 00:00:00\n", - "Day 4769 of 4936, 2023-01-30 00:00:00\n", - "Day 4770 of 4936, 2023-01-31 00:00:00\n", - "Day 4771 of 4936, 2023-02-01 00:00:00\n", - "Day 4772 of 4936, 2023-02-02 00:00:00\n", - "Day 4773 of 4936, 2023-02-03 00:00:00\n", - "Day 4774 of 4936, 2023-02-06 00:00:00\n", - "Day 4775 of 4936, 2023-02-07 00:00:00\n", - "Day 4776 of 4936, 2023-02-08 00:00:00\n", - "Day 4777 of 4936, 2023-02-09 00:00:00\n", - "Day 4778 of 4936, 2023-02-10 00:00:00\n", - "Day 4779 of 4936, 2023-02-13 00:00:00\n", - "Day 4780 of 4936, 2023-02-14 00:00:00\n", - "Day 4781 of 4936, 2023-02-15 00:00:00\n", - "Day 4782 of 4936, 2023-02-16 00:00:00\n", - "Day 4783 of 4936, 2023-02-17 00:00:00\n", - "Day 4784 of 4936, 2023-02-20 00:00:00\n", - "Day 4785 of 4936, 2023-02-21 00:00:00\n", - "Day 4786 of 4936, 2023-02-22 00:00:00\n", - "Day 4787 of 4936, 2023-02-23 00:00:00\n", - "Day 4788 of 4936, 2023-02-24 00:00:00\n", - "Day 4789 of 4936, 2023-02-27 00:00:00\n", - "Day 4790 of 4936, 2023-02-28 00:00:00\n", - "Day 4791 of 4936, 2023-03-01 00:00:00\n", - "Day 4792 of 4936, 2023-03-02 00:00:00\n", - "Day 4793 of 4936, 2023-03-03 00:00:00\n", - "Day 4794 of 4936, 2023-03-06 00:00:00\n", - "Day 4795 of 4936, 2023-03-07 00:00:00\n", - "Day 4796 of 4936, 2023-03-08 00:00:00\n", - "Day 4797 of 4936, 2023-03-09 00:00:00\n", - "Day 4798 of 4936, 2023-03-10 00:00:00\n", - "Day 4799 of 4936, 2023-03-13 00:00:00\n", - "Day 4800 of 4936, 2023-03-14 00:00:00\n", - "Day 4801 of 4936, 2023-03-15 00:00:00\n", - "Day 4802 of 4936, 2023-03-16 00:00:00\n", - "Day 4803 of 4936, 2023-03-17 00:00:00\n", - "Day 4804 of 4936, 2023-03-20 00:00:00\n", - "Day 4805 of 4936, 2023-03-21 00:00:00\n", - "Day 4806 of 4936, 2023-03-22 00:00:00\n", - "Day 4807 of 4936, 2023-03-23 00:00:00\n", - "Day 4808 of 4936, 2023-03-24 00:00:00\n", - "Day 4809 of 4936, 2023-03-27 00:00:00\n", - "Day 4810 of 4936, 2023-03-28 00:00:00\n", - "Day 4811 of 4936, 2023-03-29 00:00:00\n", - "Day 4812 of 4936, 2023-03-30 00:00:00\n", - "Day 4813 of 4936, 2023-03-31 00:00:00\n", - "Day 4814 of 4936, 2023-04-03 00:00:00\n", - "Day 4815 of 4936, 2023-04-04 00:00:00\n", - "Day 4816 of 4936, 2023-04-05 00:00:00\n", - "Day 4817 of 4936, 2023-04-06 00:00:00\n", - "Day 4818 of 4936, 2023-04-07 00:00:00\n", - "Day 4819 of 4936, 2023-04-10 00:00:00\n", - "Day 4820 of 4936, 2023-04-11 00:00:00\n", - "Day 4821 of 4936, 2023-04-12 00:00:00\n", - "Day 4822 of 4936, 2023-04-13 00:00:00\n", - "Day 4823 of 4936, 2023-04-14 00:00:00\n", - "Day 4824 of 4936, 2023-04-17 00:00:00\n", - "Day 4825 of 4936, 2023-04-18 00:00:00\n", - "Day 4826 of 4936, 2023-04-19 00:00:00\n", - "Day 4827 of 4936, 2023-04-20 00:00:00\n", - "Day 4828 of 4936, 2023-04-21 00:00:00\n", - "Day 4829 of 4936, 2023-04-24 00:00:00\n", - "Day 4830 of 4936, 2023-04-25 00:00:00\n", - "Day 4831 of 4936, 2023-04-26 00:00:00\n", - "Day 4832 of 4936, 2023-04-27 00:00:00\n", - "Day 4833 of 4936, 2023-04-28 00:00:00\n", - "Day 4834 of 4936, 2023-05-01 00:00:00\n", - "Day 4835 of 4936, 2023-05-02 00:00:00\n", - "Day 4836 of 4936, 2023-05-03 00:00:00\n", - "Day 4837 of 4936, 2023-05-04 00:00:00\n", - "Day 4838 of 4936, 2023-05-05 00:00:00\n", - "Day 4839 of 4936, 2023-05-08 00:00:00\n", - "Day 4840 of 4936, 2023-05-09 00:00:00\n", - "Day 4841 of 4936, 2023-05-10 00:00:00\n", - "Day 4842 of 4936, 2023-05-11 00:00:00\n", - "Day 4843 of 4936, 2023-05-12 00:00:00\n", - "Day 4844 of 4936, 2023-05-15 00:00:00\n", - "Day 4845 of 4936, 2023-05-16 00:00:00\n", - "Day 4846 of 4936, 2023-05-17 00:00:00\n", - "Day 4847 of 4936, 2023-05-18 00:00:00\n", - "Day 4848 of 4936, 2023-05-19 00:00:00\n", - "Day 4849 of 4936, 2023-05-22 00:00:00\n", - "Day 4850 of 4936, 2023-05-23 00:00:00\n", - "Day 4851 of 4936, 2023-05-24 00:00:00\n", - "Day 4852 of 4936, 2023-05-25 00:00:00\n", - "Day 4853 of 4936, 2023-05-26 00:00:00\n", - "Day 4854 of 4936, 2023-05-29 00:00:00\n", - "Day 4855 of 4936, 2023-05-30 00:00:00\n", - "Day 4856 of 4936, 2023-05-31 00:00:00\n", - "Day 4857 of 4936, 2023-06-01 00:00:00\n", - "Day 4858 of 4936, 2023-06-02 00:00:00\n", - "Day 4859 of 4936, 2023-06-05 00:00:00\n", - "Day 4860 of 4936, 2023-06-06 00:00:00\n", - "Day 4861 of 4936, 2023-06-07 00:00:00\n", - "Day 4862 of 4936, 2023-06-08 00:00:00\n", - "Day 4863 of 4936, 2023-06-09 00:00:00\n", - "Day 4864 of 4936, 2023-06-12 00:00:00\n", - "Day 4865 of 4936, 2023-06-13 00:00:00\n", - "Day 4866 of 4936, 2023-06-14 00:00:00\n", - "Day 4867 of 4936, 2023-06-15 00:00:00\n", - "Day 4868 of 4936, 2023-06-16 00:00:00\n", - "Day 4869 of 4936, 2023-06-19 00:00:00\n", - "Day 4870 of 4936, 2023-06-20 00:00:00\n", - "Day 4871 of 4936, 2023-06-21 00:00:00\n", - "Day 4872 of 4936, 2023-06-22 00:00:00\n", - "Day 4873 of 4936, 2023-06-23 00:00:00\n", - "Day 4874 of 4936, 2023-06-26 00:00:00\n", - "Day 4875 of 4936, 2023-06-27 00:00:00\n", - "Day 4876 of 4936, 2023-06-28 00:00:00\n", - "Day 4877 of 4936, 2023-06-29 00:00:00\n", - "Day 4878 of 4936, 2023-06-30 00:00:00\n", - "Day 4879 of 4936, 2023-07-03 00:00:00\n", - "Day 4880 of 4936, 2023-07-04 00:00:00\n", - "Day 4881 of 4936, 2023-07-05 00:00:00\n", - "Day 4882 of 4936, 2023-07-06 00:00:00\n", - "Day 4883 of 4936, 2023-07-07 00:00:00\n", - "Day 4884 of 4936, 2023-07-10 00:00:00\n", - "Day 4885 of 4936, 2023-07-11 00:00:00\n", - "Day 4886 of 4936, 2023-07-12 00:00:00\n", - "Day 4887 of 4936, 2023-07-13 00:00:00\n", - "Day 4888 of 4936, 2023-07-14 00:00:00\n", - "Day 4889 of 4936, 2023-07-17 00:00:00\n", - "Day 4890 of 4936, 2023-07-18 00:00:00\n", - "Day 4891 of 4936, 2023-07-19 00:00:00\n", - "Day 4892 of 4936, 2023-07-20 00:00:00\n", - "Day 4893 of 4936, 2023-07-21 00:00:00\n", - "Day 4894 of 4936, 2023-07-24 00:00:00\n", - "Day 4895 of 4936, 2023-07-25 00:00:00\n", - "Day 4896 of 4936, 2023-07-26 00:00:00\n", - "Day 4897 of 4936, 2023-07-27 00:00:00\n", - "Day 4898 of 4936, 2023-07-28 00:00:00\n", - "Day 4899 of 4936, 2023-07-31 00:00:00\n", - "Day 4900 of 4936, 2023-08-01 00:00:00\n", - "Day 4901 of 4936, 2023-08-02 00:00:00\n", - "Day 4902 of 4936, 2023-08-03 00:00:00\n", - "Day 4903 of 4936, 2023-08-04 00:00:00\n", - "Day 4904 of 4936, 2023-08-07 00:00:00\n", - "Day 4905 of 4936, 2023-08-08 00:00:00\n", - "Day 4906 of 4936, 2023-08-09 00:00:00\n", - "Day 4907 of 4936, 2023-08-10 00:00:00\n", - "Day 4908 of 4936, 2023-08-11 00:00:00\n", - "Day 4909 of 4936, 2023-08-14 00:00:00\n", - "Day 4910 of 4936, 2023-08-15 00:00:00\n", - "Day 4911 of 4936, 2023-08-16 00:00:00\n", - "Day 4912 of 4936, 2023-08-17 00:00:00\n", - "Day 4913 of 4936, 2023-08-18 00:00:00\n", - "Day 4914 of 4936, 2023-08-21 00:00:00\n", - "Day 4915 of 4936, 2023-08-22 00:00:00\n", - "Day 4916 of 4936, 2023-08-23 00:00:00\n", - "Day 4917 of 4936, 2023-08-24 00:00:00\n", - "Day 4918 of 4936, 2023-08-25 00:00:00\n", - "Day 4919 of 4936, 2023-08-28 00:00:00\n", - "Day 4920 of 4936, 2023-08-29 00:00:00\n", - "Day 4921 of 4936, 2023-08-30 00:00:00\n", - "Day 4922 of 4936, 2023-08-31 00:00:00\n", - "Day 4923 of 4936, 2023-09-01 00:00:00\n", - "Day 4924 of 4936, 2023-09-04 00:00:00\n", - "Day 4925 of 4936, 2023-09-05 00:00:00\n", - "Day 4926 of 4936, 2023-09-06 00:00:00\n", - "Day 4927 of 4936, 2023-09-07 00:00:00\n", - "Day 4928 of 4936, 2023-09-08 00:00:00\n", - "Day 4929 of 4936, 2023-09-11 00:00:00\n", - "Day 4930 of 4936, 2023-09-12 00:00:00\n", - "Day 4931 of 4936, 2023-09-13 00:00:00\n", - "Day 4932 of 4936, 2023-09-14 00:00:00\n", - "Day 4933 of 4936, 2023-09-15 00:00:00\n", - "Day 4934 of 4936, 2023-09-18 00:00:00\n", - "Day 4935 of 4936, 2023-09-19 00:00:00\n" - ] - } - ], - "source": [ - "targets = Targets(\n", - " T_max=25/252,\n", - " L_max=1.6,\n", - " risk_target=0.1/np.sqrt(252),\n", - " ) \n", - "\n", - "# hyperparameters = HyperParameters(1,1, 2.5e-3, 5e-4, 5e-2)\n", - "hyperparameters = HyperParameters(1,1, 5e-3, 5e-4, 5e-2)\n", - "\n", - "results_hard = run_hard_backtest(\n", - " solve_hard_markowitz,\n", - " targets,\n", - " hyperparameters,\n", - " None,\n", - " None,\n", - " None,\n", - " None,\n", - " verbose=True,\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 55, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "mean: 0.23254957994197567\n", - "volatility: 0.0821760668734789\n", - "max drawdown: -0.07596088189450223\n", - "max leverage: 1.6001006146803445\n", - "sharpe: 2.7240559887333116\n", - "turnover: 51.75666617621776\n" - ] - } - ], - "source": [ - "print(f\"mean: {results_hard.mean_return}\")\n", - "print(f\"volatility: {results_hard.volatility}\")\n", - "print(f\"max drawdown: {results_hard.max_drawdown}\")\n", - "print(f\"max leverage: {results_hard.max_leverage}\")\n", - "print(f\"sharpe: {results_hard.sharpe}\")\n", - "print(f\"turnover: {results_hard.turnover}\")" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "mean: 0.17456718474693494\n", - "volatility: 0.08586888364110747\n", - "max drawdown: -0.11769490015712936\n", - "max leverage: 1.6001013473239938\n", - "sharpe: 1.9317054587931972\n", - "turnover: 51.66219585932717\n" - ] - } - ], - "source": [ - "print(f\"mean: {results_hard.mean_return}\")\n", - "print(f\"volatility: {results_hard.volatility}\")\n", - "print(f\"max drawdown: {results_hard.max_drawdown}\")\n", - "print(f\"max leverage: {results_hard.max_leverage}\")\n", - "print(f\"sharpe: {results_hard.sharpe}\")\n", - "print(f\"turnover: {results_hard.turnover}\")" - ] - }, - { - "cell_type": "code", - "execution_count": 219, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "mean: 0.343762012579691\n", - "volatility: 0.08024008223790434\n", - "max drawdown: -0.05845283257323575\n", - "max leverage: 1.600167639172014\n", - "sharpe: 4.175623505154787\n", - "turnover: 51.777695861245746\n" - ] - } - ], - "source": [ - "print(f\"mean: {results_hard.mean_return}\")\n", - "print(f\"volatility: {results_hard.volatility}\")\n", - "print(f\"max drawdown: {results_hard.max_drawdown}\")\n", - "print(f\"max leverage: {results_hard.max_leverage}\")\n", - "print(f\"sharpe: {results_hard.sharpe}\")\n", - "print(f\"turnover: {results_hard.turnover}\")" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Day 500 of 4940, 2006-09-19 00:00:00\n", - "Day 600 of 4940, 2007-02-06 00:00:00\n", - "Day 700 of 4940, 2007-06-26 00:00:00\n", - "Day 800 of 4940, 2007-11-13 00:00:00\n", - "Day 900 of 4940, 2008-04-01 00:00:00\n", - "Day 1000 of 4940, 2008-08-19 00:00:00\n", - "Day 1100 of 4940, 2009-01-06 00:00:00\n", - "Day 1200 of 4940, 2009-05-26 00:00:00\n", - "Day 1300 of 4940, 2009-10-13 00:00:00\n", - "Day 1400 of 4940, 2010-03-02 00:00:00\n", - "Day 1500 of 4940, 2010-07-20 00:00:00\n", - "Day 1600 of 4940, 2010-12-07 00:00:00\n", - "Day 1700 of 4940, 2011-04-26 00:00:00\n", - "Day 1800 of 4940, 2011-09-13 00:00:00\n", - "Day 1900 of 4940, 2012-01-31 00:00:00\n", - "Day 2000 of 4940, 2012-06-19 00:00:00\n", - "Day 2100 of 4940, 2012-11-06 00:00:00\n", - "Day 2200 of 4940, 2013-03-26 00:00:00\n", - "Day 2300 of 4940, 2013-08-13 00:00:00\n", - "Day 2400 of 4940, 2013-12-31 00:00:00\n", - "Day 2500 of 4940, 2014-05-20 00:00:00\n", - "Day 2600 of 4940, 2014-10-07 00:00:00\n", - "Day 2700 of 4940, 2015-02-24 00:00:00\n", - "Day 2800 of 4940, 2015-07-14 00:00:00\n", - "Day 2900 of 4940, 2015-12-01 00:00:00\n", - "Day 3000 of 4940, 2016-04-19 00:00:00\n", - "Day 3100 of 4940, 2016-09-06 00:00:00\n", - "Day 3200 of 4940, 2017-01-24 00:00:00\n", - "Day 3300 of 4940, 2017-06-13 00:00:00\n", - "Day 3400 of 4940, 2017-10-31 00:00:00\n", - "Day 3500 of 4940, 2018-03-20 00:00:00\n", - "Day 3600 of 4940, 2018-08-07 00:00:00\n", - "Day 3700 of 4940, 2018-12-25 00:00:00\n", - "Day 3800 of 4940, 2019-05-14 00:00:00\n", - "Day 3900 of 4940, 2019-10-01 00:00:00\n", - "Day 4000 of 4940, 2020-02-18 00:00:00\n", - "Day 4100 of 4940, 2020-07-07 00:00:00\n", - "Day 4200 of 4940, 2020-11-24 00:00:00\n", - "Day 4300 of 4940, 2021-04-13 00:00:00\n", - "Day 4400 of 4940, 2021-08-31 00:00:00\n", - "Day 4500 of 4940, 2022-01-18 00:00:00\n", - "Day 4600 of 4940, 2022-06-07 00:00:00\n", - "Day 4700 of 4940, 2022-10-25 00:00:00\n", - "Day 4800 of 4940, 2023-03-14 00:00:00\n", - "Day 4900 of 4940, 2023-08-01 00:00:00\n" - ] - } - ], - "source": [ - "targets = Targets(\n", - " T_max=25/252,\n", - " L_max=1.6,\n", - " risk_target=0.1/np.sqrt(252),\n", - " ) \n", - "\n", - "# hyperparameters = HyperParameters(1,1, 2.5e-3, 5e-4, 5e-2)\n", - "hyperparameters = HyperParameters(1,1, 5e-3, 5e-4, 5e-2)\n", - "\n", - "results_soft = run_soft_backtest(\n", - " full_markowitz,\n", - " targets,\n", - " hyperparameters,\n", - " None,\n", - " None,\n", - " None,\n", - " None,\n", - " verbose=True,\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "mean: 38.6%\n", - "volatility: 8.7%\n", - "max drawdown: -6.9%\n", - "max leverage: 1.75\n", - "sharpe: 4.32\n", - "turnover: 28.02\n" - ] - } - ], - "source": [ - "print(f\"mean: {results_soft.mean_return:.1%}\")\n", - "print(f\"volatility: {results_soft.volatility:.1%}\")\n", - "print(f\"max drawdown: {results_soft.max_drawdown:.1%}\")\n", - "print(f\"max leverage: {results_soft.max_leverage:.2f}\")\n", - "print(f\"sharpe: {results_soft.sharpe:.2f}\")\n", - "print(f\"turnover: {results_soft.turnover:.2f}\")" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "prices_train = all_prices[15]\n", - "time_last = prices_train.index[-1]\n", - "\n", - "prices_test = prices.loc[time_last:].iloc[1:1+250,:]\n", - "\n", - "prices_train_test = pd.concat([prices_train, prices_test], axis=0)\n", - "spread_train_test = spread.loc[prices_train_test.index]\n", - "volume_train_test = volume.loc[prices_train_test.index]\n", - "rf_train_test = rf.loc[prices_train_test.index]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Tuning" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Initial sharpes: 4.895204153453424, 4.466158230695598\n", - "Turnover: 25.868663046636925, 25.92137200477525\n", - "Leverage: 1.6186006317955228, 1.6000339551262528\n", - "Risk: 0.07952658893980412, 0.08674287219471086\n", - "\n", - "Iteration number 1; current sharpes: (4.906567879273458, 5.029174560262121)\n", - "Hyperparameters: HyperParameters(gamma_hold=0.8, gamma_trade=1, gamma_turn=0.005, gamma_leverage=0.0005, gamma_risk=0.05)\n", - "Turnover: 25.873973604764654, 25.919954904704024\n", - "Leverage: 1.600100638045306, 1.6000376827305922\n", - "Risk: 0.0780711574780827, 0.0860497701966717\n", - "\n", - "Iteration number 2; current sharpes: (4.933550088861033, 4.7794732019350965)\n", - "Hyperparameters: HyperParameters(gamma_hold=0.8, gamma_trade=0.8, gamma_turn=0.005, gamma_leverage=0.0005, gamma_risk=0.05)\n", - "Turnover: 26.508451920352616, 26.528259895120573\n", - "Leverage: 1.6198041244898504, 1.6000416713897074\n", - "Risk: 0.07931785670974649, 0.08537670813249797\n", - "\n", - "Iteration number 3; current sharpes: (4.956131020309898, 5.193561250322522)\n", - "Hyperparameters: HyperParameters(gamma_hold=0.8, gamma_trade=0.8, gamma_turn=0.004, gamma_leverage=0.0005, gamma_risk=0.05)\n", - "Turnover: 26.531479700013065, 26.49702350590303\n", - "Leverage: 1.669631498394052, 1.600032215667156\n", - "Risk: 0.07793967544976937, 0.08480422211573069\n", - "\n", - "Iteration number 4; current sharpes: (5.06113426953052, 5.2215987222279825)\n", - "Hyperparameters: HyperParameters(gamma_hold=0.8, gamma_trade=0.8, gamma_turn=0.004, gamma_leverage=0.0004, gamma_risk=0.05)\n", - "In a row: 1\n", - "\n", - "Iteration number 5; current sharpes: (5.06113426953052, 5.2215987222279825)\n", - "Hyperparameters: HyperParameters(gamma_hold=0.8, gamma_trade=0.8, gamma_turn=0.004, gamma_leverage=0.0004, gamma_risk=0.05)\n", - "In a row: 2\n", - "\n", - "Iteration number 6; current sharpes: (5.06113426953052, 5.2215987222279825)\n", - "Hyperparameters: HyperParameters(gamma_hold=0.8, gamma_trade=0.8, gamma_turn=0.004, gamma_leverage=0.0004, gamma_risk=0.05)\n", - "Turnover: 26.598178860121887, 26.666022287235233\n", - "Leverage: 1.638707096416884, 1.6099740789023007\n", - "Risk: 0.07723915855636763, 0.08662490096477667\n", - "\n", - "Iteration number 7; current sharpes: (5.1005519611244665, 4.403707551392643)\n", - "Hyperparameters: HyperParameters(gamma_hold=0.8, gamma_trade=0.6400000000000001, gamma_turn=0.004, gamma_leverage=0.0004, gamma_risk=0.05)\n", - "Turnover: 33.8345640340799, 33.59539691169098\n", - "Leverage: 1.663206606188946, 1.6650413691037194\n", - "Risk: 0.07837835266451697, 0.0868014754853586\n", - "\n", - "Iteration number 8; current sharpes: (5.385741266201897, 5.619463763356395)\n", - "Hyperparameters: HyperParameters(gamma_hold=0.8, gamma_trade=0.6400000000000001, gamma_turn=0.0032, gamma_leverage=0.0004, gamma_risk=0.05)\n", - "Turnover: 33.81898788382296, 33.45108876569708\n", - "Leverage: 1.6612888672640922, 1.6000557155158828\n", - "Risk: 0.07805834377412815, 0.08726251301605242\n", - "\n", - "Iteration number 9; current sharpes: (5.449714766596477, 5.573710964213763)\n", - "Hyperparameters: HyperParameters(gamma_hold=0.8, gamma_trade=0.6400000000000001, gamma_turn=0.0032, gamma_leverage=0.0005, gamma_risk=0.05)\n", - "Turnover: 33.84483636244151, 33.42298593227558\n", - "Leverage: 1.6154604922754825, 1.6000884097379549\n", - "Risk: 0.07830790139465275, 0.08551706989487985\n", - "\n", - "Iteration number 10; current sharpes: (5.551850260509978, 5.539564038403836)\n", - "Hyperparameters: HyperParameters(gamma_hold=0.8, gamma_trade=0.6400000000000001, gamma_turn=0.0032, gamma_leverage=0.0005, gamma_risk=0.0625)\n", - "Turnover: 33.912260723246355, 34.19049647479595\n", - "Leverage: 1.667595162814015, 1.6000838802073531\n", - "Risk: 0.0756980003681469, 0.08166046445090278\n", - "\n", - "Iteration number 11; current sharpes: (5.683093204434133, 6.006581799149023)\n", - "Hyperparameters: HyperParameters(gamma_hold=0.6400000000000001, gamma_trade=0.6400000000000001, gamma_turn=0.0032, gamma_leverage=0.0005, gamma_risk=0.0625)\n", - "Turnover: 34.45966407629592, 34.32779627570075\n", - "Leverage: 1.6836191267801994, 1.6233599359699136\n", - "Risk: 0.07478953580548485, 0.08203593140887365\n", - "\n", - "Iteration number 12; current sharpes: (5.844008341458903, 5.585210247805996)\n", - "Hyperparameters: HyperParameters(gamma_hold=0.6400000000000001, gamma_trade=0.5120000000000001, gamma_turn=0.0032, gamma_leverage=0.0005, gamma_risk=0.0625)\n", - "Turnover: 58.13080493623823, 58.23376000672983\n", - "In a row: 1\n", - "\n", - "Iteration number 13; current sharpes: (5.844008341458903, 5.585210247805996)\n", - "Hyperparameters: HyperParameters(gamma_hold=0.6400000000000001, gamma_trade=0.5120000000000001, gamma_turn=0.0032, gamma_leverage=0.0005, gamma_risk=0.0625)\n", - "Turnover: 34.449334963932465, 34.335592876850804\n", - "Leverage: 1.6001262438061428, 1.6000893240960197\n", - "Risk: 0.07427712696751423, 0.08168598124193617\n", - "\n", - "Iteration number 14; current sharpes: (5.849939265738205, 5.648377542078701)\n", - "Hyperparameters: HyperParameters(gamma_hold=0.6400000000000001, gamma_trade=0.5120000000000001, gamma_turn=0.0032, gamma_leverage=0.000625, gamma_risk=0.0625)\n", - "Turnover: 34.52535428975079, 34.61655437630071\n", - "Leverage: 1.6001288462569172, 1.6000972220836525\n", - "Risk: 0.07554109756764311, 0.0839522663177649\n", - "\n", - "Iteration number 15; current sharpes: (5.926940856181873, 5.5448672136083665)\n", - "Hyperparameters: HyperParameters(gamma_hold=0.6400000000000001, gamma_trade=0.5120000000000001, gamma_turn=0.0032, gamma_leverage=0.000625, gamma_risk=0.05)\n", - "In a row: 1\n", - "\n", - "Iteration number 16; current sharpes: (5.926940856181873, 5.5448672136083665)\n", - "Hyperparameters: HyperParameters(gamma_hold=0.6400000000000001, gamma_trade=0.5120000000000001, gamma_turn=0.0032, gamma_leverage=0.000625, gamma_risk=0.05)\n", - "Turnover: 34.13146099294868, 34.264153852108876\n", - "Leverage: 1.6001175202526545, 1.600087311902704\n", - "Risk: 0.07553208574261541, 0.08300384626633951\n", - "\n", - "Iteration number 17; current sharpes: (5.929411018055647, 6.004851802000802)\n", - "Hyperparameters: HyperParameters(gamma_hold=0.6400000000000001, gamma_trade=0.6400000000000001, gamma_turn=0.0032, gamma_leverage=0.000625, gamma_risk=0.05)\n", - "Turnover: 57.09961225516683, 56.85638832330079\n", - "In a row: 1\n", - "\n", - "Iteration number 18; current sharpes: (5.929411018055647, 6.004851802000802)\n", - "Hyperparameters: HyperParameters(gamma_hold=0.6400000000000001, gamma_trade=0.6400000000000001, gamma_turn=0.0032, gamma_leverage=0.000625, gamma_risk=0.05)\n", - "Turnover: 34.14038774585627, 34.31327379092539\n", - "Leverage: 1.6555481011503623, 1.6000881175759436\n", - "Risk: 0.07538578444948515, 0.08288975892294523\n", - "\n", - "Iteration number 19; current sharpes: (5.961475100803022, 6.016831913268215)\n", - "Hyperparameters: HyperParameters(gamma_hold=0.6400000000000001, gamma_trade=0.6400000000000001, gamma_turn=0.0032, gamma_leverage=0.0005, gamma_risk=0.05)\n", - "Turnover: 33.94266873317484, 34.22218446927415\n", - "Leverage: 1.6726516859851932, 1.600105748133858\n", - "Risk: 0.07729316531932444, 0.08564099890703317\n", - "\n", - "Iteration number 20; current sharpes: (6.054732462251066, 5.9861553058379515)\n", - "Hyperparameters: HyperParameters(gamma_hold=0.6400000000000001, gamma_trade=0.6400000000000001, gamma_turn=0.0032, gamma_leverage=0.0005, gamma_risk=0.04000000000000001)\n", - "In a row: 1\n", - "\n", - "Iteration number 21; current sharpes: (6.054732462251066, 5.9861553058379515)\n", - "Hyperparameters: HyperParameters(gamma_hold=0.6400000000000001, gamma_trade=0.6400000000000001, gamma_turn=0.0032, gamma_leverage=0.0005, gamma_risk=0.04000000000000001)\n", - "In a row: 2\n", - "\n", - "Iteration number 22; current sharpes: (6.054732462251066, 5.9861553058379515)\n", - "Hyperparameters: HyperParameters(gamma_hold=0.6400000000000001, gamma_trade=0.6400000000000001, gamma_turn=0.0032, gamma_leverage=0.0005, gamma_risk=0.04000000000000001)\n", - "Turnover: 56.90910039635444, 57.33572179868827\n", - "In a row: 3\n", - "\n", - "Iteration number 23; current sharpes: (6.054732462251066, 5.9861553058379515)\n", - "Hyperparameters: HyperParameters(gamma_hold=0.6400000000000001, gamma_trade=0.6400000000000001, gamma_turn=0.0032, gamma_leverage=0.0005, gamma_risk=0.04000000000000001)\n", - "In a row: 4\n", - "\n", - "Iteration number 24; current sharpes: (6.054732462251066, 5.9861553058379515)\n", - "Hyperparameters: HyperParameters(gamma_hold=0.6400000000000001, gamma_trade=0.6400000000000001, gamma_turn=0.0032, gamma_leverage=0.0005, gamma_risk=0.04000000000000001)\n", - "Done!\n" - ] - } - ], - "source": [ - "parameter_dict, best_backtest = tune_parameters(\n", - " full_markowitz,\n", - " prices_train_test,\n", - " spread_train_test, \n", - " volume_train_test,\n", - " rf_train_test,\n", - " train_len=500,\n", - " verbose=True,\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 125, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "500" - ] - }, - "execution_count": 125, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "train_len" - ] - }, - { - "cell_type": "code", - "execution_count": 122, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "HyperParameters(gamma_hold=0.6400000000000001, gamma_trade=0.6400000000000001, gamma_turn=0.0016, gamma_leverage=0.0005, gamma_risk=0.04000000000000001)" - ] - }, - "execution_count": 122, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "parameter_dict[best_backtest][0]" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'parameter_dict' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[13], line 51\u001b[0m\n\u001b[1;32m 47\u001b[0m \u001b[39mreturn\u001b[39;00m turnover_train, turnover_test\n\u001b[1;32m 49\u001b[0m \u001b[39m# SR_best_train = 0\u001b[39;00m\n\u001b[1;32m 50\u001b[0m \u001b[39m# SR_best_test = 0\u001b[39;00m\n\u001b[0;32m---> 51\u001b[0m \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m parameter_dict\u001b[39m.\u001b[39mkeys():\n\u001b[1;32m 52\u001b[0m sharpe_train, sharpe_test \u001b[39m=\u001b[39m sharpes(parameter_dict[i][\u001b[39m-\u001b[39m\u001b[39m1\u001b[39m])\n\u001b[1;32m 53\u001b[0m vola_train, vola_test \u001b[39m=\u001b[39m volas(parameter_dict[i][\u001b[39m-\u001b[39m\u001b[39m1\u001b[39m])\n", - "\u001b[0;31mNameError\u001b[0m: name 'parameter_dict' is not defined" - ] - } - ], - "source": [ - "sharpe_ratios_train = []\n", - "sharpe_ratios_test = []\n", - "volas_train = []\n", - "volas_test = []\n", - "leverages_train = []\n", - "leverages_test = []\n", - "turnovers_train = []\n", - "turnovers_test = []\n", - "\n", - "gamma_holds = []\n", - "gamma_trades = []\n", - "gamma_turns = []\n", - "gamma_leverages = []\n", - "gamma_risks = []\n", - "\n", - "train_len = 500\n", - "test_len = len(prices_train_test) - 500 - train_len\n", - "\n", - "def sharpes(results):\n", - " returns_train = results.portfolio_returns.iloc[:-test_len]\n", - " returns_test = results.portfolio_returns.iloc[-test_len:]\n", - " sharpe_train = np.sqrt(results.periods_per_year)*returns_train.mean()/returns_train.std()\n", - " sharpe_test = np.sqrt(results.periods_per_year)*returns_test.mean()/returns_test.std()\n", - "\n", - " return sharpe_train, sharpe_test\n", - "\n", - "def volas(results):\n", - " vola_train = np.sqrt(results.periods_per_year)*results.portfolio_returns.iloc[:-test_len].std()\n", - " vola_test = np.sqrt(results.periods_per_year)*results.portfolio_returns.iloc[-test_len:].std()\n", - " \n", - " return vola_train, vola_test\n", - "\n", - "def leverages(results):\n", - " leverage_train = results.asset_weights.abs().iloc[:-test_len].sum(axis=1).max()\n", - " leverage_test = results.asset_weights.abs().iloc[-test_len:].sum(axis=1).max()\n", - " \n", - " return leverage_train, leverage_test\n", - "\n", - "def turnovers(results):\n", - " trades = results.quantities.diff()\n", - " valuation_trades = (trades * prices).dropna()\n", - " relative_trades = valuation_trades.div(results.portfolio_value, axis=0)\n", - "\n", - " turnover_train = relative_trades.abs().sum(axis=1).iloc[:-test_len].mean() * results.periods_per_year / 2\n", - " turnover_test = relative_trades.abs().sum(axis=1).iloc[-test_len:].mean() * results.periods_per_year / 2\n", - "\n", - " return turnover_train, turnover_test\n", - "\n", - "for i in parameter_dict.keys():\n", - " sharpe_train, sharpe_test = sharpes(parameter_dict[i][-1])\n", - " vola_train, vola_test = volas(parameter_dict[i][-1])\n", - " leverage_train, leverage_test = leverages(parameter_dict[i][-1])\n", - " turnover_train, turnover_test = turnovers(parameter_dict[i][-1])\n", - "\n", - " sharpe_ratios_train.append(sharpe_train)\n", - " sharpe_ratios_test.append(sharpe_test)\n", - " \n", - " volas_train.append(vola_train)\n", - " volas_test.append(vola_test)\n", - " \n", - " leverages_train.append(leverage_train)\n", - " leverages_test.append(leverage_test)\n", - " \n", - " turnovers_train.append(turnover_train)\n", - " turnovers_test.append(turnover_test)\n", - " \n", - " gamma_holds.append(parameter_dict[i][0].gamma_hold)\n", - " gamma_trades.append(parameter_dict[i][0].gamma_trade)\n", - " gamma_turns.append(parameter_dict[i][0].gamma_turn)\n", - " gamma_leverages.append(parameter_dict[i][0].gamma_leverage)\n", - " gamma_risks.append(parameter_dict[i][0].gamma_risk)" - ] - }, - { - "cell_type": "code", - "execution_count": 232, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "backtests = np.arange(1, len(sharpe_ratios_train)+1)\n", - "\n", - "plt.plot(backtests, sharpe_ratios_train, label=\"in-sample\", marker=\"o\")\n", - "plt.plot(backtests, sharpe_ratios_test, label=\"out-of-sample\", marker=\"o\")\n", - "plt.ylabel(\"Sharpe ratio\")\n", - "plt.xlabel(\"Number of backtests\")\n", - "plt.xticks(backtests)\n", - "# only show every 5th tick\n", - "plt.gca().xaxis.set_major_locator(plt.MultipleLocator(5))\n", - "\n", - "plt.legend()\n", - "plt.ylim(3, 7)\n", - "\n", - "# save figure as pdf\n", - "# plt.savefig(\"../../../markowitz/figures/tuning_SR.pdf\", bbox_inches='tight')" - ] - }, - { - "cell_type": "code", - "execution_count": 239, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(backtests, volas_train, label=\"train\", marker=\"o\")\n", - "plt.plot(backtests, volas_test, label=\"test\", marker=\"o\")\n", - "plt.ylabel(\"Volatility\")\n", - "plt.xlabel(\"Number of backtests\")\n", - "plt.xticks(backtests)\n", - "plt.gca().xaxis.set_major_locator(plt.MultipleLocator(5))\n", - "plt.ylim(0.0, 0.12)\n", - "# plt.savefig(\"../../../markowitz/figures/tuning_vola.pdf\", bbox_inches='tight')\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 240, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(backtests, leverages_train, label=\"train\", marker=\"o\")\n", - "plt.plot(backtests, leverages_test, label=\"test\", marker=\"o\")\n", - "plt.ylabel(\"Leverage\")\n", - "plt.xlabel(\"Number of backtests\")\n", - "plt.xticks(backtests)\n", - "plt.gca().xaxis.set_major_locator(plt.MultipleLocator(5))\n", - "\n", - "\n", - "# plt.legend()\n", - "plt.ylim(1, 2)\n", - "# plt.savefig(\"../../../markowitz/figures/tuning_lev.pdf\", bbox_inches='tight')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 241, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(backtests, turnovers_train, label=\"train\", marker=\"o\")\n", - "plt.plot(backtests, turnovers_test, label=\"test\", marker=\"o\")\n", - "plt.ylabel(\"Turnover\")\n", - "plt.xlabel(\"Number of backtests\")\n", - "plt.xticks(backtests)\n", - "plt.gca().xaxis.set_major_locator(plt.MultipleLocator(5))\n", - "\n", - "\n", - "\n", - "# plt.legend()\n", - "plt.ylim(40, 100)\n", - "# plt.savefig(\"../../../markowitz/figures/tuning_turn.pdf\", bbox_inches='tight')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Full tuning" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "all_prices = []\n", - "all_spreads = []\n", - "all_volumes = []\n", - "all_rfs = []\n", - "\n", - "# retune every year \n", - "tuning_frequency = 250 # 1 year\n", - "\n", - "t_start = 500\n", - "n_periods = int(np.floor(len(prices) / tuning_frequency))\n", - "\n", - "for i in range(1, n_periods): # first 500 are discarded\n", - " t_start = (i-1)*tuning_frequency\n", - " t_end = (i-1)*tuning_frequency + 1000\n", - "\n", - " all_prices.append(prices.iloc[t_start:t_end])\n", - " all_spreads.append(spread.iloc[t_start:t_end])\n", - " all_volumes.append(volume.iloc[t_start:t_end])\n", - " all_rfs.append(rf.iloc[t_start:t_end])\n", - "\n", - "# remove all of length less than 500\n", - "all_prices = [x for x in all_prices if len(x) == 1000]\n", - "all_spreads = [x for x in all_spreads if len(x) == 1000]\n", - "all_volumes = [x for x in all_volumes if len(x) == 1000]\n", - "all_rfs = [x for x in all_rfs if len(x) == 1000]" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Done!\n", - "Done!\n", - "Done!\n", - "Done!\n", - "Done!\n", - "Done!\n", - "Done!\n", - "Done!\n", - "Done!\n", - "Done!\n", - "Done!\n", - "Done!\n", - "Done!\n", - "Done!\n", - "Done!\n", - "Done!\n", - "Done!\n", - "Done!\n", - "Done!\n", - "Done!\n", - "Done!\n" - ] - } - ], - "source": [ - "tuning_results = tune_in_parallel(\n", - " all_prices,\n", - " all_spreads,\n", - " all_volumes,\n", - " all_rfs,\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 149, - "metadata": {}, - "outputs": [], - "source": [ - "tuning_results = results_quarterly" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "parameters = {}\n", - "for i, res in enumerate(tuning_results):\n", - " time = all_prices[i].index[-1]\n", - " best_backtest = res[-1]\n", - " parameters[time] = res[0][best_backtest][0]\n", - "\n", - "parameters_df = pd.DataFrame(index=prices.index, columns=[\"gamma_hold\", \"gamma_trade\", \"gamma_turn\", \"gamma_leverage\", \"gamma_risk\"])\n", - "\n", - "for time in parameters.keys():\n", - " params = parameters[time]\n", - " parameters_df.loc[time] = [params.gamma_hold, params.gamma_trade, params.gamma_turn, params.gamma_leverage, params.gamma_risk]\n", - "\n", - "default = HyperParameters(1,1, 5e-3, 5e-4, 5e-2)\n", - "\n", - "parameters_df.iloc[0] = [default.gamma_hold, default.gamma_trade, default.gamma_turn, default.gamma_leverage, default.gamma_risk]\n", - "\n", - "parameters_df = parameters_df.ffill()" - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Day 500 of 4940, 2006-09-19 00:00:00\n", - "Day 600 of 4940, 2007-02-06 00:00:00\n", - "Day 700 of 4940, 2007-06-26 00:00:00\n", - "Day 800 of 4940, 2007-11-13 00:00:00\n", - "Day 900 of 4940, 2008-04-01 00:00:00\n", - "Day 1000 of 4940, 2008-08-19 00:00:00\n", - "Day 1100 of 4940, 2009-01-06 00:00:00\n", - "Day 1200 of 4940, 2009-05-26 00:00:00\n", - "Day 1300 of 4940, 2009-10-13 00:00:00\n", - "Day 1400 of 4940, 2010-03-02 00:00:00\n", - "Day 1500 of 4940, 2010-07-20 00:00:00\n", - "Day 1600 of 4940, 2010-12-07 00:00:00\n", - "Day 1700 of 4940, 2011-04-26 00:00:00\n", - "Day 1800 of 4940, 2011-09-13 00:00:00\n", - "Day 1900 of 4940, 2012-01-31 00:00:00\n", - "Day 2000 of 4940, 2012-06-19 00:00:00\n", - "Day 2100 of 4940, 2012-11-06 00:00:00\n", - "Day 2200 of 4940, 2013-03-26 00:00:00\n", - "Day 2300 of 4940, 2013-08-13 00:00:00\n", - "Day 2400 of 4940, 2013-12-31 00:00:00\n", - "Day 2500 of 4940, 2014-05-20 00:00:00\n", - "Day 2600 of 4940, 2014-10-07 00:00:00\n", - "Day 2700 of 4940, 2015-02-24 00:00:00\n", - "Day 2800 of 4940, 2015-07-14 00:00:00\n", - "Day 2900 of 4940, 2015-12-01 00:00:00\n", - "Day 3000 of 4940, 2016-04-19 00:00:00\n", - "Day 3100 of 4940, 2016-09-06 00:00:00\n", - "Day 3200 of 4940, 2017-01-24 00:00:00\n", - "Day 3300 of 4940, 2017-06-13 00:00:00\n", - "Day 3400 of 4940, 2017-10-31 00:00:00\n", - "Day 3500 of 4940, 2018-03-20 00:00:00\n", - "Day 3600 of 4940, 2018-08-07 00:00:00\n", - "Day 3700 of 4940, 2018-12-25 00:00:00\n", - "Day 3800 of 4940, 2019-05-14 00:00:00\n", - "Day 3900 of 4940, 2019-10-01 00:00:00\n", - "Day 4000 of 4940, 2020-02-18 00:00:00\n", - "Day 4100 of 4940, 2020-07-07 00:00:00\n", - "Day 4200 of 4940, 2020-11-24 00:00:00\n", - "Day 4300 of 4940, 2021-04-13 00:00:00\n", - "Day 4400 of 4940, 2021-08-31 00:00:00\n", - "Day 4500 of 4940, 2022-01-18 00:00:00\n", - "Day 4600 of 4940, 2022-06-07 00:00:00\n", - "Day 4700 of 4940, 2022-10-25 00:00:00\n", - "Day 4800 of 4940, 2023-03-14 00:00:00\n", - "Day 4900 of 4940, 2023-08-01 00:00:00\n" - ] - } - ], - "source": [ - "hyperparameters = HyperParameters(\n", - " gamma_hold=parameters_df.gamma_hold,\n", - " gamma_trade=parameters_df.gamma_trade,\n", - " gamma_turn=parameters_df.gamma_turn,\n", - " gamma_leverage=parameters_df.gamma_leverage,\n", - " gamma_risk=parameters_df.gamma_risk,\n", - ")\n", - "\n", - "targets = Targets(\n", - " T_max=25/252,\n", - " L_max=1.6,\n", - " risk_target=0.1/np.sqrt(252),\n", - ")\n", - "\n", - "results_fully_tuned = run_soft_backtest(\n", - " full_markowitz,\n", - " targets=targets,\n", - " hyperparameters=hyperparameters,\n", - " verbose=True,\n", - " )" - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "mean: 21.6%\n", - "volatility: 9.2%\n", - "max drawdown: -12.2%\n", - "max leverage: 2.52\n", - "sharpe: 2.25\n", - "turnover: 74.43\n" - ] - } - ], - "source": [ - "print(f\"mean: {results_fully_tuned.mean_return:.1%}\")\n", - "print(f\"volatility: {results_fully_tuned.volatility:.1%}\")\n", - "print(f\"max drawdown: {results_fully_tuned.max_drawdown:.1%}\")\n", - "print(f\"max leverage: {results_fully_tuned.max_leverage:.2f}\")\n", - "print(f\"sharpe: {results_fully_tuned.sharpe:.2f}\")\n", - "print(f\"turnover: {results_fully_tuned.turnover:.2f}\")" - ] - }, - { - "cell_type": "code", - "execution_count": 185, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "mean: 41.8%\n", - "volatility: 8.8%\n", - "max drawdown: -6.4%\n", - "max leverage: 1.63\n", - "sharpe: 4.65\n", - "turnover: 77.22\n" - ] - } - ], - "source": [ - "print(f\"mean: {results_fully_tuned.mean_return:.1%}\")\n", - "print(f\"volatility: {results_fully_tuned.volatility:.1%}\")\n", - "print(f\"max drawdown: {results_fully_tuned.max_drawdown:.1%}\")\n", - "print(f\"max leverage: {results_fully_tuned.max_leverage:.2f}\")\n", - "print(f\"sharpe: {results_fully_tuned.sharpe:.2f}\")\n", - "print(f\"turnover: {results_fully_tuned.turnover:.2f}\")" - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Index(['gamma_hold', 'gamma_trade', 'gamma_turn', 'gamma_leverage',\n", - " 'gamma_risk'],\n", - " dtype='object')" - ] - }, - "execution_count": 43, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "parameters_df.columns" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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VUFCgsWPH6tprr9W2bdt8ax566CE98cQTWrBggXbs2KGHHnpIDz/8sObPn1/zZwYAAJqUEBPgyxl9+/ZVnz59tGDBAkmS1+tVfHy8Jk6cqGnTpp22PjY2Vvfee69SUlJ8266//no5nU4tXbpUkvTb3/5W0dHRevbZZ6td83M8Ho+ioqJUWloql8sVyFMCAAANJJDzd0CvtBw7dkxbtmxRcnLyf3cQGqrk5GTl5uZW+ZiKigpFRET4bXM6ncrJyfF9ffnllysrK0u7d++WJH366afKycnRoEGDAhkPAAA0YWGBLP76669VWVmp6Ohov+3R0dHauXNnlY9xu92aO3eu+vfvr44dOyorK0tvvPGGKisrfWumTZsmj8ejLl26qFmzZqqsrNT999+v4cOHVztLRUWFKioqfF97PJ5AngoAALBM0N89NG/ePF144YXq0qWLwsPDNWHCBI0ePVqhof899IoVK7Rs2TK99NJL2rp1q55//nnNmTNHzz//fLX7TU9PV1RUlO8WHx8f7KcCAAAaUEDRcv7556tZs2YqKSnx215SUqKYmJgqH9OqVSutWrVK5eXl+uKLL7Rz5061bNlSHTp08K2ZMmWKpk2bpptuukmXXnqpbrvtNk2ePFnp6enVzpKWlqbS0lLfraioKJCnAgAALBNQtISHh6tXr17KysrybfN6vcrKylJSUtJPPjYiIkJxcXE6ceKEXn/9dV199dW++77//nu/V14kqVmzZvJ6vdXuz+FwyOVy+d0AAEDTFdA1LZKUmpqqkSNHqnfv3rrsssv02GOPqby8XKNHj5YkjRgxQnFxcb5XST7++GPt379f3bt31/79+/XnP/9ZXq9XU6dO9e1z6NChuv/++9WuXTtdcskl2rZtm+bOnavbb7+9jp4mAACwXcDRMmzYMH311VeaMWOGiouL1b17d2VmZvouzt23b5/fqyZHjx7V9OnTVVhYqJYtW2rw4MF68cUXdfbZZ/vWzJ8/X/fdd5/Gjx+vgwcPKjY2VnfeeadmzJhR+2cIAACahIA/p6Wx4nNaAACwT9A+pwUAAKChEC0AAMAKRAsAALAC0QIAAKxAtAAAACsQLQAAwApECwAAsALRAgAArEC0AAAAKxAtAADACkQLAACwAtECAACsQLQAAAArEC0AAMAKRAsAALAC0QIAAKxAtAAAACsQLQAAwApECwAAsALRAgAArEC0AAAAKxAtAADACkQLAACwAtECAACsQLQAAAArEC0AAMAKRAsAALAC0QIAAKxAtAAAACsQLQAAwApECwAAsALRAgAArEC0AAAAKxAtAADACkQLAACwAtECAACsQLQAAAArEC0AAMAKRAsAALAC0QIAAKxAtAAAACsQLQAAwApECwAAsALRAgAArEC0AAAAKxAtAADACkQLAACwAtECAACsQLQAAAArEC0AAMAKRAsAALAC0QIAAKxAtAAAACsQLQAAwApECwAAsALRAgAArEC0AAAAK9QoWjIyMtS+fXtFRESob9++2rRpU7Vrjx8/rtmzZ6tjx46KiIhQYmKiMjMzT1u3f/9+3XrrrTrvvPPkdDp16aWXavPmzTUZDwAANEEBR8srr7yi1NRUzZw5U1u3blViYqLcbrcOHjxY5frp06dr0aJFmj9/vgoKCjR27Fhde+212rZtm2/Nd999p379+ql58+Z69913VVBQoEceeUTnnHNOzZ8ZAABoUkKMMSaQB/Tt21d9+vTRggULJEler1fx8fGaOHGipk2bdtr62NhY3XvvvUpJSfFtu/766+V0OrV06VJJ0rRp0/Thhx/qgw8+qPET8Xg8ioqKUmlpqVwuV433AwAA6k8g5++AXmk5duyYtmzZouTk5P/uIDRUycnJys3NrfIxFRUVioiI8NvmdDqVk5Pj+/qtt95S79699bvf/U6tW7dWjx499PTTT//kLBUVFfJ4PH43AADQdAUULV9//bUqKysVHR3ttz06OlrFxcVVPsbtdmvu3Ln67LPP5PV6tW7dOr3xxhs6cOCAb01hYaGeeOIJXXjhhVq7dq3GjRunu+66S88//3y1s6SnpysqKsp3i4+PD+SpAAAAywT93UPz5s3ThRdeqC5duig8PFwTJkzQ6NGjFRr630N7vV717NlTDzzwgHr06KE//OEPuuOOO/Tkk09Wu9+0tDSVlpb6bkVFRcF+KgAAoAEFFC3nn3++mjVrppKSEr/tJSUliomJqfIxrVq10qpVq1ReXq4vvvhCO3fuVMuWLdWhQwffmjZt2ujiiy/2e1zXrl21b9++amdxOBxyuVx+NwAA0HQFFC3h4eHq1auXsrKyfNu8Xq+ysrKUlJT0k4+NiIhQXFycTpw4oddff11XX321775+/fpp165dfut3796tCy64IJDxAABAExYW6ANSU1M1cuRI9e7dW5dddpkee+wxlZeXa/To0ZKkESNGKC4uTunp6ZKkjz/+WPv371f37t21f/9+/fnPf5bX69XUqVN9+5w8ebIuv/xyPfDAA7rxxhu1adMmPfXUU3rqqafq6GkCAADbBRwtw4YN01dffaUZM2aouLhY3bt3V2Zmpu/i3H379vldr3L06FFNnz5dhYWFatmypQYPHqwXX3xRZ599tm9Nnz59tHLlSqWlpWn27NlKSEjQY489puHDh9f+GQIAgCYh4M9paaz4nBYAAOwTtM9pAQAAaChECwAAsALRAgAArEC0AAAAKxAtAADACkQLAACwAtECAACsQLQAAAArEC0AAMAKRAsAALAC0QIAAKxAtAAAACsQLQAAwApECwAAsALRAgAArEC0AAAAKxAtAADACkQLAACwAtECAACsQLQAAAArEC0AAMAKRAsAALAC0QIAAKxAtAAAACsQLQAAwApECwAAsALRAgAArEC0AAAAKxAtAADACkQLAACwAtECAACsQLQAAAArEC0AAMAKRAsAALAC0QIAAKxAtAAAACsQLQAAwApECwAAsALRAgAArEC0AAAAKxAtAADACkQLAACwQlhDD1BXjDGSJI/H08CTAACAM3XyvH3yPP5Tmky0lJWVSZLi4+MbeBIAABCosrIyRUVF/eSaEHMmaWMBr9erL7/8UpGRkSorK1N8fLyKiorkcrkaerSAeTwea+e3eXaJ+RuSzbNLzN+QbJ5dsnv+upjdGKOysjLFxsYqNPSnr1ppMq+0hIaGqm3btpKkkJAQSZLL5bLuG+DHbJ7f5tkl5m9INs8uMX9Dsnl2ye75azv7z73CchIX4gIAACsQLQAAwApNMlocDodmzpwph8PR0KPUiM3z2zy7xPwNyebZJeZvSDbPLtk9f33P3mQuxAUAAE1bk3ylBQAAND1ECwAAsALRAgAArEC0AAAAKzTaaElPT1efPn0UGRmp1q1b65prrtGuXbv81hw9elQpKSk677zz1LJlS11//fUqKSnxW7Nv3z4NGTJELVq0UOvWrTVlyhSdOHGiymN++OGHCgsLU/fu3a2ZvaKiQvfee68uuOACORwOtW/fXs8995w18y9btkyJiYlq0aKF2rRpo9tvv13ffPNNg89+1113qVevXnI4HNV+P/zjH//Qr3/9a0VERCg+Pl4PP/xwjeeu7/mzs7N19dVXq02bNjrrrLPUvXt3LVu2zJr5f2zPnj2KjIzU2Wefbc3sxhjNmTNHnTt3lsPhUFxcnO6//35r5l+7dq1++ctfKjIyUq1atdL111+vzz//vMHn//TTT3XzzTcrPj5eTqdTXbt21bx58047VnZ2tnr27CmHw6FOnTppyZIlVsz+xhtv6Morr1SrVq3kcrmUlJSktWvX1mr2+pz/x2p8vjWNlNvtNosXLzb5+fkmLy/PDB482LRr184cPnzYt2bs2LEmPj7eZGVlmc2bN5tf/vKX5vLLL/fdf+LECdOtWzeTnJxstm3bZtasWWPOP/98k5aWdtrxvvvuO9OhQwczcOBAk5iYaM3sV111lenbt69Zt26d2bt3r/noo49MTk6OFfPn5OSY0NBQM2/ePFNYWGg++OADc8kll5hrr722QWc3xpiJEyeaBQsWmNtuu63K74fS0lITHR1thg8fbvLz883LL79snE6nWbRoUY1nr8/577//fjN9+nTz4Ycfmj179pjHHnvMhIaGmrffftuK+U86duyY6d27txk0aJCJioqyZvaJEyeaiy66yLz55pumsLDQbN682bz33ntWzF9YWGgcDodJS0sze/bsMVu2bDH9+/c3PXr0aPD5n332WXPXXXeZ7Oxs869//cu8+OKLxul0mvnz5/vN36JFC5OammoKCgrM/PnzTbNmzUxmZmajn/3uu+82Dz30kNm0aZPZvXu3SUtLM82bNzdbt26t8ez1Of9JtTnfNtpoOdXBgweNJLNhwwZjjDGHDh0yzZs3N6+++qpvzY4dO4wkk5uba4wxZs2aNSY0NNQUFxf71jzxxBPG5XKZiooKv/0PGzbMTJ8+3cycObPW0VJfs7/77rsmKirKfPPNN3U6b33N/7e//c106NDB71iPP/64iYuLa9DZf6y674eFCxeac845x+/76J577jEXXXRRnc0ezPmrMnjwYDN69Og6mfukYM8/depUc+utt5rFixfXOlrqa/aCggITFhZmdu7cWafznipY87/66qsmLCzMVFZW+ra99dZbJiQkxBw7dqzRzH/S+PHjzYABA3xfT5061VxyySV+a4YNG2bcbnejn70qF198sZk1a1bdDP4fwZ6/NufbRvvroVOVlpZKks4991xJ0pYtW3T8+HElJyf71nTp0kXt2rVTbm6uJCk3N1eXXnqpoqOjfWvcbrc8Ho/++c9/+rYtXrxYhYWFmjlzplWzv/XWW+rdu7cefvhhxcXFqXPnzvrTn/6kI0eOWDF/UlKSioqKtGbNGhljVFJSotdee02DBw9u0NnPRG5urvr376/w8HDfNrfbrV27dum7776ro+mDN391xzp5nLoSzPnXr1+vV199VRkZGXU38I8Ea/a3335bHTp00DvvvKOEhAS1b99eY8aM0bfffmvF/L169VJoaKgWL16syspKlZaW6sUXX1RycrKaN2/e6OY/9fs6NzfXbx/SDz+7tf35qY/ZT+X1elVWVtZof26rmr+251sr/sFEr9erSZMmqV+/furWrZskqbi4WOHh4af9Hjs6OlrFxcW+NT8+aZ68/+R9kvTZZ59p2rRp+uCDDxQWVvf/OYI5e2FhoXJychQREaGVK1fq66+/1vjx4/XNN99o8eLFjX7+fv36admyZRo2bJiOHj2qEydOaOjQoXV2Eqrp7GeiuLhYCQkJp+3j5H3nnHNO7YZXcOc/1YoVK/TJJ59o0aJFtRnZTzDn/+abbzRq1CgtXbo0KP/AXDBnLyws1BdffKFXX31VL7zwgiorKzV58mTdcMMNWr9+faOfPyEhQe+9955uvPFG3XnnnaqsrFRSUpLWrFlTJ7PX5fwfffSRXnnlFa1evdq3rbo/mzwej44cOSKn09loZz/VnDlzdPjwYd144421mrm+5q+L860V0ZKSkqL8/Hzl5OTU6X4rKyt1yy23aNasWercuXOd7vukYM0u/fDNFRISomXLlvn+hcy5c+fqhhtu0MKFC2v9wycFd/6CggLdfffdmjFjhtxutw4cOKApU6Zo7NixevbZZ2u9/2DOXh/qa/73339fo0eP1tNPP61LLrmkzvYbzPnvuOMO3XLLLerfv3+d71sK/s9tRUWFXnjhBd+fO88++6x69eqlXbt26aKLLqr1MYI5f3Fxse644w6NHDlSN998s8rKyjRjxgzdcMMNWrdunUJCQmp9jLqYPz8/X1dffbVmzpypgQMH1nqmM1Vfs7/00kuaNWuW3nzzTbVu3brGxzpVsOavq/Nto//10IQJE/TOO+/o/fffV9u2bX3bY2JidOzYMR06dMhvfUlJiWJiYnxrTr0y/uTXMTExKisr0+bNmzVhwgSFhYUpLCxMs2fP1qeffqqwsLBa/60nmLNLUps2bRQXF+f3T3p37dpVxhj9+9//rtXs9TF/enq6+vXrpylTpugXv/iF3G63Fi5cqOeee04HDhxosNnPxJk8v9oI9vwnbdiwQUOHDtWjjz6qESNG1HZsn2DPv379es2ZM8f3c/v73/9epaWlCgsLq/W754I9e5s2bRQWFub3B3fXrl0l/fCOu9oK9vwZGRmKiorSww8/rB49eqh///5aunSpsrKy9PHHHzeK+QsKCnTFFVfoD3/4g6ZPn+53X3U/uy6Xq9Z/0Qv27CctX75cY8aM0YoVK077VVdjnb/OzrcBXQFTj7xer0lJSTGxsbFm9+7dp91/8sKg1157zbdt586dVV4MWlJS4luzaNEi43K5zNGjR01lZaXZvn27323cuHHmoosuMtu3b/e7crqxzX7ya6fTacrKynxrVq1aZUJDQ833339fo9nrc/7rrrvO3HjjjX77/uijj4wks3///gab/cd+7kLcH194mJaWVusLcetrfmOMef/9981ZZ51lFixYUKuZG2L+goICv5/bv/71ryYyMtJs377dfPvtt4169rVr1xpJZs+ePb5teXl5RpLZtWtXjWavz/lTU1PNZZdd5rftyy+/NJLMhx9+2ODz5+fnm9atW5spU6ZUeZypU6eabt26+W27+eaba3Uhbn3NbowxL730komIiDCrVq2q8bwNMX9dnW8bbbSMGzfOREVFmezsbHPgwAHf7ccn47Fjx5p27dqZ9evXm82bN5ukpCSTlJTku//k224HDhxo8vLyTGZmpmnVqlWVb3k+qS7ePVRfs5eVlZm2bduaG264wfzzn/80GzZsMBdeeKEZM2aMFfMvXrzYhIWFmYULF5p//etfJicnx/Tu3fu0PxDre3ZjjPnss8/Mtm3bzJ133mk6d+5stm3bZrZt2+Z7t9ChQ4dMdHS0ue2220x+fr5Zvny5adGiRa3f8lxf869fv960aNHCpKWl+R2ntu9Eq6/5T1UX7x6qr9krKytNz549Tf/+/c3WrVvN5s2bTd++fc2VV15pxfxZWVkmJCTEzJo1y+zevdts2bLFuN1uc8EFF9TqL0t1Mf/27dtNq1atzK233uq3j4MHD/rWnHzL85QpU8yOHTtMRkZGrd/yXF+zL1u2zISFhZmMjAy/NYcOHarx7PU5/6lqcr5ttNEiqcrb4sWLfWuOHDlixo8fb8455xzTokULc+2115oDBw747efzzz83gwYNMk6n05x//vnmj3/8ozl+/Hi1x62LaKnP2Xfs2GGSk5ON0+k0bdu2NampqbX6g6O+53/88cfNxRdfbJxOp2nTpo0ZPny4+fe//93gs//mN7+pcj979+71rfn000/Nr371K+NwOExcXJx58MEHazx3fc8/cuTIKu//zW9+Y8X8p6qLaKnP2ffv32+uu+4607JlSxMdHW1GjRpV62Csz/lffvll06NHD3PWWWeZVq1amauuusrs2LGjweefOXNmlfu44IIL/I71/vvvm+7du5vw8HDToUMHv2M05tmr+38zcuRIK+Y/VU3OtyH/GRgAAKBRa/QX4gIAAEhECwAAsATRAgAArEC0AAAAKxAtAADACkQLAACwAtECAACsQLQAAAArEC0AAMAKRAsAALAC0QIAAKxAtAAAACv8Pw7u4u17dkM9AAAAAElFTkSuQmCC", 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", 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", 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", 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "tuning_len = 1250\n", - "for param in parameters_df.columns:\n", - " plt.figure()\n", - " plt.plot(parameters_df[param].iloc[tuning_len:], label=param)\n", - " # fix y axis text to not be too wide and write as x 10^x\n", - " plt.gca().get_yaxis().get_major_formatter().set_powerlimits((0, 1))\n", - "\n", - " # save figure as pdf\n", - " # plt.savefig(f\"../../../markowitz/figures/tuning_{param}.pdf\", bbox_inches='tight')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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oi7RbSnbu3Kn169cn/75hwwaVl5era9eu6tevn8rKyrR582bde++9kuq7bCZNmqRf/vKXGjlypLZu3SpJys/PV2FhYUD/jGihpeRglgtMNU4JZm/HA3cza74GBk+rjTSk3VKyYsUKlZSUJKfzlpaWqqSkRDNmzJAkbdmyRRs3bkx+/je/+Y327dunqVOnqlevXsk/06dPD+ifED0pL+TjPpnCcqAr+9pvvr4zxecxJaYznsxK5mEvztJuKTnzzDMPeyDfc889KX9funRpupvwno8Xp7BYjikBWsbtzBotlmgL3n1jIOUWyfkpqeniacGznFmB8Pg6FqHxGc2fiodRU8tZVIgvQokxnhrqhbEfGFSMQ0mOO+IQMRfGPuZcjy9CiYGmXRScO/Wc4fQbnp7ixdev08fj0HQcj7ffJDKJUGIg5d03GatFtDRmEsN1StjZXrNsTUu+H8mgbFpDU7E30BaEEgMpU4K5U0qyHS/QOKaEfQ0cCV/f0+NnrZEOQokBX0/4MLBn0BLTtWxMFk9L3UbWM1yTKLkJu6KRYYQSY5w89RpaMWxaSui+iQO+v/CxzxE1hBJjnPT1whmRb78NeCq5wF7wB4nle518ZLmYHPs4/gglRhjn0Dybga712NPxwKwNe77vYR5A4otQYiR50nPySDJ+943hUzDCYzs9Nbxt+MRkNlJyjI2PewSZRigxYjkF0Uems28athF80QCAEBFKjPCMcCgG3Tf0M8eKb2MRLFsBrYRSV8MHEMQXocQIb65NZTr47cCNwE8hnCycj/bC6Ubli4wrQokxBrrWC2X2DfsaGWC5WrE5wxPTw72BCCCUGGHp81TJdUoMyqZVKl5MjpH9/0twtWc6mJikE3uEEivJKcGQrF9Lz6DiOPD1+7M9tm2EUVfGeqE1CCVGGpe19vVSGyzTF/LRUoIW5DBFKzQslIi2IJQY4SGheaYDXRELvj1h+9wlxLotiBpCiRHGlBzAhTCmxOObA2zPlRy6+EJjG3SIOnFHKEEoQpkkyB0HGeRTA08YN3feEozWIJQYYZxDKsuXlvEUjJZYno8+n+M2+8PjHYKMI5QYYQpiKsv90DiIkX3tM84VtMij1ii0DqHESPLdN1xnJRm/+4bp1zhCFsHH68XTDLE30BqEEiOckM0zmRLM3o4Vn8ZmeMvzfczDXnwRSqzw9J7C8t03YvxOLJjOvjF9IV/DNsw2Yca2W9XDHYKMI5QYY9BXvXAWVGJf4/A4ROzZTu1G3BFKjLCAZCrTd98kt4E48K87bv+x7VG1w6iq5TYYFB1fhBIjDHQ9gOlAV/Z1HISxuiiHiD0CA9qCUGKk8ebLCSo1HVNiMdA1dRtAmJJjSrxr4TEO8oYz7RBfhBIjnDvNs1xmHvFgOm2c5jRz7GK0BaHECF0KqVzj42TgeCNzPPj69ZnOLDMSxswYy5YjX48VtIxQYoxzpx4XEWQSC+yFh32MtiCUGGHl81SWq17SKhUvHjU4SGpsofOt3pL12jAGZXq5l5EOQomRxicz7pSS8TLzDdtgX3vNdCEvVjMMTShrEtlvAhlCKDHD03tTluuUsKIrosCrMSUx2Qbih1BixKcLVJho0kVLbF/aaPdCPh9Z1D2UN4IjtgglRhhTkspyLQcGMcYEXyCQ9QglxhjnEB4CIA7FdMnz5HHnz2N8GC0Olttg+n98EUqM5DDOIUVyhgIDXdGCMN7oCzvsY7QFocQI4xxSNU4JDh4BMB58/fosA7c1yxYHy65axBehxAg3ylTJ/WDy7huuVGgBa9kAXiCUGOE22TzefYOW+PZ1WrYCWgkjyHNeojUIJUaSq4x62ygdrOQ6JbxsDYdg25WwfxtmW0AD37qEEC2EEmPcJ+uFssoj+xqZkFytmBtmU+wOtAahxBj3yXqW775Jrp5rUDIygNY0r/EAgrYglBjhIpjK9N03DCqOBV+/Py/HlIRSWZ/2CKKCUGKEVUYPZPfuG9YpQUsYU9I8iyBouY/pEoo/QomRhm4KX5/+gkZLCVpi28Vnx+d1SiyZruhKvIwtQokRLlDNsxgM6NtNDOHLYZ2SFOEsuw+kj1BijjNUCmnwm/0mgIP42sJjjb2B1iCUGOEtwalCeZ05O9trpl18wRcZC3SDIGoIJUYaF0+DFM4Nh32NloUQjrOc5UKJyW1wsscWocQID++pLJu4GS8QL77d27087nzbycgaaYeSF154QePHj1fv3r2Vk5Ojxx57rMXfWbp0qU455RQlEgkNGjRI99xzTyuq6hnWKUlh2VKS3AZtJV4Lo4uP09Ge5T5m1dz4SzuU7Nq1S0OHDtWcOXOO6PMbNmzQeeedp7POOkvl5eX64Q9/qClTpmjRokVpV9YnnDrN44V8iBufw7BpgDC8ChIu4ysv3V8YN26cxo0bd8Sfv/POOzVw4EDdeuutkqQhQ4Zo2bJl+sUvfqGxY8emu3nvcO7UC+PCzYUqHmzGHTHGKyzsY7RF2qEkXcuXL9eYMWNSfjZ27Fj98Ic/POTv1NTUqKamJvn3qqoqq+qZaWhmvGPx27r/rxsDLTs3R7rwC8U6/Z+6BVquc06/WrJe6z/YGWi5kvTqxk8k2d5wnllTqfc+2R14+cP7H6NJpw8IvNxFb2zVU3/fEni5kpTXLkeTRg3Q0OKjTcq34GuoDKNrMmhhTF9mFlU47l3+rla8+0kgZU06vb+G9+8aSFmtZR5Ktm7dqqKiopSfFRUVqaqqSrt371Z+fv5BvzN79mzNmjXLumqmuh7VQZL08jsfmZT/7kef6rGpwYaS9R/s1G3Prgu0zAMd06lD4GUe27m+zPUf7DQJVE+89r7+ZVgfFXZqH2i5P3viDW3ZsSfQMpuq2v2ZfjfpC2ble4UxJc0y2R3s5NDs2P2ZZjz+RmDljTmhSMP7B1Zcq5iHktYoKytTaWlp8u9VVVUqLi7OYI3Sd+u/DtXitZWqC/j8fOfDnVrw142q2VcXbMFSsswuHfN09ZjBgZd/dKf2Ou/kXoGXO+n0AerWuYN21dQGXvZ//HmNJKmmtlZSsKFkz2f19b3yzH9S986JwMpdvXmH/rhqs8kxEgbfFiFLzizzqakkBKarxhqW7ZPPahvP8RlfO6HN5Z3Yu6DNZbSVeSjp2bOnKisrU35WWVmpgoKCZltJJCmRSCiRCO4inQnFXTvpO6MHBl7ui29/qAV/3Wgyq6ehyM6JPF32xeDrbqVzIk8TvtDPpOyfP7WmPlgavrjsW6f00aAeXQIr9/Hyzfrjqs08sDbBSxtT2c6CQ1ianuM+XbMPx3ydklGjRmnx4sUpP3v22Wc1atQo600jTVywD2a5CF7jBcXmDsH3GZKGMSWZrUXkmLznip2cIo7neNqhZOfOnSovL1d5ebmk+im/5eXl2rixfjBnWVmZLr300uTnr7jiClVUVOjaa6/Vm2++qblz5+rhhx/W1VdfHcy/IMuEMkDNfAv+sFwEj7fLNo83SYfHssXVEus/pYrTNSTtULJixQqVlJSopKREklRaWqqSkhLNmDFDkrRly5ZkQJGkgQMH6qmnntKzzz6roUOH6tZbb9Xvfve7rJgObMHy4to4iyBGR3gbJfe3wRNJ4yq3wfJ1hVtfbzRhLKsONCuGrXRpjyk588wzD3vxaG611jPPPFOrVq1Kd1NAxtW3TDmbGzwhMDS+DZ615uve8LXeOHK8+8YzlgP2/HxONZZsKQmeWUtJQ/mefqG+zdpItjByy5REy1GY4jjzi1ACHEbjDd6i752Ld1OeZiiv+brPfa03WkYo8Y3pmBJukgeyHMNTZ/SEbTkOxleN36P9S/+yHS1H4XExHFNCKPGUZXcCGiXfmWKyToltCPS1+8a3u7uPu9nX5n5f620ljl1lhBLP+PrOCl+Zzr4xupv5+oRq+8p7u7K9ZrgooCkfkyCOCKHEM5bN0DS7Hsx0nZKGbQS8uxuDFMKQ7PbMcD2ihiBoL47XbEIJcBiWK7oyJbh5FnvDshvOR6bLzFu2eNkVjYgglHimcUqwhfj1T7aVacvU/v2dG3RLSeMGvOLrwFzjtwV4i91hL47HHqHEV4YruqKRZQi0bnr19SZvgRlJzbMZMG+/j/ke6/m6CvLhEEo8E0ZTf4xCd5tZLtluPabEV77VP479+kHw7Xv0WZx2NaHEM5aDGOO4OmBb5Rj2hdgNkPRz/EQ4L3Kz34YPTM9wZlGFpvF9ZZmtR5AIJcBhhDH7JlaPOVksTjeGIFg+3BAu44tQ4hnbZc9TtwHb2TdWzf6+Twm26Aah9a95cRyTkI3i1HVIKAEOI4yX23G/rBfG7THo77HpTZ2vsZ7ViyYtS0V0EEo8YzqmhKaSg1jN2rC8mVm2piEeCMLxwJgSRIbpGAc0YTNotGl5Vl0Lvn6fFrvDamp3GN+jJV8fbnw9toOWfPdNhusRJEKJd5gSHCartwQ3LS7wlhIPb44SgxcBEEq8E8YL4ny9qVlofMI27L4xWtGVm3wjq5V5LcOlLfuZMTYDlgMv0mtxvGYTSoDDCKelJD4XlCCwN9ASAnd8EUo8Y7tuRvz6J9vKbAl4w0dsf6cE29XY9p1R+7fh4Ynj00rFOJjtTKfMIJQAh2HXUmLXfYPwMMMpXJwqhxCjHUMo8Yzlu1iU7J80KNtTdmNKDt5GUHI8H1RiMvvG3+YjE5bnuKeHnZfiGIoJJUiK3+Hddg03szqmBJvz8frK2KBDs9wbvCW4Ht03yLgwDj4urgcLftaG5eJpfH8Hsmrx8p3JLD72MdqAUOIZq6mN9WWmbgN2g0ZTW0oCLtxoHExYfJreaDlg2Xc23XDBl+kzpgQDWYYpweHh/ULh8X13+Bq40TJCiWcabmA241w50w+UYzSZNJTF0/g+D8IsqlQmU4INF0/DgfYv4xCjXU0o8ZTlxQSNwmgpscL3ibgh6KSK4ztUCSWeCSMRx6l/sq3CeZFbsGX7+v3ZtuzYtDBaTu22FMYx4ulhiAwjlHjKZtQ8DmS2LkzKzSyEVWOBGOHQrte4em58EiChBAeJz+Hddo3rkBlOCTYaU+Iry1kbtoNp/dvzNt3AvK4CrUco8YzlxTV5MeFq0iiMKcEBl+3r4qW07KAlXJtSMaYEyDJWK7anTAnmSmvOx9cFWLJdbbVhI6xlH5Y4XUIIJZ6xnRK8fxsxOsDbKjmmxHJKcKAlNzlGPLtwNy6ZzQEIHIk4TvsnlHjK8oV8aJS8PZq2lARbNg7G257DY9mlwD5O1Xg8x2fHEEo8E8qU4Bgd4G0VzjLzwe5vLtwAfEUo8UyO1aO7Gp/6uKk1auwKCbZcy2ZXq3Ew1izfvWTZ7ekj0+EeIexlvsd6cXxfGaEEOIzGlhKb/ps4XUyyUepAV/++TMtxRxzbaA1CiWesntyblsm1pJHV4mkNxeXaNAvs34afz5OMRcCh+Bj8LCVbtzNcjyARSoDDsF5mPk4Xk7YKJUQFvgheI5+Cj+XNPYwX8vnWNWnNp2OvJYQSz1gujJU80eN0hLdR46wNmxVdTcdPcOEGYi2O5zihxFMWfcExPL7bzHr2jenTpFnJtkyXmQ+4XN/WgjmQd+sd8bzUrDh1axFKPBPGoRefw7vtcmRzN7NcXsDbhi6/7+8AAkAo8Yxt9w1Tgg/UsC/qAn4irquzG6Bm9RJBn9lN7W6yDY/OmzBWgDddyp5jWxJTgoGsY73mR5wuJkGJU1M0EIY4nTGEEu8YTglO2QIkJVODT2NKcozqbM20vlYDlr1fp8SkVElWg7jRlK/T/g+HUOIpk4Gu8Tu+28yqKySU1XP5PhFTHNr1Grtv4hPXCCWeCeXdNzE6wNvKfvZN8Hz/+iyfsAO/maW8wyjowv0UxxslwkMo8ZTNkwLPHweyGlPSOG2SKcENGLwYPt+a/wk6qfz69o4MocQzTAkOV+NFMOixCPazb9DI7nUBjQWy3+uRLcMXp6xGKPFMjuGc4DhOL2sr65YSy3VKaHlAXHFo14vjOU4oAQ7DxzElvrK8vJqNKWm6DY/SvOk6JWEM4kaKOO1rQolnLC+ujVOCY3SEt5Hde2QaLtx2HTjxe4aKHt8fVH2rP1emVJ59fUekVaFkzpw5GjBggDp27KiRI0fqlVdeOeznb7/9dh1//PHKz89XcXGxrr76au3Zs6dVFUY9pgSHJNlSYrO+RRgra/rGpxYHZIanh3bgwniHVtjSDiUPPfSQSktLNXPmTL366qsaOnSoxo4dqw8++KDZz99///267rrrNHPmTK1du1bz5s3TQw89pJ/85Cdtrnw2CuV6HZ/ju83MZ98EW2x9mZ5+f5Yhyu5tz022EWjJtkxfBBnDGyXCk3Youe2223T55Zdr8uTJOuGEE3TnnXeqU6dOuvvuu5v9/Msvv6zRo0dr4sSJGjBggM455xxddNFFLbauoHk5hk3zyb5gg7J9ZT6mxCBBNHbx8TyJePE1cNuJ3/idvHQ+vHfvXq1cuVJlZWXJn+Xm5mrMmDFavnx5s79z+umn67777tMrr7yiU089VRUVFVq4cKEuueSSQ26npqZGNTU1yb9XVVWlU00gMA0h8HcvVuipv78fWLnVe/btLx8Hspwm/ciK9/S3dz8OrNy9++oat+Hhl7l992f63h9WBFrm6s3112sf94ev4rSr0wol27ZtU21trYqKilJ+XlRUpDfffLPZ35k4caK2bdumL37xi3LOad++fbriiisO230ze/ZszZo1K52qZY3GZujgy2ZK8MG6dUlIkv7+3g79/b0dgZd/bOcOgZdptSaHNcvqHtu5/nt8q7Jab1VWB15+16OC/x4tdT2qg3Jy6kPVojcqzbZhJY5TYVsjjrshrVDSGkuXLtVNN92kuXPnauTIkVq/fr2mT5+u//zP/9QNN9zQ7O+UlZWptLQ0+feqqioVFxdbVxU4yM/Gn6AvDeqmz+rqWv5wK4z+p24m5SLV9DGf05BeBarZV2tS/oj+Xb0aoNuzsKMevPw0rf9wp0n5hfntdc4JPU3KxsF8OvZaklYo6datm9q1a6fKytRkXVlZqZ49mz8Ab7jhBl1yySWaMmWKJOnzn/+8du3ape9+97v66U9/qtzcg4e1JBIJJRKJdKqWdSzGCzAl+GDHdk7owi/4FYitBueGxeL6WtCxvS4Y3jf4gj028rhjNfK4YzNdjbRwZUrl6Sl+WGkNdO3QoYOGDx+uxYsXJ39WV1enxYsXa9SoUc3+zqeffnpQ8GjXrp0kmuDawqb7hu8DmcPxB6Qnjoswpt19U1paqkmTJmnEiBE69dRTdfvtt2vXrl2aPHmyJOnSSy9Vnz59NHv2bEnS+PHjddttt6mkpCTZfXPDDTdo/PjxyXCCIxfOW4LttwE7fH9AlonROZ92KJkwYYI+/PBDzZgxQ1u3btWwYcP09NNPJwe/bty4MaVl5Prrr1dOTo6uv/56bd68Wd27d9f48eN14403BvevyCLJQYym2zAsHOYaV6H1s+WBww+HEqexE0Hw9Rw/nFYNdJ02bZqmTZvW7H9bunRp6gby8jRz5kzNnDmzNZsCkCXid3kFwhGnqMa7bzyTPPgspwTH6hDPPoYvkgYiIYYNBK0Sx91AKAEQKTTRA+mJ0zlDKPFM41OwxZTg+C1ZnM28e5r0rb4IHZemVHGcfUMo8ZTliq6IB959g7ji2K4Xx/1AKPEM4z3QEt9bunyvPxC2OJ0zhBLPWA5itHxzLcLTOCU4wxVJUxyf+hAwLk2pYnjKEEoAAPBYnFrQCSWeaXyvieW7b+Az36cEc/yhJb61AlqJ424glHjKpvsmjod49vLt6/StvkCmNXa5Z7YeQSKU+IZ336AFfH+Iqzh1U6B5hBLPWA5ipPsmHhov3J42PZCq0AJPj+zAxXFwOKEEQCTQfQO0TpxmTBJKPGN67DElOBaSA125ySNmuDSliuM5TigBECncd4D0xOmcIZR4punBF/RsmeS7bwItFWHzdURJHPvHYSOOLQStkRwHGKOLNqHEY0GfmJzo8cIUbyDe4niOE0o8E8Z4jzil7mzk+/fne/1hh0OjeXE6Zwglnknpvgm47MbyYnSEZ6X908YzXIt0xfChD0bo6qsXx71AKAEAwGNxWlSOUOKZps10gQ90jeGSxdnI1ynBjYv3cQCieVybDhDDazahBAAARAKhxDNNnyKDH1PClOA4sHyTNBAFHNr14njNJpR4jCnBOBzfvk66D4H0xPGaTSjxDW8JRgt4TQDiivFGhxCjc55Q4pmUga4BPwsz0DAekt+ep09RHH3AkaGlBADMxPAKC4QgTkGeUOKZ1HffBFz4/gJj1BKYlZJTgjNbDSBwXJtS8e4bxBo3sXjxdfZNnC6wgCVfz/HDIZR4hnffoCW+jgmK4fUVRuJ4M24LP8/45hFKPGPZfZOckhmrQzz70H0DZIc4nuOEEgCRQijGodCK27w4LQNAKPGM6ZTgxqYSxIBvLdyeVRcZ5NuxbSWOl2xCCQAAiARCiWdS3n0T9JiS5Dbgs8YxJZ4+TnIA4pA4OFLFbxkHQonHjJYpQUz49n0yowJITxxPGUKJZ8JIxHEaNJWN+P4QdzG8F7dJnAaHE0o8FvSTJd038dDw/fl64eb4A46Mr+f44RBKAERCHC+wCBaNgIcQo/1CKPFM6pTgYDnefRMLOb43lQAtiONYitZgSjAAGGNMDJC9CCWesZwS3LgN+KzhGPFtSjBPv2gJ16ZUjinBiBSjd98gHvg+gXiL4zlOKPEMU4LREt+/Ps+rjxD41gpoLU5TgvMyXQGkp+mhN3fpeiXatwus7Ff/8clB24B/Gr6/Wud027PrMlqXdLz70a5MVwFZbNPHn+qxVZv1WZ0/gWfd1mpJ/j+INEUo8UxuTo4Sebmq2Venu16oMNlGfofggg7Cl2jfTjk59U27dyx+O9PVSVsnjj8cguXNd/Zf1mrh61vtNmAoTucMocQzubk5uuOiEr20fptJ+R3bt9Mlp/U3KRvhKMxvr1v/dajKN23PdFXS1r1zQmf9c49MVwMRZzGWomr3PknSFwd103Hdjwp+A0ba5eZowheKM12NwBBKPDT2xJ4ae2LPTFcDEXb+KX11/il9M10NwBt1+5POv47oq28M65Ph2mQvBroCALxgOaCzLrl4ZIwGaHiIUAIAyHoNXUK5ZJKMIpQAALxiMT+mMZSQSjKJUAIAyHrJ1VEzXI9sRygBAHjBshGjYXkSxpRkFqEEAOAXgznBDQNdGVOSWa0KJXPmzNGAAQPUsWNHjRw5Uq+88sphP799+3ZNnTpVvXr1UiKR0ODBg7Vw4cJWVRgAgKA5WkoiIe11Sh566CGVlpbqzjvv1MiRI3X77bdr7Nixeuutt9Sjx8GLHu3du1dnn322evTooUcffVR9+vTRP/7xDx199NFB1B8AkCUs44KjpSQS0g4lt912my6//HJNnjxZknTnnXfqqaee0t13363rrrvuoM/ffffd+vjjj/Xyyy+rffv2kqQBAwa0rdYAAASocUxJZuuR7dLqvtm7d69WrlypMWPGNBaQm6sxY8Zo+fLlzf7OE088oVGjRmnq1KkqKirSSSedpJtuukm1tbWH3E5NTY2qqqpS/gAAIBlNCRaLp0VBWqFk27Ztqq2tVVFRUcrPi4qKtHVr8y8yqqio0KOPPqra2lotXLhQN9xwg2699Vb9/Oc/P+R2Zs+ercLCwuSf4uL4rOsPAIieurr6/2Wdkswyn31TV1enHj166De/+Y2GDx+uCRMm6Kc//anuvPPOQ/5OWVmZduzYkfyzadMm62oCACLOshWjofWFSJJZaY0p6datm9q1a6fKysqUn1dWVqpnz+ZfENerVy+1b99e7do1vlp5yJAh2rp1q/bu3asOHToc9DuJREKJRCKdqgEAsoTFW4IbB7oSSzIprZaSDh06aPjw4Vq8eHHyZ3V1dVq8eLFGjRrV7O+MHj1a69evV11D25ikdevWqVevXs0GEgAAwsY6JdGQdvdNaWmpfvvb3+r3v/+91q5dqyuvvFK7du1Kzsa59NJLVVZWlvz8lVdeqY8//ljTp0/XunXr9NRTT+mmm27S1KlTg/tXAADQBo7+m0hIe0rwhAkT9OGHH2rGjBnaunWrhg0bpqeffjo5+HXjxo3KzW3MOsXFxVq0aJGuvvpqnXzyyerTp4+mT5+uH//4x8H9KwAAaIM6um8iIe1QIknTpk3TtGnTmv1vS5cuPehno0aN0v/93/+1ZlMAAKRwBpOCeUtwNPDuGwBA1kv23pBJMopQAgDwgu1bghnoGgWEEgCAV2ymBDf8P1JJJhFKAABZj5aSaCCUAAC8kGPYisFA12gglAAAsl7Diq5kkswilAAAvGLxluA6WkoigVACAMh6dbSURAKhBADgBcvA0LjKPKkkkwglAACvmL4lmLtiRrH7AQBZryHo0FKSWYQSAIAXLOMC65REA6EEAJD1Gmbf5DDSNaMIJQAAr9i8JZjZN1FAKAEAZD1WdI0GQgkAwAu8JTj+CCUAAL9YTAne/7/MvsksQgkAIOuxoms0EEoAAF6wnBnTOPvGbBM4AoQSAAAY6BoJeZmuAAAA6XjpnW2a9eQbgZb5WV2dJEJJphFKAABe6JKov2Wt3lyl1ZurAi+/XW6O8ju0C7xcHDlCCQDAC98+rb/atcvRrpp9JuWf3PdoFea3NykbR4ZQAgDwwjFHddBVZw7KdDVgiIGuAAAgEgglAAAgEgglAAAgEgglAAAgEgglAAAgEgglAAAgEgglAAAgEgglAAAgEgglAAAgEgglAAAgEgglAAAgEgglAAAgEgglAAAgErx4S7BzTpJUVVWV4ZoAAIAj1XDfbriPt8SLUFJdXS1JKi4uznBNAABAuqqrq1VYWNji53LckcaXDKqrq9P777+vLl26qLq6WsXFxdq0aZMKCgoyXbW0VVVVUf8M8bnuEvXPJJ/rLvldf5/rLlF/55yqq6vVu3dv5ea2PGLEi5aS3Nxc9e3bV5KUk5MjSSooKPDyC25A/TPH57pL1D+TfK675Hf9fa67lN31P5IWkgYMdAUAAJFAKAEAAJHgXShJJBKaOXOmEolEpqvSKtQ/c3yuu0T9M8nnukt+19/nukvUP11eDHQFAADx511LCQAAiCdCCQAAiARCCQAAiARCCQAAiISMhJLZs2frC1/4grp06aIePXroX/7lX/TWW2+lfGbPnj2aOnWqjj32WHXu3Fnf+ta3VFlZmfKZjRs36rzzzlOnTp3Uo0cPXXPNNdq3b1+z23zppZeUl5enYcOGeVP3mpoa/fSnP1X//v2VSCQ0YMAA3X333d7Uf8GCBRo6dKg6deqkXr166bLLLtNHH30Uifr/4Ac/0PDhw5VIJA55TPz973/Xl770JXXs2FHFxcW6+eabvaj70qVL9Y1vfEO9evXSUUcdpWHDhmnBggVtqnuY9W9q/fr16tKli44++mhv6u6c0y233KLBgwcrkUioT58+uvHGG72p/6JFi3TaaaepS5cu6t69u771rW/p3XffzXj9X3vtNV100UUqLi5Wfn6+hgwZol/+8pcHbWvp0qU65ZRTlEgkNGjQIN1zzz1tqnuY9f/jH/+os88+W927d1dBQYFGjRqlRYsWeVH3ptp0v3UZMHbsWDd//ny3evVqV15e7s4991zXr18/t3PnzuRnrrjiCldcXOwWL17sVqxY4U477TR3+umnJ//7vn373EknneTGjBnjVq1a5RYuXOi6devmysrKDtreJ5984o477jh3zjnnuKFDh3pT969//etu5MiR7tlnn3UbNmxwL7/8slu2bJkX9V+2bJnLzc11v/zlL11FRYV78cUX3Yknnui++c1vZrz+zjn3/e9/3/361792l1xySbPHxI4dO1xRUZG7+OKL3erVq90DDzzg8vPz3V133RX5ut94443u+uuvdy+99JJbv369u/32211ubq578sknW133MOvfYO/evW7EiBFu3LhxrrCw0Ju6f//733fHH3+8e/zxx11FRYVbsWKFe+aZZ7yof0VFhUskEq6srMytX7/erVy50p1xxhmupKQk4/WfN2+e+8EPfuCWLl3q3nnnHfeHP/zB5efnu1/96lcp9e/UqZMrLS11a9ascb/61a9cu3bt3NNPP+1F/adPn+7++7//273yyitu3bp1rqyszLVv3969+uqrka97g7bebzMSSg70wQcfOEnu+eefd845t337dte+fXv3yCOPJD+zdu1aJ8ktX77cOefcwoULXW5urtu6dWvyM//7v//rCgoKXE1NTUr5EyZMcNdff72bOXNmm0NJWHX/y1/+4goLC91HH30UaH3Dqv///M//uOOOOy5lW3fccYfr06dPxuvf1KGOiblz57pjjjkm5Vj68Y9/7I4//vjI17055557rps8eXIg9W5gXf9rr73Wffvb33bz589vcygJq+5r1qxxeXl57s033wy0vgeyqv8jjzzi8vLyXG1tbfJnTzzxhMvJyXF79+6NTP0bXHXVVe6ss85K/v3aa691J554YspnJkyY4MaOHRtY3S3r35wTTjjBzZo1K5iKO/u6t/V+G4kxJTt27JAkde3aVZK0cuVKffbZZxozZkzyM//8z/+sfv36afny5ZKk5cuX6/Of/7yKioqSnxk7dqyqqqr0xhtvJH82f/58VVRUaObMmV7V/YknntCIESN08803q0+fPho8eLB+9KMfaffu3V7Uf9SoUdq0aZMWLlwo55wqKyv16KOP6txzz814/Y/E8uXLdcYZZ6hDhw7Jn40dO1ZvvfWWPvnkk0jX/VDbathOUCzrv2TJEj3yyCOaM2dOcBVuwqruTz75pI477jj9+c9/1sCBAzVgwABNmTJFH3/8sRf1Hz58uHJzczV//nzV1tZqx44d+sMf/qAxY8aoffv2kav/gcf18uXLU8qQ6s/btp4/zW1XCr7+B6qrq1N1dXWg565l3YO432b8hXx1dXX64Q9/qNGjR+ukk06SJG3dulUdOnQ4qB+5qKhIW7duTX6m6U2x4b83/DdJevvtt3XdddfpxRdfVF5e8P9Uy7pXVFRo2bJl6tixo/70pz9p27Ztuuqqq/TRRx9p/vz5ka//6NGjtWDBAk2YMEF79uzRvn37NH78+EBvMq2t/5HYunWrBg4ceFAZDf/tmGOOiWzdD/Twww/rb3/7m+666662VDmFZf0/+ugjfec739F9991n8gIzy7pXVFToH//4hx555BHde++9qq2t1dVXX60LLrhAS5YsiXz9Bw4cqGeeeUYXXnihvve976m2tlajRo3SwoULA6l7kPV/+eWX9dBDD+mpp55K/uxQ16aqqirt3r1b+fn5ka7/gW655Rbt3LlTF154YZvrbV33oO63GQ8lU6dO1erVq7Vs2bJAy62trdXEiRM1a9YsDR48ONCyG1jVXao/eHJycrRgwYLkGxZvu+02XXDBBZo7d24gJ5dl/desWaPp06drxowZGjt2rLZs2aJrrrlGV1xxhebNmxfINizrby2suj/33HOaPHmyfvvb3+rEE08MrFzL+l9++eWaOHGizjjjjMDLluzP25qaGt17773J6868efM0fPhwvfXWWzr++OPbvA3L+m/dulWXX365Jk2apIsuukjV1dWaMWOGLrjgAj377LPJt7S3RRD1X716tb7xjW9o5syZOuecc9pcp3SEVf/7779fs2bN0uOPP64ePXq0eltNWdU9yPttRrtvpk2bpj//+c967rnn1Ldv3+TPe/bsqb1792r79u0pn6+srFTPnj2TnzlwZHnD33v27Knq6mqtWLFC06ZNU15envLy8vQf//Efeu2115SXl9fmpxbLuktSr1691KdPn5RXPg8ZMkTOOb333nttqnsY9Z89e7ZGjx6ta665RieffLLGjh2ruXPn6u6779aWLVsyWv8jcST/xtayrnuD559/XuPHj9cvfvELXXrppW2qc1PW9V+yZIluueWW5Hn7b//2b9qxY4fy8vLaPPvMuu69evVSXl5eyoV5yJAhkupnrLWVdf3nzJmjwsJC3XzzzSopKdEZZ5yh++67T4sXL9Zf//rXSNR/zZo1+upXv6rvfve7uv7661P+26HO24KCgkAe5Kzr3+DBBx/UlClT9PDDDx/UHRXFugd6v017FEoA6urq3NSpU13v3r3dunXrDvrvDQNvHn300eTP3nzzzWYHW1ZWViY/c9ddd7mCggK3Z88eV1tb615//fWUP1deeaU7/vjj3euvv54y8jhqdW/4e35+vquurk5+5rHHHnO5ubnu008/bVXdw6z/+eef7y688MKUsl9++WUnyW3evDmj9W+qpYGuTQf3lZWVtWmga1h1d8655557zh111FHu17/+davrm6n6r1mzJuW8/fnPf+66dOniXn/9dffxxx9Huu6LFi1yktz69euTPysvL3eS3FtvvdWquodZ/9LSUnfqqaem/Oz99993ktxLL72U8fqvXr3a9ejRw11zzTXNbufaa691J510UsrPLrroojYPdA2r/s45d//997uOHTu6xx57rE11DrPuQd5vMxJKrrzySldYWOiWLl3qtmzZkvzT9GZ7xRVXuH79+rklS5a4FStWuFGjRrlRo0Yl/3vDtNRzzjnHlZeXu6efftp179692SnBDYKYfRNW3aurq13fvn3dBRdc4N544w33/PPPu8997nNuypQpXtR//vz5Li8vz82dO9e98847btmyZW7EiBEHXfAyUX/nnHv77bfdqlWr3Pe+9z03ePBgt2rVKrdq1arkbJvt27e7oqIid8kll7jVq1e7Bx980HXq1KlNU4LDqvuSJUtcp06dXFlZWcp22jqTK6z6HyiI2Tdh1b22ttadcsop7owzznCvvvqqW7FihRs5cqQ7++yzvaj/4sWLXU5Ojps1a5Zbt26dW7lypRs7dqzr379/mx6Ggqj/66+/7rp37+6+/e1vp5TxwQcfJD/TMCX4mmuucWvXrnVz5swJZEpwWPVfsGCBy8vLc3PmzEn5zPbt2yNf9wO19n6bkVAiqdk/8+fPT35m9+7d7qqrrnLHHHOM69Spk/vmN7/ptmzZklLOu+++68aNG+fy8/Ndt27d3L//+7+7zz777JDbDSKUhFn3tWvXujFjxrj8/HzXt29fV1pa2qYLQ9j1v+OOO9wJJ5zg8vPzXa9evdzFF1/s3nvvvUjU/8tf/nKz5WzYsCH5mddee8198YtfdIlEwvXp08f913/9lxd1nzRpUrP//ctf/rIX9T9QEKEkzLpv3rzZnX/++a5z586uqKjIfec732lzIAyz/g888IArKSlxRx11lOvevbv7+te/7tauXZvx+s+cObPZMvr375+yreeee84NGzbMdejQwR133HEp24h6/Q/1/UyaNCnydT9Qa++3OfsrDQAAkFGRWKcEAACAUAIAACKBUAIAACKBUAIAACKBUAIAACKBUAIAACKBUAIAACKBUAIAACKBUAIAACKBUAIAACKBUAIAACKBUAIAACLh/wPUfmeTmluYowAAAABJRU5ErkJggg==", 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E7cnt7Q7DfuduComXRuHZX11tbywhWL2jGKfOVHCgJF0QzxF7ia9TQqQzHSso2aXrfYtX8VGV7MOzz72YlBBR0HRtPmcS5RZyTwk8R5yBSQlREFhdBeL3QUQSmJQQuYyvFaOh9YQayyhSs6YS/3dibxzUNLq21FHwmJQQNYALKQXit0FEkpiUELmMZN+4r/VFtwdVY0E5plWuIHGOs/XFGZiUEAVBxwpL4varae8NuQRTSvdjUkLUAI5BCKTrnj2SC8qRu/AcsReTEiKXkR3Uea77hk0lZAOla1ZMQWNSQhQErmFQTfd7Ah+CqT66ntNuw6SEqAG8iQXimBJyAp5+7sWkhMilJGaa+FtK9LotSK7dQtax4rfHGVr2YlJCFAS2DJyH3wcRCWBSQtQQDR+aJAe6+jfk04vxndgbBjWRf0VX3c5AChaTEiIKGpf5JrdiouMMTEqIgqBTdeUb7yG6eJpW30iN74RNJVrzn3/kVkxKiChoHChKbsdT3F5MSogaoONIfCtaoXVr6fbHq9/vk2rT7fyj4DEpIXIpkYGuHFNCNmJLnfsxKSEKAm/C1fyzb/T6QoxdgnlPI3I0JiVEDdDxJibZVcGWEnICyfNPw0veVZiUEFHQdEzSgBq7BNscBxE1jEkJUVD0aRqQ7Frx732jz/dB7iNxjvOUdgYmJUQN0PnJWrJVQ7f6m2NK3IG/P/djUkJEQfPNfuBTJbkVZ/jYi0kJURB0uglL7vOi7Yqa3CXYFYzZX9qdgBQsJiVEDeBN7DzcEI1ciqe0MzApIXIZybpV212Cz/2XKSaRszEpIQqCbjdhQKaVh+uUkJ2saLhk4movJiVEDWAFFUjX78NYp0TXfwDRRYJJCZHLiA50NQplUwlZTwmOadJt6wS3CjkpWb9+PTIyMtC+fXt4PB4sW7Ys6M9u3LgRERER6N27d6iHJSIH0HX2g39MCZtKiJws5KTk+PHjSE5OxqxZs0L63LFjxzB69Gj8/Oc/D/WQRLbTa7aJXFeF8aRqftFEF2TFQGt28dkrItQPpKenIz09PeQDjR8/HqNGjUJ4eHhIrStEdmIFVTetcjTUiJe/TyJHs2RMyfz585Gfn4/p06cH9f6KigqUlpYG/BBRcKzYQZX972QniXNct0TbrcSTku+++w5PPvkk3n77bUREBNcwk52djdjYWOMnKSlJOEqihulYX4ks/KbpMvO+JIoNJXpjy6X7iSYllZWVGDVqFGbMmIHu3bsH/bmsrCyUlJQYPwUFBYJREtWPdWAg/y7BtobRaLyp0YXxJLFTyGNKQlFWVobc3Fxs2bIFEydOBABUVVVBKYWIiAh89tlnuPnmm2t9zuv1wuv1SoZG5FqSwyf8A131ykp0TaIoELsP3U80KYmJicHWrVsDXps9ezbWrFmDJUuWoEuXLpKHJzINb2rVlObTbzglmOqj6SntOiEnJeXl5dizZ4/x57179yIvLw+tW7dGx44dkZWVhf379+Ott95CWFgYevXqFfD5uLg4NG/evNbrRI6kYXu/5PRlbXcJJlfhQ4J7hZyU5ObmYsiQIcafMzMzAQBjxozBggULUFhYiH379pkXIRE1juQ6JZrdFbjMvEtYsfcNzxFbhZyUDB48uMFR/QsWLGjw83/605/wpz/9KdTDEtlKs3uwGNbXRCSJe98QNUDHm7DsQFf5FTUlcO00d5Bc0VW31j+3YlJCRCFj/U1EEpiUEAVBpymIViQM+nwb1YydkzlgwBWsWLWY7MGkhMilJG7Aug50JXdgTul+TEqIGsBKMJAVu7RKMFpK7A2DHEy3c9qtmJQQuYzkPi+KC5WQjfznNE9At2JSQhQM1oEA9F3m24iXTSV0AWwdtReTEqIG6LgsuX9Qp/ll+8eUmF820YUoTXeppuAxKSGioOk/pkS/JJMsottJ7VJMSoiCwPqqGltKyAl4+rkXkxKiBujcvyzZKqDfmJJqOv8+yZohQVzLxl5MSogoaKywiUgSkxKiIOi0WJjkQNfzj6EN7hLsCpKL9+l2SrsVkxKiBvAmFohjSohIEpMSIpeRbNXRdfEq7hLsLpJnH88RezEpIQqCXrfgapIrurKlhOzAhMH9mJQQUdC0X6eE/XFUD53GjbkZkxKiBuh4CzOqVq7oSm7DFV1dj0kJEQVN371vqumYZJK12JhmLyYlREHQ6clMNFY+qZID8PxzLyYlRA3QeQyCxIqu/pYSvXi4TokrSP76dDun3YpJCREFTXLxKiIiJiVEQdBpDIUvVolWAV132fX/9vSMn6oZSbHg9ajrOe4WTEqIKGRsKCEiCUxKiFzGWJNDoGxdx2RYsR8QyTNaMQSSYibazsCkhCgIrLCq6TolmIj0wKSEqAE6PllbMCNYuyTNGGdjcxxkDtHTjyeJrSLsDoAuDscrzuKV1d/hUHmFSPkdWkXh0Z93Q0Q482yfyiqFzPfzTC1z2/4SAJw+WdO/8o9gyeafUCWQwYZ5PLirTwdc3/Uy08uWcuL0Wby8+jscKjP/Wi84etL0MslZmJSQJdbsPIjX1+eLHuPG7m1xXefWImXrdBOO9kagWbgHZyoVln69X+QYl7aIFClXjOCYkux/7sQ3BcfML/ic3cVl+GjiDWLlm23trkN4fZ3std4q2vzzj12SzsCkhCxx8kwlAOBnbVtgxHVJppb99y/24mBZBU6dO8bF7hJvBN68r5/RqmG2Ft4I3J7cXqRsHZ06XX3ejezXEV3aRJtW7g9HTmDRl/u0O6998XZt0wL/1c/cax0A2reKQnKHWNPLJWdgUkKW6nRZCzww6GemlvnBlgM4WFbBdTlqGPCzNhjwszZ2h+EY/r1vJFa5rS4z45oEDLjcvO980/eHsejLfdqNa/LF26F1tOnXuhU0+7pdhx3wZA1e6eRSSmjtfQ7OpYsRkxKylESvrSU7wLK7WWuS65T4BriGmTwlKcwTWL4u9N0fye4ICGBSQhbxNXHrduFrdj8gG0jdhD2Sq+ARORSTErKE5M3d/xTM2pvqJtoVIrRJoa45ie861O0BxIfViL2YlJDF9KypOF2Q6mO0lJg+puRc+bxL0kUk5KRk/fr1yMjIQPv27eHxeLBs2bIG37906VLccsstaNu2LWJiYpCamoqVK1c2Nl7SlFTFXbNMkb1eBMok60m2phktAyaXq21Lybn/Mo2nxgg5KTl+/DiSk5Mxa9asoN6/fv163HLLLVi+fDk2b96MIUOGICMjA1u2bAk5WNIXH/bIreQS7nNdTrx26CIS8jol6enpSE9PD/r9M2fODPjzs88+iw8//BAff/wxUlJSQj08aU5m9o38M5mu/eNUTfL3V2WMoZAZU6Lb7Bsfs78Pq+i6NpFbWL54WlVVFcrKytC6df3LgVdUVKCiwr9vQmlpqRWhkSBLZt9ILJ6m6Q2BrGNsUmhyuf4xJSYXLE23eMlRLB/o+sILL6C8vBzDhw+v9z3Z2dmIjY01fpKSzF+qmNxD0wcyspBHsCtECc2+MXvdE6vpHT3ZxdKkZNGiRZgxYwbef/99xMXF1fu+rKwslJSUGD8FBQUWRkkS/E+TclWVZLMrK1i6ELGBrpo1leja/aFrd5PbWNZ98+6772LcuHFYvHgxhg4d2uB7vV4vvF6vRZGRFfSspsgt/DNZBGffcJl5oiazpKXknXfewdixY/HOO+/gtttus+KQ5FAiU4LP/VdmQz6ihvmnwAotnqbZSejvzrI3jsbS7ft2m5BbSsrLy7Fnzx7jz3v37kVeXh5at26Njh07IisrC/v378dbb70FoLrLZsyYMXj55ZfRv39/FBUVAQCioqIQG8vtpy8amq/ySO4gO6bE/LIBfbtDiBoj5JaS3NxcpKSkGNN5MzMzkZKSgmnTpgEACgsLsW/fPuP9b7zxBs6ePYsJEyYgISHB+Jk0aZJJ/wTSgexmefLrObC/mepTJdV9Y0wJNrdcaf5w9bpm9IrWvUJuKRk8eHCDA68WLFgQ8Oe1a9eGeghyMe2Wa9fshkB18wgmrmLdN1w8jS5C3PuGLKH8NbfpjDEl5hdNdEFS3TdhRu2s15mt/ZgSuwO4yDEpIUvoNq3xfLpWsFRNNnEVnn2j96VDFBImJWQpkWXmJTdbM71EchupNXj03ZBPZoNCaXzwcAYmJWQJ/6ZlvPLJelYkrua3lJwrn00ldBFhUkLas2JMCVMpqo8x+8bkcrWdfaP7mBImgbZiUkKWkNq0TBorKHeQTFyl9r6BMaaE5yBdPJiUkCVEWzF0fSQjVxBbZl7TMSU+uk3/ZzXiDExKyFKSF77s4mlyZZM8j+AdXmq2e5imWYlm4ZLDMCkhSyihfnepMomCJtR9o/v6O7om8rp+327BpIRchFOCqW7+G7zg7BuTy5WcMSRKt3jJUZiUkKUkxn/o+kRG7iA2psQ30NXcYi2j23Wp2xgYt2JSQpawYvaN7AMaKyyd+VsdzC/bN2U3zOzuG2NKsF5piV7RktMwKSFLSG6/LvmEo9n9gGwgeW4D+p6D2rY8aPp9uwWTErKW5OwbuaJJe3JdIVKLhWk6+UbbJIqcgUkJWUJqfxCr6NY/TtaR2kJBchoz1cZr3BmYlJD+BMcLSDfNkzUkx5RAaLxUmJGT6HUOKl2XbyZHYFJClpDatIwoFDJTgoVn3+iVk2hPtyTQbZiUkCVEV1v1HUN0MC3pTPL3VyXUNan77BteM9QYTErIUrpVVJrdD+gCRLr4zhUaZnpLybnyzS2W6qFb3eRWTErIElJN3DXLZAJB9RHdc8k4iMkFa3pey+2aTBcDJiVkCd0q1vOxgtWb5OqoUjPLdJ2ppjvd6yrdMSkhS0lUtKy8yQmk1ikBNNz/BuwOocZhUkKWsqQZ3cwy9bsXUB2M887kX2jNZMH8KcH+EnU6DzUKNRBbQx2BSQlZQvJJj3UJ2aXmaW364mk1j2NqydbgdUmNwaSELCXaUiKZ+IiVTFaQWhy15nRd02ff1ChPp2nBOnY11aR5+NpjUkKWUGJTFPhERvapef+SHOiq442SlyU1BpMSInI9qdVRVWBWYq6aA1217MDRC5MoZ2BSQpaQXGbeitk3bI2hutRMFmRn35hbthU4jZ4ag0kJWcKKSlVytU7SnLEQmdmzb2odwjS63tJ1v2Q0D197TErIUhIVLR/IyAlMn32j6ZRgH16W1BhMSsgSksvMn38MCVygTW9S+8hUia5TUvdxnE7X8S98uHEGJiVkCY3q1ACahk0WqXleh5m+TkmNlhJTS7YIb/LUCExKyFKSLQ66Jj4kz9cVYvrsm4BjmFu2rsvMaxRqnXT6rt2ISQlZQnL2jRV0jZtkWXUD422SLhZMSsgaosvMyzwFk3tIjSmxrqXE3LIlGQ8gmvXf6BWtezEpIUvpduHrdDMg6wVOCZYbU8KmErpYhJyUrF+/HhkZGWjfvj08Hg+WLVt2wc+sXbsW1157LbxeLy6//HIsWLCgEaGSzvzdNwLLzJteIrmNsfeN4KAS0ZYSDbMSXbs89fum3SXkpOT48eNITk7GrFmzgnr/3r17cdttt2HIkCHIy8vDY489hnHjxmHlypUhB0vUEFYmZLXADfnMvQvXLK9Ko5ObrYvUFBGhfiA9PR3p6elBv3/OnDno0qULXnzxRQBAz549sWHDBvzlL39BWlpaqIfXxtHjp5Hz/RGR9QXCPB4M+NlluLRFpOllS5GsqHRd+4Ss4ztFth8oxcffHDCt3OMVZ2sdwyw1y1v5bREu8YZcXTfIGxGGG7u1RVRkuKnl+ujWUCK5LP7B0lP4cu9RkbIjwjwY2K0NYpo3Eynfauae5XXIycnB0KFDA15LS0vDY489Vu9nKioqUFFRYfy5tLRUKjwxj76zBRv2HBYr/6bubfHmff3EyjebFTd3TuWj+kSEVzcKL92yH0u37De9/PAwj0j3TXiYB5VVCllLt5pb+DkPDOqKPw7raWqZTORrG7vg3/j2gNx97Je922Pmf6WIlW8l8aSkqKgI8fHxAa/Fx8ejtLQUJ0+eRFRUVK3PZGdnY8aMGdKhiSoqPQUAuDIhBrFR5mWwx06ewY7CUhwsq7jwmx1IZkM+ebr2j1O131zfCYfLK1Bxpkqk/JuviBNZZj4r/Qqs3nHQ1HIBoLDkJH44cgJFJadML9tH12tG4tmm+Nz9ILlDLKIjzbvtHi6vwHcHy1Fcquf9oC7iSUljZGVlITMz0/hzaWkpkpKSbIwodL6n9ukZV6J/18tMK/eL7w7hnrlfadcq4AtXdPE0iTL1+pqpHr2TWmHBWH1aFn3G3dgV427sanq5czfsxZ8/2W56uQCvmbr4vpPn70pGj3YtTSv3k/87gImLtriqdUo8KWnXrh2Ki4sDXisuLkZMTEydrSQA4PV64fV6pUMT5TsJw8I0fVwwmeQlwy3SiUIjtW5L4DH0ui4lo/WNLTT7duAbDK3TQOgLEV+nJDU1FatXrw54bdWqVUhNTZU+tK38CwiZS7cL/Xyi+YPkYFrNv3eiuujW4qorqRWtjeJc9GsMOSkpLy9HXl4e8vLyAFRP+c3Ly8O+ffsAVHe9jB492nj/+PHjkZ+fjyeeeAI7d+7E7Nmz8f777+Pxxx8351/gUL7MWOopXre6xN99Yz5N8xwi2xjrtlhwDP2Y/61UVcncDzxGS4l7aqqQk5Lc3FykpKQgJaV6pG9mZiZSUlIwbdo0AEBhYaGRoABAly5d8Omnn2LVqlVITk7Giy++iL///e+ung4M1LgJCy6opBNLZt8whSAKiuQTNltfahNrObcgubRayGNKBg8e3OBJV9dqrYMHD8aWLVtCPZTWjJYSk8v19wXreRqKzL6xIFHTNRkkqosV47B0u2as6Fo2vaXk3H8v6pYSCo4x0FW3K1OK0EUZcAj3XJdElpB4uOF1WJv0QFc3fedMSoQoY0yJyQUbe3iYXK7WmOgQhcJjST2i5wOZxHcitXOy2J5ONmJSIsR3iki1lOh2Ckr1qdZ1DCJqmNENLHgDJr8qoYdUo6XE3GJtxaREiFTiquvUVMlMnmNKiEJk3Mz0vi7NJLqwo9DEBze2nDMpEeLvQ2RzXQDNKip3PYMQVdPuMtSc1BjDME4JpmBJLZajK8ll5iWbooncTKT7RnBNIiuIbFcBme4bN9Z9TEqESA10tWJ5aAm6xXs+XbvNiOrixvUtnEzqocz3e2RLCV0QpwTXTfLr4PRGouD4bo4yA101vWgE6ybpKcFuwqREiNjiaZo+4oguM+++65JIFAeHW8uoroVaztlSQhfkH1PCKcGARcvMS27IxwqWXMR/OrN18XyS42zMn/jAxdMoSP4NmMwtV/ebo8gy85JT+cRKJrKfaCLPcVgAAmdKSu19w5YSuiCpxdP8o631OgmtCFevb4TIPpK9wLpeh1IpVFWNL0RqSrCu33ldmJRI0XxanBSRKcFW9I/LH4LIMv6Brlw8TVpAS4lUy7mLshImJUKklhXWdJyrQXYnTon+cV2/aaIGaHYdWsns8W81SzN9SvC5/7L7hi5IfO8bzc5BPpEROYcVD9i8LKvVTBg8Jt9xPey+oWDJZa56X+rckI/IObghn5/Uw03N75gDXS+MSYkQYwqYyavl+Ltv9DoJ/fP0JZaZl0/U2BpDbmLFE7bUcgi6UVYMdNXrdtAgJiVCdN//wWyWzL7hUx9RUCRn8bnpBmmGmg+Q3PvmwpiUCPGdiHJTgk0t1jIiSRozP6KQsBGjfmbXrZZMCdb1hlAHJiVCfCciL/5qUrtkBhxD9MLkL5LcQ7c9qHRmxSD/Khd95UxKhBi7BJtcrq7LCsuuHClHt++ZKBTcmsFPamxawJRgqcG0LkoEmZQIkd77RldceprIfsbiaS66mTmVqvL/Pwe6XhiTEiFKqPtG11u6FaP8ZY8hWDiRxYxZfIKbz+n6AGL2VxIw0NXkstl9Q0Gp2Ydo/q6QtY+hE91u7rp+z0TkDFYMdHXTPEEmJQJqnoSa3YPFSE6R1n1GEpHVJMem+buuzS9bktziafJ737ClhBokehJCvqtChn4R16RZ/UoUFI4pkRfwkMpd4y+ISYkAyZPQR9dzUHYqoh5lEtlNsnVR17rJx+wbvORyCL77C1tKqEGiK/hp+sjuH/grsMy8pt8JkV2s2G2cl+U5kl3Xmo8xrAuTEgGSex0Yx9DsGd6aZeYlFyliFUvuITkzRre6yUfqEve1YkjcCzglmIIiuSsk1cbvmCg0VkzaYB5fTbT7xjiGezApEVBlyZRgU4sVZ8Uy8yI0+56JQiHSqsFrJkCVYNd1mDGmxD1fOpMSAdYsK6wX2eWsdct0iOxlxTR6XpfVpLYcAfR9SG0IkxIBomMbNO+sEO3L1nR/HSKrSQ501fX+KLb3jQWbs+o6jqcuTEoESK7g56NbZqzrKH/NvmaiIMmn2UzkqynJga5hnBJMwQhYp8TconVvEeXTApH9JKeS6j491ezwjfF05hYbWKbeX3mARiUls2bNQufOndG8eXP0798fX331VYPvnzlzJnr06IGoqCgkJSXh8ccfx6lTpxoVsA6sGOiq21koucy8FY9kuieDRHURrUV4zQCwZkrwRT3Q9b333kNmZiamT5+Or7/+GsnJyUhLS8PBgwfrfP+iRYvw5JNPYvr06dixYwfmzp2L9957D3/84x+bHLxTBQx0tS0KZ9G1FUP3pz6iunC/qNrE974RWdH13DHML9o2ISclL730Eu6//36MHTsWV155JebMmYPo6GjMmzevzvdv2rQJAwcOxKhRo9C5c2fceuutGDly5AVbV3RWM2sV2/tG07NQZq6+3t8JkdWMDfkEyvbfg/lIBsi2lPg35HNP5RcRyptPnz6NzZs3Iysry3gtLCwMQ4cORU5OTp2fGTBgAN5++2189dVX6NevH/Lz87F8+XLcc8899R6noqICFRUVxp9LS0tDCTNor639Hl/uPWJ6uafPVhn/L7b3jUSZSuGZT3dgz6Fy08veUVj9O9S1otI1bqK68Gyu35x132NZ3n7TyjtRUQlA/oHs3vlNf9Aff9PPcH3Xy5pcTlOElJQcPnwYlZWViI+PD3g9Pj4eO3furPMzo0aNwuHDh3HDDTdAKYWzZ89i/PjxDXbfZGdnY8aMGaGE1ig7CkuxdtchsfLbtvSaXqbk2IbdxeX4+4a9cgcA0KZlpOllcnojUWg8gv03vhJ1G4fV9pLq+npnURl2FpWJlW+mS7wRiGoWjpNnKk25l915bQcTomqakJKSxli7di2effZZzJ49G/3798eePXswadIk/PnPf8bUqVPr/ExWVhYyMzONP5eWliIpKcn02O7u3xGDurc1vVyfazu2Mr1Mya2qfS08sVHNMPUXV5pefquoZhjcQ+77JqLQMOn2m55xFW7q0RZnKmW+leu7tja9zKjIcCx9eAC+PWBOb0JKUitTymmKkJKSNm3aIDw8HMXFxQGvFxcXo127dnV+ZurUqbjnnnswbtw4AMDVV1+N48eP44EHHsBTTz2FsLDaw1q8Xi+8XvOzyvP173oZ+osfRR++wagtIsNxVx/7M+ZgWbM6pVzZRFaTXAlUdKadoNjoZrijd6LdYYSsZ0IMeibE2B2GaUIa6BoZGYk+ffpg9erVxmtVVVVYvXo1UlNT6/zMiRMnaiUe4eHhADizoTFEuyoE92ggIucwxiKwrYQcJuTum8zMTIwZMwZ9+/ZFv379MHPmTBw/fhxjx44FAIwePRqJiYnIzs4GAGRkZOCll15CSkqK0X0zdepUZGRkGMkJhU7kCcf8Ii3hT9QkFoIyvUgi+1mwiCGfbagxQk5KRowYgUOHDmHatGkoKipC7969sWLFCmPw6759+wJaRqZMmQKPx4MpU6Zg//79aNu2LTIyMvDMM8+Y96+4qEjuHcPKhOhiwHVKyKkaNdB14sSJmDhxYp1/t3bt2sADRERg+vTpmD59emMORecRXR76vGPohhUsUWgkx5QQNQb3viGDroseie48rG2nFlH9JBdPM46hWT1CzsCkRDNGs6tI6ey+IboYSC4tQNQUTErIoOtUPiuSKCZq5Ca8ZsipmJRoxiM4J9g/pkTP2kRmG3bTiyRyNba+UFMwKdGU7EZaetE0hyKyjRWbWPKypMZgUqIZyQtdcott3enaekRUF8m1fYiagkmJZiyZEmx6ydLknvpYZZMbSa5TYhTJRJ4agUkJGbjMPNFFgpc4ORSTEs3496wwn7E8tEDZkiT3AzKOIVg2kV04No2chkmJpkQGqBktJQJlE5Fj+Ae6soOSnIVJiWYkEwb/mBK9shLRfTxYZ5MLie42zkUYqQmYlGhKckdcViZE7sZLnJyKSQkZdJ0eaMX0RiZq5CaiizBquocWOQOTEs34pwSbXzZn39Sma6JGFAye3eQ0TErIoOs6JVasTknkJpasd6RbRUKOwKREM5JbjvsqKFYmtbEpmtxEdrdxosZjUqIr0Q35zC9bkuhMAtba5EKis/i4Tgk1AZMSzYhe6BygRnSRYJcnOROTEs1IzjTRdX0BI1zBGla374QoGDIDufWsR8gZmJSQgc2utfFBktxIchYfUVMwKdGM5EwTpeugEiIKiegqyERNwKREU5IrquuWkkjOSDKOIVg2kdUk1yLiekfUFExKNCM7ap59wUQXA17i5FRMSjTjb3YVXPTI9JKtIdOlxfZtci+ReoSXDDUBkxIysNmV6OIgubYPUVMwKdGNaGWiah5CG1ZsyKfdl0LUANEB85wSTE3ApERTshvymV+2rvgkSW7Ea5ycikmJZiRXW/WPKdGrxuKGfESNI7III1eGpiZgUkIGpftIV0GsYMmNmMiT00TYHQCFRnRKsOZjSrYdKMXb//rR1LJZaZMb+a6Zk6crTb9mvj9UHnAMolAwKdFMzetcKWXqTBldx5RERlQ3+K3ffQjrdx8SOUazcM2+FKIGeCPCAQBlFWcxZdk2kWNEhrMhnkLHpIQMuo4pGXldRxSXnsKJikqR8vt0uhStoiNFyiayw8/atsCjN1+O3cXlIuXHRjXDL5ITRMomd2NSopmaLSNKmduqoetCYR0vi8ZLw3vbHQaRNjweDzJv7WF3GES1sH1NY1IphG7dN0RE5A5MSjQjmS/oOqaEiIjcgUmJZmomDGZ3t/hn3zArISIi6zUqKZk1axY6d+6M5s2bo3///vjqq68afP+xY8cwYcIEJCQkwOv1onv37li+fHmjAiY5bCkhIiI7hTzQ9b333kNmZibmzJmD/v37Y+bMmUhLS8OuXbsQFxdX6/2nT5/GLbfcgri4OCxZsgSJiYn48ccf0apVKzPiv+jUbMUwe0yJpuNciYjIJUJOSl566SXcf//9GDt2LABgzpw5+PTTTzFv3jw8+eSTtd4/b948HD16FJs2bUKzZs0AAJ07d25a1ATA/CTCmBLMphIiIrJBSN03p0+fxubNmzF06FB/AWFhGDp0KHJycur8zEcffYTU1FRMmDAB8fHx6NWrF5599llUVta/pkRFRQVKS0sDfugcyRVdlZ4ruhIRkTuElJQcPnwYlZWViI+PD3g9Pj4eRUVFdX4mPz8fS5YsQWVlJZYvX46pU6fixRdfxNNPP13vcbKzsxEbG2v8JCUlhRKmqwUMdDW5A8ffUmJqsUREREERn31TVVWFuLg4vPHGG+jTpw9GjBiBp556CnPmzKn3M1lZWSgpKTF+CgoKpMMkwMhKmJMQEZEdQhpT0qZNG4SHh6O4uDjg9eLiYrRr167OzyQkJKBZs2YIDw83XuvZsyeKiopw+vRpREbWXr7b6/XC6/WGEtpFI3DvG3PLNqYEs6mEiIhsEFJLSWRkJPr06YPVq1cbr1VVVWH16tVITU2t8zMDBw7Enj17UFVVZby2e/duJCQk1JmQkH0UW0qIiMhGIXffZGZm4m9/+xvefPNN7NixAw899BCOHz9uzMYZPXo0srKyjPc/9NBDOHr0KCZNmoTdu3fj008/xbPPPosJEyaY96+4iEi2YnBMCRER2SnkKcEjRozAoUOHMG3aNBQVFaF3795YsWKFMfh13759CAvz5zpJSUlYuXIlHn/8cVxzzTVITEzEpEmT8Ic//MG8f8VFyvTuG6M8ZiVERGS9Ru0SPHHiREycOLHOv1u7dm2t11JTU/Gvf/2rMYei84jufWOMKRE8CBERUT24941mRKcEc0wJERHZiEkJGTimhIiI7MSkRDMBe98IbX7DXYKJiMgOTEo0ZnpOcu6/bCkhIiI7MCnRjGTCYIwpYVJCREQ2YFKiMWVy/41i9w0REdmISQkZuEwJERHZiUmJZgKnBJuLU4KJiMhOTErI4B/oyrSEiIisx6REM5JTgv1jSoiIiKzHpERnZvffnMOGEiIisgOTEs1YMiVY7hBERET1atSGfGSfmgnDcyt3whthXl65bX9J9THYVEJERDZgUqKZMI8H0ZHhOHG6Eou+3CdyjJbNeVoQEZH1ePfRTFiYB2/c0xc5+YdFym8eEY7h1yWJlE1ERNQQJiUauqFbG9zQrY3dYRAREZmKA12JiIjIEZiUEBERkSMwKSEiIiJHYFJCREREjsCkhIiIiByBSQkRERE5ApMSIiIicgQmJUREROQITEqIiIjIEZiUEBERkSMwKSEiIiJHYFJCREREjsCkhIiIiBxBi12ClVIAgNLSUpsjISIiomD57tu++/iFaJGUlJWVAQCSkpJsjoSIiIhCVVZWhtjY2Au+z6OCTV9sVFVVhQMHDqBly5YoKytDUlISCgoKEBMTY3doISstLWX8NtE5doDx20nn2AG949c5doDxK6VQVlaG9u3bIyzswiNGtGgpCQsLQ4cOHQAAHo8HABATE6PlL9iH8dtH59gBxm8nnWMH9I5f59iBizv+YFpIfDjQlYiIiByBSQkRERE5gnZJidfrxfTp0+H1eu0OpVEYv310jh1g/HbSOXZA7/h1jh1g/KHSYqArERERuZ92LSVERETkTkxKiIiIyBGYlBAREZEjMCkhIiIiR7AlKcnOzsZ1112Hli1bIi4uDr/85S+xa9eugPecOnUKEyZMwGWXXYZLLrkEv/71r1FcXBzwnn379uG2225DdHQ04uLiMHnyZJw9e7bOY27cuBERERHo3bu3NrFXVFTgqaeeQqdOneD1etG5c2fMmzdPm/gXLlyI5ORkREdHIyEhAffddx+OHDniiPgfffRR9OnTB16vt95z4v/+7/9w4403onnz5khKSsLzzz+vRexr167FHXfcgYSEBLRo0QK9e/fGwoULmxS7lfHXtGfPHrRs2RKtWrXSJnalFF544QV0794dXq8XiYmJeOaZZ7SJf+XKlbj++uvRsmVLtG3bFr/+9a/xww8/2B7/N998g5EjRyIpKQlRUVHo2bMnXn755VrHWrt2La699lp4vV5cfvnlWLBgQZNitzL+pUuX4pZbbkHbtm0RExOD1NRUrFy5UovYa2rS/VbZIC0tTc2fP19t27ZN5eXlqWHDhqmOHTuq8vJy4z3jx49XSUlJavXq1So3N1ddf/31asCAAcbfnz17VvXq1UsNHTpUbdmyRS1fvly1adNGZWVl1Tref/7zH9W1a1d16623quTkZG1iv/3221X//v3VqlWr1N69e9WmTZvUhg0btIh/w4YNKiwsTL388ssqPz9fffHFF+qqq65Sv/rVr2yPXymlHnnkEfXqq6+qe+65p85zoqSkRMXHx6u7775bbdu2Tb3zzjsqKipKvf76646P/ZlnnlFTpkxRGzduVHv27FEzZ85UYWFh6uOPP2507FbG73P69GnVt29flZ6ermJjY7WJ/ZFHHlE9evRQH374ocrPz1e5ubnqs88+0yL+/Px85fV6VVZWltqzZ4/avHmzGjRokEpJSbE9/rlz56pHH31UrV27Vn3//ffqH//4h4qKilJ//etfA+KPjo5WmZmZavv27eqvf/2rCg8PVytWrNAi/kmTJqnnnntOffXVV2r37t0qKytLNWvWTH399deOj92nqfdbW5KS8x08eFABUOvWrVNKKXXs2DHVrFkztXjxYuM9O3bsUABUTk6OUkqp5cuXq7CwMFVUVGS857XXXlMxMTGqoqIioPwRI0aoKVOmqOnTpzc5KbEq9n/+858qNjZWHTlyxNR4rYr/f//3f1XXrl0DjvXKK6+oxMRE2+Ovqb5zYvbs2erSSy8NOJf+8Ic/qB49ejg+9roMGzZMjR071pS4faTjf+KJJ9RvfvMbNX/+/CYnJVbFvn37dhUREaF27txparznk4p/8eLFKiIiQlVWVhqvffTRR8rj8ajTp087Jn6fhx9+WA0ZMsT48xNPPKGuuuqqgPeMGDFCpaWlmRa7ZPx1ufLKK9WMGTPMCVzJx97U+60jxpSUlJQAAFq3bg0A2Lx5M86cOYOhQ4ca77niiivQsWNH5OTkAABycnJw9dVXIz4+3nhPWloaSktL8e233xqvzZ8/H/n5+Zg+fbpWsX/00Ufo27cvnn/+eSQmJqJ79+74/e9/j5MnT2oRf2pqKgoKCrB8+XIopVBcXIwlS5Zg2LBhtscfjJycHAwaNAiRkZHGa2lpadi1axf+85//ODr2+o7lO45ZJONfs2YNFi9ejFmzZpkXcA1SsX/88cfo2rUrPvnkE3Tp0gWdO3fGuHHjcPToUS3i79OnD8LCwjB//nxUVlaipKQE//jHPzB06FA0a9bMcfGff17n5OQElAFUX7dNvX7qOi5gfvznq6qqQllZmanXrmTsZtxvbd+Qr6qqCo899hgGDhyIXr16AQCKiooQGRlZqx85Pj4eRUVFxntq3hR9f+/7OwD47rvv8OSTT+KLL75ARIT5/1TJ2PPz87FhwwY0b94cH3zwAQ4fPoyHH34YR44cwfz58x0f/8CBA7Fw4UKMGDECp06dwtmzZ5GRkWHqTaax8QejqKgIXbp0qVWG7+8uvfRSx8Z+vvfffx///ve/8frrrzcl5ACS8R85cgT33nsv3n77bZENzCRjz8/Px48//ojFixfjrbfeQmVlJR5//HHcddddWLNmjePj79KlCz777DMMHz4cDz74ICorK5Gamorly5ebEruZ8W/atAnvvfcePv30U+O1+uqm0tJSnDx5ElFRUY6O/3wvvPACysvLMXz48CbHLR27Wfdb25OSCRMmYNu2bdiwYYOp5VZWVmLUqFGYMWMGunfvbmrZPlKxA9Unj8fjwcKFC40dFl966SXcddddmD17tikXl2T827dvx6RJkzBt2jSkpaWhsLAQkydPxvjx4zF37lxTjiEZvzSrYv/8888xduxY/O1vf8NVV11lWrmS8d9///0YNWoUBg0aZHrZgPx1W1FRgbfeesuod+bOnYs+ffpg165d6NGjR5OPIRl/UVER7r//fowZMwYjR45EWVkZpk2bhrvuugurVq0ydmlvCjPi37ZtG+644w5Mnz4dt956a5NjCoVV8S9atAgzZszAhx9+iLi4uEYfqyap2M2839rafTNx4kR88skn+Pzzz9GhQwfj9Xbt2uH06dM4duxYwPuLi4vRrl074z3njyz3/bldu3YoKytDbm4uJk6ciIiICEREROC///u/8c033yAiIqLJTy2SsQNAQkICEhMTA7Z87tmzJ5RS+Omnn5oUuxXxZ2dnY+DAgZg8eTKuueYapKWlYfbs2Zg3bx4KCwttjT8YwfwbG0s6dp9169YhIyMDf/nLXzB69OgmxVyTdPxr1qzBCy+8YFy3v/3tb1FSUoKIiIgmzz6Tjj0hIQEREREBFXPPnj0BVM9Yayrp+GfNmoXY2Fg8//zzSElJwaBBg/D2229j9erV+PLLLx0R//bt2/Hzn/8cDzzwAKZMmRLwd/VdtzExMaY8yEnH7/Puu+9i3LhxeP/992t1RzkxdlPvtyGPQjFBVVWVmjBhgmrfvr3avXt3rb/3DbxZsmSJ8drOnTvrHGxZXFxsvOf1119XMTEx6tSpU6qyslJt3bo14Oehhx5SPXr0UFu3bg0Yeey02H1/joqKUmVlZcZ7li1bpsLCwtSJEycaFbuV8d95551q+PDhAWVv2rRJAVD79++3Nf6aLjTQtebgvqysrCYNdLUqdqWU+vzzz1WLFi3Uq6++2uh47Yp/+/btAdft008/rVq2bKm2bt2qjh496ujYV65cqQCoPXv2GK/l5eUpAGrXrl2Nit3K+DMzM1W/fv0CXjtw4IACoDZu3Gh7/Nu2bVNxcXFq8uTJdR7niSeeUL169Qp4beTIkU0e6GpV/EoptWjRItW8eXO1bNmyJsVsZexm3m9tSUoeeughFRsbq9auXasKCwuNn5o32/Hjx6uOHTuqNWvWqNzcXJWamqpSU1ONv/dNS7311ltVXl6eWrFihWrbtm2dU4J9zJh9Y1XsZWVlqkOHDuquu+5S3377rVq3bp3q1q2bGjdunBbxz58/X0VERKjZs2er77//Xm3YsEH17du3VoVnR/xKKfXdd9+pLVu2qAcffFB1795dbdmyRW3ZssWYbXPs2DEVHx+v7rnnHrVt2zb17rvvqujo6CZNCbYq9jVr1qjo6GiVlZUVcJymzuSyKv7zmTH7xqrYKysr1bXXXqsGDRqkvv76a5Wbm6v69++vbrnlFi3iX716tfJ4PGrGjBlq9+7davPmzSotLU116tSpSQ9DZsS/detW1bZtW/Wb3/wmoIyDBw8a7/FNCZ48ebLasWOHmjVrlilTgq2Kf+HChSoiIkLNmjUr4D3Hjh1zfOzna+z91pakBECdP/Pnzzfec/LkSfXwww+rSy+9VEVHR6tf/epXqrCwMKCcH374QaWnp6uoqCjVpk0b9bvf/U6dOXOm3uOakZRYGfuOHTvU0KFDVVRUlOrQoYPKzMxsUsVgdfyvvPKKuvLKK1VUVJRKSEhQd999t/rpp58cEf9NN91UZzl79+413vPNN9+oG264QXm9XpWYmKj+53/+R4vYx4wZU+ff33TTTVrEfz4zkhIrY9+/f7+688471SWXXKLi4+PVvffe2+SE0Mr433nnHZWSkqJatGih2rZtq26//Xa1Y8cO2+OfPn16nWV06tQp4Fiff/656t27t4qMjFRdu3YNOIbT46/v9zNmzBjHx36+xt5vPeeCJiIiIrKVI9YpISIiImJSQkRERI7ApISIiIgcgUkJEREROQKTEiIiInIEJiVERETkCExKiIiIyBGYlBAREZEjMCkhIiIiR2BSQkRERI7ApISIiIgcgUkJEREROcL/BxCmnD+uAFWcAAAAAElFTkSuQmCC", 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", 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", 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "tuning_len = 1250\n", - "for param in parameters_df.columns:\n", - " plt.figure()\n", - " plt.plot(parameters_df[param].iloc[tuning_len:], label=param)\n", - " # fix y axis text to not be too wide and write as x 10^x\n", - " plt.gca().get_yaxis().get_major_formatter().set_powerlimits((0, 1))\n", - "\n", - " # save figure as pdf\n", - " # plt.savefig(f\"../../../markowitz/figures/tuning_{param}.pdf\", bbox_inches='tight')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Yearly metrics" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'results_fully_tuned' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[17], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m port_returns \u001b[39m=\u001b[39m results_fully_tuned\u001b[39m.\u001b[39mportfolio_returns\n\u001b[1;32m 3\u001b[0m yearly_means_tuned \u001b[39m=\u001b[39m port_returns\u001b[39m.\u001b[39mresample(\u001b[39m\"\u001b[39m\u001b[39mY\u001b[39m\u001b[39m\"\u001b[39m)\u001b[39m.\u001b[39mmean() \u001b[39m*\u001b[39m results_fully_tuned\u001b[39m.\u001b[39mperiods_per_year\n\u001b[1;32m 4\u001b[0m yearly_volas_tuned \u001b[39m=\u001b[39m port_returns\u001b[39m.\u001b[39mresample(\u001b[39m\"\u001b[39m\u001b[39mY\u001b[39m\u001b[39m\"\u001b[39m)\u001b[39m.\u001b[39mstd() \u001b[39m*\u001b[39m np\u001b[39m.\u001b[39msqrt(results_fully_tuned\u001b[39m.\u001b[39mperiods_per_year)\n", - "\u001b[0;31mNameError\u001b[0m: name 'results_fully_tuned' is not defined" - ] - } - ], - "source": [ - "port_returns = results_fully_tuned.portfolio_returns\n", - "\n", - "yearly_means_tuned = port_returns.resample(\"Y\").mean() * results_fully_tuned.periods_per_year\n", - "yearly_volas_tuned = port_returns.resample(\"Y\").std() * np.sqrt(results_fully_tuned.periods_per_year)\n", - "yearly_sharpes_tuned = yearly_means_tuned / yearly_volas_tuned\n", - "\n", - "yearly_means_plus_plus = results_soft.portfolio_returns.resample(\"Y\").mean() * results_soft.periods_per_year\n", - "yearly_volas_plus_plus = results_soft.portfolio_returns.resample(\"Y\").std() * np.sqrt(results_soft.periods_per_year)\n", - "yearly_sharpes_plus_plus = yearly_means_plus_plus / yearly_volas_plus_plus\n", - "\n", - "yearly_means_hard = results_hard.portfolio_returns.resample(\"Y\").mean() * results_hard.periods_per_year\n", - "yearly_volas_hard = results_hard.portfolio_returns.resample(\"Y\").std() * np.sqrt(results_hard.periods_per_year)\n", - "yearly_sharpes_hard = yearly_means_hard / yearly_volas_hard\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 167, - "metadata": {}, - "outputs": [], - "source": [ - "equal_means = pd.Series(np.array([33.6, 13.1, -26.3, 38.6, 17.6, 6.2, 20.3, 30.7, 15.8, 4.3, 15.0, 20.9, -1.9, 27.8, 20.1, 27.3, -5.9, 10.7]), index = yearly_means_tuned.index) / 100\n", - "\n", - "basic_means = pd.Series([-52.6, -69.7, -13.5, 6.7, -45.6, 0.4, 21.8, -0.0, -16.3, 11.2, 9.9, 23.5, 22.1, 2.1, 70.6, 5.6, 34.2, 25.0], index = yearly_means_tuned.index) / 100\n", - "\n", - "equal_volas = pd.Series([8.5, 15.6, 42.0, 30.1, 17.3, 22.8, 12.3, 11.0, 10.8, 15.1, 12.8, 6.6, 16.0, 12.0, 35.8, 12.2, 20.8, 12.4], index = yearly_means_tuned.index) / 100\n", - "basic_volas = pd.Series([13.5, 15.3, 23.5, 13.8, 9.7, 11.0, 12.5, 11.8, 10.8, 13.4, 14.4, 13.9, 15.2, 13.2, 21.6, 11.2, 14.0, 12.3], index = yearly_means_tuned.index) / 100\n", - "\n", - "equal_sharpes = pd.Series([3.51, 0.61, -0.66, 1.28, 1.01, 0.27, 1.64, 2.78, 1.46, 0.28, 1.15, 3.08, -0.20, 2.17, 0.55, 2.24, -0.34, 0.58], index = yearly_means_tuned.index) \n", - "basic_sharpes = pd.Series([-4.18, -4.81, -0.64, 0.47, -4.71, 0.03, 1.74, -0.01, -1.51, 0.82, 0.67, 1.64, 1.37, 0.04, 3.25, 0.49, 2.35, 1.74], index = yearly_means_tuned.index) " - ] - }, - { - "cell_type": "code", - "execution_count": 249, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "yearly_means_tuned.plot(label=\"Tuned Markowitz++\", marker=\"o\") \n", - "# yearly_means_hard.plot(label=\"Hard Markowitz\", marker=\"o\")\n", - "equal_means.plot(label=\"Equal weights\", marker=\"o\") \n", - "basic_means.plot(label=\"Basic Markowitz\", marker=\"o\") \n", - "plt.ylabel(\"Mean return\")\n", - "plt.gca().yaxis.set_major_formatter(plt.FuncFormatter(lambda x, loc: \"{:,}%\".format(int(x*100))))\n", - "plt.legend();\n", - "\n", - "# save as pdf\n", - "# plt.savefig(\"../../../markowitz/figures/yearly_means.pdf\", bbox_inches='tight')" - ] - }, - { - "cell_type": "code", - "execution_count": 248, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "yearly_volas_tuned.plot(label=\"Tuned Markowitz++\", marker=\"o\")\n", - "# yearly_volas_hard.plot(label=\"Hard Markowitz\", marker=\"o\")\n", - "\n", - "equal_volas.plot(label=\"Equal weights\", marker=\"o\")\n", - "basic_volas.plot(label=\"Basic Markowitz\", marker=\"o\")\n", - "plt.ylabel(\"Volatility\")\n", - "plt.gca().yaxis.set_major_formatter(plt.FuncFormatter(lambda x, loc: \"{:,}%\".format(int(x*100))));\n", - "\n", - "# plt.savefig(\"../../../markowitz/figures/yearly_volas.pdf\", bbox_inches='tight')" - ] - }, - { - "cell_type": "code", - "execution_count": 251, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "yearly_sharpes_tuned.plot(label=\"Tuned Markowitz++\", marker=\"o\")\n", - "yearly_sharpes_plus_plus.plot(label=\"Markowitz++\", marker=\"o\")\n", - "yearly_sharpes_hard.plot(label=\"Hard Markowitz\", marker=\"o\")\n", - "\n", - "equal_sharpes.plot(label=\"Equal weights\", marker=\"o\")\n", - "basic_sharpes.plot(label=\"Basic Markowitz\", marker=\"o\")\n", - "plt.ylabel(\"Sharpe ratio\")\n", - "plt.gca().yaxis.set_major_formatter(plt.FuncFormatter(lambda x, loc: \"{:,}\".format(int(x))));\n", - "plt.legend();\n", - "\n", - "# plt.savefig(\"../../../markowitz/figures/yearly_sharpes.pdf\", bbox_inches='tight')" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": ".venv", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.12" - }, - "orig_nbformat": 4 - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/experiments/tuning_yearly_retune.py b/experiments/tuning_yearly_retune.py index 386e378..38e134a 100644 --- a/experiments/tuning_yearly_retune.py +++ b/experiments/tuning_yearly_retune.py @@ -108,6 +108,7 @@ ### PLOT RESULTS ### tuning_len = 1250 + show_plot = False for param in parameters_df.columns: plt.figure() plt.plot(parameters_df[param].iloc[tuning_len:], label=param) @@ -117,6 +118,5 @@ experiment_path() / f"tuning_results/tuning_{param}.pdf", bbox_inches="tight", ) - plt.show() - - # save figure as pdf + if show_plot: + plt.show() diff --git a/experiments/yearly_metrics.py b/experiments/yearly_metrics.py index fdc4854..0afe5d1 100644 --- a/experiments/yearly_metrics.py +++ b/experiments/yearly_metrics.py @@ -207,6 +207,8 @@ index=yearly_means_tuned.index, ) + show_plot = False + # means yearly_means_tuned.plot(label="Tuned Markowitz++", marker="o") equal_means.plot(label="Equal weights", marker="o") @@ -215,7 +217,8 @@ plt.gca().yaxis.set_major_formatter(plt.FuncFormatter(lambda x, loc: f"{int(x * 100):,}%")) plt.legend() plt.savefig(experiment_path() / "tuning_results/yearly_means.pdf", bbox_inches="tight") - plt.show() + if show_plot: + plt.show() # volas yearly_volas_tuned.plot(label="Tuned Markowitz++", marker="o") @@ -224,7 +227,8 @@ plt.ylabel("Volatility") plt.gca().yaxis.set_major_formatter(plt.FuncFormatter(lambda x, loc: f"{int(x * 100):,}%")) plt.savefig(experiment_path() / "tuning_results/yearly_volas.pdf", bbox_inches="tight") - plt.show() + if show_plot: + plt.show() # sharpes yearly_sharpes_tuned.plot(label="Tuned Markowitz++", marker="o") @@ -234,4 +238,5 @@ plt.gca().yaxis.set_major_formatter(plt.FuncFormatter(lambda x, loc: f"{int(x):,}")) plt.legend() plt.savefig(experiment_path() / "tuning_results/yearly_sharpes.pdf", bbox_inches="tight") - plt.show() + if show_plot: + plt.show() diff --git a/requirements_frozen.txt b/requirements_frozen.txt new file mode 100644 index 0000000..69a3589 --- /dev/null +++ b/requirements_frozen.txt @@ -0,0 +1,27 @@ +clarabel==0.6.0 +contourpy==1.2.0 +cvxpy==1.4.1 +cycler==0.12.1 +ecos==2.0.12 +fonttools==4.47.0 +Jinja2==3.1.2 +kiwisolver==1.4.5 +loguru==0.7.2 +MarkupSafe==2.1.3 +matplotlib==3.8.2 +Mosek==10.1.21 +numpy==1.26.3 +osqp==0.6.3 +packaging==23.2 +pandas==2.1.4 +pillow==10.2.0 +pybind11==2.11.1 +pyparsing==3.1.1 +python-dateutil==2.8.2 +pytz==2023.3.post1 +qdldl==0.1.7.post0 +scipy==1.11.4 +scs==3.2.4.post1 +six==1.16.0 +tabulate==0.9.0 +tzdata==2023.4