33944 lines
901 KiB
Plaintext
33944 lines
901 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Regime Detection\n",
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"\n",
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"Description: \n",
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"We detect market regimes (up, down, sideways) using a simple rule—if a short moving average is above a longer one, label = +1 (“up” regime), if below, label = -1 (“down” regime), otherwise 0 (“sideways”). By identifying these regimes, we can adapt trading strategies to different market states or selectively trade only in certain conditions."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### 📌 Important Note:\n",
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"This notebook contains *interactive charts generated using Vectorbt. \n",
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"GitHub does not display interactive Plotly charts, so the graphs will not be visible here. \n",
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"\n",
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"✅ To view the charts, please download this notebook and run it on your local machine. \n",
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"Make sure you have Vectorbt and its dependencies installed to regenerate the visualizations.\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Part 1: Data & Feature Engineering\n",
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"\n",
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"**Objective:** \n",
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"Load raw price data (MetaTrader 5 or CSV) and transform it into a feature-rich dataset.\n",
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"\n",
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"**Tasks:**\n",
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"- Fetch historical bars \n",
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"- Apply `ta.add_all_ta_features` or custom features \n",
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"- (Optionally) create specific labels (multi-bar, double-barrier, regime, etc.) \n",
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"- Clean/prepare the final feature matrix **X** and target **y** "
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Number of folds created: 3\n",
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"\n",
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"===== Fold 1 =====\n",
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"Train size: 237, Test size: 237\n",
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"Selected features for Fold 1: ['trend_kst_sig', 'trend_macd_signal', 'momentum_ppo_signal', 'trend_visual_ichimoku_b', 'momentum_tsi', 'trend_kst', 'trend_trix', 'trend_aroon_up', 'trend_visual_ichimoku_a', 'trend_macd', 'momentum_ppo', 'momentum_stoch_rsi_k', 'volatility_ui', 'trend_ichimoku_b', 'momentum_stoch_rsi_d', 'trend_ichimoku_conv', 'trend_mass_index', 'trend_adx_neg', 'momentum_wr', 'momentum_stoch_rsi']\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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" File \"c:\\Users\\moham\\miniconda3\\envs\\ml\\Lib\\site-packages\\joblib\\externals\\loky\\backend\\context.py\", line 257, in _count_physical_cores\n",
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" cpu_info = subprocess.run(\n",
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" ^^^^^^^^^^^^^^^\n",
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" File \"c:\\Users\\moham\\miniconda3\\envs\\ml\\Lib\\subprocess.py\", line 548, in run\n",
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" with Popen(*popenargs, **kwargs) as process:\n",
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" ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
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" File \"c:\\Users\\moham\\miniconda3\\envs\\ml\\Lib\\subprocess.py\", line 1026, in __init__\n",
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" self._execute_child(args, executable, preexec_fn, close_fds,\n",
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" File \"c:\\Users\\moham\\miniconda3\\envs\\ml\\Lib\\subprocess.py\", line 1538, in _execute_child\n",
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" hp, ht, pid, tid = _winapi.CreateProcess(executable, args,\n",
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" ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[LightGBM] [Info] Number of positive: 166, number of negative: 71\n",
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"[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000173 seconds.\n",
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"You can set `force_col_wise=true` to remove the overhead.\n",
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"[LightGBM] [Info] Total Bins 1418\n",
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"[LightGBM] [Info] Number of data points in the train set: 237, number of used features: 20\n",
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"[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.700422 -> initscore=0.849308\n",
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"[LightGBM] [Info] Start training from score 0.849308\n",
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"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
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"\n",
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"===== Fold 2 =====\n",
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"Train size: 474, Test size: 237\n",
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"Selected features for Fold 2: ['trend_kst_sig', 'trend_macd_signal', 'momentum_ppo_signal', 'trend_trix', 'trend_kst', 'momentum_tsi', 'momentum_ppo', 'trend_macd', 'momentum_stoch_rsi', 'momentum_ppo_hist', 'momentum_stoch_rsi_k', 'trend_macd_diff', 'trend_visual_ichimoku_a', 'trend_kst_diff', 'momentum_stoch_rsi_d', 'volume_nvi', 'trend_aroon_up', 'trend_aroon_ind', 'trend_aroon_down', 'trend_adx_neg']\n",
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"[LightGBM] [Info] Number of positive: 347, number of negative: 127\n",
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"[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n",
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"You can set `force_col_wise=true` to remove the overhead.\n",
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"[LightGBM] [Info] Total Bins 2730\n",
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"[LightGBM] [Info] Number of data points in the train set: 474, number of used features: 20\n",
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"[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.732068 -> initscore=1.005138\n",
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"[LightGBM] [Info] Start training from score 1.005138\n",
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"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"\n",
|
|
"===== Fold 3 =====\n",
|
|
"Train size: 711, Test size: 237\n",
|
|
"Selected features for Fold 3: ['trend_kst_sig', 'trend_macd_signal', 'momentum_ppo_signal', 'trend_kst', 'trend_trix', 'momentum_tsi', 'momentum_ppo', 'trend_macd', 'momentum_stoch_rsi_k', 'momentum_ppo_hist', 'trend_aroon_up', 'trend_macd_diff', 'momentum_stoch_rsi', 'momentum_stoch_rsi_d', 'volatility_ui', 'trend_aroon_down', 'trend_kst_diff', 'momentum_rsi', 'momentum_ao', 'trend_stc']\n",
|
|
"[LightGBM] [Info] Number of positive: 470, number of negative: 241\n",
|
|
"[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n",
|
|
"You can set `force_col_wise=true` to remove the overhead.\n",
|
|
"[LightGBM] [Info] Total Bins 4326\n",
|
|
"[LightGBM] [Info] Number of data points in the train set: 711, number of used features: 20\n",
|
|
"[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.661041 -> initscore=0.667936\n",
|
|
"[LightGBM] [Info] Start training from score 0.667936\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
|
|
"\n",
|
|
"=== Fold 1 Results ===\n",
|
|
"RandomForestClassifier: ACC=0.95, Return=-2.82%, Sharpe=-0.00\n",
|
|
"GradientBoostingClassifier: ACC=0.97, Return=-6.91%, Sharpe=-0.02\n",
|
|
"SVC: ACC=0.89, Return=14.37%, Sharpe=0.06\n",
|
|
"XGBClassifier: ACC=0.96, Return=-3.55%, Sharpe=-0.01\n",
|
|
"LGBMClassifier: ACC=0.97, Return=-8.13%, Sharpe=-0.03\n",
|
|
"\n",
|
|
"=== Fold 2 Results ===\n",
|
|
"RandomForestClassifier: ACC=0.95, Return=-25.27%, Sharpe=-0.11\n",
|
|
"GradientBoostingClassifier: ACC=0.97, Return=-18.73%, Sharpe=-0.08\n",
|
|
"SVC: ACC=0.92, Return=-15.33%, Sharpe=-0.06\n",
|
|
"XGBClassifier: ACC=0.97, Return=-22.06%, Sharpe=-0.09\n",
|
|
"LGBMClassifier: ACC=0.97, Return=-22.06%, Sharpe=-0.09\n",
|
|
"\n",
|
|
"=== Fold 3 Results ===\n",
|
|
"RandomForestClassifier: ACC=0.92, Return=-14.90%, Sharpe=-0.05\n",
|
|
"GradientBoostingClassifier: ACC=0.86, Return=-16.71%, Sharpe=-0.06\n",
|
|
"SVC: ACC=0.91, Return=-30.49%, Sharpe=-0.13\n",
|
|
"XGBClassifier: ACC=0.89, Return=-8.63%, Sharpe=-0.03\n",
|
|
"LGBMClassifier: ACC=0.89, Return=-14.26%, Sharpe=-0.05\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# REGIME DETECTION + LabelEncoder approach for SHIFTED labels\n",
|
|
"import sys\n",
|
|
"import os\n",
|
|
"import warnings\n",
|
|
"from pathlib import Path\n",
|
|
"\n",
|
|
"# ---------------------------------------------------------------------------\n",
|
|
"# 1) SET PROJECT ROOT AND UPDATE PATH/WORKING DIRECTORY\n",
|
|
"# ---------------------------------------------------------------------------\n",
|
|
"project_root = Path.cwd().parent.parent # Adjust if your notebook is in notebooks/time_series\n",
|
|
"sys.path.append(str(project_root))\n",
|
|
"os.chdir(str(project_root))\n",
|
|
"warnings.filterwarnings(\"ignore\")\n",
|
|
"\n",
|
|
"import pandas as pd\n",
|
|
"import numpy as np\n",
|
|
"import MetaTrader5 as mt5\n",
|
|
"import vectorbt as vbt\n",
|
|
"import joblib\n",
|
|
"\n",
|
|
"# Our modules\n",
|
|
"from data.data_loader import get_data_mt5\n",
|
|
"from features.feature_engineering import add_all_ta_features\n",
|
|
"from models.model_training import (\n",
|
|
" select_features_rf_reg,\n",
|
|
" walk_forward_splits\n",
|
|
")\n",
|
|
"from backtests.simple_backtest import simulate_trading, calculate_sharpe_ratio\n",
|
|
"from features.labeling_schemes import create_labels_regime_detection # or define inline\n",
|
|
"\n",
|
|
"\n",
|
|
"\n",
|
|
"\n",
|
|
"# Sklearn / Models\n",
|
|
"from sklearn.preprocessing import StandardScaler, LabelEncoder\n",
|
|
"from sklearn.metrics import accuracy_score\n",
|
|
"from sklearn.ensemble import RandomForestClassifier, GradientBoostingClassifier\n",
|
|
"from sklearn.svm import SVC\n",
|
|
"from xgboost import XGBClassifier\n",
|
|
"from lightgbm import LGBMClassifier\n",
|
|
"from sklearn.naive_bayes import GaussianNB, BernoulliNB\n",
|
|
"\n",
|
|
"\n",
|
|
"###########################################################\n",
|
|
"# 1) DATA LOADING & FEATURE ENGINEERING\n",
|
|
"###########################################################\n",
|
|
"if not mt5.initialize():\n",
|
|
" print(\"Failed to initialize MT5\")\n",
|
|
"else:\n",
|
|
" data = get_data_mt5(symbol=\"BTCUSD\", timeframe=mt5.TIMEFRAME_H4, n_bars=2000, start_pos=2000)\n",
|
|
" mt5.shutdown()\n",
|
|
"\n",
|
|
"df = add_all_ta_features(data)\n",
|
|
"\n",
|
|
"###########################################################\n",
|
|
"# 2) Regime Detection Labeling\n",
|
|
"###########################################################\n",
|
|
"\n",
|
|
"\n",
|
|
"df_lbl = create_labels_regime_detection(df, short_window=20, long_window=50)\n",
|
|
"\n",
|
|
"# X => all features except the label columns\n",
|
|
"X = df_lbl.drop(columns=[\"regime_label\", \"ma_short\", \"ma_long\"])\n",
|
|
"y = df_lbl[\"regime_label\"] # in {-1,0,+1}\n",
|
|
"\n",
|
|
"###########################################################\n",
|
|
"# SHIFT LABELS? \n",
|
|
"# We'll SHIFT them to [0,1,2] in each fold with LabelEncoder\n",
|
|
"# so we can handle folds with only two classes, e.g. {0,2}.\n",
|
|
"###########################################################\n",
|
|
"\n",
|
|
"###########################################################\n",
|
|
"# 3) WALK-FORWARD SPLITS\n",
|
|
"###########################################################\n",
|
|
"folds = walk_forward_splits(X, y, n_splits=3)\n",
|
|
"print(f\"Number of folds created: {len(folds)}\")\n",
|
|
"\n",
|
|
"###########################################################\n",
|
|
"# 4) DEFINE CLASSIFICATION MODELS\n",
|
|
"###########################################################\n",
|
|
"models = {\n",
|
|
" \"RandomForestClassifier\": RandomForestClassifier(n_estimators=100, random_state=42),\n",
|
|
" \"GradientBoostingClassifier\": GradientBoostingClassifier(n_estimators=100, learning_rate=0.1, max_depth=5, random_state=42),\n",
|
|
" \"SVC\": SVC(C=1.0, kernel='rbf', probability=True),\n",
|
|
" \"XGBClassifier\": XGBClassifier(n_estimators=100, learning_rate=0.1, random_state=42),\n",
|
|
" \"LGBMClassifier\": LGBMClassifier(n_estimators=100, learning_rate=0.1, random_state=42),\n",
|
|
" \"GaussianNB\": GaussianNB(), # <-- Added Bayesian Classification Model\n",
|
|
" \"BernoulliNB\": BernoulliNB() # <-- Another Bayesian Model (good for binary data)\n",
|
|
"}\n",
|
|
"\n",
|
|
"###########################################################\n",
|
|
"# 5) LOOP OVER FOLDS + SIMPLE BACKTEST (with LabelEncoder)\n",
|
|
"###########################################################\n",
|
|
"fold_results = {}\n",
|
|
"\n",
|
|
"for fold_i, (X_train_fold, y_train_fold, X_test_fold, y_test_fold) in enumerate(folds, start=1):\n",
|
|
" print(f\"\\n===== Fold {fold_i} =====\")\n",
|
|
" print(f\"Train size: {len(X_train_fold)}, Test size: {len(X_test_fold)}\")\n",
|
|
" \n",
|
|
" # 5.1 SHIFT labels with LabelEncoder so classes become consecutive integers\n",
|
|
" le = LabelEncoder()\n",
|
|
" \n",
|
|
" # Fit on the training labels (which might be e.g. {-1,+1}, => SHIFT with le)\n",
|
|
" # or {0,1} => SHIFT, etc. This ensures e.g. {0,2} becomes {0,1}.\n",
|
|
" le.fit(y_train_fold)\n",
|
|
" y_train_enc = le.transform(y_train_fold)\n",
|
|
" \n",
|
|
" # 5.2 Feature selection\n",
|
|
" # We can pass the encoded y to select_features_rf_reg\n",
|
|
" # because it just needs an estimator with .fit(X, y).\n",
|
|
" # SHIFT isn't strictly necessary for random forest's .feature_importances_,\n",
|
|
" # but let's be consistent.\n",
|
|
" rf_for_fs = RandomForestClassifier(n_estimators=100, random_state=42)\n",
|
|
" X_train_sel, selected_idx = select_features_rf_reg(\n",
|
|
" X_train_fold, y_train_enc, estimator=rf_for_fs, max_features=20\n",
|
|
" )\n",
|
|
" feats = X_train_fold.columns[selected_idx]\n",
|
|
" print(f\"Selected features for Fold {fold_i}: {feats.tolist()}\")\n",
|
|
"\n",
|
|
" X_test_sel = X_test_fold[feats]\n",
|
|
"\n",
|
|
" # 5.3 Scale\n",
|
|
" scaler = StandardScaler()\n",
|
|
" X_train_scaled = scaler.fit_transform(X_train_sel)\n",
|
|
" X_test_scaled = scaler.transform(X_test_sel)\n",
|
|
"\n",
|
|
" fold_results[fold_i] = {}\n",
|
|
"\n",
|
|
" for model_name, model in models.items():\n",
|
|
" # 5.4 Train on the encoded training labels\n",
|
|
" model.fit(X_train_scaled, y_train_enc)\n",
|
|
"\n",
|
|
" # 5.5 Predict encoded classes on test\n",
|
|
" preds_enc = model.predict(X_test_scaled)\n",
|
|
" \n",
|
|
" # 5.6 Decode them back to the original label set (which might be e.g. [-1,0,+1])\n",
|
|
" preds_fold = le.inverse_transform(preds_enc)\n",
|
|
"\n",
|
|
" # 5.7 Evaluate accuracy on the unencoded test labels\n",
|
|
" acc = accuracy_score(y_test_fold, preds_fold)\n",
|
|
"\n",
|
|
" # 5.8 Convert classification => signals\n",
|
|
" # If your original labels are: +1 => up, -1 => down, 0 => sideways,\n",
|
|
" # then we interpret them as: +1 => buy, -1 => sell, 0 => no trade\n",
|
|
" signals = preds_fold\n",
|
|
"\n",
|
|
" # Align with test portion\n",
|
|
" df_test_fold = df_lbl.loc[X_test_fold.index].copy()\n",
|
|
"\n",
|
|
" # 5.9 Simple backtest with cost\n",
|
|
" daily_returns, total_return = simulate_trading(signals, df_test_fold, cost=0.0002)\n",
|
|
" sr = calculate_sharpe_ratio(np.array(daily_returns))\n",
|
|
"\n",
|
|
" fold_results[fold_i][model_name] = {\n",
|
|
" \"Accuracy\": acc,\n",
|
|
" \"TotalReturn\": total_return,\n",
|
|
" \"Sharpe\": sr\n",
|
|
" }\n",
|
|
"\n",
|
|
"###########################################################\n",
|
|
"# 6) PRINT RESULTS\n",
|
|
"###########################################################\n",
|
|
"for fold_i, model_dict in fold_results.items():\n",
|
|
" print(f\"\\n=== Fold {fold_i} Results ===\")\n",
|
|
" for model_name, stats in model_dict.items():\n",
|
|
" acc = stats[\"Accuracy\"]\n",
|
|
" ret = stats[\"TotalReturn\"]\n",
|
|
" sr = stats[\"Sharpe\"]\n",
|
|
" print(f\"{model_name}: ACC={acc:.2f}, Return={ret:.2f}%, Sharpe={sr:.2f}\")\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Part 2: Model Training & Hyperparameter Tuning\n",
|
|
"\n",
|
|
"**Objective:** \n",
|
|
"Train an ML model (e.g., RandomForest, XGBoost) on the engineered features to predict the chosen labels.\n",
|
|
"\n",
|
|
"**Tasks:**\n",
|
|
"- Perform time-based or walk-forward splits \n",
|
|
"- Select top features if desired (e.g., using RandomForest feature importance) \n",
|
|
"- Use `RandomizedSearchCV` or `GridSearchCV` to find optimal hyperparameters \n",
|
|
"- Save the best model pipeline (e.g., `best_rf_pipeline.pkl`) "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Unique classes in y_full: [-1 1]\n",
|
|
"Unique classes in y_full_shifted: [0 2]\n",
|
|
"Tuning portion size: 1560\n",
|
|
"Fitting 3 folds for each of 10 candidates, totalling 30 fits\n",
|
|
"Best params: {'clf__n_estimators': 200, 'clf__min_samples_split': 5, 'clf__max_features': 'sqrt', 'clf__max_depth': 10}\n",
|
|
"Best score (accuracy): 0.9290598290598292\n",
|
|
"Saved best estimator to 'best_rf_rd_pipeline.pkl'\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# Code 2: Hyperparameter Tuning for a Classification Model (Regime Detection)\n",
|
|
"\n",
|
|
"import sys\n",
|
|
"import os\n",
|
|
"import warnings\n",
|
|
"from pathlib import Path\n",
|
|
"\n",
|
|
"# ---------------------------------------------------------------------------\n",
|
|
"# 1) SET PROJECT ROOT AND UPDATE PATH/WORKING DIRECTORY\n",
|
|
"# ---------------------------------------------------------------------------\n",
|
|
"project_root = Path.cwd().parent.parent # Adjust if your notebook is in notebooks/time_series\n",
|
|
"sys.path.append(str(project_root))\n",
|
|
"os.chdir(str(project_root))\n",
|
|
"warnings.filterwarnings(\"ignore\")\n",
|
|
"\n",
|
|
"import pandas as pd\n",
|
|
"import numpy as np\n",
|
|
"import MetaTrader5 as mt5\n",
|
|
"import joblib\n",
|
|
"\n",
|
|
"# Sklearn / Models\n",
|
|
"from sklearn.preprocessing import StandardScaler\n",
|
|
"from sklearn.ensemble import RandomForestClassifier\n",
|
|
"from sklearn.model_selection import TimeSeriesSplit, RandomizedSearchCV\n",
|
|
"from sklearn.metrics import accuracy_score, make_scorer\n",
|
|
"from sklearn.pipeline import Pipeline\n",
|
|
"\n",
|
|
"# Your modules\n",
|
|
"from data.data_loader import get_data_mt5\n",
|
|
"from features.feature_engineering import add_all_ta_features\n",
|
|
"from features.labeling_schemes import create_labels_regime_detection # or define inline\n",
|
|
"\n",
|
|
"\n",
|
|
"\n",
|
|
"\n",
|
|
"###########################################################\n",
|
|
"# 1) DATA LOADING & FEATURE ENGINEERING\n",
|
|
"###########################################################\n",
|
|
"if not mt5.initialize():\n",
|
|
" print(\"Failed to initialize MT5\")\n",
|
|
"else:\n",
|
|
" data = get_data_mt5(symbol=\"BTCUSD\", timeframe=mt5.TIMEFRAME_H4, n_bars=2000, start_pos=2000)\n",
|
|
" mt5.shutdown()\n",
|
|
"\n",
|
|
"df = add_all_ta_features(data)\n",
|
|
"\n",
|
|
"###########################################################\n",
|
|
"# 2) Regime Detection Labeling\n",
|
|
"###########################################################\n",
|
|
"\n",
|
|
"# Create classification labels for regime detection\n",
|
|
"df_lbl = create_labels_regime_detection(df, short_window=20, long_window=50)\n",
|
|
"\n",
|
|
"# Now we have columns: 'ma_short', 'ma_long', 'regime_label' in {-1,0,+1}\n",
|
|
"X_full = df_lbl.drop(columns=[\"regime_label\", \"ma_short\", \"ma_long\"])\n",
|
|
"y_full = df_lbl[\"regime_label\"]\n",
|
|
"\n",
|
|
"# SHIFT LABELS from [-1,0,+1] => [0,1,2]\n",
|
|
"# so the classifier won't complain about negative labels\n",
|
|
"y_full_shifted = y_full + 1 # -1->0, 0->1, +1->2\n",
|
|
"\n",
|
|
"print(\"Unique classes in y_full:\", y_full.unique())\n",
|
|
"print(\"Unique classes in y_full_shifted:\", y_full_shifted.unique())\n",
|
|
"\n",
|
|
"# Ensure chronological order if needed\n",
|
|
"# X_full = X_full.sort_index()\n",
|
|
"# y_full_shifted = y_full_shifted.loc[X_full.index]\n",
|
|
"\n",
|
|
"###########################################################\n",
|
|
"# 3) DEFINE YOUR TRAIN PORTION\n",
|
|
"###########################################################\n",
|
|
"# e.g., first 80% for hyperparam tuning\n",
|
|
"split_idx = int(len(X_full) * 0.8)\n",
|
|
"X_tune = X_full.iloc[:split_idx].copy()\n",
|
|
"y_tune_shifted = y_full_shifted.iloc[:split_idx].copy()\n",
|
|
"\n",
|
|
"print(f\"Tuning portion size: {len(X_tune)}\")\n",
|
|
"\n",
|
|
"###########################################################\n",
|
|
"# 4) TIME-BASED CV (TimeSeriesSplit)\n",
|
|
"###########################################################\n",
|
|
"tscv = TimeSeriesSplit(n_splits=3)\n",
|
|
"\n",
|
|
"# We'll define a scoring for classification (accuracy)\n",
|
|
"scorer = make_scorer(accuracy_score)\n",
|
|
"\n",
|
|
"###########################################################\n",
|
|
"# 5) BUILD A PIPELINE\n",
|
|
"###########################################################\n",
|
|
"pipeline = Pipeline([\n",
|
|
" (\"scaler\", StandardScaler()),\n",
|
|
" (\"clf\", RandomForestClassifier(random_state=42))\n",
|
|
"])\n",
|
|
"\n",
|
|
"###########################################################\n",
|
|
"# 6) DEFINE PARAM DISTRIBUTIONS FOR RandomForestClassifier\n",
|
|
"###########################################################\n",
|
|
"param_distributions = {\n",
|
|
" \"clf__n_estimators\": [100, 200, 300],\n",
|
|
" \"clf__max_depth\": [None, 5, 10, 15],\n",
|
|
" \"clf__min_samples_split\": [2, 5, 10],\n",
|
|
" \"clf__max_features\": [\"auto\", \"sqrt\", 0.5]\n",
|
|
"}\n",
|
|
"\n",
|
|
"###########################################################\n",
|
|
"# 7) SET UP RandomizedSearchCV\n",
|
|
"###########################################################\n",
|
|
"random_search = RandomizedSearchCV(\n",
|
|
" estimator=pipeline,\n",
|
|
" param_distributions=param_distributions,\n",
|
|
" n_iter=10, # how many random combos\n",
|
|
" scoring=scorer, # 'accuracy' metric\n",
|
|
" cv=tscv, # time-based folds\n",
|
|
" random_state=42,\n",
|
|
" n_jobs=-1,\n",
|
|
" verbose=2\n",
|
|
")\n",
|
|
"\n",
|
|
"###########################################################\n",
|
|
"# 8) FIT ON TUNING PORTION\n",
|
|
"###########################################################\n",
|
|
"random_search.fit(X_tune, y_tune_shifted)\n",
|
|
"\n",
|
|
"print(\"Best params:\", random_search.best_params_)\n",
|
|
"print(\"Best score (accuracy):\", random_search.best_score_)\n",
|
|
"\n",
|
|
"best_estimator = random_search.best_estimator_\n",
|
|
"\n",
|
|
"###########################################################\n",
|
|
"# 9) SAVE THE BEST ESTIMATOR\n",
|
|
"###########################################################\n",
|
|
"joblib.dump(best_estimator, \"models/saved_models/best_rf_rd_pipeline.pkl\")\n",
|
|
"print(\"Saved best estimator to 'best_rf_rd_pipeline.pkl'\")\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Part 3: Backtesting & Performance Evaluation\n",
|
|
"\n",
|
|
"**Objective:** \n",
|
|
"Evaluate how well the trained model performs on unseen data, simulating real trades.\n",
|
|
"\n",
|
|
"**Tasks:**\n",
|
|
"- Use walk-forward or expanding splits to mimic “live” conditions \n",
|
|
"- Convert model predictions to signals ([-1, 0, +1] or buy/sell/hold) \n",
|
|
"- Run a simple backtest script or VectorBT for performance metrics \n",
|
|
"- Calculate returns, Sharpe ratio, drawdowns, confusion matrix, etc. \n",
|
|
"- Visualize results (equity curve, trades, etc.) to judge strategy viability "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Loaded best classification model from 'best_rf_rd_pipeline.pkl'\n",
|
|
"\n",
|
|
"Out-of-Sample Accuracy: 0.9821\n",
|
|
"\n",
|
|
"Running Full Backtest on the Last 2000 Bars...\n",
|
|
"\n",
|
|
"Full Backtest Results:\n",
|
|
"Accuracy=0.98, Return=-0.17%, Sharpe=-0.39\n",
|
|
"Start 2024-04-11 16:00:00\n",
|
|
"End 2025-03-02 16:00:00\n",
|
|
"Period 325 days 04:00:00\n",
|
|
"Start Value 10000.0\n",
|
|
"End Value 8340.15852\n",
|
|
"Total Return [%] -16.598415\n",
|
|
"Benchmark Return [%] 21.623307\n",
|
|
"Max Gross Exposure [%] 100.0\n",
|
|
"Total Fees Paid 94.120141\n",
|
|
"Max Drawdown [%] 29.083683\n",
|
|
"Max Drawdown Duration 213 days 12:00:00\n",
|
|
"Total Trades 25\n",
|
|
"Total Closed Trades 25\n",
|
|
"Total Open Trades 0\n",
|
|
"Open Trade PnL 0.0\n",
|
|
"Win Rate [%] 40.0\n",
|
|
"Best Trade [%] 22.932124\n",
|
|
"Worst Trade [%] -9.560755\n",
|
|
"Avg Winning Trade [%] 5.949059\n",
|
|
"Avg Losing Trade [%] -4.782133\n",
|
|
"Avg Winning Trade Duration 11 days 14:23:59.999999999\n",
|
|
"Avg Losing Trade Duration 3 days 21:20:00\n",
|
|
"Profit Factor 0.760015\n",
|
|
"Expectancy -66.393659\n",
|
|
"Sharpe Ratio -0.389969\n",
|
|
"Calmar Ratio -0.633769\n",
|
|
"Omega Ratio 0.966828\n",
|
|
"Sortino Ratio -0.54345\n",
|
|
"dtype: object\n"
|
|
]
|
|
},
|
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{
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"data": {
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"application/vnd.plotly.v1+json": {
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"config": {
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"plotlyServerURL": "https://plot.ly"
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"data": [
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{
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"legendgroup": "0",
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"line": {
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"color": "#1f77b4"
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},
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"name": "Close",
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"showlegend": true,
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"type": "scatter",
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"uid": "b5591b5a-a6eb-45f6-8bc2-44142ce410f7",
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"2024-04-12T04:00:00",
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"2024-04-20T12:00:00",
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"2024-04-21T12:00:00",
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"2024-04-21T20:00:00",
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"2024-04-27T04:00:00",
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"2024-05-13T12:00:00",
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"2024-05-13T16:00:00",
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"2024-05-14T04:00:00",
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"2024-05-14T08:00:00",
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"2024-05-14T12:00:00",
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"2024-05-14T16:00:00",
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"2024-05-15T00:00:00",
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"2024-05-15T04:00:00",
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"2024-05-15T08:00:00",
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"2024-05-15T12:00:00",
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"2024-05-15T16:00:00",
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"2024-05-16T00:00:00",
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"2024-05-16T04:00:00",
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"2024-05-16T08:00:00",
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"2024-05-16T12:00:00",
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"2024-05-16T16:00:00",
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"2024-05-16T20:00:00",
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"2024-05-17T00:00:00",
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"2024-05-17T04:00:00",
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"2024-05-17T08:00:00",
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"2024-05-17T12:00:00",
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"2024-05-17T16:00:00",
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"2024-05-17T20:00:00",
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"2024-05-18T00:00:00",
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"2024-05-18T04:00:00",
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"2024-05-18T08:00:00",
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"2024-05-18T12:00:00",
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"2024-05-19T08:00:00",
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"2024-05-19T12:00:00",
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"2024-05-19T16:00:00",
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"2024-06-29T16:00:00",
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"2024-07-01T16:00:00",
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"2024-07-02T16:00:00",
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"2024-07-03T00:00:00",
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"2024-07-03T04:00:00",
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"2024-07-03T08:00:00",
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"2024-07-03T12:00:00",
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"2024-07-03T16:00:00",
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"2024-07-03T20:00:00",
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"2024-07-04T00:00:00",
|
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"2024-07-04T04:00:00",
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"2024-07-04T08:00:00",
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"2024-07-04T12:00:00",
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"2024-07-04T16:00:00",
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"2024-07-05T00:00:00",
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"2024-07-05T16:00:00",
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"2024-07-06T16:00:00",
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"2024-07-07T00:00:00",
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"2024-07-07T04:00:00",
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"2024-07-07T12:00:00",
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"2024-07-07T16:00:00",
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"2024-07-08T16:00:00",
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|
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"2024-07-09T08:00:00",
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"2024-07-09T16:00:00",
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|
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"2024-07-10T04:00:00",
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"2024-07-10T12:00:00",
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"2024-07-10T16:00:00",
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"2024-07-11T00:00:00",
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"2024-07-11T04:00:00",
|
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"2024-07-11T08:00:00",
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"2024-07-11T12:00:00",
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"2024-07-11T16:00:00",
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"2024-07-11T20:00:00",
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"2024-07-12T00:00:00",
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"2024-07-12T04:00:00",
|
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"2024-07-12T08:00:00",
|
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"2024-07-12T12:00:00",
|
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"2024-07-12T16:00:00",
|
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"2024-07-12T20:00:00",
|
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"2024-07-13T00:00:00",
|
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"2024-07-13T04:00:00",
|
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"2024-07-13T08:00:00",
|
|
"2024-07-13T12:00:00",
|
|
"2024-07-13T16:00:00",
|
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"2024-07-13T20:00:00",
|
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"2024-07-14T00:00:00",
|
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"2024-07-14T04:00:00",
|
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"2024-07-14T08:00:00",
|
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"2024-07-14T12:00:00",
|
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"2024-07-14T16:00:00",
|
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"2024-07-14T20:00:00",
|
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"2024-07-15T00:00:00",
|
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"2024-07-15T04:00:00",
|
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"2024-07-15T08:00:00",
|
|
"2024-07-15T12:00:00",
|
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"2024-07-15T16:00:00",
|
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"2024-07-15T20:00:00",
|
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"2024-07-16T00:00:00",
|
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"2024-07-16T04:00:00",
|
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"2024-07-16T08:00:00",
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"2024-07-16T12:00:00",
|
|
"2024-07-16T16:00:00",
|
|
"2024-07-16T20:00:00",
|
|
"2024-07-17T00:00:00",
|
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"2024-07-17T04:00:00",
|
|
"2024-07-17T08:00:00",
|
|
"2024-07-17T12:00:00",
|
|
"2024-07-17T16:00:00",
|
|
"2024-07-17T20:00:00",
|
|
"2024-07-18T00:00:00",
|
|
"2024-07-18T04:00:00",
|
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"2024-07-18T08:00:00",
|
|
"2024-07-18T12:00:00",
|
|
"2024-07-18T16:00:00",
|
|
"2024-07-18T20:00:00",
|
|
"2024-07-19T00:00:00",
|
|
"2024-07-19T04:00:00",
|
|
"2024-07-19T08:00:00",
|
|
"2024-07-19T12:00:00",
|
|
"2024-07-19T16:00:00",
|
|
"2024-07-19T20:00:00",
|
|
"2024-07-20T00:00:00",
|
|
"2024-07-20T04:00:00",
|
|
"2024-07-20T08:00:00",
|
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"2024-07-20T12:00:00",
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"2024-09-02T16:00:00",
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"2024-09-05T00:00:00",
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"2024-09-15T00:00:00",
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"2024-09-18T16:00:00",
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"2024-09-19T00:00:00",
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"2024-09-19T04:00:00",
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"2024-09-20T00:00:00",
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"2024-09-20T04:00:00",
|
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"2024-09-20T08:00:00",
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"2024-09-20T12:00:00",
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"2024-06-12T00:00:00",
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"2024-06-19T20:00:00",
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"2024-06-25T16:00:00",
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"2024-06-25T20:00:00",
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"2024-06-26T16:00:00",
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"2024-06-26T20:00:00",
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"2024-06-27T08:00:00",
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"2024-06-27T16:00:00",
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"2024-06-28T04:00:00",
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"2024-06-28T16:00:00",
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"2024-06-29T00:00:00",
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"2024-06-29T16:00:00",
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|
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"2024-07-11T00:00:00",
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"2024-07-11T04:00:00",
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"2024-07-11T08:00:00",
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"2024-07-11T12:00:00",
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"2024-07-11T16:00:00",
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"2024-07-11T20:00:00",
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"2024-07-12T00:00:00",
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"2024-07-12T04:00:00",
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"2024-07-12T08:00:00",
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"2024-07-12T12:00:00",
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"2024-07-12T16:00:00",
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"2024-07-12T20:00:00",
|
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"2024-07-13T00:00:00",
|
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"2024-07-13T04:00:00",
|
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"2024-07-13T08:00:00",
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"2024-07-13T12:00:00",
|
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"2024-07-13T16:00:00",
|
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"2024-07-13T20:00:00",
|
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"2024-07-14T00:00:00",
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"2024-07-14T04:00:00",
|
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"2024-07-14T08:00:00",
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"2024-07-14T12:00:00",
|
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"2024-07-14T16:00:00",
|
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"2024-07-14T20:00:00",
|
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"2024-07-15T00:00:00",
|
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"2024-07-15T04:00:00",
|
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"2024-07-15T08:00:00",
|
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"2024-07-15T12:00:00",
|
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"2024-07-15T16:00:00",
|
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"2024-07-15T20:00:00",
|
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"2024-07-16T00:00:00",
|
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"2024-07-16T04:00:00",
|
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"2024-07-16T08:00:00",
|
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"2024-07-16T12:00:00",
|
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"2024-07-16T16:00:00",
|
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"2024-07-16T20:00:00",
|
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"2024-07-17T00:00:00",
|
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"2024-07-17T04:00:00",
|
|
"2024-07-17T08:00:00",
|
|
"2024-07-17T12:00:00",
|
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"2024-07-17T16:00:00",
|
|
"2024-07-17T20:00:00",
|
|
"2024-07-18T00:00:00",
|
|
"2024-07-18T04:00:00",
|
|
"2024-07-18T08:00:00",
|
|
"2024-07-18T12:00:00",
|
|
"2024-07-18T16:00:00",
|
|
"2024-07-18T20:00:00",
|
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"2024-07-19T00:00:00",
|
|
"2024-07-19T04:00:00",
|
|
"2024-07-19T08:00:00",
|
|
"2024-07-19T12:00:00",
|
|
"2024-07-19T16:00:00",
|
|
"2024-07-19T20:00:00",
|
|
"2024-07-20T00:00:00",
|
|
"2024-07-20T04:00:00",
|
|
"2024-07-20T08:00:00",
|
|
"2024-07-20T12:00:00",
|
|
"2024-07-20T16:00:00",
|
|
"2024-07-20T20:00:00",
|
|
"2024-07-21T00:00:00",
|
|
"2024-07-21T04:00:00",
|
|
"2024-07-21T08:00:00",
|
|
"2024-07-21T12:00:00",
|
|
"2024-07-21T16:00:00",
|
|
"2024-07-21T20:00:00",
|
|
"2024-07-22T00:00:00",
|
|
"2024-07-22T04:00:00",
|
|
"2024-07-22T08:00:00",
|
|
"2024-07-22T12:00:00",
|
|
"2024-07-22T16:00:00",
|
|
"2024-07-22T20:00:00",
|
|
"2024-07-23T00:00:00",
|
|
"2024-07-23T04:00:00",
|
|
"2024-07-23T08:00:00",
|
|
"2024-07-23T12:00:00",
|
|
"2024-07-23T16:00:00",
|
|
"2024-07-23T20:00:00",
|
|
"2024-07-24T00:00:00",
|
|
"2024-07-24T04:00:00",
|
|
"2024-07-24T08:00:00",
|
|
"2024-07-24T12:00:00",
|
|
"2024-07-24T16:00:00",
|
|
"2024-07-24T20:00:00",
|
|
"2024-07-25T00:00:00",
|
|
"2024-07-25T04:00:00",
|
|
"2024-07-25T08:00:00",
|
|
"2024-07-25T12:00:00",
|
|
"2024-07-25T16:00:00",
|
|
"2024-07-25T20:00:00",
|
|
"2024-07-26T00:00:00",
|
|
"2024-07-26T04:00:00",
|
|
"2024-07-26T08:00:00",
|
|
"2024-07-26T12:00:00",
|
|
"2024-07-26T16:00:00",
|
|
"2024-07-26T20:00:00",
|
|
"2024-07-27T00:00:00",
|
|
"2024-07-27T04:00:00",
|
|
"2024-07-27T08:00:00",
|
|
"2024-07-27T12:00:00",
|
|
"2024-07-27T16:00:00",
|
|
"2024-07-27T20:00:00",
|
|
"2024-07-28T00:00:00",
|
|
"2024-07-28T04:00:00",
|
|
"2024-07-28T08:00:00",
|
|
"2024-07-28T12:00:00",
|
|
"2024-07-28T16:00:00",
|
|
"2024-07-28T20:00:00",
|
|
"2024-07-29T00:00:00",
|
|
"2024-07-29T04:00:00",
|
|
"2024-07-29T08:00:00",
|
|
"2024-07-29T12:00:00",
|
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"2024-07-29T16:00:00",
|
|
"2024-07-29T20:00:00",
|
|
"2024-07-30T00:00:00",
|
|
"2024-07-30T04:00:00",
|
|
"2024-07-30T08:00:00",
|
|
"2024-07-30T12:00:00",
|
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"2024-07-30T16:00:00",
|
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"2024-07-30T20:00:00",
|
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"2024-07-31T00:00:00",
|
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"2024-07-31T04:00:00",
|
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"2024-07-31T08:00:00",
|
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"2024-07-31T12:00:00",
|
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"2024-07-31T16:00:00",
|
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"2024-07-31T20:00:00",
|
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"2024-08-01T00:00:00",
|
|
"2024-08-01T04:00:00",
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"2024-08-01T08:00:00",
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"2024-08-01T12:00:00",
|
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"2024-08-01T16:00:00",
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"2024-08-01T20:00:00",
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"2024-08-02T00:00:00",
|
|
"2024-08-02T04:00:00",
|
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"2024-08-02T08:00:00",
|
|
"2024-08-02T12:00:00",
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"2024-08-02T16:00:00",
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"2024-08-02T20:00:00",
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"2024-08-03T00:00:00",
|
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"2024-08-03T04:00:00",
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"2024-08-03T08:00:00",
|
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"2024-08-03T12:00:00",
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"2024-08-03T16:00:00",
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"2024-08-03T20:00:00",
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"2024-08-04T00:00:00",
|
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"2024-08-04T04:00:00",
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"2024-08-04T08:00:00",
|
|
"2024-08-04T12:00:00",
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"2024-08-04T16:00:00",
|
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"2024-08-04T20:00:00",
|
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"2024-08-05T00:00:00",
|
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"2024-08-05T04:00:00",
|
|
"2024-08-05T08:00:00",
|
|
"2024-08-05T12:00:00",
|
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"2024-08-05T16:00:00",
|
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"2024-08-05T20:00:00",
|
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"2024-08-06T00:00:00",
|
|
"2024-08-06T04:00:00",
|
|
"2024-08-06T08:00:00",
|
|
"2024-08-06T12:00:00",
|
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"2024-08-06T16:00:00",
|
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"2024-08-06T20:00:00",
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|
"2024-08-07T00:00:00",
|
|
"2024-08-07T04:00:00",
|
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"2024-08-07T08:00:00",
|
|
"2024-08-07T12:00:00",
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"2024-08-07T16:00:00",
|
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"2024-08-07T20:00:00",
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"2024-08-08T00:00:00",
|
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"2024-08-08T04:00:00",
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"2024-08-08T08:00:00",
|
|
"2024-08-08T12:00:00",
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"2024-08-08T16:00:00",
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"2024-08-08T20:00:00",
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"2024-08-09T00:00:00",
|
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"2024-08-09T04:00:00",
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"2024-08-09T08:00:00",
|
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"2024-08-09T12:00:00",
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"2024-08-09T16:00:00",
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"2024-08-09T20:00:00",
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"2024-08-10T00:00:00",
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"2024-08-10T04:00:00",
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"2024-08-10T08:00:00",
|
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"2024-08-10T12:00:00",
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"2024-08-10T16:00:00",
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"2024-08-10T20:00:00",
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"2025-02-12T16:00:00",
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"2025-02-12T20:00:00",
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"2024-06-19T16:00:00",
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"2024-06-19T20:00:00",
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"2024-06-20T00:00:00",
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"2024-06-20T04:00:00",
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"2024-06-20T12:00:00",
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"2024-06-20T16:00:00",
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"2024-06-21T04:00:00",
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"2024-06-21T16:00:00",
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"2024-06-21T20:00:00",
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"2024-06-22T00:00:00",
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"2024-06-22T04:00:00",
|
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"2024-06-22T08:00:00",
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"2024-06-22T12:00:00",
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"2024-06-22T16:00:00",
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"2024-06-23T00:00:00",
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"2024-06-24T00:00:00",
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"2024-06-24T16:00:00",
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"2024-06-25T04:00:00",
|
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"2024-06-25T16:00:00",
|
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"2024-06-25T20:00:00",
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"2024-06-26T00:00:00",
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"2024-06-26T04:00:00",
|
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"2024-06-26T08:00:00",
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"2024-06-26T12:00:00",
|
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"2024-06-26T16:00:00",
|
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"2024-06-26T20:00:00",
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"2024-06-27T00:00:00",
|
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"2024-06-27T04:00:00",
|
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"2024-06-27T08:00:00",
|
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"2024-06-27T12:00:00",
|
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"2024-06-27T16:00:00",
|
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"2024-06-27T20:00:00",
|
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"2024-06-28T00:00:00",
|
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"2024-06-28T04:00:00",
|
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"2024-06-28T08:00:00",
|
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"2024-06-28T12:00:00",
|
|
"2024-06-28T16:00:00",
|
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"2024-06-28T20:00:00",
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"2024-06-29T00:00:00",
|
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"2024-06-29T04:00:00",
|
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"2024-06-29T08:00:00",
|
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"2024-06-29T12:00:00",
|
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"2024-06-29T16:00:00",
|
|
"2024-06-29T20:00:00",
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"2024-06-30T00:00:00",
|
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"2024-06-30T04:00:00",
|
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|
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|
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"2024-06-30T16:00:00",
|
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|
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"2024-07-01T00:00:00",
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"2024-07-01T04:00:00",
|
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"2024-07-01T08:00:00",
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"2024-07-01T12:00:00",
|
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"2024-07-01T16:00:00",
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"2024-07-01T20:00:00",
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"2024-07-02T00:00:00",
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"2024-07-02T04:00:00",
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"2024-07-02T08:00:00",
|
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"2024-07-02T12:00:00",
|
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"2024-07-02T16:00:00",
|
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|
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"2024-07-03T00:00:00",
|
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"2024-07-03T04:00:00",
|
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"2024-07-03T08:00:00",
|
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"2024-07-03T12:00:00",
|
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"2024-07-03T16:00:00",
|
|
"2024-07-03T20:00:00",
|
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"2024-07-04T00:00:00",
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"2024-07-04T04:00:00",
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"2024-07-04T08:00:00",
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"2024-07-04T12:00:00",
|
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"2024-07-04T16:00:00",
|
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"2024-07-04T20:00:00",
|
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"2024-07-05T04:00:00",
|
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"2024-07-05T08:00:00",
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"2024-07-05T12:00:00",
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"2024-07-05T16:00:00",
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"2024-07-05T20:00:00",
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"2024-07-06T00:00:00",
|
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"2024-07-06T04:00:00",
|
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"2024-07-06T16:00:00",
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|
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"2024-07-07T00:00:00",
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"2024-07-07T04:00:00",
|
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"2024-07-07T08:00:00",
|
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"2024-07-07T12:00:00",
|
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"2024-07-07T16:00:00",
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"2024-07-08T00:00:00",
|
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"2024-07-08T04:00:00",
|
|
"2024-07-08T08:00:00",
|
|
"2024-07-08T12:00:00",
|
|
"2024-07-08T16:00:00",
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"2024-08-13T16:00:00",
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"2024-08-14T08:00:00",
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"2024-08-14T12:00:00",
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"2024-08-14T16:00:00",
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"2024-08-14T20:00:00",
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"2024-08-15T04:00:00",
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"2024-08-15T08:00:00",
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"2024-08-15T12:00:00",
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"2024-08-15T16:00:00",
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"2024-08-15T20:00:00",
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"2024-08-16T04:00:00",
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"2024-08-16T12:00:00",
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"2024-08-16T16:00:00",
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"2024-08-16T20:00:00",
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"2024-08-17T00:00:00",
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"2024-08-17T04:00:00",
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"2024-08-17T08:00:00",
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"2024-08-17T12:00:00",
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"2024-08-17T16:00:00",
|
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"2024-08-17T20:00:00",
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"2024-08-18T04:00:00",
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"2024-08-18T08:00:00",
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"2024-08-18T12:00:00",
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"2024-08-18T16:00:00",
|
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"2024-08-18T20:00:00",
|
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"2024-08-19T00:00:00",
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"2024-08-19T04:00:00",
|
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"2024-08-19T08:00:00",
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"2024-08-19T12:00:00",
|
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"2024-08-19T16:00:00",
|
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"2024-08-19T20:00:00",
|
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"2024-08-20T00:00:00",
|
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"2024-08-20T04:00:00",
|
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"2024-08-20T08:00:00",
|
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"2024-08-20T12:00:00",
|
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"2024-08-20T16:00:00",
|
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"2024-08-20T20:00:00",
|
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"2024-08-21T00:00:00",
|
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"2024-08-21T04:00:00",
|
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"2024-08-21T08:00:00",
|
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"2024-08-21T12:00:00",
|
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"2024-08-21T16:00:00",
|
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"2024-08-21T20:00:00",
|
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"2024-08-22T00:00:00",
|
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"2024-08-22T04:00:00",
|
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"2024-08-22T08:00:00",
|
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"2024-08-22T12:00:00",
|
|
"2024-08-22T16:00:00",
|
|
"2024-08-22T20:00:00",
|
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"2024-08-23T00:00:00",
|
|
"2024-08-23T04:00:00",
|
|
"2024-08-23T08:00:00",
|
|
"2024-08-23T12:00:00",
|
|
"2024-08-23T16:00:00",
|
|
"2024-08-23T20:00:00",
|
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"2024-08-24T00:00:00",
|
|
"2024-08-24T04:00:00",
|
|
"2024-08-24T08:00:00",
|
|
"2024-08-24T12:00:00",
|
|
"2024-08-24T16:00:00",
|
|
"2024-08-24T20:00:00",
|
|
"2024-08-25T00:00:00",
|
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"2024-08-25T04:00:00",
|
|
"2024-08-25T08:00:00",
|
|
"2024-08-25T12:00:00",
|
|
"2024-08-25T16:00:00",
|
|
"2024-08-25T20:00:00",
|
|
"2024-08-26T00:00:00",
|
|
"2024-08-26T04:00:00",
|
|
"2024-08-26T08:00:00",
|
|
"2024-08-26T12:00:00",
|
|
"2024-08-26T16:00:00",
|
|
"2024-08-26T20:00:00",
|
|
"2024-08-27T00:00:00",
|
|
"2024-08-27T04:00:00",
|
|
"2024-08-27T08:00:00",
|
|
"2024-08-27T12:00:00",
|
|
"2024-08-27T16:00:00",
|
|
"2024-08-27T20:00:00",
|
|
"2024-08-28T00:00:00",
|
|
"2024-08-28T04:00:00",
|
|
"2024-08-28T08:00:00",
|
|
"2024-08-28T12:00:00",
|
|
"2024-08-28T16:00:00",
|
|
"2024-08-28T20:00:00",
|
|
"2024-08-29T00:00:00",
|
|
"2024-08-29T04:00:00",
|
|
"2024-08-29T08:00:00",
|
|
"2024-08-29T12:00:00",
|
|
"2024-08-29T16:00:00",
|
|
"2024-08-29T20:00:00",
|
|
"2024-08-30T00:00:00",
|
|
"2024-08-30T04:00:00",
|
|
"2024-08-30T08:00:00",
|
|
"2024-08-30T12:00:00",
|
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"2024-08-30T16:00:00",
|
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"2024-08-30T20:00:00",
|
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"2024-08-31T00:00:00",
|
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"2024-08-31T04:00:00",
|
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"2024-08-31T08:00:00",
|
|
"2024-08-31T12:00:00",
|
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"2024-08-31T16:00:00",
|
|
"2024-08-31T20:00:00",
|
|
"2024-09-01T00:00:00",
|
|
"2024-09-01T04:00:00",
|
|
"2024-09-01T08:00:00",
|
|
"2024-09-01T12:00:00",
|
|
"2024-09-01T16:00:00",
|
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"2024-09-01T20:00:00",
|
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"2024-09-02T00:00:00",
|
|
"2024-09-02T04:00:00",
|
|
"2024-09-02T08:00:00",
|
|
"2024-09-02T12:00:00",
|
|
"2024-09-02T16:00:00",
|
|
"2024-09-02T20:00:00",
|
|
"2024-09-03T00:00:00",
|
|
"2024-09-03T04:00:00",
|
|
"2024-09-03T08:00:00",
|
|
"2024-09-03T12:00:00",
|
|
"2024-09-03T16:00:00",
|
|
"2024-09-03T20:00:00",
|
|
"2024-09-04T00:00:00",
|
|
"2024-09-04T04:00:00",
|
|
"2024-09-04T08:00:00",
|
|
"2024-09-04T12:00:00",
|
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"2024-09-04T16:00:00",
|
|
"2024-09-04T20:00:00",
|
|
"2024-09-05T00:00:00",
|
|
"2024-09-05T04:00:00",
|
|
"2024-09-05T08:00:00",
|
|
"2024-09-05T12:00:00",
|
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"2024-09-05T16:00:00",
|
|
"2024-09-05T20:00:00",
|
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"2024-09-06T00:00:00",
|
|
"2024-09-06T04:00:00",
|
|
"2024-09-06T08:00:00",
|
|
"2024-09-06T12:00:00",
|
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"2024-09-06T16:00:00",
|
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"2024-09-06T20:00:00",
|
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"2024-09-07T00:00:00",
|
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"2024-09-07T04:00:00",
|
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"2024-09-07T08:00:00",
|
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"2024-09-07T12:00:00",
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"2024-09-07T16:00:00",
|
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"2024-09-07T20:00:00",
|
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"2024-09-08T00:00:00",
|
|
"2024-09-08T04:00:00",
|
|
"2024-09-08T08:00:00",
|
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"2024-09-08T12:00:00",
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"2024-09-08T16:00:00",
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"2024-07-02T16:00:00",
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"2024-07-03T00:00:00",
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"2024-07-09T04:00:00",
|
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|
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"2024-07-09T16:00:00",
|
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"2024-07-10T00:00:00",
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|
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"2024-07-10T08:00:00",
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"2024-07-10T12:00:00",
|
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"2024-07-10T16:00:00",
|
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"2024-07-10T20:00:00",
|
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"2024-07-11T00:00:00",
|
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"2024-07-11T04:00:00",
|
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"2024-07-11T08:00:00",
|
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"2024-07-11T12:00:00",
|
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"2024-07-11T16:00:00",
|
|
"2024-07-11T20:00:00",
|
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"2024-07-12T00:00:00",
|
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"2024-07-12T04:00:00",
|
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"2024-07-12T08:00:00",
|
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"2024-07-12T12:00:00",
|
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"2024-07-12T16:00:00",
|
|
"2024-07-12T20:00:00",
|
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"2024-07-13T00:00:00",
|
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"2024-07-13T04:00:00",
|
|
"2024-07-13T08:00:00",
|
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"2024-07-13T12:00:00",
|
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"2024-07-13T16:00:00",
|
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"2024-07-13T20:00:00",
|
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"2024-07-14T00:00:00",
|
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"2024-07-14T04:00:00",
|
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"2024-07-14T08:00:00",
|
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"2024-07-14T12:00:00",
|
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"2024-07-14T16:00:00",
|
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"2024-07-14T20:00:00",
|
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"2024-07-15T00:00:00",
|
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"2024-07-15T04:00:00",
|
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"2024-07-15T08:00:00",
|
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"2024-07-15T12:00:00",
|
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"2024-07-15T16:00:00",
|
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"2024-07-15T20:00:00",
|
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"2024-07-16T00:00:00",
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"2024-07-16T04:00:00",
|
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"2024-07-16T08:00:00",
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"2024-07-16T12:00:00",
|
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"2024-07-16T16:00:00",
|
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"2024-07-16T20:00:00",
|
|
"2024-07-17T00:00:00",
|
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"2024-07-17T04:00:00",
|
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"2024-07-17T08:00:00",
|
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"2024-07-17T12:00:00",
|
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"2024-07-17T16:00:00",
|
|
"2024-07-17T20:00:00",
|
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"2024-07-18T00:00:00",
|
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"2024-07-18T04:00:00",
|
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"2024-07-18T08:00:00",
|
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"2024-07-18T12:00:00",
|
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"2024-07-18T16:00:00",
|
|
"2024-07-18T20:00:00",
|
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"2024-07-19T00:00:00",
|
|
"2024-07-19T04:00:00",
|
|
"2024-07-19T08:00:00",
|
|
"2024-07-19T12:00:00",
|
|
"2024-07-19T16:00:00",
|
|
"2024-07-19T20:00:00",
|
|
"2024-07-20T00:00:00",
|
|
"2024-07-20T04:00:00",
|
|
"2024-07-20T08:00:00",
|
|
"2024-07-20T12:00:00",
|
|
"2024-07-20T16:00:00",
|
|
"2024-07-20T20:00:00",
|
|
"2024-07-21T00:00:00",
|
|
"2024-07-21T04:00:00",
|
|
"2024-07-21T08:00:00",
|
|
"2024-07-21T12:00:00",
|
|
"2024-07-21T16:00:00",
|
|
"2024-07-21T20:00:00",
|
|
"2024-07-22T00:00:00",
|
|
"2024-07-22T04:00:00",
|
|
"2024-07-22T08:00:00",
|
|
"2024-07-22T12:00:00",
|
|
"2024-07-22T16:00:00",
|
|
"2024-07-22T20:00:00",
|
|
"2024-07-23T00:00:00",
|
|
"2024-07-23T04:00:00",
|
|
"2024-07-23T08:00:00",
|
|
"2024-07-23T12:00:00",
|
|
"2024-07-23T16:00:00",
|
|
"2024-07-23T20:00:00",
|
|
"2024-07-24T00:00:00",
|
|
"2024-07-24T04:00:00",
|
|
"2024-07-24T08:00:00",
|
|
"2024-07-24T12:00:00",
|
|
"2024-07-24T16:00:00",
|
|
"2024-07-24T20:00:00",
|
|
"2024-07-25T00:00:00",
|
|
"2024-07-25T04:00:00",
|
|
"2024-07-25T08:00:00",
|
|
"2024-07-25T12:00:00",
|
|
"2024-07-25T16:00:00",
|
|
"2024-07-25T20:00:00",
|
|
"2024-07-26T00:00:00",
|
|
"2024-07-26T04:00:00",
|
|
"2024-07-26T08:00:00",
|
|
"2024-07-26T12:00:00",
|
|
"2024-07-26T16:00:00",
|
|
"2024-07-26T20:00:00",
|
|
"2024-07-27T00:00:00",
|
|
"2024-07-27T04:00:00",
|
|
"2024-07-27T08:00:00",
|
|
"2024-07-27T12:00:00",
|
|
"2024-07-27T16:00:00",
|
|
"2024-07-27T20:00:00",
|
|
"2024-07-28T00:00:00",
|
|
"2024-07-28T04:00:00",
|
|
"2024-07-28T08:00:00",
|
|
"2024-07-28T12:00:00",
|
|
"2024-07-28T16:00:00",
|
|
"2024-07-28T20:00:00",
|
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"2024-07-29T00:00:00",
|
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"2024-07-29T04:00:00",
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"2024-09-29T00:00:00",
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"2024-09-29T04:00:00",
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"2024-07-08T16:00:00",
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"2024-07-09T16:00:00",
|
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"2024-07-10T00:00:00",
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"2024-07-10T12:00:00",
|
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"2024-07-10T16:00:00",
|
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"2024-07-10T20:00:00",
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"2024-07-11T00:00:00",
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"2024-07-11T04:00:00",
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"2024-07-11T08:00:00",
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"2024-07-11T12:00:00",
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"2024-07-11T16:00:00",
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"2024-07-11T20:00:00",
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"2024-07-12T00:00:00",
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"2024-07-12T04:00:00",
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"2024-07-12T08:00:00",
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"2024-07-12T16:00:00",
|
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"2024-07-13T00:00:00",
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"2024-07-13T04:00:00",
|
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"2024-07-13T08:00:00",
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"2024-07-13T12:00:00",
|
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"2024-07-13T16:00:00",
|
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"2024-07-13T20:00:00",
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"2024-07-14T00:00:00",
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"2024-07-14T04:00:00",
|
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"2024-07-14T08:00:00",
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"2024-07-14T12:00:00",
|
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"2024-07-14T16:00:00",
|
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"2024-07-14T20:00:00",
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"2024-07-15T00:00:00",
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"2024-07-15T04:00:00",
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"2024-07-15T08:00:00",
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"2024-07-15T16:00:00",
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"2024-07-15T20:00:00",
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"2024-07-16T00:00:00",
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"2024-07-16T04:00:00",
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"2024-07-16T12:00:00",
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"2024-07-16T16:00:00",
|
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"2024-07-16T20:00:00",
|
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"2024-07-17T00:00:00",
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"2024-07-17T04:00:00",
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"2024-07-17T08:00:00",
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"2024-07-17T12:00:00",
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"2024-07-17T16:00:00",
|
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"2024-07-17T20:00:00",
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"2024-07-18T00:00:00",
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"2024-07-18T04:00:00",
|
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"2024-07-18T08:00:00",
|
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"2024-07-18T12:00:00",
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"2024-07-18T16:00:00",
|
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"2024-07-18T20:00:00",
|
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"2024-07-19T00:00:00",
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"2024-07-19T04:00:00",
|
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"2024-07-19T08:00:00",
|
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"2024-07-19T12:00:00",
|
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"2024-07-19T16:00:00",
|
|
"2024-07-19T20:00:00",
|
|
"2024-07-20T00:00:00",
|
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"2024-07-20T04:00:00",
|
|
"2024-07-20T08:00:00",
|
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"2024-07-20T12:00:00",
|
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"2024-07-20T16:00:00",
|
|
"2024-07-20T20:00:00",
|
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"2024-07-21T00:00:00",
|
|
"2024-07-21T04:00:00",
|
|
"2024-07-21T08:00:00",
|
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"2024-07-21T12:00:00",
|
|
"2024-07-21T16:00:00",
|
|
"2024-07-21T20:00:00",
|
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"2024-07-22T00:00:00",
|
|
"2024-07-22T04:00:00",
|
|
"2024-07-22T08:00:00",
|
|
"2024-07-22T12:00:00",
|
|
"2024-07-22T16:00:00",
|
|
"2024-07-22T20:00:00",
|
|
"2024-07-23T00:00:00",
|
|
"2024-07-23T04:00:00",
|
|
"2024-07-23T08:00:00",
|
|
"2024-07-23T12:00:00",
|
|
"2024-07-23T16:00:00",
|
|
"2024-07-23T20:00:00",
|
|
"2024-07-24T00:00:00",
|
|
"2024-07-24T04:00:00",
|
|
"2024-07-24T08:00:00",
|
|
"2024-07-24T12:00:00",
|
|
"2024-07-24T16:00:00",
|
|
"2024-07-24T20:00:00",
|
|
"2024-07-25T00:00:00",
|
|
"2024-07-25T04:00:00",
|
|
"2024-07-25T08:00:00",
|
|
"2024-07-25T12:00:00",
|
|
"2024-07-25T16:00:00",
|
|
"2024-07-25T20:00:00",
|
|
"2024-07-26T00:00:00",
|
|
"2024-07-26T04:00:00",
|
|
"2024-07-26T08:00:00",
|
|
"2024-07-26T12:00:00",
|
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"2024-07-26T16:00:00",
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"2024-09-26T12:00:00",
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"2024-09-26T16:00:00",
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"2024-05-25T16:00:00",
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"2024-05-25T20:00:00",
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"2024-05-26T00:00:00",
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"2024-05-26T04:00:00",
|
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"2024-05-26T08:00:00",
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|
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"2024-05-26T16:00:00",
|
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"2024-05-26T20:00:00",
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"2024-05-27T00:00:00",
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"2024-05-27T04:00:00",
|
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"2024-05-27T08:00:00",
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"2024-05-27T12:00:00",
|
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"2024-05-27T16:00:00",
|
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"2024-05-27T20:00:00",
|
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"2024-05-28T00:00:00",
|
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"2024-05-28T04:00:00",
|
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"2024-05-28T08:00:00",
|
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"2024-05-28T12:00:00",
|
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"2024-05-28T16:00:00",
|
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"2024-05-28T20:00:00",
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"2024-05-29T00:00:00",
|
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"2024-05-29T04:00:00",
|
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"2024-05-29T08:00:00",
|
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"2024-05-29T12:00:00",
|
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"2024-05-29T16:00:00",
|
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"2024-05-29T20:00:00",
|
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"2024-05-30T00:00:00",
|
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"2024-05-30T04:00:00",
|
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"2024-05-30T08:00:00",
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"2024-05-30T12:00:00",
|
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"2024-05-30T16:00:00",
|
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"2024-05-30T20:00:00",
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"2024-05-31T04:00:00",
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"2024-05-31T08:00:00",
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"2024-05-31T16:00:00",
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"2024-06-01T00:00:00",
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|
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"2024-06-01T08:00:00",
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"2024-06-02T16:00:00",
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"2024-06-03T00:00:00",
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|
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"2024-06-07T04:00:00",
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"2024-06-07T08:00:00",
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"2024-06-08T00:00:00",
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|
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"2024-06-08T08:00:00",
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"2024-06-08T16:00:00",
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|
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"2024-06-09T00:00:00",
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|
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"2024-06-09T08:00:00",
|
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"2024-06-09T12:00:00",
|
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"2024-06-09T16:00:00",
|
|
"2024-06-09T20:00:00",
|
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"2024-06-10T00:00:00",
|
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"2024-06-10T04:00:00",
|
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"2024-06-10T08:00:00",
|
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|
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"2024-06-10T16:00:00",
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|
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"2024-06-11T00:00:00",
|
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"2024-06-11T04:00:00",
|
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"2024-06-11T08:00:00",
|
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"2024-06-11T12:00:00",
|
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"2024-06-11T16:00:00",
|
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"2024-06-11T20:00:00",
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"2024-06-12T00:00:00",
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"2024-06-12T04:00:00",
|
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"2024-06-12T08:00:00",
|
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"2024-06-12T12:00:00",
|
|
"2024-06-12T16:00:00",
|
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|
|
"2024-06-13T00:00:00",
|
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"2024-06-13T04:00:00",
|
|
"2024-06-13T08:00:00",
|
|
"2024-06-13T12:00:00",
|
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"2024-06-13T16:00:00",
|
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"2024-06-13T20:00:00",
|
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"2024-06-14T00:00:00",
|
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"2024-06-14T04:00:00",
|
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"2024-06-14T08:00:00",
|
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"2024-06-14T12:00:00",
|
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"2024-06-14T16:00:00",
|
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"2024-06-14T20:00:00",
|
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"2024-06-15T00:00:00",
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"2024-06-15T04:00:00",
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"2024-06-17T12:00:00",
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"2024-06-17T16:00:00",
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"2024-06-19T20:00:00",
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"2024-06-22T08:00:00",
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"2024-06-22T16:00:00",
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"2024-06-24T16:00:00",
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"2024-06-24T20:00:00",
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"2024-06-25T00:00:00",
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"2024-06-25T04:00:00",
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"2024-06-25T08:00:00",
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"2024-06-25T12:00:00",
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"2024-06-25T16:00:00",
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"2024-06-25T20:00:00",
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"2024-06-26T00:00:00",
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"2024-06-26T04:00:00",
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"2024-06-26T08:00:00",
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"2024-06-26T12:00:00",
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"2024-06-26T16:00:00",
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"2024-06-26T20:00:00",
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"2024-06-27T00:00:00",
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"2024-06-27T04:00:00",
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"2024-06-27T08:00:00",
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"2024-06-27T16:00:00",
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"2024-06-28T04:00:00",
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"2024-06-28T08:00:00",
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"2024-06-28T12:00:00",
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"2024-06-28T16:00:00",
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"2024-06-28T20:00:00",
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"2024-06-29T00:00:00",
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"2024-06-29T04:00:00",
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"2024-06-29T08:00:00",
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"2024-06-29T16:00:00",
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"2024-06-29T20:00:00",
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"2024-06-30T08:00:00",
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"2024-06-30T16:00:00",
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"2024-07-01T00:00:00",
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"2024-07-01T04:00:00",
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"2024-07-01T08:00:00",
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"2024-07-01T16:00:00",
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"2024-07-01T20:00:00",
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"2024-07-02T16:00:00",
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"2024-07-03T00:00:00",
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"2024-07-03T08:00:00",
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"2024-07-03T16:00:00",
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"2024-07-03T20:00:00",
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"2024-07-04T08:00:00",
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"2024-07-11T04:00:00",
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"2024-07-11T16:00:00",
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"2024-07-11T20:00:00",
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"2024-07-12T00:00:00",
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"2024-07-12T08:00:00",
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"2024-07-12T16:00:00",
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"2024-07-12T20:00:00",
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"2024-07-13T04:00:00",
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"2024-07-13T08:00:00",
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"2024-07-13T12:00:00",
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"2024-07-13T16:00:00",
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"2024-07-13T20:00:00",
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"2024-07-14T00:00:00",
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"2024-07-14T04:00:00",
|
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"2024-07-14T08:00:00",
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"2024-07-14T12:00:00",
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"2024-07-14T16:00:00",
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"2024-07-14T20:00:00",
|
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"2024-07-15T00:00:00",
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"2024-07-15T04:00:00",
|
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"2024-07-15T08:00:00",
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"2024-07-15T12:00:00",
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"2024-07-15T16:00:00",
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"2024-07-15T20:00:00",
|
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"2024-07-16T00:00:00",
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"2024-07-16T04:00:00",
|
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"2024-07-16T08:00:00",
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"2024-07-16T12:00:00",
|
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"2024-07-16T16:00:00",
|
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"2024-07-16T20:00:00",
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"2024-07-17T00:00:00",
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"2024-07-17T04:00:00",
|
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"2024-07-17T08:00:00",
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"2024-07-17T12:00:00",
|
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"2024-07-17T16:00:00",
|
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"2024-07-17T20:00:00",
|
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"2024-07-18T00:00:00",
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"2024-07-18T04:00:00",
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"2024-07-18T08:00:00",
|
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"2024-07-18T12:00:00",
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"2024-07-18T16:00:00",
|
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"2024-07-18T20:00:00",
|
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"2024-07-19T00:00:00",
|
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"2024-07-19T04:00:00",
|
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"2024-07-19T08:00:00",
|
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"2024-07-19T12:00:00",
|
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"2024-07-19T16:00:00",
|
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"2024-07-19T20:00:00",
|
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"2024-07-20T00:00:00",
|
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"2024-07-20T04:00:00",
|
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"2024-07-20T08:00:00",
|
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"2024-07-20T12:00:00",
|
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"2024-07-20T16:00:00",
|
|
"2024-07-20T20:00:00",
|
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"2024-07-21T00:00:00",
|
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"2024-07-21T04:00:00",
|
|
"2024-07-21T08:00:00",
|
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"2024-07-21T12:00:00",
|
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"2024-07-21T16:00:00",
|
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"2024-07-21T20:00:00",
|
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"2024-07-22T00:00:00",
|
|
"2024-07-22T04:00:00",
|
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"2024-07-22T08:00:00",
|
|
"2024-07-22T12:00:00",
|
|
"2024-07-22T16:00:00",
|
|
"2024-07-22T20:00:00",
|
|
"2024-07-23T00:00:00",
|
|
"2024-07-23T04:00:00",
|
|
"2024-07-23T08:00:00",
|
|
"2024-07-23T12:00:00",
|
|
"2024-07-23T16:00:00",
|
|
"2024-07-23T20:00:00",
|
|
"2024-07-24T00:00:00",
|
|
"2024-07-24T04:00:00",
|
|
"2024-07-24T08:00:00",
|
|
"2024-07-24T12:00:00",
|
|
"2024-07-24T16:00:00",
|
|
"2024-07-24T20:00:00",
|
|
"2024-07-25T00:00:00",
|
|
"2024-07-25T04:00:00",
|
|
"2024-07-25T08:00:00",
|
|
"2024-07-25T12:00:00",
|
|
"2024-07-25T16:00:00",
|
|
"2024-07-25T20:00:00",
|
|
"2024-07-26T00:00:00",
|
|
"2024-07-26T04:00:00",
|
|
"2024-07-26T08:00:00",
|
|
"2024-07-26T12:00:00",
|
|
"2024-07-26T16:00:00",
|
|
"2024-07-26T20:00:00",
|
|
"2024-07-27T00:00:00",
|
|
"2024-07-27T04:00:00",
|
|
"2024-07-27T08:00:00",
|
|
"2024-07-27T12:00:00",
|
|
"2024-07-27T16:00:00",
|
|
"2024-07-27T20:00:00",
|
|
"2024-07-28T00:00:00",
|
|
"2024-07-28T04:00:00",
|
|
"2024-07-28T08:00:00",
|
|
"2024-07-28T12:00:00",
|
|
"2024-07-28T16:00:00",
|
|
"2024-07-28T20:00:00",
|
|
"2024-07-29T00:00:00",
|
|
"2024-07-29T04:00:00",
|
|
"2024-07-29T08:00:00",
|
|
"2024-07-29T12:00:00",
|
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"2024-07-29T16:00:00",
|
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"2024-07-29T20:00:00",
|
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"2024-07-30T00:00:00",
|
|
"2024-07-30T04:00:00",
|
|
"2024-07-30T08:00:00",
|
|
"2024-07-30T12:00:00",
|
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"2024-07-30T16:00:00",
|
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"2024-07-30T20:00:00",
|
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"2024-07-31T00:00:00",
|
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"2024-07-31T04:00:00",
|
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"2024-07-31T08:00:00",
|
|
"2024-07-31T12:00:00",
|
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"2024-07-31T16:00:00",
|
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"2024-07-31T20:00:00",
|
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"2024-08-01T00:00:00",
|
|
"2024-08-01T04:00:00",
|
|
"2024-08-01T08:00:00",
|
|
"2024-08-01T12:00:00",
|
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"2024-08-01T16:00:00",
|
|
"2024-08-01T20:00:00",
|
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"2024-08-02T00:00:00",
|
|
"2024-08-02T04:00:00",
|
|
"2024-08-02T08:00:00",
|
|
"2024-08-02T12:00:00",
|
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"2024-08-02T16:00:00",
|
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"2024-08-02T20:00:00",
|
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"2024-08-03T00:00:00",
|
|
"2024-08-03T04:00:00",
|
|
"2024-08-03T08:00:00",
|
|
"2024-08-03T12:00:00",
|
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"2024-08-03T16:00:00",
|
|
"2024-08-03T20:00:00",
|
|
"2024-08-04T00:00:00",
|
|
"2024-08-04T04:00:00",
|
|
"2024-08-04T08:00:00",
|
|
"2024-08-04T12:00:00",
|
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"2024-08-04T16:00:00",
|
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"2024-08-04T20:00:00",
|
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"2024-08-05T00:00:00",
|
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"2024-08-05T04:00:00",
|
|
"2024-08-05T08:00:00",
|
|
"2024-08-05T12:00:00",
|
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"2024-08-05T16:00:00",
|
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"2024-08-05T20:00:00",
|
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"2024-08-06T00:00:00",
|
|
"2024-08-06T04:00:00",
|
|
"2024-08-06T08:00:00",
|
|
"2024-08-06T12:00:00",
|
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"2024-08-06T16:00:00",
|
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"2024-08-06T20:00:00",
|
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"2024-08-07T00:00:00",
|
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"2024-08-07T04:00:00",
|
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"2024-08-07T08:00:00",
|
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"2024-08-07T12:00:00",
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"2024-08-07T16:00:00",
|
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"2024-08-07T20:00:00",
|
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"2024-08-08T00:00:00",
|
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"2024-08-08T04:00:00",
|
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"2024-08-08T08:00:00",
|
|
"2024-08-08T12:00:00",
|
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"2024-08-08T16:00:00",
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"2024-08-08T20:00:00",
|
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"2024-08-09T00:00:00",
|
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"2024-08-09T04:00:00",
|
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"2024-08-09T08:00:00",
|
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"2024-08-09T12:00:00",
|
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"2024-08-09T16:00:00",
|
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"2024-08-09T20:00:00",
|
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"2024-08-10T00:00:00",
|
|
"2024-08-10T04:00:00",
|
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"2024-08-10T08:00:00",
|
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"2024-08-10T12:00:00",
|
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"2024-08-10T16:00:00",
|
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"2024-08-10T20:00:00",
|
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"2024-08-11T00:00:00",
|
|
"2024-08-11T04:00:00",
|
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"2024-08-11T08:00:00",
|
|
"2024-08-11T12:00:00",
|
|
"2024-08-11T16:00:00",
|
|
"2024-08-11T20:00:00",
|
|
"2024-08-12T00:00:00",
|
|
"2024-08-12T04:00:00",
|
|
"2024-08-12T08:00:00",
|
|
"2024-08-12T12:00:00",
|
|
"2024-08-12T16:00:00",
|
|
"2024-08-12T20:00:00",
|
|
"2024-08-13T00:00:00",
|
|
"2024-08-13T04:00:00",
|
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"2024-08-13T08:00:00",
|
|
"2024-08-13T12:00:00",
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"2024-08-13T16:00:00",
|
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"2024-08-13T20:00:00",
|
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"2024-08-14T00:00:00",
|
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"2024-08-14T04:00:00",
|
|
"2024-08-14T08:00:00",
|
|
"2024-08-14T12:00:00",
|
|
"2024-08-14T16:00:00",
|
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"2024-08-14T20:00:00",
|
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"2024-08-15T00:00:00",
|
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"2024-08-15T04:00:00",
|
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"2024-08-15T08:00:00",
|
|
"2024-08-15T12:00:00",
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"2024-08-15T16:00:00",
|
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"2024-08-15T20:00:00",
|
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"2024-08-16T00:00:00",
|
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"2024-08-16T04:00:00",
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"2025-02-14T16:00:00",
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"2025-02-14T20:00:00",
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"2025-02-15T00:00:00",
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"2025-02-15T04:00:00",
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"2025-02-15T08:00:00",
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"2025-02-15T12:00:00",
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"2025-02-15T16:00:00",
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"2025-02-16T04:00:00",
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"2025-02-16T16:00:00",
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"2025-02-16T20:00:00",
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"2025-02-17T00:00:00",
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"2025-02-17T04:00:00",
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"2025-02-17T08:00:00",
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"2025-02-17T12:00:00",
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"2025-02-17T16:00:00",
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"2025-02-17T20:00:00",
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"2025-02-18T00:00:00",
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"2025-02-18T04:00:00",
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"2024-07-14T20:00:00",
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"2024-07-15T16:00:00",
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"2024-07-17T04:00:00",
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"2024-07-17T12:00:00",
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"2024-07-17T16:00:00",
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"2024-07-17T20:00:00",
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"2024-07-18T00:00:00",
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"2024-07-18T04:00:00",
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"2024-07-18T08:00:00",
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"2024-07-18T12:00:00",
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"2024-07-18T16:00:00",
|
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"2024-07-18T20:00:00",
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"2024-07-19T00:00:00",
|
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"2024-07-19T04:00:00",
|
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"2024-07-19T08:00:00",
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"2024-07-19T12:00:00",
|
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"2024-07-19T16:00:00",
|
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"2024-07-19T20:00:00",
|
|
"2024-07-20T00:00:00",
|
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"2024-07-20T04:00:00",
|
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"2024-07-20T08:00:00",
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"2024-07-20T12:00:00",
|
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"2024-07-20T16:00:00",
|
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"2024-07-20T20:00:00",
|
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"2024-07-21T00:00:00",
|
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"2024-07-21T04:00:00",
|
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"2024-07-21T08:00:00",
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"2024-07-21T12:00:00",
|
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"2024-07-21T16:00:00",
|
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"2024-07-21T20:00:00",
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"2024-07-22T00:00:00",
|
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"2024-07-22T04:00:00",
|
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"2024-07-22T08:00:00",
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"2024-07-22T12:00:00",
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"2024-07-22T16:00:00",
|
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"2024-07-22T20:00:00",
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"2024-07-23T00:00:00",
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"2024-07-23T04:00:00",
|
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"2024-07-23T08:00:00",
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"2024-07-23T12:00:00",
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"2024-07-23T16:00:00",
|
|
"2024-07-23T20:00:00",
|
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"2024-07-24T00:00:00",
|
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"2024-07-24T04:00:00",
|
|
"2024-07-24T08:00:00",
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"2024-07-24T12:00:00",
|
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"2024-07-24T16:00:00",
|
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"2024-07-24T20:00:00",
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"2024-07-25T00:00:00",
|
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"2024-07-25T04:00:00",
|
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"2024-07-25T08:00:00",
|
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"2024-07-25T12:00:00",
|
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"2024-07-25T16:00:00",
|
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"2024-07-25T20:00:00",
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"2024-07-26T00:00:00",
|
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"2024-07-26T04:00:00",
|
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"2024-07-26T08:00:00",
|
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"2024-07-26T12:00:00",
|
|
"2024-07-26T16:00:00",
|
|
"2024-07-26T20:00:00",
|
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"2024-07-27T00:00:00",
|
|
"2024-07-27T04:00:00",
|
|
"2024-07-27T08:00:00",
|
|
"2024-07-27T12:00:00",
|
|
"2024-07-27T16:00:00",
|
|
"2024-07-27T20:00:00",
|
|
"2024-07-28T00:00:00",
|
|
"2024-07-28T04:00:00",
|
|
"2024-07-28T08:00:00",
|
|
"2024-07-28T12:00:00",
|
|
"2024-07-28T16:00:00",
|
|
"2024-07-28T20:00:00",
|
|
"2024-07-29T00:00:00",
|
|
"2024-07-29T04:00:00",
|
|
"2024-07-29T08:00:00",
|
|
"2024-07-29T12:00:00",
|
|
"2024-07-29T16:00:00",
|
|
"2024-07-29T20:00:00",
|
|
"2024-07-30T00:00:00",
|
|
"2024-07-30T04:00:00",
|
|
"2024-07-30T08:00:00",
|
|
"2024-07-30T12:00:00",
|
|
"2024-07-30T16:00:00",
|
|
"2024-07-30T20:00:00",
|
|
"2024-07-31T00:00:00",
|
|
"2024-07-31T04:00:00",
|
|
"2024-07-31T08:00:00",
|
|
"2024-07-31T12:00:00",
|
|
"2024-07-31T16:00:00",
|
|
"2024-07-31T20:00:00",
|
|
"2024-08-01T00:00:00",
|
|
"2024-08-01T04:00:00",
|
|
"2024-08-01T08:00:00",
|
|
"2024-08-01T12:00:00",
|
|
"2024-08-01T16:00:00",
|
|
"2024-08-01T20:00:00",
|
|
"2024-08-02T00:00:00",
|
|
"2024-08-02T04:00:00",
|
|
"2024-08-02T08:00:00",
|
|
"2024-08-02T12:00:00",
|
|
"2024-08-02T16:00:00",
|
|
"2024-08-02T20:00:00",
|
|
"2024-08-03T00:00:00",
|
|
"2024-08-03T04:00:00",
|
|
"2024-08-03T08:00:00",
|
|
"2024-08-03T12:00:00",
|
|
"2024-08-03T16:00:00",
|
|
"2024-08-03T20:00:00",
|
|
"2024-08-04T00:00:00",
|
|
"2024-08-04T04:00:00",
|
|
"2024-08-04T08:00:00",
|
|
"2024-08-04T12:00:00",
|
|
"2024-08-04T16:00:00",
|
|
"2024-08-04T20:00:00",
|
|
"2024-08-05T00:00:00",
|
|
"2024-08-05T04:00:00",
|
|
"2024-08-05T08:00:00",
|
|
"2024-08-05T12:00:00",
|
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"2024-08-05T16:00:00",
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"2024-10-06T16:00:00",
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"2024-05-12T00:00:00",
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"2024-05-19T20:00:00",
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"2024-05-23T16:00:00",
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"2024-05-24T20:00:00",
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"2024-05-26T16:00:00",
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"2024-05-29T16:00:00",
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"2024-06-09T16:00:00",
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|
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"2024-06-11T00:00:00",
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"2024-06-11T04:00:00",
|
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"2024-06-11T08:00:00",
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"2024-06-11T12:00:00",
|
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"2024-06-11T16:00:00",
|
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"2024-06-11T20:00:00",
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"2024-06-12T00:00:00",
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"2024-06-12T04:00:00",
|
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|
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"2024-06-12T16:00:00",
|
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|
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"2024-06-13T00:00:00",
|
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"2024-06-13T04:00:00",
|
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"2024-06-13T08:00:00",
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"2024-06-13T12:00:00",
|
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"2024-06-13T16:00:00",
|
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"2024-06-13T20:00:00",
|
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"2024-06-14T00:00:00",
|
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"2024-06-14T04:00:00",
|
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"2024-06-14T08:00:00",
|
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"2024-06-14T12:00:00",
|
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"2024-06-14T16:00:00",
|
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"2024-06-14T20:00:00",
|
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"2024-06-15T00:00:00",
|
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"2024-06-15T04:00:00",
|
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"2024-06-15T08:00:00",
|
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"2024-06-15T12:00:00",
|
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"2024-06-15T16:00:00",
|
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"2024-06-15T20:00:00",
|
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"2024-06-16T00:00:00",
|
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"2024-06-16T04:00:00",
|
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"2024-06-16T08:00:00",
|
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"2024-06-16T12:00:00",
|
|
"2024-06-16T16:00:00",
|
|
"2024-06-16T20:00:00",
|
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"2024-06-17T00:00:00",
|
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"2024-06-17T04:00:00",
|
|
"2024-06-17T08:00:00",
|
|
"2024-06-17T12:00:00",
|
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"2024-06-17T16:00:00",
|
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"2024-06-17T20:00:00",
|
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"2024-06-18T00:00:00",
|
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"2024-06-18T04:00:00",
|
|
"2024-06-18T08:00:00",
|
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"2024-06-18T12:00:00",
|
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"2024-06-18T16:00:00",
|
|
"2024-06-18T20:00:00",
|
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"2024-06-19T00:00:00",
|
|
"2024-06-19T04:00:00",
|
|
"2024-06-19T08:00:00",
|
|
"2024-06-19T12:00:00",
|
|
"2024-06-19T16:00:00",
|
|
"2024-06-19T20:00:00",
|
|
"2024-06-20T00:00:00",
|
|
"2024-06-20T04:00:00",
|
|
"2024-06-20T08:00:00",
|
|
"2024-06-20T12:00:00",
|
|
"2024-06-20T16:00:00",
|
|
"2024-06-20T20:00:00",
|
|
"2024-06-21T00:00:00",
|
|
"2024-06-21T04:00:00",
|
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"2024-06-21T08:00:00",
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"2024-06-21T12:00:00",
|
|
"2024-06-21T16:00:00",
|
|
"2024-06-21T20:00:00",
|
|
"2024-06-22T00:00:00",
|
|
"2024-06-22T04:00:00",
|
|
"2024-06-22T08:00:00",
|
|
"2024-06-22T12:00:00",
|
|
"2024-06-22T16:00:00",
|
|
"2024-06-22T20:00:00",
|
|
"2024-06-23T00:00:00",
|
|
"2024-06-23T04:00:00",
|
|
"2024-06-23T08:00:00",
|
|
"2024-06-23T12:00:00",
|
|
"2024-06-23T16:00:00",
|
|
"2024-06-23T20:00:00",
|
|
"2024-06-24T00:00:00",
|
|
"2024-06-24T04:00:00",
|
|
"2024-06-24T08:00:00",
|
|
"2024-06-24T12:00:00",
|
|
"2024-06-24T16:00:00",
|
|
"2024-06-24T20:00:00",
|
|
"2024-06-25T00:00:00",
|
|
"2024-06-25T04:00:00",
|
|
"2024-06-25T08:00:00",
|
|
"2024-06-25T12:00:00",
|
|
"2024-06-25T16:00:00",
|
|
"2024-06-25T20:00:00",
|
|
"2024-06-26T00:00:00",
|
|
"2024-06-26T04:00:00",
|
|
"2024-06-26T08:00:00",
|
|
"2024-06-26T12:00:00",
|
|
"2024-06-26T16:00:00",
|
|
"2024-06-26T20:00:00",
|
|
"2024-06-27T00:00:00",
|
|
"2024-06-27T04:00:00",
|
|
"2024-06-27T08:00:00",
|
|
"2024-06-27T12:00:00",
|
|
"2024-06-27T16:00:00",
|
|
"2024-06-27T20:00:00",
|
|
"2024-06-28T00:00:00",
|
|
"2024-06-28T04:00:00",
|
|
"2024-06-28T08:00:00",
|
|
"2024-06-28T12:00:00",
|
|
"2024-06-28T16:00:00",
|
|
"2024-06-28T20:00:00",
|
|
"2024-06-29T00:00:00",
|
|
"2024-06-29T04:00:00",
|
|
"2024-06-29T08:00:00",
|
|
"2024-06-29T12:00:00",
|
|
"2024-06-29T16:00:00",
|
|
"2024-06-29T20:00:00",
|
|
"2024-06-30T00:00:00",
|
|
"2024-06-30T04:00:00",
|
|
"2024-06-30T08:00:00",
|
|
"2024-06-30T12:00:00",
|
|
"2024-06-30T16:00:00",
|
|
"2024-06-30T20:00:00",
|
|
"2024-07-01T00:00:00",
|
|
"2024-07-01T04:00:00",
|
|
"2024-07-01T08:00:00",
|
|
"2024-07-01T12:00:00",
|
|
"2024-07-01T16:00:00",
|
|
"2024-07-01T20:00:00",
|
|
"2024-07-02T00:00:00",
|
|
"2024-07-02T04:00:00",
|
|
"2024-07-02T08:00:00",
|
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"2024-07-02T12:00:00",
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"2024-07-03T04:00:00",
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"2024-07-03T08:00:00",
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"2024-07-03T12:00:00",
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"2024-07-03T20:00:00",
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"2024-07-04T00:00:00",
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"2024-07-04T16:00:00",
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"2024-07-04T20:00:00",
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"2024-07-05T00:00:00",
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"2024-07-11T00:00:00",
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"2024-07-11T12:00:00",
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"2024-07-11T16:00:00",
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"2024-07-11T20:00:00",
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"2024-07-12T00:00:00",
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"2024-07-12T04:00:00",
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"2024-07-12T08:00:00",
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"2024-07-12T12:00:00",
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"2024-07-12T16:00:00",
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"2024-07-12T20:00:00",
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"2024-07-13T00:00:00",
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"2024-07-13T04:00:00",
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"2024-07-13T08:00:00",
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"2024-07-13T12:00:00",
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"2024-07-13T16:00:00",
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"2024-07-13T20:00:00",
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"2024-07-14T00:00:00",
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"2024-07-14T04:00:00",
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"2024-07-14T08:00:00",
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"2024-07-14T16:00:00",
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"2024-07-14T20:00:00",
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"2024-07-15T00:00:00",
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"2024-07-15T12:00:00",
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"2024-07-15T16:00:00",
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"2024-07-15T20:00:00",
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"2024-07-16T16:00:00",
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"2024-07-16T20:00:00",
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"2024-07-17T04:00:00",
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"2024-07-17T08:00:00",
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"2024-07-17T12:00:00",
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"2024-07-17T16:00:00",
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"2024-07-17T20:00:00",
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"2024-07-18T00:00:00",
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"2024-07-18T04:00:00",
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"2024-07-18T08:00:00",
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"2024-07-18T12:00:00",
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"2024-07-18T16:00:00",
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"2024-07-18T20:00:00",
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"2024-07-19T00:00:00",
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"2024-07-19T04:00:00",
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"2024-07-19T08:00:00",
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"2024-07-19T12:00:00",
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"2024-07-19T16:00:00",
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"2024-07-19T20:00:00",
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"2024-07-20T00:00:00",
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"2024-07-20T04:00:00",
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"2024-07-20T08:00:00",
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"2024-07-20T12:00:00",
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"2024-07-20T16:00:00",
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"2024-07-20T20:00:00",
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"2024-07-21T00:00:00",
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"2024-07-21T04:00:00",
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"2024-07-21T08:00:00",
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"2024-07-21T12:00:00",
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"2024-07-21T16:00:00",
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"2024-07-21T20:00:00",
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"2024-07-22T00:00:00",
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"2024-07-22T04:00:00",
|
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"2024-07-22T08:00:00",
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"2024-07-22T12:00:00",
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"2024-07-22T16:00:00",
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"2024-07-22T20:00:00",
|
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"2024-07-23T00:00:00",
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"2024-07-23T04:00:00",
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"2024-07-23T08:00:00",
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"2024-07-23T16:00:00",
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"2024-07-23T20:00:00",
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"2024-07-24T00:00:00",
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"2024-07-24T04:00:00",
|
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"2024-07-24T08:00:00",
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"2024-07-24T12:00:00",
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"2024-07-24T16:00:00",
|
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"2024-07-24T20:00:00",
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"2024-07-25T00:00:00",
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"2024-07-25T04:00:00",
|
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"2024-07-25T08:00:00",
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"2024-07-25T12:00:00",
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"2024-07-25T16:00:00",
|
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"2024-07-25T20:00:00",
|
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"2024-07-26T00:00:00",
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|
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"2024-07-26T16:00:00",
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"2024-07-26T20:00:00",
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"2024-07-27T00:00:00",
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"2024-07-27T04:00:00",
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"2024-07-27T08:00:00",
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"2024-07-27T16:00:00",
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"2024-07-27T20:00:00",
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"2024-07-28T00:00:00",
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"2024-07-28T04:00:00",
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"2024-07-28T08:00:00",
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"2024-07-28T12:00:00",
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"2024-07-28T16:00:00",
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"2024-07-28T20:00:00",
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"2024-07-29T00:00:00",
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"2024-07-29T04:00:00",
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"2024-07-29T08:00:00",
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"2024-07-29T12:00:00",
|
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"2024-07-29T16:00:00",
|
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"2024-07-29T20:00:00",
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"2024-07-30T00:00:00",
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"2024-07-30T04:00:00",
|
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"2024-07-30T08:00:00",
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"2024-07-30T12:00:00",
|
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"2024-07-30T16:00:00",
|
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"2024-07-30T20:00:00",
|
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"2024-07-31T00:00:00",
|
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"2024-07-31T04:00:00",
|
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"2024-07-31T08:00:00",
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"2024-07-31T12:00:00",
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"2024-07-31T16:00:00",
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"2024-07-31T20:00:00",
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"2024-08-01T00:00:00",
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"2024-08-01T04:00:00",
|
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"2024-08-01T08:00:00",
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"2024-08-01T12:00:00",
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"2024-08-01T16:00:00",
|
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"2024-08-01T20:00:00",
|
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"2024-08-02T00:00:00",
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"2024-08-02T04:00:00",
|
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"2024-08-02T08:00:00",
|
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"2024-08-02T12:00:00",
|
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"2024-08-02T16:00:00",
|
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"2024-08-02T20:00:00",
|
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"2024-08-03T00:00:00",
|
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"2024-08-03T04:00:00",
|
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"2024-08-03T08:00:00",
|
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"2024-08-03T12:00:00",
|
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"2024-08-03T16:00:00",
|
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"2024-08-03T20:00:00",
|
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"2024-08-04T00:00:00",
|
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"2024-08-04T04:00:00",
|
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"2024-08-04T08:00:00",
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"2024-08-04T12:00:00",
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"2024-08-04T16:00:00",
|
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"2024-08-04T20:00:00",
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"2024-08-05T00:00:00",
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"2024-08-05T04:00:00",
|
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"2024-08-05T08:00:00",
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"2024-08-05T12:00:00",
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"2024-08-05T16:00:00",
|
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"2024-08-05T20:00:00",
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"2024-08-06T00:00:00",
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|
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"2024-08-06T08:00:00",
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|
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"2024-08-06T16:00:00",
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"2024-08-06T20:00:00",
|
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"2024-08-07T00:00:00",
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"2024-08-07T04:00:00",
|
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"2024-08-07T08:00:00",
|
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"2024-08-07T12:00:00",
|
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"2024-08-07T16:00:00",
|
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"2024-08-07T20:00:00",
|
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"2024-08-08T00:00:00",
|
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"2024-08-08T04:00:00",
|
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"2024-08-08T08:00:00",
|
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"2024-08-08T12:00:00",
|
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"2024-08-08T16:00:00",
|
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"2024-08-08T20:00:00",
|
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"2024-08-09T00:00:00",
|
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"2024-08-09T04:00:00",
|
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"2024-08-09T08:00:00",
|
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"2024-08-09T12:00:00",
|
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"2024-08-09T16:00:00",
|
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"2024-08-09T20:00:00",
|
|
"2024-08-10T00:00:00",
|
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"2024-08-10T04:00:00",
|
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"2024-08-10T08:00:00",
|
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"2024-08-10T12:00:00",
|
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"2024-08-10T16:00:00",
|
|
"2024-08-10T20:00:00",
|
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"2024-08-11T00:00:00",
|
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"2024-08-11T04:00:00",
|
|
"2024-08-11T08:00:00",
|
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"2024-08-11T12:00:00",
|
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"2024-08-11T16:00:00",
|
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"2024-08-11T20:00:00",
|
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"2024-08-12T00:00:00",
|
|
"2024-08-12T04:00:00",
|
|
"2024-08-12T08:00:00",
|
|
"2024-08-12T12:00:00",
|
|
"2024-08-12T16:00:00",
|
|
"2024-08-12T20:00:00",
|
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"2024-08-13T00:00:00",
|
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"2024-08-13T04:00:00",
|
|
"2024-08-13T08:00:00",
|
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"2024-08-13T12:00:00",
|
|
"2024-08-13T16:00:00",
|
|
"2024-08-13T20:00:00",
|
|
"2024-08-14T00:00:00",
|
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"2024-08-14T04:00:00",
|
|
"2024-08-14T08:00:00",
|
|
"2024-08-14T12:00:00",
|
|
"2024-08-14T16:00:00",
|
|
"2024-08-14T20:00:00",
|
|
"2024-08-15T00:00:00",
|
|
"2024-08-15T04:00:00",
|
|
"2024-08-15T08:00:00",
|
|
"2024-08-15T12:00:00",
|
|
"2024-08-15T16:00:00",
|
|
"2024-08-15T20:00:00",
|
|
"2024-08-16T00:00:00",
|
|
"2024-08-16T04:00:00",
|
|
"2024-08-16T08:00:00",
|
|
"2024-08-16T12:00:00",
|
|
"2024-08-16T16:00:00",
|
|
"2024-08-16T20:00:00",
|
|
"2024-08-17T00:00:00",
|
|
"2024-08-17T04:00:00",
|
|
"2024-08-17T08:00:00",
|
|
"2024-08-17T12:00:00",
|
|
"2024-08-17T16:00:00",
|
|
"2024-08-17T20:00:00",
|
|
"2024-08-18T00:00:00",
|
|
"2024-08-18T04:00:00",
|
|
"2024-08-18T08:00:00",
|
|
"2024-08-18T12:00:00",
|
|
"2024-08-18T16:00:00",
|
|
"2024-08-18T20:00:00",
|
|
"2024-08-19T00:00:00",
|
|
"2024-08-19T04:00:00",
|
|
"2024-08-19T08:00:00",
|
|
"2024-08-19T12:00:00",
|
|
"2024-08-19T16:00:00",
|
|
"2024-08-19T20:00:00",
|
|
"2024-08-20T00:00:00",
|
|
"2024-08-20T04:00:00",
|
|
"2024-08-20T08:00:00",
|
|
"2024-08-20T12:00:00",
|
|
"2024-08-20T16:00:00",
|
|
"2024-08-20T20:00:00",
|
|
"2024-08-21T00:00:00",
|
|
"2024-08-21T04:00:00",
|
|
"2024-08-21T08:00:00",
|
|
"2024-08-21T12:00:00",
|
|
"2024-08-21T16:00:00",
|
|
"2024-08-21T20:00:00",
|
|
"2024-08-22T00:00:00",
|
|
"2024-08-22T04:00:00",
|
|
"2024-08-22T08:00:00",
|
|
"2024-08-22T12:00:00",
|
|
"2024-08-22T16:00:00",
|
|
"2024-08-22T20:00:00",
|
|
"2024-08-23T00:00:00",
|
|
"2024-08-23T04:00:00",
|
|
"2024-08-23T08:00:00",
|
|
"2024-08-23T12:00:00",
|
|
"2024-08-23T16:00:00",
|
|
"2024-08-23T20:00:00",
|
|
"2024-08-24T00:00:00",
|
|
"2024-08-24T04:00:00",
|
|
"2024-08-24T08:00:00",
|
|
"2024-08-24T12:00:00",
|
|
"2024-08-24T16:00:00",
|
|
"2024-08-24T20:00:00",
|
|
"2024-08-25T00:00:00",
|
|
"2024-08-25T04:00:00",
|
|
"2024-08-25T08:00:00",
|
|
"2024-08-25T12:00:00",
|
|
"2024-08-25T16:00:00",
|
|
"2024-08-25T20:00:00",
|
|
"2024-08-26T00:00:00",
|
|
"2024-08-26T04:00:00",
|
|
"2024-08-26T08:00:00",
|
|
"2024-08-26T12:00:00",
|
|
"2024-08-26T16:00:00",
|
|
"2024-08-26T20:00:00",
|
|
"2024-08-27T00:00:00",
|
|
"2024-08-27T04:00:00",
|
|
"2024-08-27T08:00:00",
|
|
"2024-08-27T12:00:00",
|
|
"2024-08-27T16:00:00",
|
|
"2024-08-27T20:00:00",
|
|
"2024-08-28T00:00:00",
|
|
"2024-08-28T04:00:00",
|
|
"2024-08-28T08:00:00",
|
|
"2024-08-28T12:00:00",
|
|
"2024-08-28T16:00:00",
|
|
"2024-08-28T20:00:00",
|
|
"2024-08-29T00:00:00",
|
|
"2024-08-29T04:00:00",
|
|
"2024-08-29T08:00:00",
|
|
"2024-08-29T12:00:00",
|
|
"2024-08-29T16:00:00",
|
|
"2024-08-29T20:00:00",
|
|
"2024-08-30T00:00:00",
|
|
"2024-08-30T04:00:00",
|
|
"2024-08-30T08:00:00",
|
|
"2024-08-30T12:00:00",
|
|
"2024-08-30T16:00:00",
|
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"2024-08-30T20:00:00",
|
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"2024-08-31T00:00:00",
|
|
"2024-08-31T04:00:00",
|
|
"2024-08-31T08:00:00",
|
|
"2024-08-31T12:00:00",
|
|
"2024-08-31T16:00:00",
|
|
"2024-08-31T20:00:00",
|
|
"2024-09-01T00:00:00",
|
|
"2024-09-01T04:00:00",
|
|
"2024-09-01T08:00:00",
|
|
"2024-09-01T12:00:00",
|
|
"2024-09-01T16:00:00",
|
|
"2024-09-01T20:00:00",
|
|
"2024-09-02T00:00:00",
|
|
"2024-09-02T04:00:00",
|
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"2024-09-02T08:00:00",
|
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"2024-09-02T12:00:00",
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"metadata": {},
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"source": [
|
|
"import sys\n",
|
|
"import os\n",
|
|
"import warnings\n",
|
|
"from pathlib import Path\n",
|
|
"\n",
|
|
"# ---------------------------------------------------------------------------\n",
|
|
"# 1) SET PROJECT ROOT AND UPDATE PATH/WORKING DIRECTORY\n",
|
|
"# ---------------------------------------------------------------------------\n",
|
|
"project_root = Path.cwd().parent.parent\n",
|
|
"sys.path.append(str(project_root))\n",
|
|
"os.chdir(str(project_root))\n",
|
|
"warnings.filterwarnings(\"ignore\")\n",
|
|
"\n",
|
|
"import pandas as pd\n",
|
|
"import numpy as np\n",
|
|
"import MetaTrader5 as mt5\n",
|
|
"import vectorbt as vbt\n",
|
|
"import joblib\n",
|
|
"\n",
|
|
"# Our modules\n",
|
|
"from data.data_loader import get_data_mt5\n",
|
|
"from features.feature_engineering import add_all_ta_features\n",
|
|
"from features.labeling_schemes import create_labels_regime_detection\n",
|
|
"\n",
|
|
"# Sklearn\n",
|
|
"from sklearn.metrics import accuracy_score\n",
|
|
"\n",
|
|
"###########################################################\n",
|
|
"# 1) DATA LOADING & FEATURE ENGINEERING\n",
|
|
"###########################################################\n",
|
|
"if not mt5.initialize():\n",
|
|
" print(\"Failed to initialize MT5\")\n",
|
|
"else:\n",
|
|
" # Fetch 2000 most recent bars for backtesting\n",
|
|
" data = get_data_mt5(symbol=\"BTCUSD\", timeframe=mt5.TIMEFRAME_H4, n_bars=2000, start_pos=0)\n",
|
|
" mt5.shutdown()\n",
|
|
"\n",
|
|
"# Add technical features\n",
|
|
"df = add_all_ta_features(data)\n",
|
|
"\n",
|
|
"# Create regime detection labels\n",
|
|
"df_lbl = create_labels_regime_detection(df, short_window=20, long_window=50)\n",
|
|
"\n",
|
|
"# Separate features and labels\n",
|
|
"X = df_lbl.drop(columns=[\"regime_label\", \"ma_short\", \"ma_long\"])\n",
|
|
"y = df_lbl[\"regime_label\"] # in {-1, 0, +1}\n",
|
|
"y_shifted = y + 1 # in {0,1,2} if your classifier used shifted labels\n",
|
|
"\n",
|
|
"###########################################################\n",
|
|
"# 2) LOAD PRE-TRAINED CLASSIFICATION MODEL (NO RETRAINING)\n",
|
|
"###########################################################\n",
|
|
"best_pipeline = joblib.load(\"models/saved_models/best_rf_rd_pipeline.pkl\")\n",
|
|
"print(\"Loaded best classification model from 'best_rf_rd_pipeline.pkl'\")\n",
|
|
"\n",
|
|
"# Identify the columns the pipeline was trained on\n",
|
|
"trained_columns = best_pipeline[\"scaler\"].feature_names_in_ # Adjust if your pipeline step name differs\n",
|
|
"\n",
|
|
"# Subset X to match these columns\n",
|
|
"X_test = X[trained_columns]\n",
|
|
"\n",
|
|
"# Predict on the new dataset\n",
|
|
"preds_shifted = best_pipeline.predict(X_test)\n",
|
|
"\n",
|
|
"# Shift predictions back to {-1, 0, +1}\n",
|
|
"preds = preds_shifted - 1\n",
|
|
"\n",
|
|
"# Accuracy on the exact prediction rows\n",
|
|
"accuracy = accuracy_score(y.loc[X_test.index], preds)\n",
|
|
"print(f\"\\nOut-of-Sample Accuracy: {accuracy:.4f}\")\n",
|
|
"\n",
|
|
"###########################################################\n",
|
|
"# 3) BACKTEST via target exposure (-1, 0, +1) << UPDATED\n",
|
|
"###########################################################\n",
|
|
"# predictions already in {-1, 0, +1}\n",
|
|
"exposure = pd.Series(preds.astype(float), index=X_test.index)\n",
|
|
"\n",
|
|
"# Align prices exactly to prediction rows (no padding)\n",
|
|
"close = df_lbl.loc[X_test.index, \"close\"]\n",
|
|
"\n",
|
|
"# Optional: trade on next bar to avoid look-ahead (set to 0 for same-bar)\n",
|
|
"execution_lag = 1\n",
|
|
"if execution_lag > 0:\n",
|
|
" exposure = exposure.shift(execution_lag).fillna(0.0)\n",
|
|
"\n",
|
|
"fees = 0.0002 # 0.02% transaction cost per trade\n",
|
|
"\n",
|
|
"pf = vbt.Portfolio.from_orders(\n",
|
|
" close=close,\n",
|
|
" size=exposure, # -1 short, 0 flat, +1 long\n",
|
|
" size_type='targetpercent',\n",
|
|
" init_cash=10000,\n",
|
|
" freq='4H',\n",
|
|
" fees=fees\n",
|
|
")\n",
|
|
"\n",
|
|
"total_return = pf.total_return()\n",
|
|
"sharpe_ratio = pf.sharpe_ratio()\n",
|
|
"\n",
|
|
"print(\"\\nFull Backtest Results:\")\n",
|
|
"print(f\"Accuracy={accuracy:.4f}, Return={total_return:.2f}%, Sharpe={sharpe_ratio:.2f}\")\n",
|
|
"print(pf.stats())\n",
|
|
"\n",
|
|
"# Optional: Plot the backtest\n",
|
|
"fig = pf.plot()\n",
|
|
"fig.show()\n"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "ml",
|
|
"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": "3.11.11"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 2
|
|
}
|