566 lines
258 KiB
Plaintext
566 lines
258 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"id": "522f09ca7b3fe929",
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"metadata": {
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"ExecuteTime": {
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"end_time": "2025-10-24T08:51:43.194699Z",
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"start_time": "2025-10-24T08:51:43.179275Z"
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}
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},
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"source": [
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"from datetime import datetime\n",
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"\n",
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"from src.data_processing import load_raw_data\n",
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"%load_ext autoreload\n",
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"%autoreload 2\n",
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"\n",
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"import sys\n",
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"\n",
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"if '/mnt/d/PyProject/NewQuant/' not in sys.path:\n",
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" sys.path.append('/mnt/d/PyProject/NewQuant/')"
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],
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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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"The autoreload extension is already loaded. To reload it, use:\n",
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" %reload_ext autoreload\n"
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]
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}
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],
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"execution_count": 5
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},
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{
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"cell_type": "code",
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||
"id": "4f7e4b438cea750e",
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||
"metadata": {
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"ExecuteTime": {
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"end_time": "2025-10-24T08:51:43.218306Z",
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"start_time": "2025-10-24T08:51:43.204291Z"
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}
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},
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"source": [
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"from turtle import down\n",
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"from src.analysis.result_analyzer import ResultAnalyzer\n",
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"# 导入所有必要的模块\n",
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"from src.data_manager import DataManager\n",
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"from src.backtest_engine import BacktestEngine\n",
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"from src.indicators.indicator_list import INDICATOR_LIST\n",
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"from src.indicators.indicators import *\n",
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"\n",
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"# 导入您自己的 SMC 策略\n",
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"from futures_trading_strategies.FG.TrendlineBreakoutStrategy.DualModeTrendlineHawkesStrategy2 import DualModeTrendlineHawkesStrategy\n",
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"# from src.strategies.TrendlineBreakoutStrategy.DualModeTrendlineHawkesStrategy import DualModeTrendlineHawkesStrategy\n",
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"\n",
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"# --- 配置参数 ---\n",
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"# 获取当前脚本所在目录，假设数据文件在项目根目录下的 data 文件夹内\n",
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"data_file_path = 'D:/PyProject/NewQuant/data/data/KQ_m@CZCE_FG/KQ_m@CZCE_FG_min15.csv'\n"
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],
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"outputs": [],
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"execution_count": 6
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},
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{
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"metadata": {
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"ExecuteTime": {
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||
"end_time": "2025-10-24T08:51:43.234330Z",
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||
"start_time": "2025-10-24T08:51:43.220316Z"
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}
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},
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"cell_type": "code",
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"source": [
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"\n",
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"initial_capital = 100000.0\n",
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"slippage_rate = 0.000 # 假设每笔交易0.1%的滑点\n",
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"commission_rate = 0.0000 # 假设每笔交易0.02%的佣金\n",
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"\n",
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"global_config = {\n",
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" 'symbol': 'KQ_m@CZCE_FG', # 确保与数据文件中的 symbol 匹配\n",
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"}\n",
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"\n",
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"# 回测时间范围\n",
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"start_time = datetime(2021, 1, 1)\n",
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"end_time = datetime(2024, 6, 1)\n",
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"\n",
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"start_time = datetime(2025, 1, 1)\n",
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"end_time = datetime(2025, 11, 10)\n",
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"\n",
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"\n",
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"indicators = INDICATOR_LIST\n",
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"indicators = []\n",
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"\n",
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"# 确保 DataManager 能够重置以进行多次回测\n",
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"# data_manager.reset() # 首次运行不需要重置"
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],
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"id": "9ee53c41eaaefabb",
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"outputs": [],
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"execution_count": 7
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},
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{
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"metadata": {
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"ExecuteTime": {
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"end_time": "2025-10-24T08:51:45.460848Z",
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"start_time": "2025-10-24T08:51:43.238104Z"
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}
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},
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"cell_type": "code",
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"source": [
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"from src.indicators.indicators import ROC_MA\n",
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"\n",
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"# --- 1. 初始化数据管理器 ---\n",
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"print(\"初始化数据管理器...\")\n",
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"data_manager = DataManager(file_path=data_file_path, symbol=global_config['symbol'], start_time=start_time,\n",
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" end_time=end_time)\n",
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"\n",
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"strategy_parameters = {\n",
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" 'main_symbol': 'FG',\n",
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" 'trade_volume': 1,\n",
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" # 'indicators': [RateOfChange(10, -2.1, -0.5), ROC_MA(10, 10, -2.7, -0.4)],\n",
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" 'enable_log': False,\n",
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" 'trend_params': {\n",
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" \"trendline_n\": 10,\n",
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" \"hawkes_kappa\": 0.9,\n",
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" },\n",
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" 'reversion_params': {\n",
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" \"trendline_n\": 70,\n",
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" \"hawkes_kappa\": 0.1,\n",
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" },\n",
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" 'conflict_resolution': 'NONE'\n",
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"}\n",
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"\n",
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"# --- 2. 初始化回测引擎并运行 ---\n",
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"print(\"\\n初始化回测引擎...\")\n",
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"engine = BacktestEngine(\n",
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" data_manager=data_manager,\n",
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" strategy_class=DualModeTrendlineHawkesStrategy, # <--- 更改为您的 SMC 策略类\n",
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" # current_segment_symbol 参数已从 SMCPureH1LongStrategy 中移除，不需要设置\n",
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" strategy_params=strategy_parameters,\n",
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" initial_capital=initial_capital,\n",
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" slippage_rate=slippage_rate,\n",
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" commission_rate=commission_rate,\n",
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" roll_over_mode=True,\n",
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" start_time=start_time,\n",
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" end_time=end_time,\n",
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" indicators=indicators # 如果您的 SMC 策略不使用这些指标，也可以考虑移除\n",
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")\n",
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"\n",
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"print(\"\\n开始运行回测...\")\n",
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"engine.run_backtest()\n",
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"print(\"\\n回测运行完毕。\")\n",
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"\n",
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"# --- 3. 获取回测结果 ---\n",
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"results = engine.get_backtest_results()\n",
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"portfolio_snapshots = results[\"portfolio_snapshots\"]\n",
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"trade_history = results[\"trade_history\"]\n",
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"initial_capital_result = results[\"initial_capital\"]\n",
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"bars = results[\"all_bars\"]\n",
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"\n",
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"# --- 4. 结果分析与可视化 ---\n",
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"if portfolio_snapshots:\n",
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" analyzer = ResultAnalyzer(portfolio_snapshots, trade_history, bars, initial_capital_result, INDICATOR_LIST)\n",
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"\n",
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" analyzer.generate_report()\n",
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" analyzer.plot_performance()\n",
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" metrics = analyzer.calculate_all_metrics()\n",
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" print(metrics)\n",
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"\n",
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" analyzer.analyze_indicators()\n",
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"else:\n",
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" print(\"\\n没有生成投资组合快照，无法进行结果分析。\")"
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],
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||
"id": "f903fd2761d446cd",
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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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"初始化数据管理器...\n",
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"数据加载成功: D:/PyProject/NewQuant/data/data/KQ_m@CZCE_FG/KQ_m@CZCE_FG_min15.csv\n",
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"数据范围从 2020-12-31 14:45:00 到 2025-10-24 14:30:00\n",
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"总计 26508 条记录。\n",
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"\n",
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"初始化回测引擎...\n",
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"模拟器初始化：初始资金=100000.00, 滑点率=0.0, 佣金率=0.0\n",
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"内存仓储已初始化，管理ID: 'futures_trading_strategies.FG.TrendlineBreakoutStrategy.DualModeTrendlineHawkesStrategy2.DualModeTrendlineHawkesStrategy_ec6cb042fb4d776e22af01d6641dc528'\n",
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"DualModeTrendlineHawkesStrategy initialized.\n",
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"Enabled modes: ['TREND', 'REVERSION']\n",
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"Conflict resolution: NONE\n",
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"\n",
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"--- 回测引擎初始化完成 ---\n",
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" 策略: DualModeTrendlineHawkesStrategy\n",
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" 初始资金: 100000.00\n",
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" 换月模式: 启用\n",
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"\n",
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"开始运行回测...\n",
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"\n",
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"--- 回测开始 ---\n",
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"DualModeTrendlineHawkesStrategy 策略初始化回调被调用。\n",
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"开始将 DataFrame 转换为 Bar 对象流...\n",
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"Initializing Hawkes state with lookback 50...\n",
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"Initializing Hawkes state with lookback 50...\n",
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"Bar 对象流生成完毕。\n",
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"\n",
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"--- 回测结束，检查并平仓所有剩余持仓 ---\n",
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"--- 回测结束 ---\n",
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||
"总计处理了 4436 根K线。\n",
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"总计发生了 108 笔交易。\n",
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||
"最终总净值: 99987.00\n",
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"总收益率: -0.01%\n",
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"\n",
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"回测运行完毕。\n",
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"\n",
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"--- 结果分析器初始化完成 ---\n",
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"\n",
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"--- 交易明细 ---\n",
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" 2025-01-08 10:30:00 | BUY | CZCE.FG505 | Vol: 1 | Price: 1301.00 | Comm: 0.00\n",
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" 2025-01-08 22:45:00 | CLOSE_LONG | CZCE.FG505 | Vol: 1 | Price: 1299.00 | Comm: 0.00 | PnL: -2.00\n",
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||
" 2025-01-10 21:30:00 | BUY | CZCE.FG505 | Vol: 1 | Price: 1324.00 | Comm: 0.00\n",
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||
" 2025-01-13 10:30:00 | CLOSE_LONG | CZCE.FG505 | Vol: 1 | Price: 1346.00 | Comm: 0.00 | PnL: 22.00\n",
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" 2025-01-20 09:15:00 | SELL | CZCE.FG505 | Vol: 1 | Price: 1430.00 | Comm: 0.00\n",
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" 2025-01-20 11:00:00 | CLOSE_SHORT | CZCE.FG505 | Vol: 1 | Price: 1415.00 | Comm: 0.00 | PnL: 15.00\n",
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" 2025-01-23 21:15:00 | SELL | CZCE.FG505 | Vol: 1 | Price: 1384.00 | Comm: 0.00\n",
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" 2025-01-23 22:15:00 | CLOSE_SHORT | CZCE.FG505 | Vol: 1 | Price: 1384.00 | Comm: 0.00 | PnL: 0.00\n",
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" 2025-02-05 10:00:00 | BUY | CZCE.FG505 | Vol: 1 | Price: 1337.00 | Comm: 0.00\n",
|
||
" 2025-02-05 22:15:00 | CLOSE_LONG | CZCE.FG505 | Vol: 1 | Price: 1339.00 | Comm: 0.00 | PnL: 2.00\n",
|
||
" 2025-02-13 11:15:00 | BUY | CZCE.FG505 | Vol: 1 | Price: 1298.00 | Comm: 0.00\n",
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" 2025-02-14 14:45:00 | CLOSE_LONG | CZCE.FG505 | Vol: 1 | Price: 1266.00 | Comm: 0.00 | PnL: -32.00\n",
|
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" 2025-02-19 21:15:00 | BUY | CZCE.FG505 | Vol: 1 | Price: 1288.00 | Comm: 0.00\n",
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" 2025-02-19 22:15:00 | CLOSE_LONG | CZCE.FG505 | Vol: 1 | Price: 1287.00 | Comm: 0.00 | PnL: -1.00\n",
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" 2025-02-21 14:00:00 | BUY | CZCE.FG505 | Vol: 1 | Price: 1269.00 | Comm: 0.00\n",
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" 2025-02-21 22:45:00 | CLOSE_LONG | CZCE.FG505 | Vol: 1 | Price: 1264.00 | Comm: 0.00 | PnL: -5.00\n",
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" 2025-02-24 09:15:00 | SELL | CZCE.FG505 | Vol: 1 | Price: 1259.00 | Comm: 0.00\n",
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" 2025-02-24 10:30:00 | CLOSE_SHORT | CZCE.FG505 | Vol: 1 | Price: 1270.00 | Comm: 0.00 | PnL: -11.00\n",
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" 2025-03-03 09:15:00 | BUY | CZCE.FG505 | Vol: 1 | Price: 1228.00 | Comm: 0.00\n",
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" 2025-03-03 14:15:00 | CLOSE_LONG | CZCE.FG505 | Vol: 1 | Price: 1225.00 | Comm: 0.00 | PnL: -3.00\n",
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" 2025-03-05 09:30:00 | BUY | CZCE.FG505 | Vol: 1 | Price: 1206.00 | Comm: 0.00\n",
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" 2025-03-05 22:00:00 | CLOSE_LONG | CZCE.FG505 | Vol: 1 | Price: 1195.00 | Comm: 0.00 | PnL: -11.00\n",
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" 2025-03-11 21:15:00 | BUY | CZCE.FG505 | Vol: 1 | Price: 1168.00 | Comm: 0.00\n",
|
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" 2025-03-11 22:00:00 | CLOSE_LONG | CZCE.FG505 | Vol: 1 | Price: 1158.00 | Comm: 0.00 | PnL: -10.00\n",
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" 2025-03-17 09:15:00 | SELL | CZCE.FG505 | Vol: 1 | Price: 1185.00 | Comm: 0.00\n",
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" 2025-03-17 14:45:00 | CLOSE_SHORT | CZCE.FG505 | Vol: 1 | Price: 1171.00 | Comm: 0.00 | PnL: 14.00\n",
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" 2025-03-24 09:45:00 | SELL | CZCE.FG505 | Vol: 1 | Price: 1217.00 | Comm: 0.00\n",
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" 2025-03-25 10:30:00 | CLOSE_SHORT | CZCE.FG505 | Vol: 1 | Price: 1231.00 | Comm: 0.00 | PnL: -14.00\n",
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" 2025-03-25 21:00:00 | BUY | CZCE.FG505 | Vol: 1 | Price: 1261.00 | Comm: 0.00\n",
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" 2025-03-25 22:00:00 | CLOSE_LONG | CZCE.FG505 | Vol: 1 | Price: 1254.00 | Comm: 0.00 | PnL: -7.00\n",
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" 2025-03-28 22:45:00 | BUY | CZCE.FG505 | Vol: 1 | Price: 1180.00 | Comm: 0.00\n",
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" 2025-03-31 10:30:00 | CLOSE_LONG | CZCE.FG505 | Vol: 1 | Price: 1179.00 | Comm: 0.00 | PnL: -1.00\n",
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" 2025-03-31 22:00:00 | SELL | CZCE.FG505 | Vol: 1 | Price: 1214.00 | Comm: 0.00\n",
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" 2025-04-01 22:00:00 | CLOSE_SHORT | CZCE.FG505 | Vol: 1 | Price: 1233.00 | Comm: 0.00 | PnL: -19.00\n",
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" 2025-04-08 21:30:00 | SELL | CZCE.FG505 | Vol: 1 | Price: 1178.00 | Comm: 0.00\n",
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" 2025-04-08 22:45:00 | CLOSE_SHORT | CZCE.FG505 | Vol: 1 | Price: 1172.00 | Comm: 0.00 | PnL: 6.00\n",
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||
" 2025-04-17 21:15:00 | SELL | CZCE.FG509 | Vol: 1 | Price: 1158.00 | Comm: 0.00\n",
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" 2025-04-18 10:30:00 | CLOSE_SHORT | CZCE.FG509 | Vol: 1 | Price: 1139.00 | Comm: 0.00 | PnL: 19.00\n",
|
||
" 2025-04-23 09:15:00 | BUY | CZCE.FG509 | Vol: 1 | Price: 1156.00 | Comm: 0.00\n",
|
||
" 2025-04-23 10:00:00 | CLOSE_LONG | CZCE.FG509 | Vol: 1 | Price: 1148.00 | Comm: 0.00 | PnL: -8.00\n",
|
||
" 2025-05-06 09:15:00 | SELL | CZCE.FG509 | Vol: 1 | Price: 1074.00 | Comm: 0.00\n",
|
||
" 2025-05-06 11:00:00 | CLOSE_SHORT | CZCE.FG509 | Vol: 1 | Price: 1075.00 | Comm: 0.00 | PnL: -1.00\n",
|
||
" 2025-05-07 21:15:00 | SELL | CZCE.FG509 | Vol: 1 | Price: 1062.00 | Comm: 0.00\n",
|
||
" 2025-05-08 09:30:00 | CLOSE_SHORT | CZCE.FG509 | Vol: 1 | Price: 1051.00 | Comm: 0.00 | PnL: 11.00\n",
|
||
" 2025-05-13 21:45:00 | BUY | CZCE.FG509 | Vol: 1 | Price: 1032.00 | Comm: 0.00\n",
|
||
" 2025-05-14 09:30:00 | CLOSE_LONG | CZCE.FG509 | Vol: 1 | Price: 1037.00 | Comm: 0.00 | PnL: 5.00\n",
|
||
" 2025-05-22 22:00:00 | BUY | CZCE.FG509 | Vol: 1 | Price: 1001.00 | Comm: 0.00\n",
|
||
" 2025-05-23 10:45:00 | CLOSE_LONG | CZCE.FG509 | Vol: 1 | Price: 1005.00 | Comm: 0.00 | PnL: 4.00\n",
|
||
" 2025-05-23 21:00:00 | SELL | CZCE.FG509 | Vol: 1 | Price: 1001.00 | Comm: 0.00\n",
|
||
" 2025-05-26 09:45:00 | CLOSE_SHORT | CZCE.FG509 | Vol: 1 | Price: 1015.00 | Comm: 0.00 | PnL: -14.00\n",
|
||
" 2025-06-03 21:30:00 | BUY | CZCE.FG509 | Vol: 1 | Price: 964.00 | Comm: 0.00\n",
|
||
" 2025-06-03 22:45:00 | CLOSE_LONG | CZCE.FG509 | Vol: 1 | Price: 963.00 | Comm: 0.00 | PnL: -1.00\n",
|
||
" 2025-06-04 14:30:00 | SELL | CZCE.FG509 | Vol: 1 | Price: 988.00 | Comm: 0.00\n",
|
||
" 2025-06-05 10:45:00 | CLOSE_SHORT | CZCE.FG509 | Vol: 1 | Price: 963.00 | Comm: 0.00 | PnL: 25.00\n",
|
||
" 2025-06-13 09:15:00 | BUY | CZCE.FG509 | Vol: 1 | Price: 978.00 | Comm: 0.00\n",
|
||
" 2025-06-13 14:00:00 | CLOSE_LONG | CZCE.FG509 | Vol: 1 | Price: 981.00 | Comm: 0.00 | PnL: 3.00\n",
|
||
" 2025-06-16 09:15:00 | SELL | CZCE.FG509 | Vol: 1 | Price: 974.00 | Comm: 0.00\n",
|
||
" 2025-06-16 09:45:00 | CLOSE_SHORT | CZCE.FG509 | Vol: 1 | Price: 976.00 | Comm: 0.00 | PnL: -2.00\n",
|
||
" 2025-06-24 09:15:00 | BUY | CZCE.FG509 | Vol: 1 | Price: 1011.00 | Comm: 0.00\n",
|
||
" 2025-06-24 10:30:00 | CLOSE_LONG | CZCE.FG509 | Vol: 1 | Price: 1011.00 | Comm: 0.00 | PnL: 0.00\n",
|
||
" 2025-06-30 21:15:00 | SELL | CZCE.FG509 | Vol: 1 | Price: 1002.00 | Comm: 0.00\n",
|
||
" 2025-06-30 21:45:00 | CLOSE_SHORT | CZCE.FG509 | Vol: 1 | Price: 1002.00 | Comm: 0.00 | PnL: 0.00\n",
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||
" 2025-07-02 11:15:00 | SELL | CZCE.FG509 | Vol: 1 | Price: 1028.00 | Comm: 0.00\n",
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" 2025-07-03 13:45:00 | CLOSE_SHORT | CZCE.FG509 | Vol: 1 | Price: 1043.00 | Comm: 0.00 | PnL: -15.00\n",
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" 2025-07-08 13:45:00 | BUY | CZCE.FG509 | Vol: 1 | Price: 1032.00 | Comm: 0.00\n",
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" 2025-07-08 14:45:00 | CLOSE_LONG | CZCE.FG509 | Vol: 1 | Price: 1024.00 | Comm: 0.00 | PnL: -8.00\n",
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" 2025-07-09 21:15:00 | SELL | CZCE.FG509 | Vol: 1 | Price: 1037.00 | Comm: 0.00\n",
|
||
" 2025-07-11 21:30:00 | CLOSE_SHORT | CZCE.FG509 | Vol: 1 | Price: 1088.00 | Comm: 0.00 | PnL: -51.00\n",
|
||
" 2025-07-18 10:45:00 | SELL | CZCE.FG509 | Vol: 1 | Price: 1091.00 | Comm: 0.00\n",
|
||
" 2025-07-18 13:45:00 | CLOSE_SHORT | CZCE.FG509 | Vol: 1 | Price: 1088.00 | Comm: 0.00 | PnL: 3.00\n",
|
||
" 2025-07-18 21:15:00 | BUY | CZCE.FG509 | Vol: 1 | Price: 1115.00 | Comm: 0.00\n",
|
||
" 2025-07-21 10:45:00 | CLOSE_LONG | CZCE.FG509 | Vol: 1 | Price: 1163.00 | Comm: 0.00 | PnL: 48.00\n",
|
||
" 2025-07-22 13:45:00 | BUY | CZCE.FG509 | Vol: 1 | Price: 1219.00 | Comm: 0.00\n",
|
||
" 2025-07-22 22:15:00 | CLOSE_LONG | CZCE.FG509 | Vol: 1 | Price: 1233.00 | Comm: 0.00 | PnL: 14.00\n",
|
||
" 2025-07-25 21:15:00 | SELL | CZCE.FG509 | Vol: 1 | Price: 1331.00 | Comm: 0.00\n",
|
||
" 2025-07-28 09:45:00 | CLOSE_SHORT | CZCE.FG509 | Vol: 1 | Price: 1254.00 | Comm: 0.00 | PnL: 77.00\n",
|
||
" 2025-08-12 10:30:00 | BUY | CZCE.FG509 | Vol: 1 | Price: 1075.00 | Comm: 0.00\n",
|
||
" 2025-08-12 14:45:00 | CLOSE_LONG | CZCE.FG509 | Vol: 1 | Price: 1075.00 | Comm: 0.00 | PnL: 0.00\n",
|
||
" 2025-08-14 21:15:00 | BUY | CZCE.FG601 | Vol: 1 | Price: 1234.00 | Comm: 0.00\n",
|
||
" 2025-08-15 09:00:00 | CLOSE_LONG | CZCE.FG601 | Vol: 1 | Price: 1215.00 | Comm: 0.00 | PnL: -19.00\n",
|
||
" 2025-08-18 21:15:00 | BUY | CZCE.FG601 | Vol: 1 | Price: 1228.00 | Comm: 0.00\n",
|
||
" 2025-08-18 22:00:00 | CLOSE_LONG | CZCE.FG601 | Vol: 1 | Price: 1225.00 | Comm: 0.00 | PnL: -3.00\n",
|
||
" 2025-08-19 22:00:00 | BUY | CZCE.FG601 | Vol: 1 | Price: 1160.00 | Comm: 0.00\n",
|
||
" 2025-08-20 13:45:00 | CLOSE_LONG | CZCE.FG601 | Vol: 1 | Price: 1160.00 | Comm: 0.00 | PnL: 0.00\n",
|
||
" 2025-08-27 21:15:00 | SELL | CZCE.FG601 | Vol: 1 | Price: 1161.00 | Comm: 0.00\n",
|
||
" 2025-08-28 09:30:00 | CLOSE_SHORT | CZCE.FG601 | Vol: 1 | Price: 1158.00 | Comm: 0.00 | PnL: 3.00\n",
|
||
" 2025-09-03 21:15:00 | SELL | CZCE.FG601 | Vol: 1 | Price: 1123.00 | Comm: 0.00\n",
|
||
" 2025-09-03 22:15:00 | CLOSE_SHORT | CZCE.FG601 | Vol: 1 | Price: 1132.00 | Comm: 0.00 | PnL: -9.00\n",
|
||
" 2025-09-04 21:15:00 | BUY | CZCE.FG601 | Vol: 1 | Price: 1147.00 | Comm: 0.00\n",
|
||
" 2025-09-04 22:15:00 | CLOSE_LONG | CZCE.FG601 | Vol: 1 | Price: 1140.00 | Comm: 0.00 | PnL: -7.00\n",
|
||
" 2025-09-09 21:15:00 | SELL | CZCE.FG601 | Vol: 1 | Price: 1172.00 | Comm: 0.00\n",
|
||
" 2025-09-09 22:30:00 | CLOSE_SHORT | CZCE.FG601 | Vol: 1 | Price: 1171.00 | Comm: 0.00 | PnL: 1.00\n",
|
||
" 2025-09-18 09:15:00 | SELL | CZCE.FG601 | Vol: 1 | Price: 1218.00 | Comm: 0.00\n",
|
||
" 2025-09-18 10:30:00 | CLOSE_SHORT | CZCE.FG601 | Vol: 1 | Price: 1225.00 | Comm: 0.00 | PnL: -7.00\n",
|
||
" 2025-09-18 13:30:00 | SELL | CZCE.FG601 | Vol: 1 | Price: 1208.00 | Comm: 0.00\n",
|
||
" 2025-09-18 21:45:00 | CLOSE_SHORT | CZCE.FG601 | Vol: 1 | Price: 1206.00 | Comm: 0.00 | PnL: 2.00\n",
|
||
" 2025-09-19 21:15:00 | BUY | CZCE.FG601 | Vol: 1 | Price: 1224.00 | Comm: 0.00\n",
|
||
" 2025-09-19 22:00:00 | CLOSE_LONG | CZCE.FG601 | Vol: 1 | Price: 1223.00 | Comm: 0.00 | PnL: -1.00\n",
|
||
" 2025-09-24 09:15:00 | BUY | CZCE.FG601 | Vol: 1 | Price: 1202.00 | Comm: 0.00\n",
|
||
" 2025-09-24 10:00:00 | CLOSE_LONG | CZCE.FG601 | Vol: 1 | Price: 1196.00 | Comm: 0.00 | PnL: -6.00\n",
|
||
" 2025-10-10 21:15:00 | SELL | CZCE.FG601 | Vol: 1 | Price: 1186.00 | Comm: 0.00\n",
|
||
" 2025-10-10 22:00:00 | CLOSE_SHORT | CZCE.FG601 | Vol: 1 | Price: 1184.00 | Comm: 0.00 | PnL: 2.00\n",
|
||
" 2025-10-16 21:15:00 | SELL | CZCE.FG601 | Vol: 1 | Price: 1130.00 | Comm: 0.00\n",
|
||
" 2025-10-16 22:15:00 | CLOSE_SHORT | CZCE.FG601 | Vol: 1 | Price: 1130.00 | Comm: 0.00 | PnL: 0.00\n",
|
||
" 2025-10-17 21:15:00 | BUY | CZCE.FG601 | Vol: 1 | Price: 1124.00 | Comm: 0.00\n",
|
||
" 2025-10-17 22:30:00 | CLOSE_LONG | CZCE.FG601 | Vol: 1 | Price: 1112.00 | Comm: 0.00 | PnL: -12.00\n",
|
||
" 2025-10-24 11:15:00 | BUY | CZCE.FG601 | Vol: 1 | Price: 1104.00 | Comm: 0.00\n",
|
||
" 2025-10-24 14:30:00 | CLOSE_LONG | CZCE.FG601 | Vol: 1 | Price: 1095.00 | Comm: 0.00 | PnL: -9.00\n",
|
||
"正在计算绩效指标...\n",
|
||
"total_return: -0.00012000000000000899, annualized_return:-0.00010250937113220893, 252 / total_days:0.8542372881355932\n",
|
||
"绩效指标计算完成。\n",
|
||
"\n",
|
||
"--- 回测绩效报告 ---\n",
|
||
"初始资金 : 100000.00\n",
|
||
"最终资金 : 99988.00\n",
|
||
"总收益率 : -0.01%\n",
|
||
"年化收益率 : -0.01%\n",
|
||
"最大回撤 : 0.15%\n",
|
||
"夏普比率 : -0.03\n",
|
||
"卡玛比率 : -0.07\n",
|
||
"总交易次数 : 108\n",
|
||
"总实现盈亏 : -13.00\n",
|
||
"交易成本 : 0.00\n",
|
||
"\n",
|
||
"--- 交易详情 ---\n",
|
||
"盈利交易次数 : 19\n",
|
||
"亏损交易次数 : 29\n",
|
||
"胜率 : 39.58%\n",
|
||
"盈亏比 : 1.46\n",
|
||
"平均每次盈利 : 14.53\n",
|
||
"平均每次亏损 : -9.97\n",
|
||
"正在绘制绩效图表...\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"<Figure size 1400x1000 with 2 Axes>"
|
||
],
|
||
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EAAAAmUOLA3uVlvo9BXbo2zcR0FZWsm8ERIkl8QwQ7h602uvVlkEI3KGsfQGt31MCAACAqLDl+zng1qdPYqdo6dKY1NQwb4CosCSeAcJdQWtLK4HUabFluvhyDAAAgGygIAC269mz+fclSziKAEQFAS0QsYDWHYbaU0GbOErMF2YAAABkEj1oYTvdR8vLS+wf1dX5PTUAssWSeAYId0BrSxCaOi25uXb0FKDFAQAAAPz6DgrYpqAgcVnLuGlAZFgUGwHh7UGblyfWsLnFARW0AAAAyPZ3UMDegJaFFIgKAloggxoaYlYFoaqgIG7dl1ICWgAAAGQDBQF2e/75ZXL22TUyYMCKSpeIMvtsVNAC0UFAi8jw48tYcw9aO1oJqMLC5t9tCY5NQGsqjgEAAIBMoAet3bbaqlEmTKhtqiCNKlocANFjTUBbW1sre++9t0ybNq3V+3z55ZcyduxYGTx4sOy///7y+eefJ93+7LPPyi677OLcftJJJ0llZWXTbfF4XK699lrZZpttZOjQoXL11VdLoysNmjVrlhx55JGyxRZbyIgRI+TWW29Nuv2EE06Q9ddfP+nn9ddf93w+IDPmzInJ4MGlcuml2d3S29iD1uaAlooGAAAAZBIBbTDYcqafX2hxAESPFbFRTU2NnHHGGfLNN9+0ep/ly5fLscceK1tttZU88cQTMmTIEDnuuOOc69Wnn34qkyZNkpNPPlkefvhhWbx4sUycOLHp/++++24nwL355pvlxhtvlGeeeca5TlVVVTmPPWDAAHnsscfkoosuknvvvVcefPDBpAD3mmuukbfffrvpZ7vttsvofIF37rknX377LUduusmVTmaByfhtCUJVYWFzNa8twTEBLQAAAPz6Dgr72LKf4hdaHADR4/tqb+bMmXLggQfK7Nmz27zf888/L4WFhXL22WfLOuus44SxpaWl8sILLzi333///bLHHnvIfvvtJxtssIFTIfvmm2/Kjz/+6Nx+3333yfjx452AV6toJ0yYIA888IBz2/vvvy+LFi2Siy++WAYOHCg77LCDHHHEEU6Ia6p7f/rpJ9l0002lX79+TT8FUT/vIkCKi/153uYWB2KNoiL7vvgQ0AIAACAbOGMrGKIenpuooa7O7ykBkC2+jy3/3nvvybBhw+T000+XzTffvNX7ffLJJ7LllltKbMWaWi+1HcH06dNlzJgxzu3HHHNM0/1XWWUVWXXVVZ3rNUj99ddfZeutt266XR/r559/lrlz58qGG24oU6ZMaRG4Ll261Ln89ttvnedbY401OvXawr5RMa/P9tf5008xueyywqSq1mwFpu4KWlvmk7uC1ovp8mI5cP+vLfMJ4V0nILNYDsByANYHCMp2QYsVbJyuMOrscuAuJInie2Ta0tXWxkL3+m1eJyB7WA4sDGgPOeSQDt1v3rx5su666yZd17dv36a2CBq09u/fv8Xtv/32m/O/yn17eXm5c6m3b7bZZk5FrFFdXS2PPPKI7LTTTk0BbVlZmVO9q4HyyiuvLKeccopTaduaPn1KJTfXkvLEDOvbt4fYLGWxkYKCHtK7d3aeu8eKWZOfnyPl5XbMpz59mn8vKyuQ8vIC35eDkpLEZXFxoZSXZ7cNBaK3TkB2sByA5QCsD2DjdsEdCvXr18OqM92ioKPLQX5+8++27EdlU1lZ4jI/v1hWRBehY8s6Af5iObAooO0o7RObWuGqf2v7AROqtna73mb+dt+mzP8bOjDYueeeK8uWLXN63JqAVh9j+PDhTq/al19+2Rk0THvdatuDdCorl4X+iJC+Pv0wzZ+/xOpThRYtSl7x//bbUmloyM4Ez5+v3/g0fWyQiopEv2S/1dfrsl/Y1P+5oiL5M+DHclBdrdNTIMuWdX964J+grBOQWSwHYDkA6wPYvF2YP1930hLpl06TLS2/wq6zy0E8rvtQifS8omKJRE1pqfaly5fZs6uloiJcfQ5sWyfAH1FbDso7cKApMAGt9p9NDVP176IVDTVbu724uDgpjNX7md+V3m7U19fLOeecI2+88YbcddddTVW1J554ohx22GHSq1cv52/tcfvFF184VbatBbQqCguZeZ1Beq319dmbXncPWlvmUeogYV5NV3eWA3cPWlvmE7qO9xEsB2B9ALYLsPX7gXsabJmmKOnoPHcXO0XxPerdO/Giv/02R779tnlmaPyxyirhmCF8/sBykCwwxwsHDBggFRUVSdfp36ZtQWu3a8iqtynT6sD9uwlh6+rq5LTTTpPXXntNbrvtNqe/rZGTk9MUzho6mNicOXM8f53ITkCbLSagtenIvOlnZNN0MUgYAAAAssEd9oX9jMcwnOIfVX37JhbUqVMLZNiwsqafwYPL5LbbXP0fAISGJfFM+wYPHiwff/yxxFdsUfXyo48+cq43t3/44YdN99dBwfRHr9eAVgcMc9+uv+t1JuC98MIL5Z133pHbb79dhg4dmvTc2vJg4sSJSdfNmDHDCWkRPCY0zeZz2dTbqqgoeZAwGxDQAgAAIBsIaIPhhhuqZdCgBvn736skinbbrV5WWaVRSkvjTT8FBYn9uPfes2QnDoCnrG5xoFWuPXr0cNoY7L777nLdddfJ5ZdfLgcddJA89NBDTl/aPfbYw7nvwQcf7LQh2HzzzZ22A3q/HXfcUdZYY42m26+99lpngC+lj3XkkUc6v2sw+8QTT8gll1wia665ZlN1bW5urvTp00dGjBghZ5xxhgwbNkyGDBkizzzzjBPw6v0RPNkMaBsb7QpCba2gjfLpSwAAAMgevm8Gw6BBjfLOO3aM4eGHLbdslE8+WZZ03RNP5MnxxxdLZSWl30AYWR3Q6qBckydPljFjxkhZWZlMnTpVLrroIqf36/rrr++0IihZMfy7BqcamN54442yaNEi2W677eTSSy9teqyjjjpK5s+fLyeffLITvB5wwAFyxBFHOLe9+OKLTVW0+mOsttpqTsuDXXfd1XneW265RX755RcZNGiQ3HHHHbL66qtnfZ6g++rrdYMWj2wFrY0BLRW0AAAAyO73TyoDECx9+iSWWS8C2gceyJd582Jy2mkM0AzYwqqA9uuvv27z780220yefPLJVv9fg1z9SUdDWW1TkNqqQGmw21417NixY50fBF92e9DGrApCUwcJe/99O5JjM38aGzkaDAAAgMyhghZBtdJKif24hQu7v890+umJwdb33LNe1ltvxWmfAHxlUWwEhLkHrT1H6N1h8fz5dgSiVNACAADAj++fQFCsOHlYqqq8W3gXLfLsoQB0EwEtIiebFbQ29qD1coPu9SlmVDQAAAAgk8z3TQJaBE1xcWLhra72Zh818bt9+4ZAVBHQInKy2+LAvoA2L6+5mrd3bzsqe6mgBQAAgB/fP4GgKC5uLrhxh6zdOaOUAhnAHgS0CL3tt69P2xc2G8zGz6YetDvv3CA9eiSC2cmTu3n41SN8QQYAAEA2EEgh6BW03a2iJaAF7GTVIGFAJpup+9uDVqyRlycya9ZSsQkVtAAAAMgGWhwg6BW0poq2pCTe7TNKOWAB2MOiuj4gM1I3OtltcRCzLqC1EQEtAAAAsoGAFkGlZ2UWFiZ2bququv447vYI77zDjipgCwJaRC6g9aeC1o5er7YioAUAAEA2ENAiLH1ou8q9P3zNNYUeTBUALxDQIvRSG6j7MUiYTT1obURACwAAAAAd60PbvR60jJAH2IgetIhcBe1//pMnixZlZ6P04YeJU0ZocdAx9EACAABAJlFBizBU0C5f7k0FLQB7ENAicqHf1KkFWZ+GQs4caRMVtAAAAMgGAlqEoYK2Oz1oCWgBOxHQIvTi8eSjizvuWJ/1cPaYY2qz+pxBQ0ALAACAbCCgRZAVFXnbgxaAPQhoEbkK2kce6cbhRmSE6dFLiwMAAAAASK+kpPsVtNkckwVAxzF0EUKP0C84FbSpA7oBAAAAXmLfAGHoQdudClr2uQA7EdAi9NwboMsv78Zwl8h4QAsAAABkEi0OEGTe9KBl5wuwEQEtIvMl7JJLquWYY+r8nhykQQ9aAAAAZAMBLaJeQevuQTtsGP0OAFvQgxaR+RLWu3dKM1pYg4AWAAAAfnz/BKJWQevuQTttWp7ccEOBZFtpqciyZemf98MPc+Tkk2tl6FD63yFaCGgRehwlD84gYY2NfFMGAAAAgHSKirzvQXv55YU+zezWn/eFF/Jl7twlWZ0awG8EtAg9swEyISDsk5ubOBLMiKIAAADIJIo3EGTe9KBN/nu//eqktDS7Z5sWFRVIdXVti+sfeCD71byALQhoEXp8CbNfwYrtcF1d8vvGqWcAAADwEvsGCLKSksTl0qUxqanp2mPU1CRX3152WY3075+9gFb38crLC6Sioqbp82g8+WS+LF/OWZWIJgJaRAZhn73y85MD2jffzJVjjy2Wa6+tln32oXE9AAAAvMW+AYJcQfvII/nOjxdKSuwZqyWPhAoRxknfCD1aHAQpoE0cLR07tkQWLIjJUUetGKYUAAAA8EA8TnUegmvo0AbPA1XT19YGubl+TwHgH45PIPQ4jcl++fmJLxm1LdsQAQAAAJ5h3wBBNnhwo3z99dJu7zc9+2yenHpqsXVVq4mxSRIHUWh5h6ix6KMIZAZfwoJTQZtukDBtgF9MIS0AAAA83Tew57RuoDMKCxM/XowBYht3Be306Tnyn//kyQkn1DbtL7o99FCerLRSXHbfPWXUMyCgaHGAyLQ4oM+UvcwGN92R4Kef5jgSAAAAvEHxBiCyzjordpIts8cezRU7u+1WKpddVih33NEynZ05MybjxxfLuHErRk0DQoCAFqHHlzD7FRTEk3rQus2bx2oKAAAA3qJ4A1G2+eaNcscdVfLyy8vEJuec07Ji57PPWjam/eGHnBb7+0DQUZqGyAwEwJcwe5m+R3V1LW/LyWGLCwAAAG8Q5gAJo0al6S/ns3QDoC1Z0rKIZ/Hi5usaGuzqowt0FaVpCD1aHNjP9EBKF9CysQUAAIBXCGgBe7l70BovvpgnN95Y0Gpom24fEggiAlpEBpWYQaigbXl0NIe1FAAAADxC+zMgWAGt0l60btXVzb+nG2gaCCKiD4QeX8KC1IO25W16ygoAAADgJdqfAfbpaHGOe7+RClqEBQEtQo8WB/bLXzEwZ23LnvAEtAAAAPAMLQ4Auw+c5Oa2PwZJbW3zmZf19S3PwgSCiIAWoUcFbXAC2nSnpzQ0sMEFAACAN9g3AILZ5sCNFgcIIwJaROZLGL1M7W9x4D4SatDiAAAAAF6jxQEQ3IC2qopBwhA+K4bmAcKLFgdBGiSs5W00fQcAAIDXCGiBYAW0b7/dfMP337tbHGRjqoDMI6BF6NFnyn4FBYlLBgkDAABAJrFvAAQzoB0zpiTt9XV1Gta237cWsB0BLUKPFgfB6UGr/Wa1pcGwYfUybVpi9USLAwAAAHiFHrSA3RKDhLVsfbfBBg1Jf8+YkdtqkQ8QRAS0CD2+hNkvP7/5iKduYE3LA8WonAAAAPAK+waA3dKNHfPmm8tkww0bk64bMqRUfv45hxYHCA0CWoQeX8KCU0Fregi5+whRQQsAAACvfPhhoupOgx0A9nEX6xjFxfFW73fCCcVSUhLv1L7nhAk1MnJkckUu4DcCWoQeLQ6CFdDW1po+QgkEtAAAAPDKxIlFzEwgAOOTuPXr1zKAXWutRvnhhxz59tvOH2y5554CGTmyqquTCGQEAS1CjwraYDSCj8XiEo/HnHC2yrWtJKAFAAAAgGjo2zcus2c3//3UU8ultLTl/e6+u8qpiG9M7nzQprfeypMpUwroWwsrEdAi9MwKO9ayzzgsoe+NHimtqUn0oK2qan6z3O0OAAAAAADh1adPcrXs6qunT2DLykR22KFzbQrmz0/sZ3Ym1A2Tb7+NybJlMdl004jOAMsR0CL0tCpTEdDaTXsIaUCrLQ6ooAUAAACA6EltZ6BnW3rFPFYUA1o9s3ibbcqc32fMWCJ9+vg9RUhFZ3SEHi0OgjVap75f7grahgZKnwEAAAAgCo45pjZjAa3Z54xiQLtsWfPvc+cSBdqIdwWhR4uD4AW01dXN19PiAAAAAACiQU+/P+GE2hb7iV4wjxXFcU4WLGgufMrLaznoGvxHQIsIVdCyErKZaUGhg4TV1jZvPKJ4dBMAAAAAosrdnjAzFbTRO0vz9debO5y697dhDwJaRCag9fLIG7yXk5N4oxYvTt5YUEELAAAAANHbh1e5ud4VWpnHimIR0I8/Nu9n67gvsA+RFULPBHw6CBXsP0paUZEc0Ebx9BMAAAAAiKrkgNa7x41yD1r3OC81NVTQ2oiAFqFnAj4vV+zIXEBbWUlACwAAAABR5Q5o6UHrjaqq5t/r6jx6UHiKgBahR0AbrIDW3bxc1ddzdA8AAAAAoogKWu8raGlxYCcCWoReQ0NiRUSLg2AEtDU1ydfT4gAAAAAAoikTAW3UK2gJaO1EV05EqAetd83F4T2zsUwdFIxBwgAAAAAgOjLVg9Y8lvvxbaLBcabC06VLY0m/uwPb/HwK2mxAQIvQM0fHvOxdg8xV0Kb2w4liA3cAAAAAQHR60P72W0xGjCiRiorMBxcnnlic9HfPnnH517+Wy0YbsfPtJyIrhJ5Z+dLiIBgBbWrPWSpoAQAAACA6MlXhaipoGxvtG+fk/fdzsxLOprN4cUw+/JBR1f1GBS1CzwR8Xp4agey1ODA9hAEAAAAA6G5RkI1naVZWJiZul13q5bbbXP0HPFRUlDhj1V1BfOKJRfLCC/lWVhVHDQEtQn/kzQR8BLTBbHHwwQe5smSJSI8evkwWAAAAACAUFbSJB/7uuxznOcw+qA0WLEhMTP/+jVJWlrnnST2zuKAgcUlA6z9aHCDU3EfGCGjtZjaOZsOQn9+8Vb7wwkKfpgoAAAAAELZ+tv/6l131iiag7dUru8/b3PYhu8+LlghoEWruo0B5eZYO1YiUCtpY0pE8048HAAAAABB+maqgdQe0n35qVxxWtaKrQWlp3IpWg8g+uw4ZAB5zr2SooLWb2TCYFgca0C5b5u17p0cFly+XTp0yQnsFAAAAAAg+937l99/nyKxZ9vQ4+PzzxMQVF2f3eU3LA1oc+I+AFqFGi4PgVdCaUL2gQI8cets/+OCDi+X11/Pko4+Wyuqrt39k8pVXcuWQQ0rkjDNq5Nxza72ZCAAAAABA1ito3T1nn3km3/mxTXFxditoTV/exkZ7wuqoIqBFZCpoU5thw+6AttDVdtargFbDWfXYY/ly2mntB67nnlvkXF5/fSEBLQAAAAAEWOp+Za9e9rRBXLQo5kurATNPaHHgPyIrhFp9ffNRIFoc2C0nJ570niUqaBN47wAAAAAgGrLRg3b69KWy6qr2BLT9+/dwLquqslvJauYJLQ78R0CLQFiwQOSii4pk2LAGOfTQFU1KO8CsZGKxeNLKGDYPEiYtBgn76KNcOfTQ4oyc2gIAAAAACD/3fqB7f9PGwcKyhR609iCgRSDcf3+BPPRQvvPTlYCW9gb2Sx09MrU5+ssvs7oCAAAAgLDLVAWtu0rUfcamLb1ntXp2+HDXRGaBOVvVPX4P/EHigUD4+edY0sq6oxWQZgXMKfLB60Hbr59uIZqbBN1wQ/cOJX76aa7ceaelh0kBAAAAABnl7rNqWwXte+8tk5kzc2S77Rp8LZSCfwhoEQjLljUnsnoKfEdXpmYlQ0AbHHV1ife6vDz5iObBB3dvi7HyyvGmgPa772Ly1lttjzxWVmbXEVUAAAAAiILsVNCKVQYMiMuAAdkNZ91ZSUMDfQD9RkCLQHD3Yamp6fjK1JTpE9DaL7U5eVGRt4/fu3fzVv6f/yxwfgAAAAAA0eBufcgYNWaeJPaTaXHgPwJaBO4IWk1NTHr06Nghtfr6WNJKB8EZJMzrUH3w4EbZYIMGmTEjVzbcsO0jk3PnxmT+fEaVAwAAAICwVNBuvHGjHHporay6KvmAYfa7aXHgPwJaBIL7aI5W0HYULQ6CI7X3jW4o/vCHevnPf/I8C4Dfemt5h+57xRUF8re/FXryvAAAAAAA/wNa3Sf86187EShE8ExW+IcSMQSCe2XRmYCWFgfBHSQsNzfu22kWtMQAAAAAAIRdcw9av6cEBLQIhMbG5obV1dUdb15twj53rxnY3uIg1rShyNSR0/awvAAAAACAP8aOTezIa4s6ZGffl4DWf8RWCHWLA7OSoQF48E6tsC2g1WWQ5QgAAAAAMmubbRrk3XeX0is2q/vhHS+EQ2YQ0CKALQ46U0FrBgnLxFQh04OE+dfiIJ62GrugwJfJAQAAAIBIGTiQgbyyue9LBa3/aHGAiPSgZeUevB60ya0t/JgWNxMcAwAAAAAQBqaYzeyHwz8EtAh1iwN60AYxoI35XkGb7vQONlgAAAAAgDDp2TNRzLZoES0O/EZAi5C3OEgemRD2isXiKS0O/Kt6Tnd6hxm8DAAAAACAMOjbN7HfvWAB+7t+syagra2tlb333lumTZvW6n2+/PJLGTt2rAwePFj2339/+fzzz5Nuf/bZZ2WXXXZxbj/ppJOksrKy6bZ4PC7XXnutbLPNNjJ06FC5+uqrpdFVnrdgwQI55ZRTZMiQITJixAh5+umnO/XcyCx3JWV1def/j4A2OM3Jk1sc2BPQUkELAAAAAAiT3r0TAW1lJQGt36wIaGtqauSMM86Qb775ptX7LF++XI499ljZaqut5IknnnCC1OOOO865Xn366acyadIkOfnkk+Xhhx+WxYsXy8SJE5v+/+6773YC3JtvvlluvPFGeeaZZ5zrDL3vkiVLnP894YQT5Pzzz3cesyPPjeyect6VCloGCQvmIGHnnZfoZ3HUUbVZnZZ0wTA9aAEAAAAAYdKzZ+JyyRICWol6QDtz5kw58MADZfbs2W3e7/nnn5fCwkI5++yzZZ111nHC2NLSUnnhhRec2++//37ZY489ZL/99pMNNtjAqZB988035ccff3Ruv++++2T8+PFOyKpVtBMmTJAHHnjAuU2f+/XXX5fLLrtM1ltvPadSdtSoUfLPf/6zQ88Ne3vQmmDXVGfCXuY9isebe9DusEODzJy5RK64ohNvugcIaAEAAAAAYVdQkKigrc1uTRTSWDFem3/ee+89GTZsmJx++umy+eabt3q/Tz75RLbcckuJrSiz08sttthCpk+fLmPGjHFuP+aYY5ruv8oqq8iqq67qXF9QUCC//vqrbL311k2362P9/PPPMnfuXOc+ev/VV1896fapU6d26Lmjav78mNx3n8i8eQUZf66PPmpuIvvmm7lSVCRy0EF17bYuMKeq5+X5188UnaugNcx7a47o+R3QJgYvYzkCAAAAAIRDwYo4h4DWf74HtIccckiH7jdv3jxZd911k67r27dvU1sEDVr79+/f4vbffvvN+V/lvr28vNy5NLen+985c+Z06Lk7GjiFzV135cvVV+tvhVl93hdeyHd+yssbZffd0zQLTRO0aYuDsL8ffjHztbvzN7XKWQNav96zdD1odYPFMpSdZQHBxnIAlgOwPkBQtgs2TlNY2bwcILtYFuxSWJg8KHa2PqMsBxYGtB1VVVXlVMK66d86uJiqrq5u9Xa9zfztvk3p7e09dnu3p9OnT6nk5ob7vPoTT0yEVpluxXvnnekDs0WLSmRFzt6q4uLEZVFRnpSX98jMBMLRt2/35m/KR0xWWqlIysuLfN1IJSttd3mDN8sCwoHlACwHYH0AG7cLu+wi8sorIiefrEU7dkxTlNiyHMB/LAt2yM9v/r1nzx6t7AtnDstBAANa7QGbGojq30V6rnsbtxcXFyeFsXo/87vS27v62Ob2dCorl4X+6GBZmchf/9pD5s9fIvEMnvn9z3+WydKlLWfmggXVUlGxYkSpVixYoIt4sTQ21ktFRVXmJjLCdDnXlWp3l4P6+uKkVZIeGKmoWDHKW5YtW6brieTE+Ntvq2TTTf2ZnqgtCwg2lgOwHID1AWzeLsRiie+c667r33fNKLJtOYB/WBbskqhnTBw4+eWXJdIjS8dQdD3Qr1901gnlHTggGJiAdsCAAVJRUZF0nf5tWhO0dnu/fv2c20yrAtNn1rQ9MLe39r8dee7WRGEhM68zk6+1rpUMtrY21u7zmkHC9HT5qLwfQV0OUg9oaMsDv96zdD1ojzuuSEaNWurH5AROptcJCAaWA7AcgPUBbNwumGnQ7542TE/U2LIcwH8sC/ZV0L79dm67bSS9cNJJRfLee7nyxRcsB26BOQd/8ODB8vHHH0t8xdpcLz/66CPnenP7hx9+2HR/HRRMf/R6DVh1wDD37fq7Xqchqw5OpgOGaT9a9+1m0LL2nhuZVVOTvhS5I02sly1LXJaU8C0gqIOE+eHkkxnCEgAAIIzcAS0ARJ17LJiTTlrRIzLDHn00X374IUf+9a+sPF1gWB3QapWr6R+7++67y+LFi+Xyyy+XmTNnOpd6CvQee+zh3H7wwQfL008/LY8++qjMmDFDzj77bNlxxx1ljTXWaLr92muvlWnTpjk/1113nYwbN865Te8zfPhwOeuss5z/1cd49tln5dBDD+3Qc8MfKxaNNlVWJr559elDQGu7dIOE+WXAgLjk5MRbVGOn64UMAAAAAEDQZbu6PTUDiDqrWxxoaDp58mQZM2aMlJWVydSpU+Wiiy6SRx55RNZff3257bbbpKSkxLnvkCFD5JJLLpEbb7xRFi1aJNttt51ceumlTY911FFHyfz58+Xkk0+W3NxcOeCAA+SII45ouv3qq6+WSZMmyYEHHui0Nrjiiitks802c25r77nhj5deymsKYFvz/vuJlK93bwJa29lUQWs2FqmtDrRq2ww8BwAAgODh9HoASK+wMLu5SZ7ViWT2WTU7vv766zb/1sD0ySefbPX/NcjVn3Q0lJ04caLzk07fvn3l1ltvbfWx23tuZN9XX+U6Px2xxhppmorC8oDW31B9v/3q5bHH8mWTTRrk888TyxkBLQAAQLAR0AJAehtu2JjVdbDfRVm2sSqgBTrj3HNrOnQ/rZ4dM4YRWm2X2lLA75X11VdXy/Dh9bLrrg2y0UZlrn7IVGMDAAAEHT1oASBhp53q5fXX82TjjTMf0NbX27PPbxsCWgTSgAGNcsYZDOQUZn73oykrEznkkMTWo6AgLrW1Mamr83eaAAAA0D0MEgYAybbcssEJaGs6VgPXLe7nIKBNRkteBFJ+vt9TgDAPEtba8paNDRYAAAAAANlSUCBNLf0yzf0cNu3z24CAFoFEM+nwKSpK/rtHj7h1zdLr6toelA4AAAB2o4IWAJLpGaNKzxrNNPapW0dAi0DKz7cnvIM39t8/uX9Anz5x6ypos3FEEQAAAJlDQAsA/lXQus9KbWjgnXCjBy0CiQra8NHB3GwNaAsLE5cEtAAAAACAMAa0//1vrhx8cHFGn2v58ubfCWiTEdAikExghvBIDWR79BALK2hpcQAAABBkVNACQLJVV210LisqcuTVV7N3oj0BbTICWoSi2hLB17dv83t6/PG1ErMoC83LS0wbGxAAAAAAQJiMGNEgDz20XObOzc5O+PjxiSrd+vqsPF1gENAiEP1mUxtJ23T6O7zRs2fz7+uumziCZwszuiQbEAAAgHCwqRgAAPyUk5MIabPl4Yfr5Z138iiASsEgYbDeRhs1tlltifB9Se7VK25lz2MqaAEAAIKNFgcAYEcBFPvXyQhoYb3bbquSESPq5fe/b65//+Mf63ydJmTG5ZdXy7771smee9ZbGdBSQQsAABCOgBYA4A/OUE2PgBbWW3vtuDz0UJVsvHFzJe2mm9p1Cjy8ccwxdXL77dVNg3LZtwHhXDgAAIAwoMUBAPiDCtr0CGgRGIsWEY7BHwwSBgAAEA60OAAAf82fn8h2nnqKd8KNgBaBYdoabLVV9ppXA4oWBwAAAAAAdN/HHydOUf3Xv5ibbis6KwL2+8MfGuTdd5fKqqvSOArZxSkYAAAA4UAFLQDARlTQIlAGDoxLUZHfU4GoVtD6McrkokUir7+eywiXAICMq6oSee21XKmuZmYjvAhoAQA2IqAFAIsHCRs7tkT++McSmTrVspHTAAChc+aZRXLQQSVyzjkcDQcAAMgmAloAaEdubqKtRn199mfV9OmJdPihhwhoAQCZ9dhjiW3Ngw+yzUH4K2gBAP44/fQa53LQIN4BNwJaALC4xYFRV5f96l0AAICwIaAFAH8NHtzoXJaX8064EdACQAcDWj8qaI26Ov+eGwAAIGxiHPsGAF/k5fl3hqrNCGgBoMM9aP2bVX5W7wIAAIRFPJ5IZgloAcDf/Wv2cZMR0AJAh1sc+FdqQQUtAABA99HiAAD8lbMiiSSgTUZACwABOAWD0z8AAAC8QwUtAER3jBcbEdACQAc3ILW1/s0qBgkDAGRafj7D2yP8TAUtAS0ARLeFoI0IaAGgHSutlPgmv2iRfy0O2HgBADItP595DAAAMosWB+kR0AJAO/r0SQS0lZX0oAUAhP+MESAKYjEqxgHAzxaCtDhIRkALAO3o3TuxAamoyG5Au3hx8+/19f6FwwCAaKDFAaKAQcIAwF+0OEiPgBYA2tGrVyKgXbYsuyHps89SygQAyB4qaBEl9KAFAH8DWipokxHQAkA7iooSl1VV2Z1V9AIEALDdAbzFIGEA4C960KZHQAsA7SguTlTQLl8e8yUYNiors/r0AIAIV9DW1Pg5JUDm0OIAAOz4vkEFbTICWgBoR3GxPxW09fXJf0+YkJLYAgDgoYKC5kGT7rknn3mLUKPFAQD4gx606RHQAkA7SkoSO6zV1dmtoK2uTv77v/9d0awHAIAMV9DOmsVuAsKJFgcA4K/c3MT+NRW0yRiBBgA6WEG7fLnI//6XvR3WH37o2nMtXCiy0kqeTw4AIEIBbUmJvdsV3R5r9U1hod9TgiCixQEA+ItBwtIjoAWADvagra+PyfDhpb7Nr4aG9it49ZTUs88ukssuq5Zjj63LynQBAMLBPThlUVFi23fXXfly7rlFMnlytRx1lP/bFe2Nu846ZdKrV1xmzFjm9+QgwGhxAAD+oAdtegS0ANAOrRoaNapO3n4715dQdtGiRDBbW9v+/TWcVeefX0RACwDolMLC5h60q6yS+F3DWTVxYpEVAe133+U428bKyphzaqSpwgE6igpaAPCXfsfYZZd6GTSISNKNuQEAHaiwuOOOlIawWaKh7Oqr92j6HQCATHH3gksdqNJGdXUEtOg6KmgBwB85OSIPPlgl5eU9pKKCd8Gg+z8ABOR00460OAAAoKumTctLCj9tF4QQGd74/PMcOe20Qvnll+5/F6KCFgBgIypoASBA1R26U0HFBwDAa7/+Ggtc+BmEEBneGDEiMQbArFk58swzVd16LAJaAICNqKAFgACp9qfTAgAg5Bobk//WgTFtn866OjunEZnz9dfeNR3mgDcAwCYEtAAQIFWdKBqZMSOHKhEAQJeqCl9+OU9ef705DMvJSbmDT9yVvUGo8oW9yzoBLQDAJgS0ABAgVVWxDlfXbr99qTz8MJ1sAADtSw07338/V/74x5KmvwsK7GtrQIuDaJgzp/m7jxehKi0OAAA2IqAFAMtNmFDToRYH7h0Y4/bbLdmjBgBYraGh5XWbbNJ85dZbp7mDD9xtDaigjYb/+z/v2hq4UUELALAJAS0AWO7ss2tlwIBE073ly1svHVm8mF58AICuSddz9rXXlsuNNyZ66+Tn2zFn3aEsPWijYcECdwWtHa02AADwGue+AkAAFBcnLv/852IpKUm/c5IuvKU6BADQEa1Vo+bl2dVOwD0d06fnyAYbpIxuhtBZtCgzLQ74jgQAsAkBLQAEwKBBjfL99zkye3bnTnxg5wMA0JUWB0cfXZtUOWtLOwH3dIwfXywHHbTEz8lBFixblpnH5TsSAMAmBLQAEAC3314l06fnSmM7hUKPPJIvDz3UfB4qOx8AgM4EtKuv3iiPPLJcBg6Mp1TQxqxtxYDoYJAwAEBYEdACQACUlIj8/vftD9Ayf36MgBYA0OXKVA1k1123uZVOfn7i97lzY/LAA51vRNujh8iSJd41sP3kk+QzSboyTZ1VVSVSURGTNdZov//pkCENstFGtF2wGS0OAAA2IqAFgBDJTRnomApaAEBHNDQkKlPz8uItDhAqbbFz+ulFXZyZXf2/9nV9mjKjZ8+4fPXVUmsGVQsbL7/X8B0JAGATAloACJHUHWt2PgAAna2gdRs6tEGOPLJWfvqpcz3QjYKCPKmt9baB7UsvJSZyp53qMx6EarXlyy8nnm/AgEYZPDh9day2IHrllTxZvDgm1dXNvXthbwUtAAA2IaAFgBBJ3bEGAKAzAW1OSg5bUCBy5ZU1XZqJepCwvLyHVFRUBToU69+/h3M5dmydXHhhYvC0dD18V1klcb+6uqxOXqR4uRxxEBsAYBN25QEgxC0OPvww16nkKbLrDFAAgIgcf3xRU3Wm35YsSZw7Xps+f0Q7gZ5uf2OxuMTjsRUDqgU4kbaM10FqkA8WAADCy45vhACAjFXQPv10nvzxj96eXgoA6J5ly0SeeMK+8+Bnzkw50gcZPbpO/vWvPDn88LZLY7WtgQbcphoZ3tNWEt2lIbqighYAYBMCWgAIeUDrxc4MAMBblZWJkKigIC5vvbXM99m7zTZlfk+CtW69tVquu06krKz9bbAGtLQ4yJzGRu/KaQloAQA2IaAFgBDJzW153l5qP8Gg+N//cuTjj3PkwAPr2YkCEDoLFiSCpj594jJwIOdc20yDvPbCWfdBUu1Haw6QPvJInmy1VYOsuy7vsS3tCWhxAACwEQEtAIS8gja1L21QDB9e6lwWF1fJqFGcLwogXObPTwS0vXvbEdztvHO9vPpqnmyyyYp0EZ2Wn6/vZXMP2scey5Px44ud2+bOXcIc9QABLQAgrLpUVzVnzhzvpwQA0G1hCmiNjz8O+AsAgDYqaPv2tSOgveqqajnllBq5+eZqvycl8Ntg0+Jg2jS2X17zsvqVFgcAgMAHtDvttJMcffTR8vzzz0stQ70CgDXShbFBD2h1VGwAaE1Q+2ybHrS2VND+7ndxueCCWtloo4DOUAvoIGHKDBIW1GXTZlTQAgDCqksB7eTJk6WxsVEmTJggw4cPl4svvlg+++wz76cOANDtCtqg9qANy/QDyJxnn82TddYpkxdfzA1sQKs9aBHOCtr6+uYBrc46q9CnqQo+d6WrF6G3CXk5AAwAsEmXdnv33Xdfueuuu+T111+XI488Ut59910ZO3as7L333s71FRUV3k8pAKBdeXnhGSQsLBXAADLnyCOLZdmymBx2WEngZrNOtypNtNtGaHrQNgezZrAwde+9BX5NVuB5PaiXebygfz8CAIRLtzZLAwYMkOOPP17+/e9/y+OPPy69e/eWa665RnbccUc55ZRT5JNPPvFuSgEAXWxxEOzqLHrEAQgjcxq8CfUQvgpaWhx4g4AWABAFaU6G7ZwPPvhAnn76aXn55Zdl8eLFst122zkB7RtvvCEHH3ywnH322XLEEUd4M7UAgMgNEkZACyBMXn01V+69N19eeCG/1fU2gsm8l6Zy1l1BC28CWi/CWvO+UEELALBJl74S/vDDD04o+69//Ut+/vlnWW211eSwww6TMWPGyCqrrOLc509/+pPTo/aWW24hoAWALEkXxgZxB8S9A0ZACyCdOXNcjSkD5OCDS9IOLIXgM+8lFbTeclcie1GVbB4j6AewAQDh0qWAdrfddpPCwkLZZZdd5NJLL5Vtt9027f0GDhwo33//fXenEQDQQel2Nrw+NTAb3FVHQQyYAWTe0qXhmMtU0IaH2V41NCQOHvDeeqOxMeZpQGu+Y3AAGAAQ+ID2ggsukFGjRkmPHj3avN+JJ57o/AAA/BskLIg98Gpqmn8noAWQTljCFXrQhofp+W4CQAJab7i/x3hx0Nk8BhW0AACbdKku6cUXX5S5c+emvW3GjBmyzz77dHe6AABdkG5nMIgB7Wef5YYuhAHgrfr6cKwcaHEQHibwM9tdwndbe9Am1h0cAAYABLKCVgcDi6/YIr733nvy/vvvS2VlZYv7vf766/Ljjz96O5UAgA5JVw3iPjUwKH78MXjTDMC/Svsgo8oyPEzgZwLaggJfJyc03KGstz1oA9gDCgAQWh0OaB999FFnYLBYLOb8XHzxxS3uYwLcvffe29upBABEqoLWDLCS+jsABHndkK76jwraMPagDW4PePtbHMQ8ezwqaAEAgQxozz//fNl///2dEPbwww+XCy+8UNZdd92k++Tk5EjPnj1l0KBBmZhWAEAXAtog7iDW1DTvgD3ySL588EF2hlreeed6Oe64AKY+QATV1sYCPQBiW73DEeyzWFoLaPV6+p52ntcHms37Q0ALAAhkQKsDgg0dOtT5/b777pONN95YSktLMzltAIBOSrezEcSA1l0ZN3t2jvOTDW+9lStHHVXHKcdAwFoclJc3Brbqlwra8PagTd3+1tcT0HoR0Orf3QlXzftCQAsACGRA+9RTT8kOO+wgvXv3ll9++cX5act+++3nxfQBADpBB9R6992l8u67uXLTTYUya1ZOIFscmAranj3jMnlydcafT6tpxo8vdvr1VlXpQcmMPyUAD8POoUPTlKYGpIKWgDaMFbSxVgPawkIfJizgUr/H1NaKFBV1/3NINTMAIJAB7bnnniuPPPKIE9Dq723RHrUEtADgj4ED4zJwYL08/ni+E9DOnRus04AXLhSZNSsxzfvuWydjx9Zn/Dl1J/rUU+NOb7uqqpj06BHAsmMgYtytUIJyIEoDulQMEhYesVg8KQBMXS7Tvf9oX2rQrQdnuhrQ6mOZ9ihU0AIAAhnQvvrqq9KvX7+m3wEAdluyJLEDMmlSkRxzTHD6qq63XnP5arZGwNbK4+JikeXLxamgBWA/raIzTMWi7erqWk5nQQEHhMLa4kDPynCrr9e/eb87KzXo1oMzXT2Q+vjjzbu/BLQAgEAGtKuttlra3wEAdvrf/3ICPzBJNk/9LS6Oy/LliQpadqAB+y1aFAtcZWK6FgfDhgWjPQO86UELbypou+q225qP/BLQAgACGdC63Xzzze3e5+STT+7KQwMAPKJho7vSTCtEg7YTVliYvUojM3+ooAWCobIy1mbwaaN0AV1ZmR9Tgsz2oE1c0uLAG6mVyO4BAjvL/b+5uVQzAwBCHNCWlZVJ//79OxXQ1tTUyMUXXywvvfSSFBUVyZFHHun8pPP222/L1VdfLT/++KMMHjxYLrzwQhk4cKBzWzwel7vuukseeOABWbx4sYwcOVLOP/98KS0tdW5ftmyZTJ48WV555RUpKCiQP/3pT3Lsscc6t910001pX9fqq6/e1NJh1KhR8vXXXyfd/swzz8h6663X4dcKAH4ISkCbutOV7QpalaigBWC7BQuaP6tvvZUnlZUiffqI1bpT+Qf7mYpME9BSQeuN1KA70Sok3u3e1VTQAgACH9DOmDGjxXXLly+XDz74QP7yl7/IBRdc0KnH08D1888/l3vvvVd++eUXOeecc2TVVVeV3XffPel+33zzjRx33HFOqLrPPvvIY489Jocffri88MILTgj78MMPOyHrpZdeKuuvv74Txp555ply6623Ov+v0/XFF1/IlClTnDD37LPPlvz8fPnzn//sBMIHHXRQ03NpwHvIIYfIuHHjnL8bGhrk+++/l/vvv1/WWmutpvvpoGkAYLvEgBj2V4qkVq9mM1Q2z1Vdnb3nBOBNiwN1002FctFF3Sity4KgVPrCm4CWCtpM9aDt+mO5/5eAFgBgk+YGhd1UUlIi22+/vZx00klO4NpRGuw++uijMmnSJNl4442dqtejjz7aqYJN9eCDD8qQIUPk1FNPdapmzzrrLOnRo4dTxao0PNWwde+995ZBgwbJlVdeKW+88YZ8++23UllZKc8995xTqbvlllvKVlttJRMmTJA777zT+V8NeHUQNPOjYfG6667bFND+9NNPUldXJ5tttlnS/fIYehdAwAbTsVlq9Wrfvtkbmr2oKN6iNQSA4BzQ0UH+bJcYJArh70Gb/n3m/fcmoO3OdxoCWgBAqCpo26KVr7NmzepUNW59fb0TvBoaoGrVa2Njo+S4Dm1qWwMNSI1YLOa0F5g+fbpT/WraHhjaaqFPnz7O7Rq2KvftWmU7b948J3zVVgbGd999J0888YT885//dJ5DzZw5U1ZZZRUpLCzs0nwBAD91p9okm1KrV7N5kgI9aIFgST2gU1Zm/1kCtDgIN9PT1ASKVNB6I7VVxHPP5cmXX3bt815R0bxvSQUtACCUAa22DPjtt9/kjjvukNVWW63D/6cBqbYJ0J6wRnl5udOXduHChU7A6r5+zpw5Sf+vz9mrVy/n9759+ybdrtW5ixYtkgULFji3Kb3dtCj49ddfnUu93R3QalXtNttskxQGa+is7RC0xYK2Y1h77bWdFgnu+6Rake2Glnl9YX+daBvLQTBo1U4sFrd+WUgNXPr3b8zaOqakJDF/qqtjWXvOMGKdgGwtB6kVtD162P+dJDWwU7ZPc3dEbX3QXEGbeM2p77e2PojKvPByOUidj9rOxAt6ImQU3w+/RG19gNaxLIDlwMOAdoMNNmiqLE0X1HamxUFVVVVSOKvM37Up56/ssccecuKJJzotDP7whz84rQ0+++wzGTZsmHP7nnvuKVOnTnUqcDVw1RYHSlsTaGi8+eaby+WXXy7XXHONc50ZFEx/N5YuXeq0Qvjb3/6W9NxaVath79ixY2X8+PHyyCOPOP1vn3/+eaeyNlWfPqWSm+tZBwmr9e3bw+9JgAVYDuxWUlIq5eX2Lwupo5nvumtp1ipcVlopcZmTUyTl5UXZedIQY52ATC8H9fXJf/fvXyjl5Xaf6WTWcSuvLDJ2rMiYMVqAEP7vUVFZH6wYl9g5406XxZRdHCkry962OEzLQep8HDWq69Pwr381/96/f4+sDkaKaK0P0D6WBbAceBDQap/ZdAFtWVmZ7LjjjkmDaLVHv8CkBrHm76Ki5B1k0+P2lFNOcQbt0mB23333dUJVpeGttjnYa6+9nN6w2vZAw2SdLqXBsYarWh2rvWvPOOMM+fjjj5tuV//5z3+c59UA2E0HHquurm66rw6G9tFHH8nTTz8txx9/fIvXVVm5LPRHB/X16Up1/vwlLU49QnSwHNis+Qvw3LnLpKKi0fplYf58TWNLXevSJZItsZgGOwVSUVEjFRUBadprIdYJyNZysHhxidYsyoABjTJnTo5UVtr/2Z03T0ssS6S0tFEuvHCZc11FhYRW1NYHNTWJ7ciSJYllsapK92WaE8B585ZLRUX0Rorr7nKQOh/vvLPr3w1eeilXDj20ZMVZlEtoc5BFUVsfoHUsC4jiclDegQPyXQpoNSD1yoABA5wWA9qH1gy4pW0PNCTt2bNni/ufcMIJctRRR8mSJUuctgU6YJhpqaADld1www3ObRoga5i67bbbNt2+5pprOoHq/PnznYB29uzZTo9b7ZvrDmh32mmnpN63SqfNHeTq4+tAZaktF9yisJCZ1xmV14rWsRzYbfTokozshOhq++yza+SYY+o8WRZSK+KyuW5x96BlndZ9rBOQ6eXAtETp1Ssu+nVMj+/b/tk167j8/Lj10+qlqKwPTIsDbWWQ7jXr+x+F+eD1cpDa4qA78zD1u1CU3w+/RGV9gPaxLIDlwIOA9v333+/U/bfeeutWb9twww2d8FMH8tpqq62c6z788EPZdNNNW4Skzz77rHzyyScyadIkJ5zVitZp06Y1tTLQCtlBgwbJ6NGjnb8//fRTJ6zVAch0wLGjjz5azjnnHGdwMPXGG2/IRhttlBS86v8cccQRLabzsMMOcyp2Tz75ZOdvfbyvv/5aDj300E7NCwDwQ2pvVy899VR+UkDbHQ0N/p16YMaA1B60AOxnTsDS3rPuv21mumqZIA/hYnZdGCQs872bu8p9hmPYz3YEAEQgoNWw0rQ40J6zRmrbA71Nr/vqq69afazi4mLZb7/9nJYBV1xxhcydO1fuuusumTx5clM1rVa7akWttk6YOHGiE/iut956Ti9Z7f+qrQ9U//79nb6y66yzjhPunnXWWXLwwQfLSisaC+pjXHfddXLeeefJzJkzZcqUKUn9crWKV3vNrrvuui2mc8SIEc79NVDWAcLuu+8+J/w1YTAA2GzatEQrGC+99VaenHVWkac7Tlp15BetaEtXxQvATuazagb4C0JAa9ZxK04aQ2graNMnf2xfuiYe9y5J5eAIAMBWXfp6ePfdd8tpp50mu+66q4waNcppU7Bw4UJ59dVXndvOPPNMJ8jsKA1dNaDVQbe0mlVbKOhjq+HDhzth7ZgxY2STTTZx7qcVs/p82r5ABwUzlbYaHP/8889yzDHHONdpf9oJEyY0Pc/FF18sF1xwgROqagXu+eefLyNHjmy6XR9TQ9p0rRW0qrampkYuu+wyqaiokMGDBzuv1V19CwA26tkzLmuv7f25ZN980+h5qOpnQGsCE9e4kUDkVFeLPPJIvowYUS+rr273Oagm7DLtSf7v//LkqqtEdtihQbbZpsHqaSagDafc3HjStqyxMTlYJKDtGi8PBGdr4FEAALIS0P797393AlNtF2D87ne/k80228wZ9Ov55593wtaO0iraq666yvlJpW0E3Pbff3/nJ53c3Fyn/YH+pNOvXz+59dZbW52O8vLyFs9naCWwDgaWbkAwALCRGThnxx0zUxJqqlDCU0GbuGQHGlF2880FcvXVhVJWFpdvv/W+8t5Lpkqxb99EKPbhh7nOz733NsqXXyYG4LJNXV1imvPy7A6/4U2Lg9Q+m+b9R+d4+T1jlVUyO2AqAABZDWi1T2trQaVWlrYVggIAsuO555bLk0/myxFH1GZ0RzR8FbTsQCO6/u//Ekdeli61/3NgDqYcdlitc0Dqt99y5KGH8mXBAnunnRYH0RkkLF2w6Oc2Lsi8DGjXXTcuN95YJf36cZAEABCCgHbllVeWN998U7bbbrsWt/373/+WNddc04tpAwB0w+9+F5dTT63NWqVQWHrQ0uIAUbbSSsEJLcz6on//uJx3Xq1UVMScgFYra7Vy0cYBgGhxEG4MEpYZqZXI3XXQQTSbBwCEJKDV9gWXXHKJM4CXDp7Vp08fpy/rCy+84AS3N9xwg/dTCgCwulLIC60NrJINtDgAghXQpoad5iCLOdBSUCDWIaCN1naxZYuD7E9TGHh5IBgAgFAFtIcccog0NDQ4rQy0YtZYZZVV5Nprr00aeAsAEM3RqoNWQWteDzvQiLLeveNJoYjNA+qYsNN8dt2js9sb0MZahMkIj9Te7KnBonn/4W8FLQAAoQlo1WGHHSZ/+tOf5Ntvv5VFixZJ7969Ze2115bq6mqZMWOGbLDBBt5OKQDAKplucVBQEPepgpYdaESXu4J28WL9W6yk653GRjPgVvJn2ObB/lJDZYRLc2/2WNpgsabGh4kKASpoAQBR0OG6iOHDh8tXX32VdN0999zjBLNbbLGFE86qr7/+WkaPHu39lAIArJKbG8/oIGG9emU3oDWjqlNBiyhzh5yVlfYerHCvK8xnNzmgtXPaaXEQbjk5ydtFE9Ca69m+dA0BLQAgCjoc0GqP2TrXtwptcXD11VfLr7/+mqlpAwBEuIL2wAOzWwJHD1og+fNsc0DrrpA11ai6TjJBGBW0sKkHbVFR4rK21t7PlM0IaAEAUdCtzmJxGgIBQGRlZpCw5t/PPTe754IS0ALBCWjd6wp3uwDzOba1UtHMX1ochJN5X80uknm/i4oSV9DioGtMOxMAAMLM4qEfAADRq6BN7ITttlu9FBZKVpk+lnV17AgiutzH3m0OaN0Vsuaz6/7d9oDW5sHX4N2BS/N+m+2Zrcul7agJAgBEAV8PAQDWVdCa/rbZZEZVt/XUaCDblWp2B7SxNitobe1Ba+YvAW04xWLpWxyYgLamxs7l0nYEtACAKCCgBQB0iQlFMtGD1o/Tf5t3oLP/3IAtglJBa9YV2nPWHXbaPthfcwVt9g9CwY8K2lhSiwNbl0vb0YMWABAF3Q5oY+ZQMQAgUkyVq2lLEPSAtrg48XqWL2e7hugKWkDrbm8QhF7StDiIyoHLWCsVtH5NWbAR0AIAoiDla23bTjrpJCkoKEi67vjjj5d8823YGZ201rupAwBYy1StZaLFgR+n/xYXJy6rqrL/3ICNQcgLL+TJ7Nld+zDq8Xv9elhXV5yR05Orq9sOaG2tVCSgjcqBS0kJaBO/vPRSnhxwQPc2cPrZOuSQOhk92tKjEBlAQAsAiIIOB7SjR4/O7JQAACTqg4SZvpGpoUs2K2irquytGgQyzf15rqjIkbfe6u7Rksx+mFdeOR6owf4IaKO1XTQB7eqrx+W990TmzMlxfrpLD5xENaBdc00Pv3QAAGCRDn9rnjx5cmanBAAgUe9Ba05LNgN2ZRMVtEBzoLTOOo1y5pk13ary69GjWJYsqcroAD/DhiWX8NveeYuANlpnlpj3e8yYOhk7tk4WLOjeAvrjjzkyeXJhUwV5VJj5qOuk44/nbE0AQDj5UKMEAAhTQFtd7V0iYk5L9rOCVqt4dTpc3XsAq3z7bcwJItdeO56xIGSHHerlgAO6XqGn01derlW49Vkdgd0MvmXrqO8EtNE6cGkudZs2YkT3+wF9+WUioLW1hUemmM/z73/fIL16+T01AABkhg9d/gAAYeAeyGvatFyPK2gl64qKmn+nDy1sNW9eTLbZpkyGDSuTiopYxoIQ2ytRW2Om29aelQS00dgupvag9erz1DwIXkA/oF1k5qMf/ekBAMgWNnMAgC5x73D++995nga0flTQukNhW0eAB375pfmD99tvmQtogxqEZKI3tpcIaKPZ4sCrgNYMQha1Clo+NwCAKAjo128AgE0VtGVl3pxPbAb28aMHrfv1NDREqzoJweFuKWJCIC8FPQgxQZi9LQ5igZ6/6GiLg1hGDniYA4mZ+OzbzMzPoFb2AwDQEXw9BAB0m1cBrZ8VtLrjF4vFk0KqTz/Nkf79e8iOO5ZYG/ggWmpd4+NkMqANquC0OGCFEkbmff3gg1xnm5GpFgfRraDlcwMACC8CWgBAl/To0byj1KuXVxW0/gW06QZ4OeigYufyyy9z5aefKN2B/2pqMhvQhqXFga0HVIJeoYyOVXqqr7/O8fzzZLaNepaHrct4JvC5AQBEAV8PAQBdUlAgsuWWiYTIqx1FPwcJS9c/sKKieTPpV2gMtN7iwPuDBkE/lZiAFn5avDh5sEmvg0V3+58oVdEGffBCAAA6goAWANBl/fs3JvWO7S7zOHl5cStG4HaLWs8/RL2CNpjleUFpcUDQFE6LFjVvC19+Oc/zAx7uA4VRCmipoAUARAH1QACALjOVrqbyNWwVtKWlcVm2LObpawRsDmiDHoQEpYLWPSghwqN37+YF79prC5v6mnvdgzZq26Sgt14BAKAj2MwBALpdzeNVJY8tPWjNzuBBBzW/MCpoYV+LA+8fP+inEgelgpagKZzGjElOTeNxU0Eb9zyg9erMlSDgcwMAiAICWgCABwFtLBQVtM0tDmItqtzq66OzMwx71dY2/56JEDLolWomoLW1gjbo8xftbxN33bVlaatX77cu37m58chV0NIaBAAQBXw9BAB0e8ASryr5TAjqHgglm8yOr3k97pCHClrYoKam+UBBJgKaoAchJggzvT9tY9YjBLThZbYjbl5+nswBTHrQAgAQLgS0AABrWhwsW5a4LC4WX5idaBOiuCsUCWhhg+rq5t9NpbeXgh7QmlPJ7W1x4O2gUbBPuvDdy0DenNkRpYCWynMAQBQQ0AIArBkkbMGCRGrRp49fFbSSFO64K2ijdDopojtIWNCDkKAMEpaTY+kEotvSLXuZqKDNxAEaW9GDFgAQBT4NwwIACFMF7X/+kyeTJ4uUlIgsX17Q5cf76accqwJadxXeZZcVytZbN8jvftcoBx9cn/EKuKefznNC4f33Jxl2mzMnJs8/nydjx9ZJWZlEusXBFVcUyhdfeJuk3nNP4vNLQJsZZp3i7m+N8Ae0Xn6e8vL0CWKRqqCl8hwAEAUEtACALuvVK7En+sEHuc5PQmG3T1EeMMDfgDZdD1oNofVHbbTRMtl888ydQ/3TTzE55phEn4chQ5bKwIFU2xljxhTLN9/kyvTpuXLDDa7z/SPY4mDWrBy5/vrufd5a8+uvwazOMwdO7G1xIIEOwGFPBW2Uzuqg8hwAEAUEtACALhs3rs455XrJksTeZ3FxgVRVuYaZ74LNN2+Qfv38CSRNaJKuB63q27dR5s/PkcrKzIZXP//cnN4k5i0BraHhrHrmmTy54QaJnNra5GXvqKO693lLdeediQraxYuDGdAGp8WB31OCbGKQsO5hcD0AQBQQ0AIAukyD1PPOq23aAS0vL5CKihprw5HujAC/6aYNTuXS/PkakmV2OubNa35+WysB/WYGlItyD1o1eXLKFR4FtEE/fdrWzw0BbfjF47EMtzhIXNbVBfMgSmsBrH42THVwKlqDAACigOP3AACskJubPAK8O+TRHce5cxM7xBdcUJSxebZokciRRybaG6ROA5JDEHeQHcUWBwUFmTsSUl8fzHkblAraTPewRphbHMRD1eJAD3hut12pbL55qVRWpr+Pea0mnAYAIIwIaAEA6EAPWt0pNoOY/fBD5jafTz2VXEJEQNu6r76K3teY6urmpKe1ajMvBLWCtrkKXqxEJWD4ZX6QsGB/RlP9/HNMvv02R+bNy5EZM9KPnme2yQyuBwAIs+jt2QAA0OEetM1hWEHizO+MS62KTNduARKqCrLOqKqSrCyTQQ1/GCQMfmOQsK5X67vXb+75abaD9G4GAIQZJ4oAALDCggWJncDjjy+SDz5Y1qLFgdf08W+8sUC22KJBtt++IW3oZuup2jY48cQi2XXXFWl6F+22W73stVcwkl5dXqZNy8tSiwMJJJsCnPnzY3Lrrfly0EF1ss46pn0KQVPYpavezsnx7rO6fHni8osvcmXkyO6t/2zg7um+fHnLA5LmgKm7DREAAGFEQAsAwAq//ppIdyorc+SyywqTwtGRI+vltde83Wy+/HKuXHFFofP73LlLnEsC2o7T9+mhh7qXyL34Yp7stddSCQKdVrfRozOXoga1B61NFbRnnlkozz+fL/fcUyDffLM0ZZAwgqawcgeKmThw8L//JdoA6LbjtNMyPGJlFrir9d09ttPNT3rQAgDCjIAWAIA0pk/PlbXXTqQpQ4Y0yBFH1MnEid4ODlZR0XKvvbAwtcUBb4/bzjvXy6uvNn99ueCCmi7NoGXLRK6/vlAWLkxUKQdh0CYzSJ069thaOe+8rr32KFTQ2tAa5N13E0HaokXN08IgYeG3ZIn/y15QA9qqqrYraG2qkAcAwGsEtAAAtBJQmQra0aPrWgxO4kWo16tXPOk0T62eTa0QIqBNlrqDfsopXasgW7w4EdDG4zFn3hcmCpmt1rNn8/Lyxz/WSZG3xwtC0oM23vT5nDcvJuXlcavC9+YKWr+nBJniDuSNTL3fX3zR8oHLyuKy5prBqdCuq2ueX999l9PiNS1d2nw7g4QBAMKMgBYAgDS0ascEtOl2rvVUzOLi7s26Hj3iSf1vBwxouVNNQJuZ+eF+73RgmiAEtKWl8az1JtaQJ4hMGPvww3ly5plFcu65NXLGGbXWLb8ETeFVUtLys5OpgwQ77VSa9vqbb66SAw8MRhm8+2DQlCkFzk9r+NwAAMKM4/cAAKyw+eYNaQNas3P90EPLPa0wdIdsZvTq1P6FDBKWmYBWB33Ly4u3elqtjdzLwiabZKb3xV13VcngwQ3y17+maQYZAOZgynvvJWoQrrzSruSdCtrwu+mmatlss4akoNbLCtopU1ZsLESkX7/GpB/znJ9/nnLKh8Xc29LU16M/bvSgBQCEGQEtAAAr/PnPtUktDlLDlB12aEh7WqYXYaPp+Zka0FJBm7n5YapoTThuO7PMDR1an7FTpvfeu15efnm5rLNOMCtobW8dQEAbfhtt1CivvLJc9tqrPiMVtGPH1juDSurPF18sS/o56aTaQK3TVG1tYuZstVVDi9ejP2ecUROYzzcAAN3BZg4AgDTVOTqKfWr1qp5eaXpcejGIkjtsNOFbQ0PynjwVtK3Ps+4qKkq8l8uX+1tBW1Oj4USpDBpU5vTGbY0J76kia51N/WbTIaCNDveAj9kKFouLg3VWgHtbmp+f/qAQoSwAICoIaAEAWEEH6XIHKenCFD013qsWB+kqaFMDSCpoMzc/zCBb2k/YT/femy+zZ+c4gwtdfXXrp+SbZYQ+jK2zPcwxy6/tQTK83Z5kL6CVAFbQJm9bU3FACgAQFZZ/jQUAwK8K2pY9aN338SKgdVfLmsdLDSCpoM1cQGvey9Sq5Wz79dfmr2OzZ7c+LWYZaS3IgP3BZ2NjLBBBMrrPPfBgtpZL04M2iBW07kDbjQNSAICocO2KAgAQbQUF8TZ70LrDsdResd61OGj9PvA6oI179l56JR5vPVgxQTIVZa1LF4S9/LI/AyZVVua0uvzm5gazxy+61uIgWwGtqaD1+6yArvSgNevjVBzMAABEBQEtAADSsjLR3WPWvXOd6JMXWxGoxrMwSFhwKqGywT0/Vlute2mtCTq96CfcHe4q6bYqpptbHBDutSZdmHPooSXiN/1cayUgPWijw48KWlv6aneGOTOg9Qpa1ncAgGggoAUAIE1Au3RpLO3pyF6GeskVtIlLKmg7Ps8efrh7jRbNqbN+B7RuHQloaXHQunRB2OabZ79EWisYZ8xortzVnqBlZQS0UeL+nGarCtQ8p03rtPaYbV9rZwZwxgAAICoIaAEAkJajSOtpl809aOMZGSTMHca2NkgYPWiTmflz//3LZb31vKmg9bvFQWcraAksWpcahD3yyHLZccfsv8E//hiTLbcsa/pbe4KWlcUZJCyiLXPc25BsHKAIUmsc0+KAHrQAgKhjiAIAACR9ZWK605FN1aXpGdsd7p3ol17KS9vSgIC2/fek+xW0/p4O7H6P2wpWCGjbl7pc+DXAUO/eyYHcHnuUyLbblsrnnycmiL6a4edHBa1Z3oMU0DafGUAPWgBAtBHQAgDQSkCbLhw1O5FenELqrty8555EAz5aHGQvoDWD0th0OnDbFbRtD6aDlpWKflUbl5Ym/z17do7MmtW80DIyffj5EdCa5wlSQFtb23brlp13Tqyg+/cP0IsCAKALaHEAAMAKqadYpgsDTeDjRYuDdGEcAW02A9r089xPHRskLGuTEzipy4Vflap6qvnMmUtkwYKY/PprYiL+978cmTChyNfpgl8tDrLznEGsoDXb0tYC2t/9Li6ffrpUevbkwBQAINwIaAEAMBvFlMrE5h60zdeZncgXX8yTH37oXsry4IMt90hTd6yDtKOdDV984d0p4ibMCFoPWgYJa11qEOZntXHPnvoTlzXXTCxgxcXN00JAG37uz2m2AlqzXDU0+Nu2pTNMu6DWWhyolVcmnAUAhB8BLQAAnaigLS1N7CjeeWfKnT1CBW3rvvuuOXTwsoLWphYH9KANRw/adNzTkq3ADnZsT7IX0MYDW0Hb2iBhAABEBQEtAADSdmWie+f6rLNq5e67455UXT7/fPMT/u53iT3q1MdlkLBm7h6eYW1x0JbmHrR+T4m9evWKWxvQut83E6QhvNwVodnuQRuUdVpHetACABAVfMUHAGCF1FMs01XQDh/e4Px4oX///BbhTWrlEwFt5irSTEhmgs+gtDhgkLDW9e5txyBh6bjfN1ochJ8fFbTmgESQthtm/UtACwCIOou+tgIA4K/UUyxNFVI2dq6//TZH1lyzrMXgY0E6VTWb74+pugpbi4OOBbRZm5zA6dvX3gpa97TYNF3IRsV0duayeZ4gbTeaK2gDlCoDAJABfMUHAMBsFPPSD16SrZ3rqqqWSXBjI80qDfcOfE1NeFocdL6CNvPTFFRlZcl/21Rt7EdgBzsOKNHioHXLliUui4sz/pYAAGA1vuIDALBC6imWqdWsmfTBB0ubfi8qEpkwoVBeeCE/UJVQmeYOL2tquh9cmypGvyto3a+LQcK6JzWQtSkIJaCN7gGl7A0SlrgM0najsjKWtvodAICoIaAFAKCV045NQJuNkOd3v0veOW1oSOy0fvedRQmTz8w8UdXVXrY4sKdKue0KWjNIGEFGa1Kri22qNnavX7IV2MGOA360OGjdggWJD0OfPqzXAADRxl4fAACtMAGtH2HKyy8nkqUpU1Ia40aYuyps9dXjnlW4edHPNhMhdCpaHHT+IItNvV5tmhZkXv/+2a+gNctYEAPalVYioAUARBsBLQAALg89tLzp99pa04OWHUcbuFsRbLtt9xvH9uqVuFy4MGZR64bW70dAG+yA1l353FalNMJh5ZXjMnVqlfzjH83blEwz26q2DvTYxmxni4r4UAAAos2iE78AAPDfiBENTpCip5MvXdEWltOR7WAG89poI29G9TKn1M6ZE5PKSvFNVVX631MR0HalxYE9oY87LCagjYbRo7Pb4DqIPWjNes2mgykAAPiBgBYAgFZ6fVZW5mQ0oNVT7OvqglPp5Lebb060e/jyS2/25Pv2TaQYTz2V7/zYoKoq1m5AbVNfVdvYXUHb/HuQAjQERxADWtNKKHWQTgAAooYWBwAAtGPw4Mzs7T76aJWUlzfKnXe2UTaJJm+95W0yqW0SdP7bpK3Bz0yYb1NVqG1S5w0BLaIkaAGtVpI3r9f8nhoAAPzFphAAgDbssEO9DBiQmUDs979vkC++WEYLBZ+svXbcmf9+hxnad3attXq0W0FLi4P2pYY8NgW07mnxe5lDOAVtkDBzVoB70EYAAKKKgBYAgDZkOuChv62/dP77HeIVJDo3OJYvj8nJJxelvd9XXyXK46g0a13qe2nTvHJ/1oMSoCGYFbQafN50U2LFcvLJtdZuZ9wDP9LiAAAQdRZ9bQUAwN4dXiBby9gjj7TdjLFvXyrNglhB67baaryHyNy6RPuoX3ppofP7brvVy3rrNVof0Np0MAUAAD+wKQQAwMKA9sYbq2T8+GLZaCPXOaAI7TL2wgvLnIHKBgxoO0hZeeW4bLcdy0RHe9DadoDllVeWycKFMQJaZES65X3OnJist57dA4QpKmgBAFFHQAsAQBtycvypdDNVkoWJIiiE3BZbNMoWW9T4PRmBZ2vFrLHZZnZWMiIccnNbbq8WLLC0v4Fr4MMgfHYBAMg0y+oKAABAEEfjBmzAadKIsnQVtPPn2xvQmhYHOkCYrX1yAQDIFgJaAADa2lD6tKU0O6sEtEDHUYWHKEu3vaqqEmuZFge0NwAAgIAWAAArA1oqaAEAXdluuNXW2l9BS+U7AAAWBLQ1NTVy3nnnyVZbbSXDhw+Xu+66q9X7vv322zJq1CgZMmSIHHHEEfLtt9823RaPx+XOO++UESNGOI81ceJEWbZsWdPt+vv5558v22yzjWy//fZy2223JT32PffcI+uvv37Sz1VXXdV0+3//+1/Ze++9ZfDgwTJu3Dj58ccfPZ8XAAD7+HXaJQEt0HkNjJ+GCEsf0Ir1PWhTB/cDACCKfA9or776avn888/l3nvvlYsuukhuvvlmeeGFF1rc75tvvpHjjjtOdt55Z3n88cdlo402ksMPP7wphH344Yed/z3jjDPkwQcflDlz5siZZ57Z9P8XXHCBvP/++zJlyhS5/vrr5aGHHpK777676faZM2fKIYcc4oTA5uekk05ybvvll1+c38eMGSOPPfaY9OnTR0488UQnFAYAhJtflT1mR5tNDdBxffrw3QzRlW5QSbsD2sQlFbQAAPgc0C5fvlweffRRmTRpkmy88cYycuRIOfroo+WBBx5ocV8NXbVy9tRTT5WBAwfKWWedJT169JBnnnnGuf3++++XP//5z06V66BBg+TKK6+UN954w6myrayslOeee04uvvhi2XLLLZ0K2wkTJjgVt8asWbNkgw02kH79+jX9lJWVObfpNG6yySZy5JFHOo89efJk+fnnn+W9997L4twCAPihrMyfwIcK2pY22yxRHnnHHRY3VYSvSktFiosJaRHdHsy/+11j4Foc0IMWAACfA9oZM2ZIfX29E7waGqB+8skn0pgyKoq2FNhss82a/o7FYrLeeuvJ9OnTm27X9gNG//79nUpXvf2nn35yrnPfri0M5s2b13SbBrlrrbVW2unU6dFQ1yguLnYCZfPcAIDw6tnTn+cloG3JVBP7FZojGAYOTP4OCUTJoEGpAa1Yix60AAA08+nEzQQNSHv37i0FBQVN15WXlzt9aRcuXOgErO7rtW2B22+//Sa9evVyfu/bt2/S7Vqdu2jRIlmwYIFzm9LbTQj766+/Opd6e1FRkfN8Tz75pNO7trCwUA444ACnYlaDYJ1ODXzd9DH1+W3sW5gt5vWF/XWibSwHCPuyoNVIfrym5oA2Fqh5msnlwBy71SqxIM2TKLJlfeD380edLctBlMyaldOijYDf87+15aC+PnFFfn7c92lE5rE+AMsCWCdYHNBWVVUlhbPK/F2bcrh3jz32cPq+aguDP/zhD05rg88++0yGDRvm3L7nnnvK1KlTnQrc1Vdf3WlxoOrq6mS11VaTzTffXC6//HK55pprnOu0X6253Qw2pqHrLbfcIl999ZVcdtllkpub6wxG1tp0pk6jW58+pZKb63uL36zo27eH35MAC7AcIKzLwmmnFUlBQVHWn9cco4zFcqS8PHjzNBPLgdm56927RMrLPX94hGR94D5dOoifnTAK23bBZt9/n/x3LFYg5eXJ+zG2LAfakkQVFeXyWY0Q1gdgWQDrBAsDWq1UTQ05zd9a1eq2/fbbOwN1nXLKKdLQ0OAEs/vuu68sXbrUuV3DW21zsNdee0leXp4cdNBBTk9Z00dWByMbP368bLPNNk7vWh1M7OOPP3Zu11YJ7777rlPNa9ofaN9a7XurAW1r09mzjfNeKyuXhf5IsL4+3cDOn7+EQWwijOUA4VwWEjuRa67ZKIsXJwajzLbFi/UgX6nU1zdKRYU/02DbclBXV6L1s7J06XKpqEj0o4Wd/Fwf1NcnlhNVUbEku0+OEG8XgiI5BF2ypE4qKqrFxuWgokI/pyUSizVIRcVyPycRWcD6ACwLiPI6obwDRQO+BrQDBgxwWgxoH1oNVZW2E9BwNl34ecIJJ8hRRx0lS5YscapddcAwrY5VJSUlcsMNNzi3aVsCDV633XbbptvXXHNNefrpp2X+/PlOQDt79mzJycmRVVdd1bndhLPGOuus09QyQaezoqIi6Xb9e8MNN2zz9UVhITOvMyqvFa1jOUAYlwU/X4s5yKen9QdxfmZi3jU0NM+bIM6TKPLjM2Tag5jnh//CtF2wXW5uXBoamqtEamrsmfepy4G2XzBV77ZMIzKP9QFYFsA6IT1fz8HXgFODWfdgWx9++KFsuummTnjq9uyzzzotCrS1gIaz1dXVMm3atKYWB1ohqz1kNXzVcPbTTz91wlodgEwHHNN+sl9//bXzv/oYb7zxhmy00UbOfR999FHZbbfdJO76ZqBtDgYOHNg0uJhOl6EtD7788sukQccAAPASg4S1pP143fMGSOfQQxOpz+67r0h/gAhxt/hQy5bZe0pfXV1i2vLySGcBAPB1F6e4uFj2228/+ctf/uIEqq+88orcddddMm7cuKZqWg1ilQ7u9dBDD8lLL70k33//vZx55pmyyiqrOK0PlA7ipX1l9XE+//xzOeuss+Tggw+WlVZayQl7tSr3uuuuc/5Xn2fKlCly/PHHO//7+9//3nmuq666Sn744Qd57rnn5Pbbb5ejjz7auX3//feXjz76SG677Tb55ptvnIHEtM+tCYcBAOHkZ0UPAW3rFbQ5OezMo3VHHFEnb721TO64w9/TugE/15PGggX2BrT19elDZQAAosj3GhQNOzfeeGM5/PDD5eKLL3Z6zO66667ObcOHD5fnn3/e+X2TTTZxglwd/GvMmDHOdToomKm0Peyww2TEiBFyzDHHOD877bSTnHPOOU3Po4+t9x09erTzGOeff76MHDnSuU3bIGj4qj1pR40a5QS5EyZMcAYeUxrG3nTTTfL444/LAQccIAsXLnQCXm2lAAAILz8DWneLAyS/H1TQor3PzgYbNErK+K5AJAPaTz/NlRX1LtYxLQ5yEy2jAQCItFjcfV4/PDNv3pJI7ABpo2MdgIOlKLpYDhDGZaF//x5Np0jfd58/e7ZffpkjO+5YKv36NcoXXwRrkLBMLQdbbFEqP/2UIy+9tEw235zk2mZhWh+g61gOsm+vvUrk/feTE88jjqiVq6+uEduWgwcfzJNTTy2WnXeulwcfrPJt+pAdrA/AsoAorxP69ethfwUtAAC2eeONZXLMMbVy/fX+7dCaKtEofGHpfIsDv6cEAOx0++1VcvTRtfLkk8ubrrvnHjvLyevrE6eK5OezoQMAII9ZAABAso02apTLL/cvnFX0oG3JtHsgoAWA9FZdNS5XXFEj8+fb34rNtDjIY48UAAAqaAEAsJEZCKux0f6d7GyhghYAOqaw0P6qVAYJAwCgGScJAgBgISpoWzLtHhhQBgDalp9v/xyqqUkcgGRAPwAACGgBALC2cb77tH5oBW1iptDiAADaFoTQs2rFuGDFxfZX+wIAkGlU0AIAEPEK2ocfzpPp0+3/SmDmRW4uO/MA0JGDfDarqkpMZHGx31MCAID/aMkOAIDFAa05rT9T3n47V045JbF3PHfuEglCD9ogBA8AgLZRQQsAQDP7y2UAAIigbFXQfvllcL4KMKAMAISHqaAtKfF7SgAA8F9w9soAAIiQbAW0pio1COrqgjP4DQCgbdXViUt60AIAQEALAIDVAW2mA9T6+mD0C9CgurExMa25uX5PDQDAqxYHRUXMSwAAqKAFAMDqCtpYRvvQZmMQMi/bG6j8fAYJA4D2DBmSOMLXv7+dK/qamsRBt8JC1ukAABDQAgBgoby8eFZCVHfwaXNYa9obqDyGOAWAdl12WaKHQHFiHEjrmO0P63QAAGhxAACAldw7rO5w0mvuFgrz58cCUkHr55QAQDCYdjC2Hnxj4EcAAJpRQQsAgOUBrTuc9Jp7x/2iiwrFVnV1zeExAS0AdDygtXUwSLNep684AAAEtAAARDqgde8Y//e/9o6+ZeZBbm5cYvYW+gJA5Aab7CozXfQVBwBAhC5uAABYH9BqIpmZQVTcA5D9+mtMPvus+yfX9O4tsmCBtyfp/Phj4vGongWAzm1HbA1oTfseKmgBACCgBQDASlolqtWiDQ2xjO5cu1scxOMx2XnnUo8e2avHSVZdTfksAHSuxYGd60160AIA0IwKWgAALK5+0nA2k4OEuQPa/v0bPalkysnJkUaPR6X59Vfa5gNAZ+hBPpsraE1A6z5jBACAqGJzCACApUxYmsketGbH/bjjauXSS2s8qfwtL+8hFRXLktondNfllxfIDTfYO4gZANjG9h60ZpCwvLzMtPABACBIKEcBAMBSpt/qNddkLpg0p77a3gOwRw+/pwAAgsX2HrRmuqigBQCAgBYAAGtVVSUuH300XyorM7uDbE6FtdWIEYky4oICu6cTAOzrQStWMu17CGgBAKDFAQAA1tKd1traxO9Ll8akTx/vw0nTKtb2CtpNNmmUV19dJgMGENACQBgCWipoAQBoRg9aAAAspf1cDRPUZmoH2fQqtNmmm3o78BgAhJlZrzc2xpye4O5tik09aPPzOfAGAEAAdscAAIgmd2haW5uZPWtTQRuEgBYA0HHuwbdsrKI1A2DafgYHAADZwO4YAACWclc71dRkugdtZh4fAOAP93rd5oDWDIgJAECUEdACAGApd1VrdXVmK2gJaAEgvNsQmwNaBgkDAICAFgAAa+XkNJ+eWlWVmedoaEgEv7Q4AIBwcQef5mCcLbQnrtn+ENACAEBACwBAIFocVFXFMjxIGIO0AECYuM+MMNWqtnBPj7tXLgAAUUWLAwAAAhDQ1tZm5jlocQAAUehBm5mDfF1VV9f8OxW0AAAQ0AIAYC0CWgBAGHvQuqeHgBYAAAJaAAACsXNdW5vZFgcMEgYA4WPaB9gW0LoraPPz/ZwSAADsQIsDAAAiXEFrdtrdzwUACAdz8M2+gLZ5o8MglQAAENACABCQCtrMPAcVtAAQXrYGtGZ68vPjHCAEAICAFgAAe7mrWt3VRl5qbEw8Li0OACC8B/psbXFA/1kAABJocQAAQAAqaGtqMvMcjY2Jy9zcRJ9CAEB4mAC0ocGuPjYmMCagBQAggYAWAIBAVNBm5jnoQQsA4WUOvtlXQZvYwBHQAgCQsOKYKgAAsDmgXbw4Jrfcki/z53tbBTVrVuJYLS0OACB8bG1xUF+fuMzL4+wNAACcbSKzAQAA+wPaJ5/MlwULMneKas+e7CQDQNiYClXTzsa+gNbvKQEAwA5sEgEACEAPWhPODhrUICNGeFsKNWBAo+y4o2XlVQCAbjNnR5hA1BZmevLz/Z4SAADsQEALAIClcnJaVrUOHdogl16aoRHDAAChYmuLA9ODlvY6AAAkMEgYAAABaHFgFBf7MSUAgCAyAWhDQ+Za5HSFCYzz82mvAwCAIqAFAMBSRUXprmNnFgDQMWYQLtt60NbVJS6poAUAIIGAFgAAS620UsswlgpaAEDQe9A2V9D6PSUAANiBgBYAAEv16pUuoKWCFgAQ9B60ics8RkQBAMBBQAsAgKX22KNlydPKKxPQAgA6V0FrW4uD+vpYUgsGAACijoAWAABLHXBAvRx44IoyoxVGjbLsPFUAgLXsDWgTl7Q4AAAggYAWAABLxWIio0c3B7Rrr90oBQW+ThIAIIAtDmwLaBkkDACAZAS0AABYrLCw+XfbeggCAOw/0GdjQMsgYQAAJCOgBQDAYkOGNKeyixat2NMGAKBTg4TZtf2oqzM9aP2eEgAA7EBACwCAxUpLm3+PM5YKAKATcnLiVvegZZAwAAASCGgBAAgI23awAQDBGCTMtgN8zQGt31MCAIAdCGgBAAgI23awAQB2s3WQMAJaAACSEdACABAQBLQAgDAMEkYPWgAAkhHQAgAQELbtYAMAgjJImFjFTE9+PqeGAACgCGgBAAgIKmgBAGFocVBXl9wjFwCAqCOgBQAgIGzbwQYA2M3WQcLM9swEyAAARB2bRAAAAsK2HWwAgN1sraA1CGgBAEggoAUAICA4FRQA0Bk5OYkje42NK0YLs4QJjM0gZgAARB0BLQAAljv88Frncvz4xCUAAB1hAlDbBgkzZ4RQQQsAQELeiksAAGCpK6+skaOPrpP11rP0HFUAgJVsbXFABS0AAMkIaAEACEBrg/XXt2zvGgBgPVsDWlNBS4sDAAASaHEAAAAAACHuXW7bIJOmJy4tDgAASCCgBQAAAIAQooIWAIBgIKAFAAAAgBCydZAw03IhJ8ey0l4AAHxCQAsAAAAAIWRrBa1BD1oAABIIaAEAAAAg1AHtilJa6ypo/Z4SAADswCYRAAAAAEIoNzdu5SBhZnqooAUAIIGAFgAAAABCyNYWB2Z6CGgBAEggoAUAAACAEDIBqG0BLRW0AAAkI6AFAAAAgBBX0DY0iFXoQQsAQDICWgAAAAAIIVtbHFBBCwBAMgJaAAAAAAhxQGvrIGFm+gAAiDo2iQAAAAAQQrm5iUsqaAEAsBsBLQAAAACEkK2DhNGDFgAAywLampoaOe+882SrrbaS4cOHy1133dXqfd9++20ZNWqUDBkyRI444gj59ttvm26Lx+Ny5513yogRI5zHmjhxoixbtqzpdv39/PPPl2222Ua23357ue2225Iee9asWXLkkUfKFlts4TzGrbfeKo2ubzInnHCCrL/++kk/r7/+uufzAwAAAAC8HSRsRVJriXg8lhQgAwAQdXl+T8DVV18tn3/+udx7773yyy+/yDnnnCOrrrqq7L777kn3++abb+S4446TY489VvbZZx957LHH5PDDD5cXXnhBSktL5eGHH5abb75ZLr30Uic8nTx5spx55plO0KouuOAC+eKLL2TKlClOmHv22WdLfn6+/PnPf5aqqirncYcOHeo87o8//ijnnnuu9OjRQw499NCmAPeaa66RbbfdtmmaevXqleW5BQAAAADBHiTMTA8BLQAAFlTQLl++XB599FGZNGmSbLzxxjJy5Eg5+uij5YEHHmhx3wcffNCpnD311FNl4MCBctZZZzkB6jPPPOPcfv/99zth69577y2DBg2SK6+8Ut544w2nyrayslKee+45ufjii2XLLbd0KmwnTJjgVNyq999/XxYtWuTcro+9ww47OBW65rFra2vlp59+kk033VT69evX9FNQUJDlOQYAAAAAHZOTE7cyoDWDhMVilo1eBgBAFAPaGTNmSH19vRO8GhqgfvLJJ0ntBZRWtW622WZNf8diMVlvvfVk+vTpTbcPHjy46fb+/ftLnz59nNs1XFXu27XKdt68ec5tG264oVNZmxq4Ll261LnUkFefb4011vB8HgAAAABAJitoTSBqC3rQAgBgUYsDDUh79+6dFIyWl5c7fWkXLlzoBKzu6+fMmZP0/7/99ltTm4G+ffsm3a7VuVoVu2DBAuc2pbevtdZazu+//vqrc6m3m8pYo7q6Wh555BHZaaedmgLasrIypy3Ce++9JyuvvLKccsopTqVtW8J+yo55fWF/nWgbywFYFsA6AWwbwHcEO+XmNgeifn1nb+u7ogbI7EtEA/sMYFkA6wSLA1rt/ZpatWr+1rYCbnvssYeceOKJTguDP/zhD077gc8++0yGDRvm3L7nnnvK1KlTnQrc1Vdf3WlxoOrq6mS11VaTzTffXC6//HKnj6xep/1qze1uWrmr/Wd1UDHteWsCWg1tdRAz7VX78ssvO4OGad9bDXfT6dOnVHJzfR+DLSv69u3h9yTAAiwHYFkA6wSwbQDfEexSVta8j1VeXmDNd8X8/MRljx5FUl5e5N9EIevYZwDLAlgnWBjQFhYWtghizd9FRckb6u23315OOukkp3K1oaHBCWb33XffpjYEGt5qm4O99tpL8vLy5KCDDpINNtjAqXw1g5GNHz9ettlmG6d37RlnnCEff/xx0+1K2y3oIGXau/auu+5qqqrVxz7ssMOaqnX1cXXAMa2ybS2graxcFvqjwfr6dAM7f/4S606bQvawHIBlAawTwLYBfEewU3W1hrKFsnx5rVRU1FjzXbG6Wvf18mXZsmqpqEgumEE4sc8AlgVEeZ1QXt7D7oB2wIABTosBDUY1VDVtDzSc7dmzZ4v7a9XqUUcdJUuWLHHaFuiAYVodq0pKSuSGG25wbtN+sRq8brvttk23r7nmmvL000/L/PnznYB29uzZkpOTI6uuumpTJe3pp58u77zzjtx2222yxRZbND2v3s+Es4YOJjZz5sw2X18UFjLzOqPyWtE6lgOwLIB1Atg2gO8IdjEFIw0N/n9fd39XdPeg9Xu6kF3sM4BlAawT0vP1HHwdnEuDWTPQl/rwww+dqlQNRd2effZZp0WBnp6j4ay2HJg2bVpTiwOtkH3yySed8FXD2U8//dQJa3UAMm1bcOSRR8rXX3/t/K8+hlbJbrTRRk0VtBdeeKETzt5+++0ydOjQpOfWlgcTJ05sMcCZhrQAAAAAYCNbBwkz0xP2Mw4BAAhEQFtcXCz77bef/OUvf3EC1VdeecVpLTBu3LimaloNYpUO7vXQQw/JSy+9JN9//72ceeaZssoqqzitD1T//v2dvrL6OJ9//rmcddZZcvDBB8tKK63khL1alXvdddc5/6vPM2XKFDn++OOd/9Vg9oknnnCCWK201efVn8rKSuf2ESNGOD1vn3rqKfnhhx+c59Eg+U9/+pNv8w4AAAAAOjpImE3M9BDQAgBgQYsDpZWpGtAefvjhTjWr9pjdddddndt0UK7JkyfLmDFjZJNNNnHup4N/LVy40GlfoIOCmUpb7RH7888/yzHHHONcp/1pJ0yY0PQ8F198sVxwwQUyevRop4r2/PPPl5EjRzq3vfjii01VtPpjaHuE1157zZmeiy66SG655Rb55ZdfZNCgQXLHHXc4g5EBAAAAgN0tDuwqVaWCFgCAZLF43LYTXsJh3rwlEoUvfNrouKIiGk2dkR7LAVgWwDoBbBvAdwQ7TZmSLxdfXCRjx9bJlCmJMxNt+K54+OFF8u9/58s111TL4YczSFgUsM8AlgVEeZ3Qr18Pu1scAAAAAAAy24PWthYHVNACAJCMgBYAAAAAQsjeQcISLRdSxoUGACCy2CQCAAAAQAjZXkGbk2NZcgwAgE8IaAEAAAAgxAFtQ4NYxQTGZhAzAACijoAWAAAAAELI9gpaAloAABIIaAEAAAAghGwNaKmgBQAgGQEtAAAAAISQvYOEJS4ZJAwAgAQCWgAAAAAIdQWtXc1eqaAFACAZAS0AAAAAhFBOTtzKQcKooAUAIBkBLQAAAACEkK09aBkkDACAZAS0AAAAABBCtge09KAFACCBgBYAAAAAQsjWgJYetAAAJCOgBQAAAIAQB7SmYtUWtDgAACAZAS0AAAAAhDigtW2QMCpoAQBIRkALAAAAACFka4uDhoaYc5mb6/eUAABgBwJaAAAAAAh1QJsIRG1hAuO8PMt6LwAA4BMCWgAAAAAIIVsraOvrE5dU0AIAkEBACwAAAAAhlJMTt3KQMNMT1wTIAABEHZtEAAAAAAghWytom1sc+D0lAADYgYAWAAAAAEIc0E6fnisXXVQoixeLFWhxAABAMgJaAACA/2/vPsCjqN42Dr8ppNGk27AAikiTjoKoqBQrUqwoigUUsYCiiAqKIKIoYkdFsaIoFqR8yt/eQOkICIhdkV7Tk/2u54RZdzcdgU02v/u6AsnO7uzM7Nkpz5x5BwAiUGAJgaeeirN77om3kiArK+emZZQ4AAAgBwEtAAAAAESg0AB0yZIYK0k1aGNiSlhxXAAAwoSAFgAAAAAiUExIHltSbhbmBbTUoAUAIAcBLQAAAACUgYC2pNws7N8etOGeEgAASgYCWgAAAAAoAyUOSloPWmrQAgCQg4AWAAAAACJQdLSvRPegpcQBAAA5CGgBAAAAIAKV3Bq0Ue5/bhIGAEAOAloAAAAAiEAlvQYtJQ4AAMhBQAsAAAAAESg0AC1pAS03CQMAIEfs7v8BAAAAABFd4iCntEC4rFoVbWlp1KAFACAUAS0AAAAAlIGA1uu5Gg5bt5qdeGJSUEhMD1oAAHJQ4gAAAAAAykCJg127wjUlZhs2ROfqwUsNWgAAchDQAgAAAEAEionxBf29c2f4ShxkZuZ+LDY2ePoAACirCGgBAAAAIAKF9lBNSfk3oB09Os4uuyxhv5U9yCugpcQBAAA5qEELAAAAABGooAB0/Ph49/+cORnWufO+T2lDg+CDDsq28uX3+dsCAFAqENACAAAAQBkIaMuVy11SYONGdbPdvwHthx/usrp1sy2Wo1EAABw2iQAAAABQJgLanP9TU/99bPv2/TMtmZk55RXq1Mm2447L3j9vCgBAKUENWgAAAACIQFFRefdive++nPIGsn171H6tQcuNwQAAyI2AFgAAAADKQA9aL6CdOnV3V1ozS0/fP9PivTc3BgMAIDcCWgAAAACIQDExvjxDUl/Aw+np+7sH7X55OwAAShUCWgAAAACIQKG9VX2+KMvODr5h1/7qQesFtPSgBQAgNwJaAAAAAIhA0Xkc7SmcVUgbGpzua1lZOT11CWgBAMiNgBYAAAAAylBAG94SB8FlFwAAgBkVgAAAAAAgAuXVWzW0B+38+dE2fHj8PpuGqCizxESz11+P36+BMAAApQkBLQAAAABEoLxuyBVag3bNmhj3s+/ldOdduHB/vBcAAKULAS0AAAAAlJESByo1ENiD9vrr0/bpNOT0oI23sWP36dsAAFCqEdACAAAAQIRKSvJZcvK/ZQV27YoKCmjvvjt9nwe01avH2wsvZNuGDdwCBQCAvLCFBAA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PW+zqVUHD0s4+1534U6mohLffcDfXy2h9vGtLaWed426uFztvrpX7PuRqkKOPdp0EtK5O0JUkIVKuy6nXrBM62r8PpPWiymrFLl1s5b743O3DunVOcrI7OZp861C37qt06YUWE1BqSh0Xtv5fznqr4nVXB12R5eZz2HC3jdB7Jj0VfLVNepvjbdfosRb7+WdW8Z47g5ffUUfb9okvut+rdDrJv071bJv0imUdWceSHrzfEkJOKqZcfKmlXH2tO5lW6ebrg4ZpG7DtrfesSpXyln3a6W7ZBtr+yOPuRHsFHbN9Hrw+3qqTkTEx7ngttIPGrhsGWWbrNu6KvcTXg5e9Tjon33yLO8aodH2/nOmoVNmyq1Z1pZBUqkuSnnnC7fcHSr3gYtcZQ0FqOQW/ASsxbV/TT+roPpfEKa8GvU4nc5Ovzfm8Eyc9mxNUB7w29bye7soGhb6hV5jpBJKCVq23kp5+LGiYm9fb7nTfK52Ad1cEhrTdzCbH5QS0s3d/J3a/rT4vF9CmpFj5B0cHT2/5CpbaR1eaR7mrCaPSgo8Vsw4/3G3X1JkgsP25ZVm5sgux9b0NbX/e/Lgrndb+5NpzzgizzDIzLOHMLraxazcXaEe6Mh/QLliwwHr37m2LFi2yuN0HX3PnzrWrr77aPabA1XPXXXe5cghjx/7bG+T22293r7v33ntdWKvXqXetp2PHjjZo0CA766yzym5Am7bdtqz6JWhnS6Ff9sGHuB16HQwE0Qa6Yc5lsjHaEIacbcvWF1/Byvr1/jN16l6vL7Mur8066miLWTDf4uZ943ruubWNz+d6e6SfdY47MHO9Ed0B0e4Do3KxlnLxZW48rufI7stuPSm6jCwhweKmv5frTFHGiR3cRl+9oUIv+dXZNl3qKolP5l5xpl7c263wdUmVzmSW+/QT/9lFBXe6ZFwHaO7ytJDLRxX6uXqND96fa7w7dcasXDkrP/Jud5Cm3kjeXXZ33TjIfDVqusvFdADi3zGKirL0E092G+e4WR9Y5atzNkK6FE69SVL6D3A7+rr02X0uAfS6zDZt3ePusurAZVC9hqVdcaULaN0ZwpANd8qlV7jL5tWrwU1P4LJt2doyTu7oNioVB9/ozhwqZE1v18F8VatY1MZNlvjaSy5M82pCZh7TwLWt6L/+dAdCfjqpckAVd7ZQK3sdoIbSTpbOxqp3ZGjImHnEkW6jot6a5byeGW5edKbxyJyzyzExll25yt6re1kcqoOpTkIKIIpydlFnor2DM+8nUoI5lHi0A9AOiml3+Y2SQuVIFJroUnuvV7/bp9K2pJhXtOyz9YFGppM05eLCG8DnxQWDkd8TaL+3A70wNcVM+/974cqquA/etZh1/1iy9oHLV3CPZR17rDsO0RUCgaVU3NvXrJHTS3HXrlylX9w+auuczkAK12xXcEkZHb/o+Ej7r9G/BR9r6AS3QjkXbKgecIjMVq1zylMt/yFXeaps7aPWOjAnMFkbXMNd5VPcMZfKU839Nvd4tc+ckOBOgmv/VyUh3DGLagqrrvxhh1v54cNy9apU4KQT/+r1rCsWPDq5o1BN5Tt0ZUHi6wqrvJISCvuOspSbbrFKCTHmu/yKnOlX70yd/N7dE1rTo5NBLsTZvs2id+7MuTLj3tFu/zfxpRdy1cBPPftc12tcZXOCyvVoHnWl1nk93TFp+ZDa+u49B97sjg10okjljkJ7BKqcUOyihZY0+fmcZar1TUyM7ep/vesooJJSoSWLdHyjsC9qw3qreF/uuvvbH33S/a+r1ULfM6V3H8to1cZ9DolvveFOvinwVXClk0A6iaRgTWFeVhUFiwf4T5ipfJCojbnjhgA6QafOHzopoZNQnujt23M6cNQ+3CwlOVeb17LxXxmk48OQL68b5q4MWpfryiCF6+7kqfKAkABR68fsunWtQvl4S1m63Hxe+SFvvLpqLCkp5wKJ+AR3hYfbHpUr579U3r1fRoZFZWZZdvkks6Ty/x7zhHSYcTQyrTf0uIbvXk/vl3tMFJc3jfts/Nk543fbqeDtpysfsx87LUTv3G4VY802djqbgHa3iN57UK3YKlWq+MNZqV69ugtit27dGlQ/Vs9V3dlA1apVs9Wrc2rBrV+/3mrWrJlr+Lp1ubv7e0ra/uLe5ubv1lutyuuvBz2eflonS738Sov+ea1VuGtortolO57LORNX/rbB7lLmQLokXHUy495/xxLe3N2rcDf1Xkg7/0Ir97+PcoLW3cGjqJeGLmXUirr8yBFBN8zRWTC3gYiKtvL33p1rpzm7YgV3xjbx2adynYlLXdXTnVmPnf+dJb4W3OtaOy4e1QUM7TLo00alRk1LfO5pK7dgvrus1tsB9FUob1nLl1rst99YnGpiBdClqgqVXb3GObtr4gVIaNzI9QjQJfO6fNLtqOzeCGUddpjrHaKw2V1q7YXUWgGqtuimDS4UzmjR0gXAuuxBOxtu2ipVdrXOYgMvddXrfl5rGb/+7B7X8KBlV6uWmTaKFRPd5Zq5dgjKlXMBq4Ld0B4/MT8sddOuneDY7+e6S70z1LtFPTH18SUmWuqV/VxPRd3IIuh9Dz4k5yRAXnRJuS5pzYeC8bw2ea611KhhGTVOyr/3xtZ/d2rCInjfp2SqkGDRO4NPvKAMoh2AdgDWByjB24XYX37JqZseEOrtGna3C0vjp7xm8TM/CHq+btCp+r668qnCsNuDhmlf1X98M+z2XB0+kgfe5IJWXQGWMOW1oGHaJ0+5cVBOKZEbcq6eCrR94iQXXCaNGWWxy38IGpZyeV/L6Hia622Z+OzTuXo/Jt81wp0AqnR5ztVegXaMG59znPLk4663eiCVV1JPOZWmclcQBYif+b7rJa6rzoICZXWWUDkeHXdUrWYpA27I9Z7uOCspzlJuGpx72O5elJmt27qfnEA+1fVwjd19tZh3pUDo/nusSmAceKC7JDzXeHd/FnkO2x32ZrY53v3k+dpq1dzxqQJB70Z26vYQ/eMKy65T198jNlC5H3OOJwsaln5G7g5e/uE1a/77Wl2ptrukVpSuHtIVEyd3dFew5SX74EMtP5r+wJvxBXVZKlfJsnUPhxBenJF99NH5DvMddKD7yXN4+STLrp9PjVFdEVenbr7jdb+npfrLLLi/M3d3BtKxYWLivxd1qBZ3YZmm99qAv6N00gf/2s/Huq6U2FF1cmKbCM/OiiqiSxy8++679uijj9onn/zbNf7333+30047zT777DM78MB/VyR9+vSxFi1a2A03/Lsx0WsXLlxoL774ojVo0MBeeOEFVzLBc8kll1i7du3suutyb0zLjLlzlV6HeypQXNqoKwhV7Z2SRNNUUi41BgAAQOQKucQcIYp7BZZCM/XAA4CiUi/6pk1LVFmecIroHrTx8fGWHtKjz/s7QZcKF+G53vPyG55Y1u+8u7u2LwAAAAAAAIDii+iYulatWrZlyxbL1OUAAaUMFLpWCunCr+du9O6st5v+9soa5De8hi6dBwAAAAAAAIA9ENEBrcoSxMbGuhuCeebPn2+NGzcOukGYNG3a1JUz8Co+6H/dZEyPe8P1Ws/ff//tfrzhAAAAAAAAAFBcER3QqvxAt27dbMSIEbZkyRKbM2eOTZo0yS677DJ/b9pUFR83sy5dutj27dtt1KhRtmbNGvd/SkqKde3a1Q2/6KKL7L333rOpU6faypUrbciQIXbyySdb7dq1wzqPAAAAAAAAAEqviA5oZejQodawYUN3E7B77rnHBg4caJ06dXLD2rdvbzNnznS/V6hQwZ555hnXS7Z79+62ePFimzhxoiUlJbnhzZo1s3vvvdeeeOIJF9ZWrlzZ7r///mJNyz///ONuQta6dWs78cQT3evT0tKCbmB2+eWX23HHHWdnnHGGffnll0Gvf/vtt12QrGnp1atXUI/ebdu2Wf369YN+2hRSH/brr7+2s846y/UCVmit98/LnXfeaY899lih87d8+XI3XRpfjx49bNmyZf5h6pGs5dmxY0dr3ry5+zwUhOdHy+WOO+6wli1bus9JwXogjfuCCy5wy+L8888P6iWdlw8++MDdHE7TNmDAANu8eXPQtD300EPuBnD6bMaOHWvZ2UH3tdxrSlMbUI3lBx54wDp06GCtWrVyy23dunVFms/vv//eTj311GJ9DsVdVp5ff/3VmjRpUuD0ZGVluc9YN/XTsrvxxhuDSpbszzZQGttCcnKyWw9oHGoLd911l+0KuatvcdpCcdcHgW1S0zhXNycMUNiyKqnrg9LYFgI999xz7jMsqvfff98uvfTSPd7O/PTTT9a3b1/XZvS+Tz/9dNBn8+mnn9q5557rlsPZZ59t//vf/4o0XXnNh24OGrrctD7cV0pTG9iT8RXWBl599VV30lufrZbD1q1b8x2HtvcXXnihm9fOnTu7E+fFea9AmzZtcu+nm8Rq+/Dggw8GlcVSmSztN+q91EZ0on5fKk3toLifW2GfjeZz5MiRdvzxx7ufu+++2217ClPYPoD253VF3R9//LHH+5zF3caUlXagZRo6Lu/nu+++K3Y72JPxFbY+KGhZlPT1QWlqC//lO7w/1wlF2S4E7g9qn2PatGlh3T8obe0gIyPDfXe0LtW+tJZN4PdoT44fZ8+e7b7fmj99Jn/++ece7ysW9l75YV8xf/l9r/RdUXtVu9M2Vp0fC1LU/fhZs2a5dloU2i854YQT8t0H0ON6v9Bjy7BuG3zYL7Kzs33nn3++76qrrvKtWrXK99133/lOP/1035gxY/zDzz77bN/gwYN9a9as8T399NO+pk2b+v788083/LPPPvM1adLE99577/l++eUX3yOPPOJr3ry5b926dW74999/72vdurVv/fr1/p+NGzfmOz0a73HHHed7/vnn3fTceOONvrPOOstNR6CJEyf6jj76aN+ECRMKnL9du3b52rVr5+ZH0z9y5EjfCSec4B6X1157zdemTRvfxx9/7Fu7dq3vjjvu8J188sm+5OTkPMd37733uuWxbNky34cffuhr1qyZb9asWW6Y5qtFixa+O++8073XCy+84ObFW1ahFi9e7JbdO++841uxYoWvd+/evmuuucY/XMvgpJNOcp/JN99842vfvr3vueee85X1NvDggw/6TjvtNN/cuXN9q1evdsusR48eudpIqJUrV7rP/pRTTinW51CcZeX566+/fJ07d3ZttCBPPvmkm5558+a5eenTp4/viiuu2O9toLS2hWHDhvnOPfdc39KlS9138pxzznHfv8Lk1xaKuz6Q1NRU34ABA9xn/e233wYty4KWVUldH5TWtuD57bff3HSEfrb50bLU87W8QxVlO6O20bFjR9/tt9/u++mnn3yffvqpr23btr5XXnnFDddn2bBhQ9/kyZPdctDj+luPFyS/+VCbHzFiRNBy27Fjh29fKG1toLjjK6wNzJgxw03/7NmzfT/++KOvZ8+evptvvjnPcei9WrZs6Rs3bpzv559/9n3wwQe+xo0b+z755JMivVeoyy+/3G0LtF3Qctd3/6mnnvIP79evn9teaLrefPNNX6NGjdw6ZF8obe2gOJ9bUT6bhx56yI1/yZIlbhl37drV7UsWpLB9gPT0dDdODf/999/zHU9B+5zF3caUpXaQmZkZNB79DBo0yO0ratkXtx0Ud3yFrQ8KWxYleX1Q2trCnn6H9+c6oajbBcnKynLrBY3n7bffDtv+QWltB9r3136a1qk6fihKO8jvmGH+/Pm+Y4891vf666+7/T99D7U89mRfsbD3yg/7ivnL73ulfQPlNTrW0/f3jDPO8N1zzz35jqeo+/Hbtm1zmVNhx/6ydetW3wUXXFDgPsCVV16Z69gy3NsGAtr9RCtMffgbNmzwPzZ9+nR38C9ff/21W9l5gabog/YOWG+66Sbf3XffHTTOTp06+d544w33uxqDGmBRjR8/PuiLpBWadki9xqkNzcCBA32tWrVyjbCwgHbq1KluheitnPW/Nh7eRq1Xr16+Z555xv987Whpfr/88stc49Iy0A5W4BfliSee8E+vwpJTTz3V7cgFfrm0QcjLrbfe6rvtttuCNt7169d3K1vR/AVufN99990ir7AjuQ1ow6UDMM8///zjpl87wfnRxlPzoB2F0GVY2OdQnGUlH330kdvo6r0KW0k/9thj7qDLM2fOHLez4tlfbaC0tgXtiGoHzqONp3aUC1JQWyjO+kC0QVQo7H3WgeuGwpZVSV0flNa24NGOyoUXXlikZaPvn3ZWtAMfOO7ibGd0gKEdvbS0NP9jOgjx5k0nlLQdCNS3b1/fww8/XOC05TcfemzKlCm+/aG0tYHijq+gNiDdunVzwz06kXbmmWcGbeMDT+506dIl6LG77rrLhThFea9Aaks6oNWBgGf06NHuIFh+/fXXXDv1OpkUuP4oy+2gOJ9bUT4brd9ffvll/98vvfSSG19+irIPoJOz+i4XdHBW2D5ncbcxZa0dhAYpOqDWPBSkqN/RwsZX2PqgsGVRktcHpbEtFPc7vD/XCUVtc6LgUs9RxwGdAAgNaPfn/kFpawc6/tfvb731ln/4okWL3Pd4586de3TMoM4ZClw92l/XczZt2lTsfcXC3is/7CvmraDv1cUXXxy0nVSwqWPv/DrjFHU/ftiwYf7tekH0fsqmvPVBXvsAOmnhjSu/gDYc24aIL3FQUtSoUcN1ja9evXrQ4zt37vRfgnXsscf6SyqIulF7l+5fddVVdsUVV+Qa744dO9z/ujz4iCOOKPL06P10KVdgvV6VgvDeT929demELusoSp1djU/TGxUV5f7W/7q0wBufavaec845/udruE4QeNMfSDV+1W1c3cQDl4XeQ5co6DIKTWtMTIx/uLq5e++lLur62+vKHjqvBx10kB188MHucV0yopu96bLtwPfSpRPr16+3stoGtJzVfV+XBOT3fnn5/PPP3aUsusymsPcL/ByKu6y8yyBUqmDYsGG5Xh/aBq6//no7/fTT/Zcp6BI4XSYk+7MNlMa2IMOHD3fvL1qmKhHgLb89aQvFWR/IvHnz3OVWb7zxRp7TXtCyKqnrg9LaFuTdd991lyn17NmzSOP86quv7Pnnn/eXF/IUZzujS5RVYiguLi7P5XTeeefZLbfcku9y0HuEXg5V0HysXbu2WMutLLWB4o6voDageVR5JG/9LPr+aR0TuI33eJd2hgrcNuT3XqIyGl45C7UllTM5/PDD3d+rV6+2jz/+2L9u03LQ+uHQQw8NWu66oWxZbwfF/dyK8tkccMAB9n//93/uclv9fPjhh+57n5+C9gHk559/diUYbr/99lzD9Jh3OWZh+5yFLfey3A5CjRs3zpUdq1u3boHjLKgdFGd8ha0PClsWJXl9UBrbQnG/w/tznVDU7YL88MMP7rNWWYCKFSuGdf+gtLUDlQxTCbTAm6hr30tlDwJLHxbnmEHHAIHbGu0v6rtZtWrVYu8rFvZe7CvunX07lRZcunRpUDtReQq1A21z81LYfrzXFvTTv39/K4zKfKjkZn7l01SWQFmHSpiGCve2IXaPX4liqVSpktuR8Gin75VXXnG1WbwbltWsWTPoNdWqVfPX/NSKL5BWLr/88ov/9aq3oh1MHWgqZNAXQvV3Q8fpKez9jjnmGFeTt6g0vnr16uUanxqxBH5BRQGZptcLfULHVaVKlaCVqzZKOpBXHRH9Hvrl1nTriybaydaX0ltxK1jJb171XhI43NsAanh+yy/S20B0dHSucPall15yn0tBNV+efPJJ939ovabCPofiLiu577773P951YwJbQOeCRMmuA23aki//vrr/uWwv9pAaWwLgW677TYXah1yyCGudmtBCmoLxVkfyMUXX5zv+xQ27SV1fVBa24J2vrWj8sILL7idr6Lwvmuh39XibGd0gKIfj27w+eabb9opp5zi/g49gNe255tvvnG1CUU12QKXc0HzofrU2ta88847blnFx8e75aeaZt5JyLLcBoo7voLagFe3Tp+HPiuF9qrvpQNsLZdQ2gEO3AnWCbcZM2a42l+FvZfoM7zkkktyPd67d29X41LL0hue33LQPO8LpakdFPdzK8pnoxN3+hy92odHH320PfXUU/mOq6B9AJ3wU71KjU/THErTqQPIouxzFnX7WBbbQSDVtFRA8/DDDxc6jwW1g+KMr7D1QWHLoiSvD0pjWyjud3h/rhOKs11QMJNfff39vX9Q2tqBjq/KlSvnxuPlAur4IN5xenGOGXQDd4XzWl9feeWV7vhf9YV1A/hatWoVe1+xoPcS9hX3zr6dPjdtQwNfGxsb60665LftLGw/Pj093d0DRdt2tbHC3HTTTe7//GrPjhkzxoXCRx11VK5h4d420IM2TJTYq/fBzTff7P5WL57Qsz36W40x1G+//ea+MCqe7K10dTZPZ4f0+COPPOJCCJ1d8HZAQxXn/YqiOOPTmQadudKKNnAlWti4ROPTWZolS5a4Fa42KF988YUrIq2zMt5zNV6vF4dWzvlNm4YFjj/0vfal0tQG5syZ426aMXjw4FyvKaqCPofiLqvChLYBjwqPv/XWW+5mA1r5anmFsw2UtrZw9dVXu16sCmj1+964eVZh64PCFDbtpWV9UFrawujRo/Pdodlf1O7UA069NPr165druEIjHdTpKg7vBhAJCQlB7aug+dAy83awdDCo99D/kydPtv2hpLeB4o6vIN7NBtWDQeuURx991O2U68C8MPq+6nNWmKabhhZF+fLl8+x1o5vU6SSk9iMGDRq0T/aTIqkd/JfPLT+aZvVC0fdMPXJ0cKcDqD2h7bw+S/W+zIt6xelAsSj7nLSDorU77ZOrl1teocmeKO74Clsf5PWdKE3rg5K+Ttjb3+F9Mb785NcO8hLu/YOS3g4Uwul7qxMrCuLU+1H7+HrcO04vDu+mcArfNc1a1nofLffCjkEK21fMC/uKe2ffLq/jqeKsMzfnsR+vDlZqs7r53H+lm9zpJOB1112X5/BwbxvoQRsGWrFqRa7Gr7OBojNwoXe/1QerFUXoJVu6TEHd+70zhaIzxjpz5z1fPQXVgBV+qMfb9OnTg56r9wttOPq7oJ4PHt0NMbDX07PPPpvv+EKnX929tTPfoUMHdxlKXvIbl2h8Bx54oLurp+Zfl17rcoaLLroo3zPx+Y1Pl2QE7oTreYHvpeH7SmlqAwpndRZKZ41058/82kBor8jifA7FXVZ7yrs8YezYsa4N6nIp7wzv/m4DpbEteMtK06qz+TqLqO90cdtCcdYHhSnqsirJ64PS0hZ0Mkw9mgLHH0hntUPHp/IRe5NOyqknty5l1Emj0FBfvVu0HNSDTvOqqwFCFTYfumzp22+/db3qRFcNaGdRPQXyuiSuLLWBPRlfQW1AB21yzTXX+HfCR40aZd26dXO9D/ILZ3TApR1r9QJ67bXX/vP3U725veBevUfU46Ko+zVlsR0U9rnpQKo47UDhgHq16o7P3qWx+iy036E7Jxfn6gX1ZtFy07iK0qOtsH3O4m5jylI7CFwvq6OE9q32xjYhv/Hlp7D1QX7LorSsD0pDWyjsO/z444+HbZ2wN4Vz/6A0tAMvxFJ4fNJJJ7myC9dee63rWFWhQoViHz96nSt0/Knti+jqJ12xof04BXh7sq9YFOwr7vm+XegxVOjxVkHtYGMe+/GrVq1yJ+0Cp2FPKTzWtkkZUnHX3/tr20BAu58pWNRKXCvYzp07+x/XQYhqwARSAw3cAKl3glb+WrGqFk3gBx+6M6Ize+odoB1lBR/qnebROPV+Gn/o+xVWK0jU1bxr165B057f+AKnXwGqzsRopaq6UnkdOHvj02UQWrl6BwHa4db8eit/1RTRilqXM+k9tBMXeJlT6PjymjatrL2DP43fe713mfOerMwjrQ1oBaweMfrM77jjjgLbQGEK+hyKu6yK65NPPnH1mbzp1MpUy1DtLBxtoDS1BW1ktPz0vdXOlaiHisan5bcnbaE464PCFGVZleT1QWlqCzNnznQ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|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data",
|
||
"jetTransient": {
|
||
"display_id": null
|
||
}
|
||
},
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"<Figure size 1400x700 with 1 Axes>"
|
||
],
|
||
"image/png": 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"
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data",
|
||
"jetTransient": {
|
||
"display_id": null
|
||
}
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"图表绘制完成。\n",
|
||
"{'初始资金': 100000.0, '最终资金': np.float64(99988.0), '总收益率': np.float64(-0.00012000000000000899), '年化收益率': np.float64(-0.00010250937113220893), '最大回撤': np.float64(0.0015393226980128744), '夏普比率': np.float64(-0.02586895202679291), '卡玛比率': np.float64(-0.06659381510097863), '总交易次数': 108, '交易成本': 0.0, '总实现盈亏': -13.0, '胜率': 0.3958333333333333, '盈亏比': 1.4576579857949374, '盈利交易次数': 19, '亏损交易次数': 29, '平均每次盈利': 14.526315789473685, '平均每次亏损': -9.96551724137931, 'initial_capital': 100000.0, 'final_capital': np.float64(99988.0), 'total_return': np.float64(-0.00012000000000000899), 'annualized_return': np.float64(-0.00010250937113220893), 'max_drawdown': np.float64(0.0015393226980128744), 'sharpe_ratio': np.float64(-0.02586895202679291), 'calmar_ratio': np.float64(-0.06659381510097863), 'sortino_ratio': np.float64(-0.015157375450423963), 'total_trades': 108, 'transaction_costs': 0.0, 'total_realized_pnl': -13.0, 'win_rate': 0.3958333333333333, 'profit_loss_ratio': 1.4576579857949374, 'winning_trades_count': 19, 'losing_trades_count': 29, 'avg_profit_per_trade': 14.526315789473685, 'avg_loss_per_trade': -9.96551724137931}\n",
|
||
"指标 'rsi_5' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'rsi_7' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'rsi_10' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'rsi_14' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'rsi_15' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'rsi_20' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'rsi_25' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'rsi_30' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'rsi_35' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'rsi_40' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'range_0' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'range_1' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'range_6' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'range_13' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'range_20' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'stoch_k_14_3' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'stoch_k_5_3' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'stoch_k_21_5' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'roc_5' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'roc_10' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'roc_15' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'roc_20' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'roc_ma_5_5' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'roc_ma_5_10' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'roc_ma_10_10' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'roc_ma_10_20' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'roc_ma_20_20' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'roc_ma_20_40' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'natr_5' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'natr_14' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'natr_21' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'adx_7' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'adx_14' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'adx_30' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'adx_60' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'adx_120' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'adx_240' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'bbw_10_15' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'bbw_20_20' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'bbw_50_25' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'price_range_to_vol_ratio_n3_atr5' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'price_range_to_vol_ratio_n3_atr14' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'price_range_to_vol_ratio_n3_atr21' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'price_range_to_vol_ratio_n7_atr5' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'price_range_to_vol_ratio_n7_atr14' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'price_range_to_vol_ratio_n7_atr21' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'price_range_to_vol_ratio_n21_atr5' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'price_range_to_vol_ratio_n21_atr14' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"指标 'price_range_to_vol_ratio_n21_atr21' 没有对应的有效平仓交易数据。跳过绘图。\n",
|
||
"\n",
|
||
"所有指标的分析图表已生成。\n"
|
||
]
|
||
}
|
||
],
|
||
"execution_count": 8
|
||
},
|
||
{
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-10-24T08:51:45.537834Z",
|
||
"start_time": "2025-10-24T08:51:45.493347Z"
|
||
}
|
||
},
|
||
"cell_type": "code",
|
||
"source": [
|
||
"from collections import defaultdict\n",
|
||
"from typing import Dict\n",
|
||
"from src.core_data import Trade\n",
|
||
"import pandas as pd\n",
|
||
"\n",
|
||
"\n",
|
||
"def get_trade_time_category(trade_time: pd.Timestamp) -> str:\n",
|
||
" \"\"\"\n",
|
||
" 根据交易时间，判断其所属的时间类别\n",
|
||
" \"\"\"\n",
|
||
" time = trade_time.time()\n",
|
||
"\n",
|
||
" if pd.to_datetime('09:00').time() <= time < pd.to_datetime('09:05').time():\n",
|
||
" return \"早盘开盘\"\n",
|
||
" if pd.to_datetime('14:55').time() <= time <= pd.to_datetime('15:00').time():\n",
|
||
" return \"午盘收盘\"\n",
|
||
" if pd.to_datetime('21:00').time() <= time < pd.to_datetime('21:05').time():\n",
|
||
" return \"夜盘开盘\"\n",
|
||
"\n",
|
||
" # 您还可以定义其他时段，例如上午收盘等\n",
|
||
" # if pd.to_datetime('11:25').time() <= time <= pd.to_datetime('11:30').time():\n",
|
||
" # return \"上午收盘\"\n",
|
||
"\n",
|
||
" return \"其他时段\"\n",
|
||
"\n",
|
||
"def analyze_trades_by_open_time(trade_history: List[Trade]) -> Dict[str, Dict]:\n",
|
||
" \"\"\"\n",
|
||
" 分析不同开仓时间对交易收益的影响\n",
|
||
" \"\"\"\n",
|
||
" # 使用defaultdict来简化聚合逻辑\n",
|
||
" analysis_results = defaultdict(lambda: {\n",
|
||
" \"total_pnl\": 0.0,\n",
|
||
" \"trade_count\": 0,\n",
|
||
" \"win_count\": 0,\n",
|
||
" \"pnl_list\": []\n",
|
||
" })\n",
|
||
"\n",
|
||
" # 简化处理：假设交易历史是按时间顺序排列的\n",
|
||
" # key为symbol，value为对应的开仓交易\n",
|
||
" open_trades = {}\n",
|
||
"\n",
|
||
" for trade in trade_history:\n",
|
||
" if trade.is_open_trade:\n",
|
||
" # 如果某个标的已有未平仓的交易，先进行记录\n",
|
||
" # 在简化模型下，这里可以假设一个标的只持一仓\n",
|
||
" open_trades[trade.symbol] = trade\n",
|
||
"\n",
|
||
" elif trade.is_close_trade:\n",
|
||
" # 查找与此平仓对应的开仓记录\n",
|
||
" if trade.symbol in open_trades:\n",
|
||
" open_trade = open_trades.pop(trade.symbol)\n",
|
||
"\n",
|
||
" # 获取开仓时间并进行分类\n",
|
||
" category = get_trade_time_category(open_trade.fill_time)\n",
|
||
"\n",
|
||
" # 累加数据\n",
|
||
" pnl = trade.realized_pnl\n",
|
||
" analysis_results[category][\"total_pnl\"] += pnl\n",
|
||
" analysis_results[category][\"trade_count\"] += 1\n",
|
||
" analysis_results[category][\"pnl_list\"].append(pnl)\n",
|
||
" if pnl > 0:\n",
|
||
" analysis_results[category][\"win_count\"] += 1\n",
|
||
"\n",
|
||
" # 计算最终指标\n",
|
||
" final_report = {}\n",
|
||
" for category, data in analysis_results.items():\n",
|
||
" trade_count = data[\"trade_count\"]\n",
|
||
" if trade_count > 0:\n",
|
||
" final_report[category] = {\n",
|
||
" \"交易总数\": trade_count,\n",
|
||
" \"总盈亏\": round(data[\"total_pnl\"], 2),\n",
|
||
" \"平均盈亏\": round(data[\"total_pnl\"] / trade_count, 2),\n",
|
||
" \"胜率\": f\"{round((data['win_count'] / trade_count) * 100, 2)}%\"\n",
|
||
" }\n",
|
||
"\n",
|
||
" return final_report\n",
|
||
"\n",
|
||
"analyze_trades_by_open_time(trade_history)"
|
||
],
|
||
"id": "64de0c98fdcfcd3d",
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"{'其他时段': {'交易总数': 52, '总盈亏': 8.0, '平均盈亏': 0.15, '胜率': '36.54%'},\n",
|
||
" '夜盘开盘': {'交易总数': 2, '总盈亏': -21.0, '平均盈亏': -10.5, '胜率': '0.0%'}}"
|
||
]
|
||
},
|
||
"execution_count": 9,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"execution_count": 9
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": "quant",
|
||
"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": "3.12.11"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 5
|
||
}
|