711 lines
2.9 MiB
Plaintext
711 lines
2.9 MiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "code",
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"id": "initial_id",
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"metadata": {
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"collapsed": true,
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"ExecuteTime": {
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"end_time": "2025-07-28T05:56:28.165787Z",
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"start_time": "2025-07-28T05:56:28.144581Z"
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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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"%load_ext autoreload\n",
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"%autoreload 2\n"
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],
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"outputs": [],
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"execution_count": 1
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},
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{
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"cell_type": "code",
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"id": "a559dfcf",
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"metadata": {
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"ExecuteTime": {
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"end_time": "2025-07-28T05:56:33.483569Z",
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"start_time": "2025-07-28T05:56:28.225551Z"
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}
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},
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"source": [
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"\n",
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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 RSI, BollingerBandwidth, HistoricalRange, NormalizedATR, RateOfChange, \\\n",
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" StochasticOscillator, ADX\n",
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"from src.strategies.OpenTwoFactorStrategy import SimpleLimitBuyStrategyLong, SimpleLimitBuyStrategyShort, SimpleLimitBuyStrategy\n",
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"\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 = '/mnt/d/PyProject/NewQuant/data/data/SHFE_rb2510/SHFE_rb2510_min60.csv'\n",
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"# data_file_path = \"/mnt/d/PyProject/NewQuant/data/data/KQ_m@CZCE_MA/KQ_m@CZCE_MA_min60.csv\"\n",
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"data_file_path = \"/mnt/d/PyProject/NewQuant/data/data/KQ_m@DCE_m/KQ_m@DCE_m_min60.csv\"\n",
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"# data_file_path = \"/mnt/d/PyProject/NewQuant/data/data/KQ_m@CZCE_SA/KQ_m@CZCE_SA_min60.csv\"\n",
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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 = 0.0001 # 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@DCE_m',\n",
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"}\n",
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"\n",
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"# Short 可用\n",
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"strategy_parameters = {\n",
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" 'main_symbol': \"m\", # 根据您的数据文件中的品种名称调整\n",
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" 'trade_volume': 1,\n",
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" # 'lag': 7,\n",
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" 'lag': 1,\n",
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" # 'range_factor': 1.6, # 示例值，需要通过网格搜索优化\n",
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" # 'profit_factor': 2.9, # 示例值\n",
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" # 'range_factor': 2.0, # 示例值，需要通过网格搜索优化\n",
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" # 'profit_factor': 0.6, # 示例值\n",
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" 'range_factor_l': 1.6, # 示例值，需要通过网格搜索优化\n",
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" 'profit_factor_l': 2.9, # 示例值\n",
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" 'range_factor_s': 2.0, # 示例值，需要通过网格搜索优化\n",
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" 'profit_factor_s': 0.6, # 示例值\n",
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" 'max_position': 20,\n",
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" 'enable_log': False,\n",
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" 'stop_loss_points': 10,\n",
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" 'use_indicator': True,\n",
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" # 'indicator': RSI(window=7, down_bound=25, up_bound=65),\n",
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" # 'indicator': RSI(window=7, down_bound=25, up_bound=60),\n",
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" 'indicator_l': RSI(window=7, down_bound=25, up_bound=65),\n",
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" 'indicator_s': RSI(window=7, down_bound=25, up_bound=60),\n",
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" 'lag_l': 7,\n",
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" 'lag_s': 1,\n",
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"}\n",
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"start_time = datetime(2021, 6, 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(2024, 6, 1)\n",
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"end_time = datetime(2025, 6, 1)\n",
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"\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, end_time=end_time)\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\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=SimpleLimitBuyStrategy,\n",
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" # current_segment_symbol=strategy_parameters['symbol'],\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=INDICATOR_LIST\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。\")\n",
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"\n",
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"# --- 4. 结果分析与可视化 (待实现) ---\n",
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"# if portfolio_snapshots:\n",
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"# analyzer = ResultAnalyzer(portfolio_snapshots, trade_history, initial_capital_result)\n",
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"# metrics = analyzer.calculate_all_metrics()\n",
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"# print(\"\\n--- 绩效指标 ---\")\n",
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"# for key, value in metrics.items():\n",
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"# print(f\" {key}: {value:.4f}\")\n",
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"#\n",
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"# print(\"\\n--- 绘制绩效图表 ---\")\n",
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"# analyzer.plot_performance()\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。\")\n",
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"\n"
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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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"初始化数据管理器...\n",
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"数据加载成功: /mnt/d/PyProject/NewQuant/data/data/KQ_m@DCE_m/KQ_m@DCE_m_min60.csv\n",
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"数据范围从 2020-12-31 14:00:00 到 2025-07-22 13:00:00\n",
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"总计 7650 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=0.0001\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: SimpleLimitBuyStrategy\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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"SimpleLimitBuyStrategy 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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"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 1671 根K线。\n",
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"总计发生了 136 笔交易。\n",
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"最终总净值: 100867.51\n",
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"总收益率: 0.87%\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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" 2024-06-11 10:00:00 | BUY | DCE.m2409 | Vol: 1 | Price: 3491.00 | Comm: 0.35\n",
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" 2024-06-11 11:00:00 | CLOSE_LONG | DCE.m2409 | Vol: 1 | Price: 3480.00 | Comm: 0.35 | PnL: -11.00\n",
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" 2024-06-12 13:00:00 | SELL | DCE.m2409 | Vol: 1 | Price: 3480.00 | Comm: 0.35\n",
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" 2024-06-13 11:00:00 | CLOSE_SHORT | DCE.m2409 | Vol: 1 | Price: 3448.00 | Comm: 0.34 | PnL: 32.00\n",
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" 2024-06-13 14:00:00 | BUY | DCE.m2409 | Vol: 1 | Price: 3436.00 | Comm: 0.34\n",
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" 2024-06-17 10:00:00 | CLOSE_LONG | DCE.m2409 | Vol: 1 | Price: 3408.00 | Comm: 0.34 | PnL: -28.00\n",
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" 2024-06-20 13:00:00 | BUY | DCE.m2409 | Vol: 1 | Price: 3355.00 | Comm: 0.34\n",
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" 2024-06-21 09:00:00 | CLOSE_LONG | DCE.m2409 | Vol: 1 | Price: 3338.00 | Comm: 0.33 | PnL: -17.00\n",
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" 2024-06-28 09:00:00 | SELL | DCE.m2409 | Vol: 1 | Price: 3375.00 | Comm: 0.34\n",
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" 2024-07-01 11:00:00 | CLOSE_SHORT | DCE.m2409 | Vol: 1 | Price: 3344.00 | Comm: 0.33 | PnL: 31.00\n",
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" 2024-07-01 13:00:00 | BUY | DCE.m2409 | Vol: 1 | Price: 3331.00 | Comm: 0.33\n",
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" 2024-07-02 10:00:00 | CLOSE_LONG | DCE.m2409 | Vol: 1 | Price: 3368.00 | Comm: 0.34 | PnL: 37.00\n",
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" 2024-07-02 13:00:00 | SELL | DCE.m2409 | Vol: 1 | Price: 3380.00 | Comm: 0.34\n",
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" 2024-07-02 21:00:00 | CLOSE_SHORT | DCE.m2409 | Vol: 1 | Price: 3404.00 | Comm: 0.34 | PnL: -24.00\n",
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" 2024-07-03 10:00:00 | BUY | DCE.m2409 | Vol: 1 | Price: 3378.00 | Comm: 0.34\n",
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" 2024-07-04 10:00:00 | CLOSE_LONG | DCE.m2409 | Vol: 1 | Price: 3366.00 | Comm: 0.34 | PnL: -12.00\n",
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" 2024-07-04 14:00:00 | BUY | DCE.m2409 | Vol: 1 | Price: 3332.00 | Comm: 0.33\n",
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" 2024-07-04 21:00:00 | CLOSE_LONG | DCE.m2409 | Vol: 1 | Price: 3309.00 | Comm: 0.33 | PnL: -23.00\n",
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" 2024-07-08 13:00:00 | BUY | DCE.m2409 | Vol: 1 | Price: 3309.00 | Comm: 0.33\n",
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" 2024-07-08 21:00:00 | CLOSE_LONG | DCE.m2409 | Vol: 1 | Price: 3295.00 | Comm: 0.33 | PnL: -14.00\n",
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" 2024-07-23 14:00:00 | BUY | DCE.m2409 | Vol: 1 | Price: 3155.00 | Comm: 0.32\n",
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" 2024-07-25 10:00:00 | CLOSE_LONG | DCE.m2409 | Vol: 1 | Price: 3139.00 | Comm: 0.31 | PnL: -16.00\n",
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" 2024-07-29 09:00:00 | BUY | DCE.m2409 | Vol: 1 | Price: 3063.00 | Comm: 0.31\n",
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" 2024-07-29 11:00:00 | CLOSE_LONG | DCE.m2409 | Vol: 1 | Price: 3092.00 | Comm: 0.31 | PnL: 29.00\n",
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" 2024-08-01 10:00:00 | BUY | DCE.m2409 | Vol: 1 | Price: 3038.00 | Comm: 0.30\n",
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" 2024-08-05 10:00:00 | CLOSE_LONG | DCE.m2409 | Vol: 1 | Price: 3081.00 | Comm: 0.31 | PnL: 43.00\n",
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" 2024-08-08 22:00:00 | BUY | DCE.m2409 | Vol: 1 | Price: 2962.00 | Comm: 0.30\n",
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" 2024-08-12 13:00:00 | CLOSE_LONG | DCE.m2409 | Vol: 1 | Price: 3000.00 | Comm: 0.30 | PnL: 38.00\n",
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" 2024-08-14 21:00:00 | SELL | DCE.m2501 | Vol: 1 | Price: 2951.00 | Comm: 0.30\n",
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" 2024-08-15 10:00:00 | CLOSE_SHORT | DCE.m2501 | Vol: 1 | Price: 2940.00 | Comm: 0.29 | PnL: 11.00\n",
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" 2024-08-19 10:00:00 | BUY | DCE.m2501 | Vol: 1 | Price: 2925.00 | Comm: 0.29\n",
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" 2024-08-22 10:00:00 | CLOSE_LONG | DCE.m2501 | Vol: 1 | Price: 2962.00 | Comm: 0.30 | PnL: 37.00\n",
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" 2024-08-26 10:00:00 | BUY | DCE.m2501 | Vol: 1 | Price: 2912.00 | Comm: 0.29\n",
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" 2024-08-27 13:00:00 | CLOSE_LONG | DCE.m2501 | Vol: 1 | Price: 2971.00 | Comm: 0.30 | PnL: 59.00\n",
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" 2024-08-30 22:00:00 | BUY | DCE.m2501 | Vol: 1 | Price: 3002.00 | Comm: 0.30\n",
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" 2024-09-03 13:00:00 | CLOSE_LONG | DCE.m2501 | Vol: 1 | Price: 3069.00 | Comm: 0.31 | PnL: 67.00\n",
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" 2024-09-19 22:00:00 | BUY | DCE.m2501 | Vol: 1 | Price: 3039.00 | Comm: 0.30\n",
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" 2024-09-23 22:00:00 | CLOSE_LONG | DCE.m2501 | Vol: 1 | Price: 3095.00 | Comm: 0.31 | PnL: 56.00\n",
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" 2024-09-25 13:00:00 | BUY | DCE.m2501 | Vol: 1 | Price: 3060.00 | Comm: 0.31\n",
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" 2024-09-25 21:00:00 | CLOSE_LONG | DCE.m2501 | Vol: 1 | Price: 3047.00 | Comm: 0.30 | PnL: -13.00\n",
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" 2024-10-08 13:00:00 | BUY | DCE.m2501 | Vol: 1 | Price: 3012.00 | Comm: 0.30\n",
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" 2024-10-09 11:00:00 | CLOSE_LONG | DCE.m2501 | Vol: 1 | Price: 3065.00 | Comm: 0.31 | PnL: 53.00\n",
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" 2024-10-09 14:00:00 | BUY | DCE.m2501 | Vol: 1 | Price: 3024.00 | Comm: 0.30\n",
|
|||
|
|
" 2024-10-10 21:00:00 | CLOSE_LONG | DCE.m2501 | Vol: 1 | Price: 3011.00 | Comm: 0.30 | PnL: -13.00\n",
|
|||
|
|
" 2024-10-17 10:00:00 | BUY | DCE.m2501 | Vol: 1 | Price: 2977.00 | Comm: 0.30\n",
|
|||
|
|
" 2024-10-17 14:00:00 | CLOSE_LONG | DCE.m2501 | Vol: 1 | Price: 2964.00 | Comm: 0.30 | PnL: -13.00\n",
|
|||
|
|
" 2024-10-24 13:00:00 | BUY | DCE.m2501 | Vol: 1 | Price: 2979.00 | Comm: 0.30\n",
|
|||
|
|
" 2024-10-25 09:00:00 | CLOSE_LONG | DCE.m2501 | Vol: 1 | Price: 2966.00 | Comm: 0.30 | PnL: -13.00\n",
|
|||
|
|
" 2024-10-25 14:00:00 | BUY | DCE.m2501 | Vol: 1 | Price: 2947.00 | Comm: 0.29\n",
|
|||
|
|
" 2024-10-28 09:00:00 | CLOSE_LONG | DCE.m2501 | Vol: 1 | Price: 2932.00 | Comm: 0.29 | PnL: -15.00\n",
|
|||
|
|
" 2024-10-28 11:00:00 | SELL | DCE.m2501 | Vol: 1 | Price: 2990.00 | Comm: 0.30\n",
|
|||
|
|
" 2024-10-28 22:00:00 | CLOSE_SHORT | DCE.m2501 | Vol: 1 | Price: 2970.00 | Comm: 0.30 | PnL: 20.00\n",
|
|||
|
|
" 2024-10-30 13:00:00 | SELL | DCE.m2501 | Vol: 1 | Price: 2992.00 | Comm: 0.30\n",
|
|||
|
|
" 2024-10-30 21:00:00 | CLOSE_SHORT | DCE.m2501 | Vol: 1 | Price: 3015.00 | Comm: 0.30 | PnL: -23.00\n",
|
|||
|
|
" 2024-11-01 22:00:00 | BUY | DCE.m2501 | Vol: 1 | Price: 2960.00 | Comm: 0.30\n",
|
|||
|
|
" 2024-11-04 11:00:00 | CLOSE_LONG | DCE.m2501 | Vol: 1 | Price: 2999.00 | Comm: 0.30 | PnL: 39.00\n",
|
|||
|
|
" 2024-11-05 14:00:00 | BUY | DCE.m2501 | Vol: 1 | Price: 2957.00 | Comm: 0.30\n",
|
|||
|
|
" 2024-11-06 10:00:00 | CLOSE_LONG | DCE.m2501 | Vol: 1 | Price: 2994.00 | Comm: 0.30 | PnL: 37.00\n",
|
|||
|
|
" 2024-11-08 13:00:00 | BUY | DCE.m2501 | Vol: 1 | Price: 3030.00 | Comm: 0.30\n",
|
|||
|
|
" 2024-11-11 10:00:00 | CLOSE_LONG | DCE.m2501 | Vol: 1 | Price: 3079.00 | Comm: 0.31 | PnL: 49.00\n",
|
|||
|
|
" 2024-12-03 09:00:00 | BUY | DCE.m2505 | Vol: 1 | Price: 2746.00 | Comm: 0.27\n",
|
|||
|
|
" 2024-12-04 10:00:00 | CLOSE_LONG | DCE.m2505 | Vol: 1 | Price: 2731.00 | Comm: 0.27 | PnL: -15.00\n",
|
|||
|
|
" 2024-12-09 14:00:00 | SELL | DCE.m2505 | Vol: 1 | Price: 2681.00 | Comm: 0.27\n",
|
|||
|
|
" 2024-12-10 13:00:00 | CLOSE_SHORT | DCE.m2505 | Vol: 1 | Price: 2667.00 | Comm: 0.27 | PnL: 14.00\n",
|
|||
|
|
" 2024-12-19 11:00:00 | BUY | DCE.m2505 | Vol: 1 | Price: 2551.00 | Comm: 0.26\n",
|
|||
|
|
" 2024-12-20 10:00:00 | CLOSE_LONG | DCE.m2505 | Vol: 1 | Price: 2601.00 | Comm: 0.26 | PnL: 50.00\n",
|
|||
|
|
" 2024-12-23 13:00:00 | BUY | DCE.m2505 | Vol: 1 | Price: 2616.00 | Comm: 0.26\n",
|
|||
|
|
" 2024-12-24 11:00:00 | CLOSE_LONG | DCE.m2505 | Vol: 1 | Price: 2630.00 | Comm: 0.26 | PnL: 14.00\n",
|
|||
|
|
" 2024-12-30 14:00:00 | SELL | DCE.m2505 | Vol: 1 | Price: 2681.00 | Comm: 0.27\n",
|
|||
|
|
" 2024-12-30 22:00:00 | CLOSE_SHORT | DCE.m2505 | Vol: 1 | Price: 2706.00 | Comm: 0.27 | PnL: -25.00\n",
|
|||
|
|
" 2025-01-02 21:00:00 | BUY | DCE.m2505 | Vol: 1 | Price: 2706.00 | Comm: 0.27\n",
|
|||
|
|
" 2025-01-03 14:00:00 | CLOSE_LONG | DCE.m2505 | Vol: 1 | Price: 2693.00 | Comm: 0.27 | PnL: -13.00\n",
|
|||
|
|
" 2025-01-06 09:00:00 | SELL | DCE.m2505 | Vol: 1 | Price: 2690.00 | Comm: 0.27\n",
|
|||
|
|
" 2025-01-06 10:00:00 | CLOSE_SHORT | DCE.m2505 | Vol: 1 | Price: 2701.00 | Comm: 0.27 | PnL: -11.00\n",
|
|||
|
|
" 2025-01-07 11:00:00 | BUY | DCE.m2505 | Vol: 1 | Price: 2644.00 | Comm: 0.26\n",
|
|||
|
|
" 2025-01-08 22:00:00 | CLOSE_LONG | DCE.m2505 | Vol: 1 | Price: 2632.00 | Comm: 0.26 | PnL: -12.00\n",
|
|||
|
|
" 2025-01-10 09:00:00 | SELL | DCE.m2505 | Vol: 1 | Price: 2652.00 | Comm: 0.27\n",
|
|||
|
|
" 2025-01-10 21:00:00 | CLOSE_SHORT | DCE.m2505 | Vol: 1 | Price: 2665.00 | Comm: 0.27 | PnL: -13.00\n",
|
|||
|
|
" 2025-01-17 09:00:00 | SELL | DCE.m2505 | Vol: 1 | Price: 2753.00 | Comm: 0.28\n",
|
|||
|
|
" 2025-01-17 10:00:00 | CLOSE_SHORT | DCE.m2505 | Vol: 1 | Price: 2769.00 | Comm: 0.28 | PnL: -16.00\n",
|
|||
|
|
" 2025-01-23 10:00:00 | BUY | DCE.m2505 | Vol: 1 | Price: 2836.00 | Comm: 0.28\n",
|
|||
|
|
" 2025-01-24 22:00:00 | CLOSE_LONG | DCE.m2505 | Vol: 1 | Price: 2824.00 | Comm: 0.28 | PnL: -12.00\n",
|
|||
|
|
" 2025-02-06 22:00:00 | BUY | DCE.m2505 | Vol: 1 | Price: 2876.00 | Comm: 0.29\n",
|
|||
|
|
" 2025-02-10 10:00:00 | CLOSE_LONG | DCE.m2505 | Vol: 1 | Price: 2936.00 | Comm: 0.29 | PnL: 60.00\n",
|
|||
|
|
" 2025-02-10 13:00:00 | BUY | DCE.m2505 | Vol: 1 | Price: 2910.00 | Comm: 0.29\n",
|
|||
|
|
" 2025-02-10 14:00:00 | CLOSE_LONG | DCE.m2505 | Vol: 1 | Price: 2898.00 | Comm: 0.29 | PnL: -12.00\n",
|
|||
|
|
" 2025-02-12 13:00:00 | BUY | DCE.m2505 | Vol: 1 | Price: 2837.00 | Comm: 0.28\n",
|
|||
|
|
" 2025-02-13 09:00:00 | CLOSE_LONG | DCE.m2505 | Vol: 1 | Price: 2821.00 | Comm: 0.28 | PnL: -16.00\n",
|
|||
|
|
" 2025-02-13 21:00:00 | SELL | DCE.m2505 | Vol: 1 | Price: 2860.00 | Comm: 0.29\n",
|
|||
|
|
" 2025-02-14 09:00:00 | CLOSE_SHORT | DCE.m2505 | Vol: 1 | Price: 2880.00 | Comm: 0.29 | PnL: -20.00\n",
|
|||
|
|
" 2025-02-14 13:00:00 | SELL | DCE.m2505 | Vol: 1 | Price: 2894.00 | Comm: 0.29\n",
|
|||
|
|
" 2025-02-14 22:00:00 | CLOSE_SHORT | DCE.m2505 | Vol: 1 | Price: 2864.00 | Comm: 0.29 | PnL: 30.00\n",
|
|||
|
|
" 2025-02-18 21:00:00 | SELL | DCE.m2505 | Vol: 1 | Price: 2888.00 | Comm: 0.29\n",
|
|||
|
|
" 2025-02-19 21:00:00 | CLOSE_SHORT | DCE.m2505 | Vol: 1 | Price: 2909.00 | Comm: 0.29 | PnL: -21.00\n",
|
|||
|
|
" 2025-02-24 11:00:00 | BUY | DCE.m2505 | Vol: 1 | Price: 2924.00 | Comm: 0.29\n",
|
|||
|
|
" 2025-02-24 13:00:00 | CLOSE_LONG | DCE.m2505 | Vol: 1 | Price: 2913.00 | Comm: 0.29 | PnL: -11.00\n",
|
|||
|
|
" 2025-02-25 09:00:00 | SELL | DCE.m2505 | Vol: 1 | Price: 2914.00 | Comm: 0.29\n",
|
|||
|
|
" 2025-02-25 14:00:00 | CLOSE_SHORT | DCE.m2505 | Vol: 1 | Price: 2926.00 | Comm: 0.29 | PnL: -12.00\n",
|
|||
|
|
" 2025-02-25 21:00:00 | BUY | DCE.m2505 | Vol: 1 | Price: 2875.00 | Comm: 0.29\n",
|
|||
|
|
" 2025-02-27 13:00:00 | CLOSE_LONG | DCE.m2505 | Vol: 1 | Price: 2939.00 | Comm: 0.29 | PnL: 64.00\n",
|
|||
|
|
" 2025-03-04 10:00:00 | BUY | DCE.m2505 | Vol: 1 | Price: 2961.00 | Comm: 0.30\n",
|
|||
|
|
" 2025-03-04 22:00:00 | CLOSE_LONG | DCE.m2505 | Vol: 1 | Price: 2948.00 | Comm: 0.29 | PnL: -13.00\n",
|
|||
|
|
" 2025-03-10 09:00:00 | SELL | DCE.m2505 | Vol: 1 | Price: 2959.00 | Comm: 0.30\n",
|
|||
|
|
" 2025-03-10 11:00:00 | CLOSE_SHORT | DCE.m2505 | Vol: 1 | Price: 2942.00 | Comm: 0.29 | PnL: 17.00\n",
|
|||
|
|
" 2025-03-10 21:00:00 | BUY | DCE.m2505 | Vol: 1 | Price: 2900.00 | Comm: 0.29\n",
|
|||
|
|
" 2025-03-10 22:00:00 | CLOSE_LONG | DCE.m2505 | Vol: 1 | Price: 2875.00 | Comm: 0.29 | PnL: -25.00\n",
|
|||
|
|
" 2025-03-12 09:00:00 | BUY | DCE.m2505 | Vol: 1 | Price: 2833.00 | Comm: 0.28\n",
|
|||
|
|
" 2025-03-13 10:00:00 | CLOSE_LONG | DCE.m2505 | Vol: 1 | Price: 2866.00 | Comm: 0.29 | PnL: 33.00\n",
|
|||
|
|
" 2025-03-20 13:00:00 | BUY | DCE.m2505 | Vol: 1 | Price: 2901.00 | Comm: 0.29\n",
|
|||
|
|
" 2025-03-20 14:00:00 | CLOSE_LONG | DCE.m2505 | Vol: 1 | Price: 2871.00 | Comm: 0.29 | PnL: -30.00\n",
|
|||
|
|
" 2025-03-25 09:00:00 | SELL | DCE.m2505 | Vol: 1 | Price: 2877.00 | Comm: 0.29\n",
|
|||
|
|
" 2025-03-25 11:00:00 | CLOSE_SHORT | DCE.m2505 | Vol: 1 | Price: 2863.00 | Comm: 0.29 | PnL: 14.00\n",
|
|||
|
|
" 2025-03-26 10:00:00 | BUY | DCE.m2505 | Vol: 1 | Price: 2851.00 | Comm: 0.29\n",
|
|||
|
|
" 2025-03-26 13:00:00 | CLOSE_LONG | DCE.m2505 | Vol: 1 | Price: 2828.00 | Comm: 0.28 | PnL: -23.00\n",
|
|||
|
|
" 2025-04-01 09:00:00 | BUY | DCE.m2505 | Vol: 1 | Price: 2792.00 | Comm: 0.28\n",
|
|||
|
|
" 2025-04-02 11:00:00 | CLOSE_LONG | DCE.m2505 | Vol: 1 | Price: 2838.00 | Comm: 0.28 | PnL: 46.00\n",
|
|||
|
|
" 2025-04-03 09:00:00 | SELL | DCE.m2505 | Vol: 1 | Price: 2847.00 | Comm: 0.28\n",
|
|||
|
|
" 2025-04-03 13:00:00 | CLOSE_SHORT | DCE.m2505 | Vol: 1 | Price: 2842.00 | Comm: 0.28 | PnL: 5.00\n",
|
|||
|
|
" 2025-04-09 21:00:00 | BUY | DCE.m2509 | Vol: 1 | Price: 3098.00 | Comm: 0.31\n",
|
|||
|
|
" 2025-04-10 10:00:00 | CLOSE_LONG | DCE.m2509 | Vol: 1 | Price: 3079.00 | Comm: 0.31 | PnL: -19.00\n",
|
|||
|
|
" 2025-04-15 11:00:00 | BUY | DCE.m2509 | Vol: 1 | Price: 3070.00 | Comm: 0.31\n",
|
|||
|
|
" 2025-04-15 21:00:00 | CLOSE_LONG | DCE.m2509 | Vol: 1 | Price: 3059.00 | Comm: 0.31 | PnL: -11.00\n",
|
|||
|
|
" 2025-04-16 10:00:00 | BUY | DCE.m2509 | Vol: 1 | Price: 3048.00 | Comm: 0.30\n",
|
|||
|
|
" 2025-04-16 11:00:00 | CLOSE_LONG | DCE.m2509 | Vol: 1 | Price: 3034.00 | Comm: 0.30 | PnL: -14.00\n",
|
|||
|
|
" 2025-04-18 21:00:00 | SELL | DCE.m2509 | Vol: 1 | Price: 3034.00 | Comm: 0.30\n",
|
|||
|
|
" 2025-04-21 09:00:00 | CLOSE_SHORT | DCE.m2509 | Vol: 1 | Price: 3053.00 | Comm: 0.31 | PnL: -19.00\n",
|
|||
|
|
" 2025-04-29 14:00:00 | BUY | DCE.m2509 | Vol: 1 | Price: 2964.00 | Comm: 0.30\n",
|
|||
|
|
" 2025-04-30 10:00:00 | CLOSE_LONG | DCE.m2509 | Vol: 1 | Price: 2952.00 | Comm: 0.30 | PnL: -12.00\n",
|
|||
|
|
" 2025-05-12 09:00:00 | BUY | DCE.m2509 | Vol: 1 | Price: 2876.00 | Comm: 0.29\n",
|
|||
|
|
" 2025-05-12 11:00:00 | CLOSE_LONG | DCE.m2509 | Vol: 1 | Price: 2894.00 | Comm: 0.29 | PnL: 18.00\n",
|
|||
|
|
" 2025-05-14 09:00:00 | SELL | DCE.m2509 | Vol: 1 | Price: 2913.00 | Comm: 0.29\n",
|
|||
|
|
" 2025-05-14 13:00:00 | CLOSE_SHORT | DCE.m2509 | Vol: 1 | Price: 2906.00 | Comm: 0.29 | PnL: 7.00\n",
|
|||
|
|
" 2025-05-29 09:00:00 | BUY | DCE.m2509 | Vol: 1 | Price: 2938.00 | Comm: 0.29\n",
|
|||
|
|
" 2025-05-30 10:00:00 | CLOSE_LONG | DCE.m2509 | Vol: 1 | Price: 2981.00 | Comm: 0.30 | PnL: 43.00\n",
|
|||
|
|
" 2025-05-30 14:00:00 | BUY | DCE.m2509 | Vol: 1 | Price: 2959.00 | Comm: 0.30\n",
|
|||
|
|
" 2025-05-30 14:00:00 | CLOSE_LONG | DCE.m2509 | Vol: 1 | Price: 2970.00 | Comm: 0.30 | PnL: 11.00\n",
|
|||
|
|
"正在计算绩效指标...\n",
|
|||
|
|
"total_return: 0.008578116000000247, annualized_return:0.00598032173489349, 252 / total_days:0.6980609418282548\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 : 100857.81\n",
|
|||
|
|
"总收益率 : 0.86%\n",
|
|||
|
|
"年化收益率 : 0.60%\n",
|
|||
|
|
"最大回撤 : 0.22%\n",
|
|||
|
|
"夏普比率 : 0.71\n",
|
|||
|
|
"卡玛比率 : 2.67\n",
|
|||
|
|
"总交易次数 : 136\n",
|
|||
|
|
"总实现盈亏 : 454.00\n",
|
|||
|
|
"交易成本 : 40.49\n",
|
|||
|
|
"\n",
|
|||
|
|
"--- 交易详情 ---\n",
|
|||
|
|
"盈利交易次数 : 31\n",
|
|||
|
|
"亏损交易次数 : 37\n",
|
|||
|
|
"胜率 : 45.59%\n",
|
|||
|
|
"盈亏比 : 2.08\n",
|
|||
|
|
"平均每次盈利 : 34.32\n",
|
|||
|
|
"平均每次亏损 : -16.49\n",
|
|||
|
|
"正在绘制绩效图表...\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1400x1000 with 2 Axes>"
|
|||
|
|
],
|
|||
|
|
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|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1400x700 with 1 Axes>"
|
|||
|
|
],
|
|||
|
|
"image/png": "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
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"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(100857.81160000002), '总收益率': np.float64(0.008578116000000247), '年化收益率': np.float64(0.00598032173489349), '最大回撤': np.float64(0.002240886684596536), '夏普比率': np.float64(0.709898415026624), '卡玛比率': np.float64(2.6687300951008273), '总交易次数': 136, '交易成本': 40.4854, '总实现盈亏': 454.0, '胜率': 0.45588235294117646, '盈亏比': 2.0818614489687994, '盈利交易次数': 31, '亏损交易次数': 37, '平均每次盈利': 34.32258064516129, '平均每次亏损': -16.486486486486488, 'initial_capital': 100000.0, 'final_capital': np.float64(100857.81160000002), 'total_return': np.float64(0.008578116000000247), 'annualized_return': np.float64(0.00598032173489349), 'max_drawdown': np.float64(0.002240886684596536), 'sharpe_ratio': np.float64(0.709898415026624), 'calmar_ratio': np.float64(2.6687300951008273), 'total_trades': 136, 'transaction_costs': 40.4854, 'total_realized_pnl': 454.0, 'win_rate': 0.45588235294117646, 'profit_loss_ratio': 2.0818614489687994, 'winning_trades_count': 31, 'losing_trades_count': 37, 'avg_profit_per_trade': 34.32258064516129, 'avg_loss_per_trade': -16.486486486486488}\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1200x700 with 1 Axes>"
|
|||
|
|
],
|
|||
|
|
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|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1200x700 with 1 Axes>"
|
|||
|
|
],
|
|||
|
|
"image/png": "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
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1200x700 with 1 Axes>"
|
|||
|
|
],
|
|||
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|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1200x700 with 1 Axes>"
|
|||
|
|
],
|
|||
|
|
"image/png": "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
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1200x700 with 1 Axes>"
|
|||
|
|
],
|
|||
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|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1200x700 with 1 Axes>"
|
|||
|
|
],
|
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|
"image/png": "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
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1200x700 with 1 Axes>"
|
|||
|
|
],
|
|||
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|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1200x700 with 1 Axes>"
|
|||
|
|
],
|
|||
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|
"image/png": "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
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1200x700 with 1 Axes>"
|
|||
|
|
],
|
|||
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|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1200x700 with 1 Axes>"
|
|||
|
|
],
|
|||
|
|
"image/png": "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
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1200x700 with 1 Axes>"
|
|||
|
|
],
|
|||
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"<Figure size 1200x700 with 1 Axes>"
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],
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"image/png": "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},
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"metadata": {},
|
|||
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"output_type": "display_data"
|
|||
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},
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|||
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|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1200x700 with 1 Axes>"
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|||
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],
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|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1200x700 with 1 Axes>"
|
|||
|
|
],
|
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"image/png": "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
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1200x700 with 1 Axes>"
|
|||
|
|
],
|
|||
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|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1200x700 with 1 Axes>"
|
|||
|
|
],
|
|||
|
|
"image/png": "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
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1200x700 with 1 Axes>"
|
|||
|
|
],
|
|||
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"image/png": "iVBORw0KGgoAAAANSUhEUgAABJ8AAAK1CAYAAABmak8bAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjMsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvZiW1igAAAAlwSFlzAAAPYQAAD2EBqD+naQABAABJREFUeJzs3Xd4VGXax/HvmZ5JI01CDUgUFVBABFERZW2oWNe21rW7xroWZF3FXtYurg27rqgrtlVRXwtir2DBRq8JpEDKZPp5/5jMQCBASCaZzMzvc125OJl5Zs49c2bCnHvu534M0zRNREREREREREREOoAl0QGIiIiIiIiIiEjqUvJJREREREREREQ6jJJPIiIiIiIiIiLSYZR8EhERERERERGRDqPkk4iIiIiIiIiIdBgln0REREREREREpMMo+SQiIiIiIiIiIh1GyScREREREREREekwSj6JiIiIiIiIiEiHUfJJRESS0sCBA7n++uvbfT/Lli1j4MCBPPbYY3GISr788ksGDhzIl19+mehQpJVOPvlkTj755Lje5/3338/AgQPjep9dXUuv/YkTJzJu3LhOjSP6N2369Omdul8REZHNsSU6ABERSS1vvPEGVVVVnHbaaYkOpVM1NjYyffp03n//fX7//XcaGhooKSnh2GOP5bjjjsNqtTYb/+CDDzJnzhx++OEHqqqqKCsr44ILLtjq/S5btow//elPLV531113ccghh2zythMmTKCuro4PP/wQwzBaHHP88cezZMkSPv74Y2w2fWzYlF9++YXHHnuMr7/+mqqqKtxuNzvttBMTJkzgiCOO2Oj4p4LGxkamTp3KyJEjGTVqVKLDASJJrylTpsR+t9lsdO/enXHjxnHhhReSk5OTwOi6li+//JJTTjkl9rvNZqO4uJhdd92VCy64gD59+mz1fY4bN47tttuOhx9+OJ6hiohICtCnSBERiav//e9//PHHH2mXfFq6dCk33HADo0eP5rTTTiMrK4tPPvmE6667jjlz5nDbbbc1G3/PPfdQVFTEjjvuyCeffNLu/R966KHsvffezS4bOnToZm8zYcIE7rzzTr755ht22223ja5ftmwZs2fP5qSTTlLiaTNeeuklrr32WgoKCjj88MMpKSmhoaGBL774gn/84x+sXr2ac889N9Fhxl1jYyNTpkyhrKxso+TTeeedx9lnn52gyGDy5Mm43W4aGxv5/PPPeeaZZ/j55595/vnnOzWOG264AdM0O3WfW+vkk09myJAhBINB5s6dywsvvMDMmTN5/fXX6d69e6LDExGRFKFPkiIiInFQWFjIG2+8wXbbbRe77Pjjj+eqq65i+vTp/O1vf6OkpCR23fvvv0/v3r2prq5m9OjR7d7/TjvtxOGHH75Vt5kwYQJ33XUXb7zxRovJpzfffBPTNJkwYUK740tVs2fP5tprr2Xo0KE88sgjZGVlxa477bTT+PHHH/njjz8SGGFi2Gy2hCYsDzzwQPLz84HI+/CSSy7hrbfe4ocffmDnnXfutDjsdnun7autRowYwUEHHQTA0UcfTb9+/bjxxht59dVXOeeccxIcnYiIpAr1fBIRkVarr6/npptuYty4cQwePJjRo0fz17/+lZ9//hmIfIP+0UcfsXz5cgYOHMjAgQOb9Tupqqpi0qRJ7LHHHgwZMoTDDjuMV155ZaP9hMNhnnrqKSZMmMCQIUPYfffdOeOMM/jxxx83Gvt///d/HHrooQwePJhDDjmEjz/+uN2P0zRN/vnPfzJ48GDefffdVt0mPz+/WeIpav/99wdg/vz5zS7v3bt3u+PckMfjwe/3t3p8jx492G233XjnnXcIBAIbXf+///2Pvn37sssuu7B8+XImT57MgQceyM4778yoUaO48MILWbZs2Rb3M27cOCZOnLjR5S31GvL7/dx3333sv//+DB48mLFjx3L77bdv8XFdf/31DBs2jMbGxo2uu/TSS9lzzz0JhUIA/Pjjj5xxxhmMGjWKnXfemXHjxnHVVVdt8XG0ZMqUKRiGwR133NEs8RQ1ZMgQjjrqKGDT/bBa6tEzceJEhg0bxooVKzjnnHMYNmwYY8aM4bnnngPgt99+45RTTmHo0KHsu+++vPHGG83uc1M9l6ZPn87AgQM3e9z8fj/33nsvRx11FLvuuitDhw7lL3/5C1988UWzmKNJ0ylTpsTe7/fff3+L+z/00ENb7CsVDocZM2YMF154YbPLnnzySQ455BCGDBnCHnvswTXXXMPatWs3GfOWjBgxAoAlS5Y0u3zOnDmcccYZ7Lrrruyyyy6cdNJJfPvtt83GtOe1v2HPp5NPPjn2XG34s/7xr62t5aabbmLs2LEMHjyY/fffn0ceeYRwONzs/mtra5k4cSK77rorI0aM4Morr6Surm6rn5/17b777gCxxxc9losXL2bixImMGDGCXXfdlauuuqrF95uIiEhLVPkkIiKtdu211/LOO+9w0kknMWDAANasWcO3337L/PnzGTRoEOeeey51dXWUl5fHTuYzMzMB8Hq9nHzyySxZsoQTTzyR3r17M2PGDCZOnEhtbS2nnnpqbD//+Mc/mD59OnvvvTd//vOfCYVCfPPNN8yZM4chQ4bExn377be8++67/OUvfyEzM5NnnnmGCy+8kA8//JC8vLw2PcZQKMSkSZN46623mDJlCvvss0/bnzCgsrISoM3xtNaUKVO4/fbbMQyDQYMGcckll7DXXntt8XYTJkzgn//8J5988gn77rtv7PLffvuN33//nfPPPx+IJGy+//57DjnkEIqLi1m+fDnPP/88p5xyCm+++SYZGRntfgzhcJjzzjuPb7/9lmOPPZYBAwbw+++/89RTT7Fo0SL+/e9/b/K2Bx98MM899xwfffQR48ePj13e2NjIhx9+yJFHHonVaqWqqoozzjiDvLw8zj77bHJycli2bBnvvffeVsfb2NjIF198wYgRI+jZs2ebHvPmhEIhzjrrLEaMGMFll13GG2+8wfXXX09GRgZ33303EyZM4IADDmDatGlceeWVDB06tE19ejZUX1/PSy+9xKGHHsoxxxxDQ0MD//3vfznzzDN56aWX2HHHHcnPz2fy5MlMnjyZ/fffP5Zk3VST8fHjxzNlyhRWr15NUVFR7PJvv/2WVatWcfDBB8cuu+aaa3jllVc46qijOPnkk1m2bBnPPfccc+fO5fnnn29TNVE0kbJ+z6fPP/+cs846i8GDB1NWVoZhGEyfPp1TTz2V//znP7EKqXi+9s8991z+/Oc/N7vs9ddf55NPPqGgoACIvK5OOukkKioqOP744+nRowfff/89d911F6tXr+Yf//gHEEmS/+1vf+Pbb7/l+OOPZ8CAAbz33ntceeWVW/38rC+aoOvWrVuzyy+++GJ69+7NpZdeyty5c3nppZfIz8/n8ssvb9f+REQkPSj5JCIirTZz5kyOPfbYZlUsZ511Vmx7zz335Omnn6a2tnajKWAvvPAC8+fP51//+heHHXYYEJkOc/LJJ3PPPfdw9NFHk5WVxRdffMH06dM5+eSTufrqq2O3P/300zfqnTJ//nzeeust+vbtC8CoUaM4/PDDefPNNznppJO2+vEFg0Euv/xyPvjgAx588MFWJW82x+/389RTT9G7d+9mSbN4slgs7LXXXuy33350796dpUuX8uSTT3LWWWfx4IMPbjF5duCBB3LDDTfwv//9r1ny6X//+x9AbMrdPvvsE5uaE7Xvvvty3HHH8c4773DEEUe0+7G88cYbfPbZZzzzzDOxShWA7bbbjmuvvZbvvvuO4cOHt3jbXXfdle7du/P22283Sz599NFHeDyeWHLj+++/Z+3atTz22GPNjskll1yy1fEuXryYQCDA9ttvv9W3bQ2fz8dhhx0Wm/o0YcIExowZw6RJk7jrrrtij2mPPfZg/PjxvPrqq21qWr+h3NxcPvjgAxwOR+yyY489lvHjx/PMM89w880343a7OfDAA5k8eTIDBw7c4pTPgw8+mPvuuy+WvI566623cLvdsdfpN998w0svvcQdd9zRbLrnqFGjOPPMM5kxY0arpoFGq6S
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1200x700 with 1 Axes>"
|
|||
|
|
],
|
|||
|
|
"image/png": "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
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1200x700 with 1 Axes>"
|
|||
|
|
],
|
|||
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|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1200x700 with 1 Axes>"
|
|||
|
|
],
|
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"image/png": "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
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1200x700 with 1 Axes>"
|
|||
|
|
],
|
|||
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|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1200x700 with 1 Axes>"
|
|||
|
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],
|
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"image/png": "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
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1200x700 with 1 Axes>"
|
|||
|
|
],
|
|||
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|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1200x700 with 1 Axes>"
|
|||
|
|
],
|
|||
|
|
"image/png": "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
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1200x700 with 1 Axes>"
|
|||
|
|
],
|
|||
|
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|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1200x700 with 1 Axes>"
|
|||
|
|
],
|
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"image/png": "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
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1200x700 with 1 Axes>"
|
|||
|
|
],
|
|||
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},
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"metadata": {},
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|||
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"output_type": "display_data"
|
|||
|
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},
|
|||
|
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{
|
|||
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"data": {
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|
|
"text/plain": [
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|||
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"<Figure size 1200x700 with 1 Axes>"
|
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],
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"image/png": "iVBORw0KGgoAAAANSUhEUgAABKYAAAK1CAYAAADyjObpAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjMsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvZiW1igAAAAlwSFlzAAAPYQAAD2EBqD+naQABAABJREFUeJzs3Xd4VGX6//HPmZ4KhARCkCYIFkCaBQVRrKi4lt3VXeuKa0UUK/bGYll1XcW1IRbUtay9oj9s+LUgKmIDRXoLJAFSJtPP74/DDIQMkDKTmUzer+vy8mTOk3PuzJkZcu7cz/0YpmmaAgAAAAAAAFqYLdUBAAAAAAAAoG0iMQUAAAAAAICUIDEFAAAAAACAlCAxBQAAAAAAgJQgMQUAAAAAAICUIDEFAAAAAACAlCAxBQAAAAAAgJQgMQUAAAAAAICUIDEFAAAAAACAlCAxBQCt3AMPPKB+/fqpoqJip2P79eunW2+9tQWiQiJ89dVX6tevn7766qtUh4IGOv3003X66acn9JjR93hbEu+1P2nSJI0ePbpF41i5cqX69eunV155pUXPCwBAW+JIdQAAgLajpqZGjz/+uL7//nv98MMP2rRpk26//XadeOKJccf//vvvmjJlir799ls5nU6NGjVK11xzjQoKChp13s8++0zvvPOO5s+fr99//11dunTRhx9+WG/cypUrdeihh8Y9xr333qtjjjlmu+cYO3asqqqq9NFHH8kwjLhjTjnlFC1fvlyffvqpHA7+Cd6eX375RY8//ri+/vprlZeXKzs7W3vuuafGjh2r448/Xna7PdUhJlxtba2mTZumfffdV/vtt1+qw5FkJcSmTp0a+9rhcKhz584aPXq0JkyYoPz8/BRGl16++uornXHGGbGvHQ6HiouLNXToUF188cXq1q1bo485evRo7bbbbnrkkUcSGSoAAGmH34oBAC1mw4YNevDBB1VSUqJ+/fppzpw52x27du1anXrqqcrLy9PEiRPl9Xo1ffp0/frrr3rppZfkcrkafN633npL77zzjvbcc0916tRpp+OPPfZYHXTQQXUeGzRo0A6/Z+zYsbrnnns0d+5c7bPPPvX2r1y5UvPmzdNpp51GUmoHXnrpJd10003q2LGj/vCHP6hHjx6qqanRl19+qeuuu07r16/X+eefn+owE662tlZTp07V+PHj6yWmLrjgAp177rkpiky6+eablZ2drdraWn3xxReaMWOGfvrpJ/33v/9t0Thuu+02mabZoudsrNNPP10DBgxQKBTSzz//rBdeeEGffPKJ3njjDXXu3DnV4QEAkJb4zRgA0GI6deqkzz77TEVFRfrhhx/0xz/+cbtjH374YdXW1uqVV15RSUmJJGngwIH629/+pldffVUnn3xyg887ceJE3XbbbXI6nTrvvPP022+/7XD8nnvuqT/84Q8NPr5kJabuvfdevfnmm3ETU2+//bZM09TYsWMbddy2ZN68ebrppps0aNAgPfroo8rNzY3tO+uss/TDDz/s9NplIofDkdJk5pFHHhmrUjzllFM0ceLEWAXiwIEDWywOp9PZYudqqmHDhumoo46SJJ100knq2bOnJk+erNdee03nnXdeiqMDACA90WMKADLEhg0bdMkll2jIkCHab7/9NHnyZPn9/rhj33jjDR155JEaMGCATjzxRH399dexfQsWLFC/fv00a9as2GM//vij+vXrpxNOOKHOcc455xz96U9/anCMLpdLRUVFDRr7/vvv6+CDD44lpSTpgAMOUM+ePfXuu+82+JyS1Llz50bf1Hq9XgUCgQaP79Kli/bZZx/NnDlTwWCw3v633npL3bt31957761Vq1bp5ptv1pFHHqmBAwdqv/3204QJE7Ry5cqdnmf06NGaNGlSvcfj9TYKBAK6//77dfjhh6t///4aNWqU7rrrrp3+XLfeeqsGDx6s2traevsuu+wyHXjggQqHw5KkH374QePGjdN+++2ngQMHavTo0brmmmt2+nPEM3XqVBmGobvvvrtOUioq+nqVtt9/K15PoEmTJmnw4MFavXq1zjvvPA0ePFgjR47Us88+K0lauHChzjjjDA0aNEiHHHKI3nzzzTrH3F6Pp1deeUX9+vXb4XULBAL697//rRNPPFFDhw7VoEGD9Ne//lVffvllnZiHDx8eew769eunfv366YEHHoh7/mOPPTZuH6tIJKKRI0dqwoQJdR578skndcwxx2jAgAE64IADdOONN2rTpk3bjXlnhg0bJklavnx5nce///57jRs3TkOHDtXee++t0047Td98802dMc157W/bY+r000+PPVfb/rf19a+srNQ//vEPjRo1Sv3799fhhx+uRx99VJFIpM7xKysrNWnSJA0dOlTDhg3T1VdfraqqqkY/P1vbf//9JSn280Wv5bJlyzRp0iQNGzZMQ4cO1TXXXBP3/QYAQFtAYgoAMsSll14qv9+vyy+/XAcddJBmzJihG264od64r7/+WlOmTNFxxx2nCRMmaOPGjTrnnHP066+/SpL69u2r/Px8zZ07N/Y9c+fOlc1m04IFC1RdXS3JuuH97rvvYjepiVRaWqry8nL179+/3r6BAwfql19+Sfg5tzZ16lQNHjxYAwcO1EknnaTPPvusQd83duxYbdy4sd74hQsX6tdff41VS/3www/67rvvdMwxx+j666/XKaecoi+//FJnnHFGwm5OI5GILrjgAk2fPl2HHHKIbrjhBh122GF66qmndOmll+7we48++mh5vV59/PHHdR6vra3VRx99pCOPPFJ2u13l5eUaN26cVq5cqXPPPVc33HCDxo4dq++//77R8dbW1urLL7/UsGHD6iQjEyUcDuvvf/+7iouLdcUVV6hr16669dZb9corr+icc85R//79dcUVVygnJ0dXX321VqxYkZDzVldX66WXXtK+++6rK664QuPHj1dFRYXOOeec2Ou4oKBAN998syTp8MMP11133aW77rpLhx9+eNxjjhkzRnPnztX69evrPP7NN99o3bp1Ovroo2OP3XjjjfrnP/+pIUOG6LrrrtOJJ56oN998U+PGjYubQG2IaJJl6x5TX3zxhU499VTV1NRo/PjxmjhxoiorK3XmmWdq/vz5sXGJfO2ff/75secq+t+IESMkSR07dpRkva5OO+00vfHGGzr++ON1/fXXa8iQIbr33nt1++23x45lmqYuvPBCvf766zruuON06aWXau3atbr66qub9BxFRZN37du3r/P4pZdeqpqaGl122WUaM2aMXnnllTr9vAAAaEuYygcAGWKXXXbRQw89JEk69dRTlZubq+eee05nn322dt9999i4X3/9VS+//HIs6XPMMcfoqKOO0v3336+pU6fKZrNpyJAhdRJT33zzjQ477DDNmjVL3377rQ466KBYkioZial169ZJUtzqqqKiIm3cuFGBQKBRfaYawmazacSIETrssMPUuXNnrVixQk8++aT+/ve/66GHHtLBBx+8w+8/8sgjddttt+mtt97SIYccEnv8rbfekqRYYurggw+OTfeJOuSQQ3TyySdr5syZOv7445v9s7z55pv6/PPPNWPGjDrXaLfddtNNN92kb7/9VkOGDIn7vUOHDlXnzp317rvvasyYMbHHP/74Y3m93lji47vvvtOmTZv0+OOPa8CAAbFxEydObHS8y5YtUzAYVN++fRv9vQ3h9/t13HHHxaZTjR07ViNHjtS1116re++9N/YzHXDAARozZoxee+01XXzxxc0+b7t27fThhx/Wea3++c9/1pgxYzRjxgxNmTJF2dnZOvLII3XzzTerX79+O51GevTRR+v+++/XzJkzddppp8Uef+edd5SdnR17nc6dO1cvvfSS7r777jpTSPfbbz+dc845eu+99xo0tTRaXRVNHj733HMqKCiITVk1TVM333yz9ttvP02bNi3W/P+UU07RMccco/vuu0/Tp0+XlNjX/oEHHljn62+//VZfffWVTjrpJI0aNUqS9MQTT2jFihV69dVX1bNnz1hcnTp10uOPP66zzz5bXbp00axZs/T111/ryiuv1DnnnCNJ+st
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|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1200x700 with 1 Axes>"
|
|||
|
|
],
|
|||
|
|
"image/png": "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
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1200x700 with 1 Axes>"
|
|||
|
|
],
|
|||
|
|
"image/png": "iVBORw0KGgoAAAANSUhEUgAABKUAAAK1CAYAAAAZu13qAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjMsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvZiW1igAAAAlwSFlzAAAPYQAAD2EBqD+naQAA8O9JREFUeJzs3Xd4VGXax/HfmZ4OISFU6WBBqRakKaIIdl2xgbrKiw2xI7h2XURXFBVcVKysimIvWFERlRVR0BUBQYrSSQLp08/7x5CBUCcQcmYm3891cV1nzjxzzj1hziRzz/3cj2GapikAAAAAAACgFtmsDgAAAAAAAAB1D0kpAAAAAAAA1DqSUgAAAAAAAKh1JKUAAAAAAABQ60hKAQAAAAAAoNaRlAIAAAAAAECtIykFAAAAAACAWkdSCgAAAAAAALWOpBQAAAAAAABqHUkpAABq0RNPPKEOHTqosLBwr2M7dOige++9txaiQk1466231KFDB61evdrqUBCjfv36afTo0TV6zNGjR6tfv341esx4t6vX/tChQzV06NBajeP7779Xhw4d9P3339fqeQEA+85hdQAAACA+ff/997r44ot3ed9rr72mzp07V9n3008/6V//+pd+++03paena+DAgbrhhhuUlpYW8zk3b96sN998U19++aX++OMPBYNBtW7dWpdeeqkGDRq0X/FVCgQC6tWrl1q3bq1XX311l2NM09Rxxx2n7Oxsvf322zHHXxd9//33mjp1qubPn6+ioiJlZGSoU6dOOvvss3XSSSdZHd4BsWHDBr3++uvq37+/DjnkEKvDkRRJhm3/WnU6nWratKkGDRqkK6+8Um6328Lo4stbb72lMWPGRG+7XC41adJEPXv21NVXX62cnJxqH7NDhw666KKLdOedd9ZkqACQ9EhKAQCAPRo6dKgOP/zwKvsOOuigKrcXLVqkSy+9VG3atNHo0aO1fv16Pffcc1q5cqWmTJkS87kWLFigCRMmqE+fPrrqqqvkcDj0ySef6IYbbtCyZcs0cuTIfYpve06nUyeffLJee+01rVmzRk2bNt1pzA8//KD169fr0ksvjTn2uujxxx/XpEmT1LJlS5133nlq0qSJtmzZolmzZunaa6/Vww8/rNNOO83qMGvcxo0bNXHiRDVt2nSnpNR9990n0zQticvlcun++++XJJWWlmrmzJl68skn9eeff2r8+PG1Gsuzzz5bq+fbFyNHjlSzZs3k9/v1448/6tVXX9WsWbP0wQcfKCUlxerwAKBOICkFAAD2qHv37jr55JP3OOaRRx5RZmampk6dqvT0dElSs2bNdPvtt+ubb75Rr169YjpX27Zt9cknn1RJFF144YW69NJL9cwzz2jYsGFKTU2tdnw7Ou200zRt2jR9+OGHGj58+E73f/DBB7LZbDtVZ2Gbjz/+WJMmTdKAAQM0fvx4OZ3O6H3Dhg3T7NmzFQwGLYzQGtv/HGqbw+HQGWecEb194YUX6vzzz9eHH36oMWPG7FMF0L5yuVy1dq591adPn2hC+9xzz1W9evX0/PPPa+bMmTr11FMtjg4A6gZ6SgEAYIHNmzfruuuuU9euXXX00Ufr/vvvl8/n2+XY9957TwMGDNDhhx+us88+Wz/88EP0vsWLF6tDhw6aOXNmdN+vv/6qDh066KyzzqpynGHDhuncc8/dp3hLS0t3m2AoLS3Vd999p9NPPz2akJKkM844Q6mpqfroo49iPk/z5s13qlwyDEP9+/eX3+/XX3/9Ve34dqVbt25q2rSp3n///Z3uCwQC+uSTT3T00UcrLy9Pixcv1ujRo3XCCSfo8MMPV8+ePTVmzBht3rx5r+fp0KGDnnjiiZ3276qXUXFxsf75z3+qb9++6tixo0488UQ9/fTTCofDezzHFVdcoRNOOGGX95133nk6++yzo7e//fZbXXDBBerevbu6dOmiAQMG6JFHHtnr89iVxx57TPXq1dPYsWN3mYjp3bu3jj/+eEm777e1qx5AQ4cO1amnnqrFixdryJAh6tSpk0488UR9/PHHkqS5c+fq3HPP1RFHHKEBAwbou+++q3LM3fV0quzntidbtmzRgw8+qNNOO01dunRR165dNWzYMC1evLhKzH/7298kSWPGjFGHDh3UoUMHvfXWWzudPxAI6KijjqoyVaxSaWmpDj/8cD344IPRfX6/X48//rhOPPFEdezYUX379tVDDz0kv9+/x7h3xzAMde3aVaZp7nTtzJo1SxdeeKE6d+6sLl26aPjw4Vq6dGmVMfvz2t+xp1S/fv2iP6sd/23//79hwwaNGTNGxx57rDp27KhTTjlFb7zxxk7HX79+va6++mp17txZPXr00NixY/f551TpmGOOkaTo63T06NHq0qWLNmzYoKuvvlpdunTRMcccowcffFChUGi/zgUAiKBSCgAAC1x//fVq2rSpbrrpJi1YsEBTp05VcXGxHnrooSrjfvjhB82YMUNDhw6Vy+XSq6++qmHDhmn69Olq37692rdvr8zMTM2bNy+amJg3b55sNpsWL16s0tJSpaenKxwOa/78+Ro8eHC1Yx0zZozKy8tlt9vVrVs3jRo1qsp0uSVLligYDKpjx45VHudyuXTIIYdo0aJF+/ATqio/P1+SVL9+/WrHtyuGYei0007T5MmTtXTpUrVr1y563+zZs7Vly5botLPvvvtOf/31l84++2zl5uZq6dKlev3117Vs2TK9/vrrMgxjv59fRUWFhgwZog0bNuj8889X48aNNX/+fD3yyCPatGmT/vGPf+z2sQMHDtStt96qX375RUcccUR0/5o1a7RgwQKNGjVKkrR06VJdccUV6tChg0aOHCmXy6VVq1bpp59+qna8K1eu1PLly3XOOedUSUTWlKKiIl155ZUaNGiQTj75ZL366qu68cYbFQ6HNXbsWJ1//vk69dRT9eyzz2rkyJH66quvaiSOv/76S59//rlOPvlkNWvWTPn5+Xrttdc0ZMgQffjhh8rLy1ObNm00cuRIPf744zrvvPPUrVs3SVLXrl13Op7T6VT//v312Wef6Z577qlSPfT555/L7/dHq/HC4bCuuuoq/fjjjxo8eLDatGmj33//XS+++KJWrlypJ598cp+e05o1ayRJmZmZ0X3vvPOORo8erV69eunmm29WRUWFXn31VV144YV6++231axZM0k1+9q/7bbbVFZWVmXfiy++qEWLFqlevXqSItf54MGDZRiGLrroImVnZ+vrr7/WP/7xD5WWlkan03q9Xl1yySVat26dhg4dqoYNG+rdd9/Vf//73336GVX6888/JSkajySFQiFdfvnlOuKIIzRq1CjNmTNHzz33nJo3b64LL7xwv84HACApBQCAJZo1a6Z///vfkqSLLrpI6enpeuWVV3TZZZfp4IMPjo77/fff9eabb0YTPqeccopOPvlkPf7445o4caJsNpu6du2qefPmRR/z448/qn///po5c6Z++ukn9enTJ5qg6t69e8wxOp1ODRgwQH369FH9+vX1xx9/6Nlnn9VFF12kadOm6dBDD5Ukbdq0SZLUsGHDnY6Rm5urH3/8sfo/oO1s2bJF06dPV/fu3aucI9b4dqcyKfX+++/rxhtvjO7/4IMP5Ha7NWDAAEmRKVCXXXZZlcd27txZN954o3788cdq/Ux35/nnn9dff/2lt99+Wy1btpQknX/++WrYsKGeffZZXXbZZWrcuPEuH9u/f3+5XC599NFHVZJSH330kQzD0MCBAyVFqqQCgYCeeeYZZWdn71e8f/zxhySpffv2+3Wc3dm4caPGjx8fnUJ17LHHauDAgbrppps0bdo0derUSZLUpk0bXX755fr000+rVITtqw4dOuiTTz6RzbZtMsEZZ5yhgQMH6o033tA111yjnJwc9enTR48//rg6d+5cZbrcrgwaNEhvvvmmvv3222jlmCTNmDFDzZs3jyZQ33//fX333XeaOnVqlddUu3btdNddd+mnn37aZeJrR5Ure5aWlurzzz/Xp59+qvbt26t169aSpLKyMv3zn//Uueeeq/vuuy/6uLPOOksnn3yynnrqqej
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "stdout",
|
|||
|
|
"output_type": "stream",
|
|||
|
|
"text": [
|
|||
|
|
"\n",
|
|||
|
|
"所有指标的分析图表已生成。\n"
|
|||
|
|
]
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"execution_count": 2
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"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
|
|||
|
|
}
|