2025-07-10 15:07:31 +08:00
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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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2025-07-15 22:45:51 +08:00
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"collapsed": true,
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2025-07-10 15:07:31 +08:00
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"ExecuteTime": {
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2025-07-15 22:45:51 +08:00
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"end_time": "2025-07-15T02:42:15.578383Z",
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"start_time": "2025-07-15T02:42:15.555862Z"
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}
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2025-07-10 15:07:31 +08:00
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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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2025-07-15 22:45:51 +08:00
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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": 39
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2025-07-10 15:07:31 +08:00
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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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2025-07-15 22:45:51 +08:00
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"end_time": "2025-07-15T02:42:19.278093Z",
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"start_time": "2025-07-15T02:42:15.586150Z"
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2025-07-10 15:07:31 +08:00
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}
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},
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2025-07-15 22:45:51 +08:00
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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, HistoricalRange, NormalizedATR, RateOfChange, StochasticOscillator\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@SHFE_rb/KQ_m@SHFE_rb_min60.csv\"\n",
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"data_file_path = \"/mnt/d/PyProject/NewQuant/data/data/KQ_m@DCE_jm/KQ_m@DCE_jm_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_jm',\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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" # 'symbol': \"SHFE_rb2501\", # 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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" # 'range_factor': 1.0, # 示例值，需要通过网格搜索优化\n",
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" # 'profit_factor': 4.9, # 示例值\n",
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" # 'range_factor': 0.8, # 示例值，需要通过网格搜索优化\n",
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" # 'profit_factor': 4.7, # 示例值\n",
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" 'range_factor_l': 1.0, # 示例值，需要通过网格搜索优化\n",
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" 'profit_factor_l': 4.9, # 示例值\n",
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" 'range_factor_s': 0.8, # 示例值，需要通过网格搜索优化\n",
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" 'profit_factor_s': 4.7, # 示例值\n",
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" 'max_position': 10,\n",
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" 'enable_log': False,\n",
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" 'stop_loss_points': 20,\n",
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" 'use_indicator': True,\n",
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" # 'indicator': RSI(40, 55, 70),\n",
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" # 'indicator': RSI(25, 35, 45),\n",
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" 'indicator_l': RSI(40, 55, 70),\n",
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" 'indicator_s': RSI(25, 35, 45),\n",
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"}\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(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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2025-07-10 15:07:31 +08:00
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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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2025-07-15 22:45:51 +08:00
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"数据加载成功: /mnt/d/PyProject/NewQuant/data/data/KQ_m@DCE_jm/KQ_m@DCE_jm_min60.csv\n",
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"数据范围从 2020-12-31 14:00:00 到 2025-07-11 13:00:00\n",
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"总计 7601 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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2025-07-15 22:45:51 +08:00
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"总计发生了 98 笔交易。\n",
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"最终总净值: 100775.64\n",
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"总收益率: 0.78%\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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2025-07-15 22:45:51 +08:00
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" 2024-06-11 21:00:00 | SELL | DCE.jm2409 | Vol: 1 | Price: 1621.00 | Comm: 0.16\n",
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" 2024-06-12 21:00:00 | CLOSE_SHORT | DCE.jm2409 | Vol: 1 | Price: 1648.00 | Comm: 0.16 | PnL: -27.00\n",
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" 2024-06-13 13:00:00 | SELL | DCE.jm2409 | Vol: 1 | Price: 1626.00 | Comm: 0.16\n",
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" 2024-06-14 11:00:00 | CLOSE_SHORT | DCE.jm2409 | Vol: 1 | Price: 1651.50 | Comm: 0.17 | PnL: -25.50\n",
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" 2024-06-20 09:00:00 | SELL | DCE.jm2409 | Vol: 1 | Price: 1593.00 | Comm: 0.16\n",
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" 2024-06-24 10:00:00 | CLOSE_SHORT | DCE.jm2409 | Vol: 1 | Price: 1541.50 | Comm: 0.15 | PnL: 51.50\n",
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" 2024-06-25 11:00:00 | SELL | DCE.jm2409 | Vol: 1 | Price: 1544.00 | Comm: 0.15\n",
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" 2024-06-26 11:00:00 | CLOSE_SHORT | DCE.jm2409 | Vol: 1 | Price: 1569.00 | Comm: 0.16 | PnL: -25.00\n",
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" 2024-07-01 22:00:00 | BUY | DCE.jm2409 | Vol: 1 | Price: 1608.00 | Comm: 0.16\n",
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" 2024-07-05 11:00:00 | CLOSE_LONG | DCE.jm2409 | Vol: 1 | Price: 1572.50 | Comm: 0.16 | PnL: -35.50\n",
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" 2024-07-05 13:00:00 | SELL | DCE.jm2409 | Vol: 1 | Price: 1561.00 | Comm: 0.16\n",
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" 2024-07-15 09:00:00 | CLOSE_SHORT | DCE.jm2409 | Vol: 1 | Price: 1593.00 | Comm: 0.16 | PnL: -32.00\n",
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" 2024-07-18 14:00:00 | SELL | DCE.jm2409 | Vol: 1 | Price: 1557.00 | Comm: 0.16\n",
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" 2024-07-22 22:00:00 | CLOSE_SHORT | DCE.jm2409 | Vol: 1 | Price: 1509.00 | Comm: 0.15 | PnL: 48.00\n",
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" 2024-07-23 13:00:00 | SELL | DCE.jm2409 | Vol: 1 | Price: 1506.00 | Comm: 0.15\n",
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" 2024-07-30 22:00:00 | CLOSE_SHORT | DCE.jm2409 | Vol: 1 | Price: 1439.00 | Comm: 0.14 | PnL: 67.00\n",
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" 2024-07-31 10:00:00 | SELL | DCE.jm2409 | Vol: 1 | Price: 1471.00 | Comm: 0.15\n",
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" 2024-08-05 09:00:00 | CLOSE_SHORT | DCE.jm2409 | Vol: 1 | Price: 1407.50 | Comm: 0.14 | PnL: 63.50\n",
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" 2024-08-05 14:00:00 | SELL | DCE.jm2409 | Vol: 1 | Price: 1425.00 | Comm: 0.14\n",
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" 2024-08-12 11:00:00 | CLOSE_SHORT | DCE.jm2409 | Vol: 1 | Price: 1367.50 | Comm: 0.14 | PnL: 57.50\n",
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" 2024-08-15 10:00:00 | SELL | DCE.jm2409 | Vol: 1 | Price: 1339.00 | Comm: 0.13\n",
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" 2024-08-15 21:00:00 | CLOSE_SHORT | DCE.jm2409 | Vol: 1 | Price: 1361.00 | Comm: 0.14 | PnL: -22.00\n",
|
|
|
|
|
|
" 2024-08-16 22:00:00 | SELL | DCE.jm2501 | Vol: 1 | Price: 1330.00 | Comm: 0.13\n",
|
|
|
|
|
|
" 2024-08-19 09:00:00 | CLOSE_SHORT | DCE.jm2501 | Vol: 1 | Price: 1351.00 | Comm: 0.14 | PnL: -21.00\n",
|
|
|
|
|
|
" 2024-08-19 14:00:00 | SELL | DCE.jm2501 | Vol: 1 | Price: 1347.00 | Comm: 0.13\n",
|
|
|
|
|
|
" 2024-08-21 21:00:00 | CLOSE_SHORT | DCE.jm2501 | Vol: 1 | Price: 1375.50 | Comm: 0.14 | PnL: -28.50\n",
|
|
|
|
|
|
" 2024-08-23 11:00:00 | SELL | DCE.jm2501 | Vol: 1 | Price: 1337.00 | Comm: 0.13\n",
|
|
|
|
|
|
" 2024-08-26 21:00:00 | CLOSE_SHORT | DCE.jm2501 | Vol: 1 | Price: 1363.00 | Comm: 0.14 | PnL: -26.00\n",
|
|
|
|
|
|
" 2024-09-03 13:00:00 | SELL | DCE.jm2501 | Vol: 1 | Price: 1333.00 | Comm: 0.13\n",
|
|
|
|
|
|
" 2024-09-03 22:00:00 | CLOSE_SHORT | DCE.jm2501 | Vol: 1 | Price: 1298.00 | Comm: 0.13 | PnL: 35.00\n",
|
|
|
|
|
|
" 2024-09-10 13:00:00 | SELL | DCE.jm2501 | Vol: 1 | Price: 1235.00 | Comm: 0.12\n",
|
|
|
|
|
|
" 2024-09-11 21:00:00 | CLOSE_SHORT | DCE.jm2501 | Vol: 1 | Price: 1264.50 | Comm: 0.13 | PnL: -29.50\n",
|
|
|
|
|
|
" 2024-09-23 21:00:00 | SELL | DCE.jm2501 | Vol: 1 | Price: 1249.00 | Comm: 0.12\n",
|
|
|
|
|
|
" 2024-09-24 13:00:00 | CLOSE_SHORT | DCE.jm2501 | Vol: 1 | Price: 1272.50 | Comm: 0.13 | PnL: -23.50\n",
|
|
|
|
|
|
" 2024-09-27 13:00:00 | BUY | DCE.jm2501 | Vol: 1 | Price: 1391.00 | Comm: 0.14\n",
|
|
|
|
|
|
" 2024-09-30 09:00:00 | CLOSE_LONG | DCE.jm2501 | Vol: 1 | Price: 1535.00 | Comm: 0.15 | PnL: 144.00\n",
|
|
|
|
|
|
" 2024-10-08 13:00:00 | BUY | DCE.jm2501 | Vol: 1 | Price: 1501.00 | Comm: 0.15\n",
|
|
|
|
|
|
" 2024-10-09 09:00:00 | CLOSE_LONG | DCE.jm2501 | Vol: 1 | Price: 1477.50 | Comm: 0.15 | PnL: -23.50\n",
|
|
|
|
|
|
" 2024-10-09 14:00:00 | BUY | DCE.jm2501 | Vol: 1 | Price: 1469.00 | Comm: 0.15\n",
|
|
|
|
|
|
" 2024-10-09 22:00:00 | CLOSE_LONG | DCE.jm2501 | Vol: 1 | Price: 1432.00 | Comm: 0.14 | PnL: -37.00\n",
|
|
|
|
|
|
" 2024-10-11 10:00:00 | BUY | DCE.jm2501 | Vol: 1 | Price: 1458.00 | Comm: 0.15\n",
|
|
|
|
|
|
" 2024-10-16 21:00:00 | CLOSE_LONG | DCE.jm2501 | Vol: 1 | Price: 1432.00 | Comm: 0.14 | PnL: -26.00\n",
|
|
|
|
|
|
" 2024-10-16 22:00:00 | SELL | DCE.jm2501 | Vol: 1 | Price: 1444.00 | Comm: 0.14\n",
|
|
|
|
|
|
" 2024-10-17 14:00:00 | CLOSE_SHORT | DCE.jm2501 | Vol: 1 | Price: 1358.00 | Comm: 0.14 | PnL: 86.00\n",
|
|
|
|
|
|
" 2024-10-18 14:00:00 | SELL | DCE.jm2501 | Vol: 1 | Price: 1371.00 | Comm: 0.14\n",
|
|
|
|
|
|
" 2024-10-23 22:00:00 | CLOSE_SHORT | DCE.jm2501 | Vol: 1 | Price: 1329.00 | Comm: 0.13 | PnL: 42.00\n",
|
|
|
|
|
|
" 2024-10-24 14:00:00 | SELL | DCE.jm2501 | Vol: 1 | Price: 1341.00 | Comm: 0.13\n",
|
|
|
|
|
|
" 2024-10-25 22:00:00 | CLOSE_SHORT | DCE.jm2501 | Vol: 1 | Price: 1385.00 | Comm: 0.14 | PnL: -44.00\n",
|
|
|
|
|
|
" 2024-10-28 22:00:00 | BUY | DCE.jm2501 | Vol: 1 | Price: 1407.00 | Comm: 0.14\n",
|
|
|
|
|
|
" 2024-10-29 13:00:00 | CLOSE_LONG | DCE.jm2501 | Vol: 1 | Price: 1378.00 | Comm: 0.14 | PnL: -29.00\n",
|
|
|
|
|
|
" 2024-10-31 10:00:00 | SELL | DCE.jm2501 | Vol: 1 | Price: 1358.00 | Comm: 0.14\n",
|
|
|
|
|
|
" 2024-11-06 22:00:00 | CLOSE_SHORT | DCE.jm2501 | Vol: 1 | Price: 1316.50 | Comm: 0.13 | PnL: 41.50\n",
|
|
|
|
|
|
" 2024-11-07 13:00:00 | SELL | DCE.jm2501 | Vol: 1 | Price: 1337.00 | Comm: 0.13\n",
|
|
|
|
|
|
" 2024-11-12 11:00:00 | CLOSE_SHORT | DCE.jm2501 | Vol: 1 | Price: 1280.50 | Comm: 0.13 | PnL: 56.50\n",
|
|
|
|
|
|
" 2024-11-13 09:00:00 | SELL | DCE.jm2501 | Vol: 1 | Price: 1292.00 | Comm: 0.13\n",
|
|
|
|
|
|
" 2024-11-21 21:00:00 | CLOSE_SHORT | DCE.jm2501 | Vol: 1 | Price: 1319.00 | Comm: 0.13 | PnL: -27.00\n",
|
|
|
|
|
|
" 2024-11-27 10:00:00 | SELL | DCE.jm2501 | Vol: 1 | Price: 1251.00 | Comm: 0.13\n",
|
|
|
|
|
|
" 2024-12-03 22:00:00 | CLOSE_SHORT | DCE.jm2501 | Vol: 1 | Price: 1211.50 | Comm: 0.12 | PnL: 39.50\n",
|
|
|
|
|
|
" 2024-12-13 10:00:00 | SELL | DCE.jm2501 | Vol: 1 | Price: 1165.00 | Comm: 0.12\n",
|
|
|
|
|
|
" 2024-12-16 11:00:00 | CLOSE_SHORT | DCE.jm2501 | Vol: 1 | Price: 1124.50 | Comm: 0.11 | PnL: 40.50\n",
|
|
|
|
|
|
" 2024-12-16 14:00:00 | SELL | DCE.jm2501 | Vol: 1 | Price: 1136.00 | Comm: 0.11\n",
|
|
|
|
|
|
" 2024-12-16 14:00:00 | CLOSE_SHORT | DCE.jm2501 | Vol: 1 | Price: 1128.50 | Comm: 0.11 | PnL: 7.50\n",
|
|
|
|
|
|
" 2024-12-19 14:00:00 | SELL | DCE.jm2505 | Vol: 1 | Price: 1152.00 | Comm: 0.12\n",
|
|
|
|
|
|
" 2025-01-02 10:00:00 | CLOSE_SHORT | DCE.jm2505 | Vol: 1 | Price: 1175.00 | Comm: 0.12 | PnL: -23.00\n",
|
|
|
|
|
|
" 2025-01-20 09:00:00 | BUY | DCE.jm2505 | Vol: 1 | Price: 1156.00 | Comm: 0.12\n",
|
|
|
|
|
|
" 2025-01-23 21:00:00 | CLOSE_LONG | DCE.jm2505 | Vol: 1 | Price: 1131.00 | Comm: 0.11 | PnL: -25.00\n",
|
|
|
|
|
|
" 2025-02-05 21:00:00 | SELL | DCE.jm2505 | Vol: 1 | Price: 1109.00 | Comm: 0.11\n",
|
|
|
|
|
|
" 2025-02-06 11:00:00 | CLOSE_SHORT | DCE.jm2505 | Vol: 1 | Price: 1130.50 | Comm: 0.11 | PnL: -21.50\n",
|
|
|
|
|
|
" 2025-02-11 11:00:00 | SELL | DCE.jm2505 | Vol: 1 | Price: 1123.00 | Comm: 0.11\n",
|
|
|
|
|
|
" 2025-02-13 22:00:00 | CLOSE_SHORT | DCE.jm2505 | Vol: 1 | Price: 1083.50 | Comm: 0.11 | PnL: 39.50\n",
|
|
|
|
|
|
" 2025-02-18 13:00:00 | SELL | DCE.jm2505 | Vol: 1 | Price: 1090.00 | Comm: 0.11\n",
|
|
|
|
|
|
" 2025-02-20 14:00:00 | CLOSE_SHORT | DCE.jm2505 | Vol: 1 | Price: 1116.00 | Comm: 0.11 | PnL: -26.00\n",
|
|
|
|
|
|
" 2025-02-26 11:00:00 | SELL | DCE.jm2505 | Vol: 1 | Price: 1092.00 | Comm: 0.11\n",
|
|
|
|
|
|
" 2025-03-03 10:00:00 | CLOSE_SHORT | DCE.jm2505 | Vol: 1 | Price: 1113.00 | Comm: 0.11 | PnL: -21.00\n",
|
|
|
|
|
|
" 2025-03-05 10:00:00 | SELL | DCE.jm2505 | Vol: 1 | Price: 1078.00 | Comm: 0.11\n",
|
|
|
|
|
|
" 2025-03-17 13:00:00 | CLOSE_SHORT | DCE.jm2505 | Vol: 1 | Price: 1060.00 | Comm: 0.11 | PnL: 18.00\n",
|
|
|
|
|
|
" 2025-03-17 22:00:00 | SELL | DCE.jm2505 | Vol: 1 | Price: 1061.00 | Comm: 0.11\n",
|
|
|
|
|
|
" 2025-03-18 22:00:00 | CLOSE_SHORT | DCE.jm2505 | Vol: 1 | Price: 1035.00 | Comm: 0.10 | PnL: 26.00\n",
|
|
|
|
|
|
" 2025-03-20 11:00:00 | SELL | DCE.jm2505 | Vol: 1 | Price: 1031.00 | Comm: 0.10\n",
|
|
|
|
|
|
" 2025-03-21 14:00:00 | CLOSE_SHORT | DCE.jm2505 | Vol: 1 | Price: 1013.50 | Comm: 0.10 | PnL: 17.50\n",
|
|
|
|
|
|
" 2025-03-25 11:00:00 | SELL | DCE.jm2505 | Vol: 1 | Price: 1027.00 | Comm: 0.10\n",
|
|
|
|
|
|
" 2025-03-28 22:00:00 | CLOSE_SHORT | DCE.jm2505 | Vol: 1 | Price: 1004.50 | Comm: 0.10 | PnL: 22.50\n",
|
|
|
|
|
|
" 2025-04-01 11:00:00 | SELL | DCE.jm2505 | Vol: 1 | Price: 1008.00 | Comm: 0.10\n",
|
|
|
|
|
|
" 2025-04-07 09:00:00 | CLOSE_SHORT | DCE.jm2505 | Vol: 1 | Price: 963.50 | Comm: 0.10 | PnL: 44.50\n",
|
|
|
|
|
|
" 2025-04-07 21:00:00 | SELL | DCE.jm2505 | Vol: 1 | Price: 985.00 | Comm: 0.10\n",
|
|
|
|
|
|
" 2025-04-08 11:00:00 | CLOSE_SHORT | DCE.jm2505 | Vol: 1 | Price: 964.50 | Comm: 0.10 | PnL: 20.50\n",
|
|
|
|
|
|
" 2025-04-15 11:00:00 | SELL | DCE.jm2505 | Vol: 1 | Price: 904.00 | Comm: 0.09\n",
|
|
|
|
|
|
" 2025-04-15 14:00:00 | CLOSE_SHORT | DCE.jm2505 | Vol: 1 | Price: 910.00 | Comm: 0.09 | PnL: -6.00\n",
|
|
|
|
|
|
" 2025-04-16 09:00:00 | BUY | DCE.jm2509 | Vol: 1 | Price: 977.00 | Comm: 0.10\n",
|
|
|
|
|
|
" 2025-04-17 21:00:00 | CLOSE_LONG | DCE.jm2509 | Vol: 1 | Price: 949.00 | Comm: 0.09 | PnL: -28.00\n",
|
|
|
|
|
|
" 2025-04-25 13:00:00 | BUY | DCE.jm2509 | Vol: 1 | Price: 965.00 | Comm: 0.10\n",
|
|
|
|
|
|
" 2025-04-28 21:00:00 | CLOSE_LONG | DCE.jm2509 | Vol: 1 | Price: 943.00 | Comm: 0.09 | PnL: -22.00\n",
|
|
|
|
|
|
" 2025-04-30 09:00:00 | SELL | DCE.jm2509 | Vol: 1 | Price: 928.00 | Comm: 0.09\n",
|
|
|
|
|
|
" 2025-05-06 14:00:00 | CLOSE_SHORT | DCE.jm2509 | Vol: 1 | Price: 908.50 | Comm: 0.09 | PnL: 19.50\n",
|
|
|
|
|
|
" 2025-05-08 14:00:00 | SELL | DCE.jm2509 | Vol: 1 | Price: 899.00 | Comm: 0.09\n",
|
|
|
|
|
|
" 2025-05-13 14:00:00 | CLOSE_SHORT | DCE.jm2509 | Vol: 1 | Price: 869.50 | Comm: 0.09 | PnL: 29.50\n",
|
|
|
|
|
|
" 2025-05-13 22:00:00 | SELL | DCE.jm2509 | Vol: 1 | Price: 878.00 | Comm: 0.09\n",
|
|
|
|
|
|
" 2025-05-19 10:00:00 | CLOSE_SHORT | DCE.jm2509 | Vol: 1 | Price: 847.00 | Comm: 0.08 | PnL: 31.00\n",
|
2025-07-10 15:07:31 +08:00
|
|
|
|
"正在计算绩效指标...\n",
|
2025-07-15 22:45:51 +08:00
|
|
|
|
"total_return: 0.007756425999999816, annualized_return:0.005408139042466953, 252 / total_days:0.6980609418282548\n",
|
2025-07-10 15:07:31 +08:00
|
|
|
|
"绩效指标计算完成。\n",
|
|
|
|
|
|
"\n",
|
|
|
|
|
|
"--- 回测绩效报告 ---\n",
|
|
|
|
|
|
"初始资金 : 100000.00\n",
|
2025-07-15 22:45:51 +08:00
|
|
|
|
"最终资金 : 100775.64\n",
|
|
|
|
|
|
"总收益率 : 0.78%\n",
|
|
|
|
|
|
"年化收益率 : 0.54%\n",
|
|
|
|
|
|
"最大回撤 : 0.24%\n",
|
|
|
|
|
|
"夏普比率 : 0.63\n",
|
|
|
|
|
|
"卡玛比率 : 2.27\n",
|
|
|
|
|
|
"总交易次数 : 98\n",
|
|
|
|
|
|
"总实现盈亏 : 394.00\n",
|
|
|
|
|
|
"交易成本 : 12.36\n",
|
2025-07-10 15:07:31 +08:00
|
|
|
|
"\n",
|
|
|
|
|
|
"--- 交易详情 ---\n",
|
2025-07-15 22:45:51 +08:00
|
|
|
|
"盈利交易次数 : 24\n",
|
|
|
|
|
|
"亏损交易次数 : 25\n",
|
|
|
|
|
|
"胜率 : 48.98%\n",
|
|
|
|
|
|
"盈亏比 : 1.67\n",
|
|
|
|
|
|
"平均每次盈利 : 43.69\n",
|
|
|
|
|
|
"平均每次亏损 : -26.18\n",
|
2025-07-10 15:07:31 +08:00
|
|
|
|
"正在绘制绩效图表...\n"
|
|
|
|
|
|
]
|
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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 1400x1000 with 2 Axes>"
|
2025-07-15 22:45:51 +08:00
|
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],
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2025-07-10 15:07:31 +08:00
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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": {
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"text/plain": [
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"<Figure size 1400x700 with 1 Axes>"
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2025-07-15 22:45:51 +08:00
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],
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"image/png": "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2025-07-10 15:07:31 +08:00
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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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"name": "stdout",
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"output_type": "stream",
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"text": [
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"图表绘制完成。\n",
|
2025-07-15 22:45:51 +08:00
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"{'初始资金': 100000.0, '最终资金': np.float64(100775.64259999999), '总收益率': np.float64(0.007756425999999816), '年化收益率': np.float64(0.005408139042466953), '最大回撤': np.float64(0.002385240209070635), '夏普比率': np.float64(0.6292214065062186), '卡玛比率': np.float64(2.267335181547243), '总交易次数': 98, '交易成本': 12.3574, '总实现盈亏': 394.0, '胜率': 0.4897959183673469, '盈亏比': 1.6687356760886174, '盈利交易次数': 24, '亏损交易次数': 25, '平均每次盈利': 43.6875, '平均每次亏损': -26.18, 'initial_capital': 100000.0, 'final_capital': np.float64(100775.64259999999), 'total_return': np.float64(0.007756425999999816), 'annualized_return': np.float64(0.005408139042466953), 'max_drawdown': np.float64(0.002385240209070635), 'sharpe_ratio': np.float64(0.6292214065062186), 'calmar_ratio': np.float64(2.267335181547243), 'total_trades': 98, 'transaction_costs': 12.3574, 'total_realized_pnl': 394.0, 'win_rate': 0.4897959183673469, 'profit_loss_ratio': 1.6687356760886174, 'winning_trades_count': 24, 'losing_trades_count': 25, 'avg_profit_per_trade': 43.6875, 'avg_loss_per_trade': -26.18}\n"
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2025-07-10 15:07:31 +08:00
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]
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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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2025-07-15 22:45:51 +08:00
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],
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"text/plain": [
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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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{
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"text/plain": [
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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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{
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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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"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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2025-07-10 15:07:31 +08:00
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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": {
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"text/plain": [
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"<Figure size 1200x700 with 1 Axes>"
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2025-07-15 22:45:51 +08:00
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],
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"image/png": "iVBORw0KGgoAAAANSUhEUgAABKMAAAK1CAYAAAAUpS2tAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjMsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvZiW1igAAAAlwSFlzAAAPYQAAD2EBqD+naQABAABJREFUeJzs3Xd4U2UbBvD7ZDdt001LKWUVitiyRPYSAZmiyFLABTKkggxZoiACggIyZYOIDFFUNn6KiICAICI4EJBRoFDooCt7fH+EBELTnTZtev+uqxenJ2/OeZIeck6e877PK1gsFguIiIiIiIiIiIhKgMjdARARERERERERUfnBZBQREREREREREZUYJqOIiIiIiIiIiKjEMBlFREREREREREQlhskoIiIiIiIiIiIqMUxGERERERERERFRiWEyioiIiIiIiIiISgyTUUREREREREREVGKYjCIiIiIiIiIiohLDZBQREZGHGThwIAYOHOjuMErE9evXER0dja+//trdoVA+TZw4Ee3atXPpNr/++mtER0fj+vXrLt1uaebs2F+8eDGio6NLPJbo6GgsXry4xPdLRERll8TdARAREZH7bd26FTt27MClS5eQnp6OChUqoEmTJhgxYgQiIiKytf/yyy+xdu1aXL9+HRUrVsxXAmzYsGE4evQojhw5Ah8fH6dtxo4di++++w6HDh1CQECAS16bJ4qPj8fq1atx5MgR3L59G1KpFLVq1ULnzp3Rt29fKBQKd4dYLJYvX46oqCi0b9/e3aEAsCbBJk2aZP9dLBYjKCgILVq0wOjRoxEaGurG6EqX69ev48knn7T/LhKJEBoaikcffRRxcXF45JFHCrzNgQMHIjU1Fbt27XJlqEREVAKYjCIiIvIwa9asKfBz/v77b0RERKBdu3ZQqVS4fv06vvzySxw4cADbt293+FK9ZcsWTJ06FU899RReeeUVnDx5EjNmzIBGo8GQIUNy3MfTTz+NAwcO4IcffsAzzzyT7XGNRoMff/wRLVu2ZCIqFz/99BNGjRoFmUyGHj16oFatWjAYDPjtt9/w0Ucf4eLFi3j//ffdHWaxWLFiBZ566qlsyagePXqga9eukMlkbolr5MiRiIiIgF6vx+nTp/HNN9/gt99+w65duyCXy0ssjuHDh+f6f7A06NatG1q3bg2z2Yz//vsPmzdvxs8//4ytW7cWKiFFRERlE5NRREREZYBarYZSqcxX28J8IZ82bVq2de3bt8dzzz2H7du327/garVafPzxx2jbti0WLVoEAOjTpw/MZjOWLVuGvn37ws/Pz+k+2rVrB29vb+zcudNpMmr//v1Qq9V4+umnCxx/eXHt2jWMHj0a4eHhWL9+PSpUqGB/rH///rh69Sp++ukn9wXoJmKxGGKx2G37b926NWJjYwEAvXv3RkBAAFatWoX9+/ejS5cuJRaHRCKBRFK6L+/r1KmDHj162H9v2LAhhg8fjs2bN2P69OlujIyIiEoSa0YRERGVMra6LxcvXsTYsWPx+OOP44UXXgAA3LlzB5MmTULr1q0RExODli1bYvjw4Q61clxVM6pSpUoAgPT0dPu648eP4+7du/Z4bPr37w+1Wp1rIkShUKBjx444duwYkpOTsz2+a9cueHt7o127drh79y7mzJmD7t27o0GDBmjYsCEGDx6Mc+fO5Rl3Tq/fWa0is9mMTz/9FF27dkVsbCyaN2+Od999F2lpabnuY82aNYiOjsaNGzeyPTZv3jzExMTYt3HlyhW88cYbaNGiBWJjY9G6dWuMHj0aGRkZeb6Wh61evRpqtRozZ850SETZVKlSBS+99BKA3OtpPVzjx3bMXb58GePGjcNjjz2Gpk2bYsGCBbBYLLh58yaGDx+Ohg0bokWLFli7dq3D9nKq2XT8+HFER0fj+PHjub6uNWvWoF+/fmjSpAnq1q2Lnj17Yt++fdliVqvV+OabbxAdHY3o6GhMnDjR6f6HDh3qMCTsQX379kXPnj0d1m3fvh09e/ZE3bp10bhxY4wePRo3b97MNebcNGrUCIA1efig//77DyNHjkTjxo0RGxuLnj17Yv/+/Q5tinLsP1wzauLEifb36uGfB//+er0eixYtQocOHRATE4M2bdrgww8/hF6vd9i+Xq/HrFmz0LRpUzRo0ADDhg3DrVu3Cvz+PKhp06YAYP/b2f6Wv/32Gz744AM0bdoU9evXx4gRI5CSklKkfRERUelRum+dEBERlWOjRo1ClSpVMHr0aFgsFgDAG2+8gYsXL2LAgAGoVKkSUlJScOTIEdy8edNpbaeCSk1NhdlsRkJCApYuXQoAaNasmf3xv//+GwAQExPj8LxHH30UIpEI//zzj0Ovh4d1794d33zzDfbu3YsBAwbY19+9exeHDx9G165doVAocOHCBfzwww/o1KkTIiIikJSUhC+++AIDBgzA7t27XVaL591338U333yDnj17YuDAgbh+/To2btyIv//+G5s3b4ZUKnX6vM6dO+Ojjz7C3r17MXjwYIfH9u7dixYtWsDPzw96vR6DBg2CXq/HgAEDEBwcjMTERPz0009IT0+Hr69vgeI9cOAAKleujIYNGxb6Nedm9OjRqFGjBsaOHYuDBw9i2bJl8Pf3x5YtW9C0aVOMGzcOO3fuxJw5cxAbG4vHH3/cJfv97LPP0K5dO3Tv3h0GgwG7d+/GqFGjsGLFCrRt2xYA8OGHH2LKlCmoW7cu+vTpAwCIjIx0ur3OnTtjwoQJOHPmDOrWrWtff+PGDZw+fRrjx4+3r1u2bBkWLlyIzp07o1evXkhJScHnn3+O/v3749tvv4VKpSrw67ElKR987oULF/D8888jNDQUr732GpRKJfbu3YsRI0Zg8eLF6NChAwBrAstVx37fvn0d/v8CwKFDh7Bz504EBgYCsCZkhw8fjt9++w19+vRBjRo1cP78eaxfvx5XrlzBJ598Yn/u22+/jR07dqBbt25o2LAhjh07VuRhgfHx8QAAf39/h/UzZsyASqVCXFwcbty4gfXr12P69OlYsGBBkfZHRESlA5NRREREpVTt2rUxb948++/p6en4/fffMX78eAwaNMi+fujQoS7bZ+vWre29Ifz9/TFlyhS0aNHC/vidO3fsRZofJJPJ4O/vj9u3b+e6/aZNmyIkJAS7du1ySEbt27cPBoMB3bt3B2DtBfPdd99BJLrfibtHjx7o3LkzvvrqK4wYMaLIr/XkyZP48ssvMXfuXPt+AaBJkyYYPHgw9u3b57D+QeHh4ahfvz727NnjkIw6c+YMrl27hri4OADWnjDXr1/HwoUL0alTJ3s72+MFkZmZicTExBx7/LhC3bp17UOl+vbti3bt2mH27NkYM2aMPenQrVs3tGrVCtu2bXNZMuq7775zKLrev39/9OzZE+vWrbMno3r06IFp06ahcuXKuSY8AesQU5lMhr179zoko/bu3QtBENC5c2cA1qTR4sWL8eabb2LYsGH2dh07dsSzzz6LTZs2OazPSWZmJlJSUqDX6/HHH39gyZIlkMlkeOKJJ+xtZs6ciYoVK2Lbtm32obQvvPACnn/+ecydO9eejHLlsd+gQQM0aNDA/vvVq1fx/vvvo0WLFujXrx8AYOfOnfjll1+wYcMGe48uAKhZsyamTp2KU6dOoWHDhjh37hx27NiBF154AVOnTgVg/TuNHTsW//77b75j0mg0SElJgdlsxqVLl/DBBx8AgMP/D8D6+bN27VoIggDAmjTbsGEDMjIyCpzEJSKi0ofD9IiIiEop25dFG4VCAalUil9//TXPYWSFtWrVKqxcuRITJ05EeHg4NBqNw+NarTbH3kJyuRxarTbX7YvFYnTt2hW///67w5CuXbt2ITg42N6LQyaT2b+Mm0wmpKamQqlUolq1avbeWUW1b98++Pr6okWLFkhJSbH/PProo1AqlXkOLevcuTP++usve88OwJrskMlk9gLbtlkDDx8+nO29LKjMzEwAgLe3d5G2k5tevXrZl8ViMWJiYmCxWBzWq1QqVKtWLdsQtKJ4MBGVlpaGjIwMPPbYY4X+W/v4+KB169bYu3evvVc
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2025-07-10 15:07:31 +08:00
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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": {
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"text/plain": [
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"<Figure size 1200x700 with 1 Axes>"
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2025-07-15 22:45:51 +08:00
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],
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2025-07-10 15:07:31 +08:00
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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": {
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"text/plain": [
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"<Figure size 1200x700 with 1 Axes>"
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2025-07-15 22:45:51 +08:00
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],
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"image/png": "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2025-07-10 15:07:31 +08:00
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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": {
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"text/plain": [
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"<Figure size 1200x700 with 1 Axes>"
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2025-07-15 22:45:51 +08:00
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],
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2025-07-10 15:07:31 +08:00
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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": {
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"text/plain": [
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"<Figure size 1200x700 with 1 Axes>"
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2025-07-15 22:45:51 +08:00
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],
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"image/png": "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2025-07-10 15:07:31 +08:00
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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": {
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"text/plain": [
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"<Figure size 1200x700 with 1 Axes>"
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2025-07-15 22:45:51 +08:00
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],
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2025-07-10 15:07:31 +08:00
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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": {
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"text/plain": [
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"<Figure size 1200x700 with 1 Axes>"
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2025-07-15 22:45:51 +08:00
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],
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"image/png": "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2025-07-10 15:07:31 +08:00
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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": {
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"text/plain": [
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"<Figure size 1200x700 with 1 Axes>"
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2025-07-15 22:45:51 +08:00
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],
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2025-07-10 15:07:31 +08:00
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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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"data": {
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"text/plain": [
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"<Figure size 1200x700 with 1 Axes>"
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2025-07-15 22:45:51 +08:00
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],
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"image/png": "iVBORw0KGgoAAAANSUhEUgAABKAAAAK1CAYAAAD/kpauAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjMsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvZiW1igAAAAlwSFlzAAAPYQAAD2EBqD+naQABAABJREFUeJzs3Xd4VGXax/HvmZ5OGoTQpEhR6lqQrq5rwYquZcWylrWsiF3R3VVsiAVlF3xtoK4VdW2rotgVBQuuiAULvZckhNTp5/1jmIFAgJSZzEzm97kuLk5mnpy5M2dOMuee+7kfwzRNExERERERERERkRixxDsAERERERERERFp3ZSAEhERERERERGRmFICSkREREREREREYkoJKBERERERERERiSkloEREREREREREJKaUgBIRERERERERkZhSAkpERERERERERGJKCSgREREREREREYkpJaBERERERERERCSmlIASEZG469WrF7fddluz97NmzRp69erFzJkzoxBV63X44YczYcKEeIchDfTKK6/Qq1cv1qxZE7V9hs+VV155JWr7TAY7v/a//PJLevXqxZdfftmicZx99tmcffbZLfqYIiIi8aYElIiI7NYbb7zBk08+Ge8w4uLss8+mV69eu/y74IILGr2vSZMmMWbMGA4++GAGDBjAMcccw7Rp06iurt7j9z3xxBP06tWLefPm7XbMiy++SK9evfjggw8aHVcqqaqqYvr06ZxwwgkMGjSI/v37c9xxx3HvvfeycePGeIcXM4l2DocTX+F/vXv35uCDD+bCCy/k22+/jXd4Cefwww+v83wNGTKEM888k/fee69J+5s2bRq9evWirKwsypGKiIjsnS3eAYiISOJ68803+e233/jzn/8c71DioqioiKuvvrrObW3btm30fr7//nsOOOAATj75ZJxOJz/99BOPPvoo8+bN49lnn8Viqf/zoNGjR3PPPffwxhtvMHTo0HrHvPHGG7Rp04aRI0c2Oq5UsXr1av785z+zfv16jj76aE4//XTsdju//PIL//nPf3j//feZM2dOvMOMid2dwx06dGDRokXYbPF5K3jccccxcuRIgsEgK1as4LnnnuOcc87hP//5D7169WqxOA466CAWLVqE3W5vscdsrD59+nDeeecBsGnTJl544QXGjRvHxIkT+dOf/hTn6ERERBpOCSgREZHdyMrK4sQTT2z2fp5//vldbuvcuTN33303ixYtYuDAgfV+X7t27Rg8eDDvvfcet956Kw6Ho879GzduZMGCBZx22mkJfQEdT36/n3HjxlFaWspTTz3FgQceWOf+q666isceeyxO0cWPYRg4nc64Pf5+++1X59w64IAD+Mtf/sLzzz/PxIkTWywOi8US1+ehIdq1a1fnuTrppJM48sgjefLJJ5WAEhGRpKIpeCIiKaqqqoo777yTww8/nL59+zJkyBDOO+88fvzxRyA0Be3jjz9m7dq1kekfhx9+eOT7S0tLuemmmxg6dCj9+vXjhBNO4NVXX93lcYLBIP/+9785/vjj6devH4cccggXXHAB33///S5j33//fY477jj69u3Lsccey6efftrsn9M0Tf7xj3/Qt29f3n333UZ/v9/v3+tUuabo0KEDABUVFXscd8IJJ1BZWcnHH3+8y31vvfUWwWCQ448/HoCZM2dyxhlnMHjwYPr378/JJ5/MO++8s9dYwtNydra73kOffPIJZ555JgMHDmTQoEFcdNFF/Pbbb3t8jO+//55evXrV+xqZO3cuvXr14qOPPgL2/tpsjHfffZeff/6ZSy65ZJfkE0BmZiZXXXVV5Ovd9cfauWdPuHfQ7NmzmT59OiNGjGDQoEGMHz+eyspKvF4vd955J0OGDGHQoEHceOONeL3eyPfvqQdTr169mDZt2h5/rvfff5+LLrqI4cOH07dvX4444ggefPBBAoFAnZh3dw7v/PgzZ86kV69erF27dpfHmjJlCn379mXr1q2R27777jsuuOACDjjgAAYMGMBZZ53FN998s8eY9yR8bFavXl3n9oqKCu68805GjRpF3759+cMf/sCjjz5KMBisM66pr/2de0CFX/P1/du5Z9Prr7/OySefTP/+/Tn44IO56qqrWL9+/S6P8cILL3DEEUfQv39//vjHP7JgwYJGPTc7KywspFu3bpFjtWPvu/Bj9e3bl1NOOYVFixY167FERESiSRVQIiIp6pZbbmHOnDmcddZZdO/enfLycr755huWLl3K/vvvzyWXXEJlZSUbNmzgxhtvBCAjIwMAt9vN2WefzapVqxg7diwdO3bknXfeYcKECVRUVHDuuedGHudvf/sbr7zyCiNHjuSPf/wjgUCABQsW8N1339GvX7/IuG+++YZ3332XM888k4yMDJ5++mnGjx/PRx99RG5ubpN+xkAgwE033RRJEhx66KGN+v4VK1YwcOBAfD4fBQUFnHrqqVx22WVNqjby+/1UVFTg8/n47bffmDp1KhkZGfTv33+P33fkkUcyceJE3nzzTY488sg697355pt06NCBAw44AICnnnqKww8/nOOPPx6fz8dbb73FFVdcwSOPPNLon313XnvtNSZMmMDw4cO59tprqa2t5fnnn+fMM8/k1VdfpWPHjvV+X79+/ejUqRNvv/02Y8aMqXPf7NmzycnJYfjw4cDeX5uNEe6NFY1Ktvo8+uijuFwuLrroIlauXMkzzzyDzWbDMAwqKioYN24c3333Ha+88godOnRg3LhxUXncV199lfT0dM477zzS09P54osv+Ne//kVVVRU33HADwB7P4Z0dc8wx3Hvvvbz99ttceOGFde57++23GTZsGDk5OQDMnz+fv/zlL/Tt25dx48ZhGAavvPIK5557Ls8999xeX9P1CSdTsrOzI7fV1tZy1llnsXHjRs444wzat2/Pt99+y/3338/mzZv529/+Fhkbrdf+QQcdxD333FPntnXr1jF16lTy8vIitz300EP885//5JhjjuGPf/wjZWVlPPPMM4wdO5bXXnst8nO89NJL3HzzzQwaNIhzzz2X1atXc+mll5KTk0P79u0b/TwB+Hw+NmzYQJs2berc/uabb1JdXc3pp5+OYRjMmDGDyy+/nPfff18VkiIikhCUgBIRSVGffPIJp512Wp1qj7/85S+R7WHDhvHUU09RUVGxy8X7Cy+8wNKlS7n33ns54YQTADjjjDM4++yzmTp1KqeccgqZmZl88cUXvPLKK5x99tn8/e9/j3z/+eefj2madfa5dOlSZs+eTefOnQEYPHgwJ554Im+99RZnnXVWo38+v9/Pddddx4cffshDDz0USW40VKdOnRg8eDA9e/akpqaGOXPm8NBDD7FixQqmTp3a6Hh++OEHTj/99MjXXbt25aGHHtrlInJnmZmZHHbYYXz00UdUVVWRmZkJwLJly/jxxx+5+OKLMQwDgDlz5uByuSLfO3bsWE4++WSeeOKJqCSgqqurufPOOzn11FO5/fbbI7ePGTOGo48+mkceeaTO7TsbPXo0jz/+OFu3bo0kM7xeL++//z5/+MMfIhfJe3ttNsayZcvIyspq8sX+3gQCAZ5++ulI7Fu2bOGtt95ixIgRkal9Y8eOZdWqVbzyyitRS0BNmTKlzrH+05/+xM0338zzzz/PVVddhcPh2OM5vLPi4mIGDhzI7Nmz6ySgFi1axOrVqyNxm6bJxIkTGTx4MDNmzIi89s444wyOPfZYpk6dyuOPP77X+GtraykrK4v0gJo8eTIARx11VGTME088werVq3n11VfZZ599Io/Ttm1bZs6cyfnnnx85rtF67Xfq1IlOnTpFvvZ4PPzpT3+ibdu2kd9ha9euZdq0aVx55ZVccsklkbFHHnkkY8aM4bnnnuOSSy7B5/PxwAMP0KdPH5566qnIFNoePXrwj3/8o8GvSb/fH2kavmnTJh599FFKSkp2qchat24d7777buTc6tq1K3/961/57LPPOOywwxr8HIiIiMSKpuCJiKSo7OxsvvvuuyatAPbpp59SWFjIcccdF7nNbrdz9tlnU1NTw9dffw2Epj8ZhlHvRXf4wjV
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2025-07-10 15:07:31 +08:00
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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": {
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"text/plain": [
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"<Figure size 1200x700 with 1 Axes>"
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2025-07-15 22:45:51 +08:00
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],
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2025-07-10 15:07:31 +08:00
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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": {
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"text/plain": [
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"<Figure size 1200x700 with 1 Axes>"
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2025-07-15 22:45:51 +08:00
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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": {
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"text/plain": [
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"<Figure size 1200x700 with 1 Axes>"
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],
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"output_type": "display_data"
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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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{
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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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},
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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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
|
2025-07-10 15:07:31 +08:00
|
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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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"name": "stdout",
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"output_type": "stream",
|
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"text": [
|
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"\n",
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"所有指标的分析图表已生成。\n"
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]
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}
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],
|
2025-07-15 22:45:51 +08:00
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"execution_count": 40
|
2025-07-10 15:07:31 +08:00
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}
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],
|
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"metadata": {
|
|
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|
"kernelspec": {
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|
"display_name": "quant",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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|
"name": "ipython",
|
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"version": 3
|
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},
|
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"file_extension": ".py",
|
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"mimetype": "text/x-python",
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"name": "python",
|
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"nbconvert_exporter": "python",
|
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|
"pygments_lexer": "ipython3",
|
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"version": "3.12.11"
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}
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},
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"nbformat": 4,
|
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"nbformat_minor": 5
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}
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