667 lines
3.1 MiB
Plaintext
667 lines
3.1 MiB
Plaintext
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 233,
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"id": "initial_id",
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"metadata": {
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"ExecuteTime": {
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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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"collapsed": true
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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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"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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},
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{
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"cell_type": "code",
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"execution_count": 234,
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"id": "a559dfcf",
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"metadata": {
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"ExecuteTime": {
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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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}
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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@CZCE_SR/KQ_m@CZCE_SR_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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"总计发生了 82 笔交易。\n",
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"最终总净值: 100369.29\n",
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"总收益率: 0.37%\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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" 2024-06-13 14:00:00 | BUY | CZCE.SR409 | Vol: 1 | Price: 6169.00 | Comm: 0.62\n",
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" 2024-06-13 22:00:00 | CLOSE_LONG | CZCE.SR409 | Vol: 1 | Price: 6200.00 | Comm: 0.62 | PnL: 31.00\n",
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" 2024-07-25 21:00:00 | SELL | CZCE.SR409 | Vol: 1 | Price: 6209.00 | Comm: 0.62\n",
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" 2024-07-26 22:00:00 | CLOSE_SHORT | CZCE.SR409 | Vol: 1 | Price: 6144.00 | Comm: 0.61 | PnL: 65.00\n",
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" 2024-08-12 09:00:00 | BUY | CZCE.SR409 | Vol: 1 | Price: 5976.00 | Comm: 0.60\n",
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" 2024-08-12 11:00:00 | CLOSE_LONG | CZCE.SR409 | Vol: 1 | Price: 6030.00 | Comm: 0.60 | PnL: 54.00\n",
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" 2024-08-13 14:00:00 | SELL | CZCE.SR409 | Vol: 1 | Price: 6034.00 | Comm: 0.60\n",
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" 2024-08-14 11:00:00 | CLOSE_SHORT | CZCE.SR409 | Vol: 1 | Price: 5988.00 | Comm: 0.60 | PnL: 46.00\n",
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" 2024-08-20 14:00:00 | SELL | CZCE.SR501 | Vol: 1 | Price: 5641.00 | Comm: 0.56\n",
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" 2024-08-20 22:00:00 | CLOSE_SHORT | CZCE.SR501 | Vol: 1 | Price: 5594.00 | Comm: 0.56 | PnL: 47.00\n",
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" 2024-08-23 11:00:00 | SELL | CZCE.SR501 | Vol: 1 | Price: 5527.00 | Comm: 0.55\n",
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" 2024-08-23 21:00:00 | CLOSE_SHORT | CZCE.SR501 | Vol: 1 | Price: 5563.00 | Comm: 0.56 | PnL: -36.00\n",
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" 2024-08-28 09:00:00 | SELL | CZCE.SR501 | Vol: 1 | Price: 5663.00 | Comm: 0.57\n",
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" 2024-08-28 21:00:00 | CLOSE_SHORT | CZCE.SR501 | Vol: 1 | Price: 5628.00 | Comm: 0.56 | PnL: 35.00\n",
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" 2024-09-03 13:00:00 | SELL | CZCE.SR501 | Vol: 1 | Price: 5629.00 | Comm: 0.56\n",
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" 2024-09-04 09:00:00 | CLOSE_SHORT | CZCE.SR501 | Vol: 1 | Price: 5591.00 | Comm: 0.56 | PnL: 38.00\n",
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" 2024-09-18 22:00:00 | SELL | CZCE.SR501 | Vol: 1 | Price: 5786.00 | Comm: 0.58\n",
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" 2024-09-19 09:00:00 | CLOSE_SHORT | CZCE.SR501 | Vol: 1 | Price: 5810.00 | Comm: 0.58 | PnL: -24.00\n",
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" 2024-09-30 14:00:00 | BUY | CZCE.SR501 | Vol: 1 | Price: 5922.00 | Comm: 0.59\n",
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" 2024-10-08 11:00:00 | CLOSE_LONG | CZCE.SR501 | Vol: 1 | Price: 5895.00 | Comm: 0.59 | PnL: -27.00\n",
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" 2024-10-18 14:00:00 | SELL | CZCE.SR501 | Vol: 1 | Price: 5866.00 | Comm: 0.59\n",
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" 2024-10-18 21:00:00 | CLOSE_SHORT | CZCE.SR501 | Vol: 1 | Price: 5885.00 | Comm: 0.59 | PnL: -19.00\n",
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" 2024-10-24 09:00:00 | SELL | CZCE.SR501 | Vol: 1 | Price: 5924.00 | Comm: 0.59\n",
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" 2024-10-24 13:00:00 | CLOSE_SHORT | CZCE.SR501 | Vol: 1 | Price: 5945.00 | Comm: 0.59 | PnL: -21.00\n",
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" 2024-11-11 21:00:00 | BUY | CZCE.SR501 | Vol: 1 | Price: 5911.00 | Comm: 0.59\n",
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" 2024-11-12 10:00:00 | CLOSE_LONG | CZCE.SR501 | Vol: 1 | Price: 5930.00 | Comm: 0.59 | PnL: 19.00\n",
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" 2024-11-12 11:00:00 | SELL | CZCE.SR501 | Vol: 1 | Price: 5937.00 | Comm: 0.59\n",
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" 2024-11-12 22:00:00 | CLOSE_SHORT | CZCE.SR501 | Vol: 1 | Price: 5979.00 | Comm: 0.60 | PnL: -42.00\n",
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" 2024-11-13 14:00:00 | BUY | CZCE.SR501 | Vol: 1 | Price: 5937.00 | Comm: 0.59\n",
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" 2024-11-14 21:00:00 | CLOSE_LONG | CZCE.SR501 | Vol: 1 | Price: 5877.00 | Comm: 0.59 | PnL: -60.00\n",
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" 2024-11-22 14:00:00 | BUY | CZCE.SR501 | Vol: 1 | Price: 5936.00 | Comm: 0.59\n",
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" 2024-11-22 21:00:00 | CLOSE_LONG | CZCE.SR501 | Vol: 1 | Price: 5906.00 | Comm: 0.59 | PnL: -30.00\n",
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" 2024-11-25 22:00:00 | SELL | CZCE.SR501 | Vol: 1 | Price: 5949.00 | Comm: 0.59\n",
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" 2024-11-26 21:00:00 | CLOSE_SHORT | CZCE.SR501 | Vol: 1 | Price: 5990.00 | Comm: 0.60 | PnL: -41.00\n",
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" 2024-11-28 21:00:00 | SELL | CZCE.SR501 | Vol: 1 | Price: 6066.00 | Comm: 0.61\n",
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" 2024-11-28 22:00:00 | CLOSE_SHORT | CZCE.SR501 | Vol: 1 | Price: 6085.00 | Comm: 0.61 | PnL: -19.00\n",
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" 2024-11-29 10:00:00 | SELL | CZCE.SR501 | Vol: 1 | Price: 6131.00 | Comm: 0.61\n",
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" 2024-12-02 11:00:00 | CLOSE_SHORT | CZCE.SR501 | Vol: 1 | Price: 6064.00 | Comm: 0.61 | PnL: 67.00\n",
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" 2024-12-04 21:00:00 | BUY | CZCE.SR501 | Vol: 1 | Price: 5995.00 | Comm: 0.60\n",
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" 2024-12-04 22:00:00 | CLOSE_LONG | CZCE.SR501 | Vol: 1 | Price: 5979.00 | Comm: 0.60 | PnL: -16.00\n",
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" 2024-12-05 21:00:00 | BUY | CZCE.SR501 | Vol: 1 | Price: 5926.00 | Comm: 0.59\n",
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" 2024-12-06 09:00:00 | CLOSE_LONG | CZCE.SR501 | Vol: 1 | Price: 5982.00 | Comm: 0.60 | PnL: 56.00\n",
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" 2024-12-06 14:00:00 | SELL | CZCE.SR501 | Vol: 1 | Price: 6002.00 | Comm: 0.60\n",
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" 2024-12-09 14:00:00 | CLOSE_SHORT | CZCE.SR501 | Vol: 1 | Price: 6018.00 | Comm: 0.60 | PnL: -16.00\n",
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" 2024-12-11 09:00:00 | SELL | CZCE.SR505 | Vol: 1 | Price: 6042.00 | Comm: 0.60\n",
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" 2024-12-11 22:00:00 | CLOSE_SHORT | CZCE.SR505 | Vol: 1 | Price: 6061.00 | Comm: 0.61 | PnL: -19.00\n",
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" 2024-12-12 14:00:00 | SELL | CZCE.SR505 | Vol: 1 | Price: 6138.00 | Comm: 0.61\n",
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" 2024-12-13 11:00:00 | CLOSE_SHORT | CZCE.SR505 | Vol: 1 | Price: 6087.00 | Comm: 0.61 | PnL: 51.00\n",
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" 2024-12-16 09:00:00 | BUY | CZCE.SR505 | Vol: 1 | Price: 6031.00 | Comm: 0.60\n",
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" 2024-12-16 13:00:00 | CLOSE_LONG | CZCE.SR505 | Vol: 1 | Price: 6007.00 | Comm: 0.60 | PnL: -24.00\n",
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" 2024-12-18 09:00:00 | BUY | CZCE.SR505 | Vol: 1 | Price: 5907.00 | Comm: 0.59\n",
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" 2024-12-19 09:00:00 | CLOSE_LONG | CZCE.SR505 | Vol: 1 | Price: 5875.00 | Comm: 0.59 | PnL: -32.00\n",
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" 2024-12-27 11:00:00 | SELL | CZCE.SR505 | Vol: 1 | Price: 5953.00 | Comm: 0.60\n",
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" 2024-12-30 21:00:00 | CLOSE_SHORT | CZCE.SR505 | Vol: 1 | Price: 5978.00 | Comm: 0.60 | PnL: -25.00\n",
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" 2025-01-10 09:00:00 | SELL | CZCE.SR505 | Vol: 1 | Price: 5910.00 | Comm: 0.59\n",
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" 2025-01-10 22:00:00 | CLOSE_SHORT | CZCE.SR505 | Vol: 1 | Price: 5870.00 | Comm: 0.59 | PnL: 40.00\n",
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" 2025-01-16 09:00:00 | BUY | CZCE.SR505 | Vol: 1 | Price: 5759.00 | Comm: 0.58\n",
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" 2025-01-16 21:00:00 | CLOSE_LONG | CZCE.SR505 | Vol: 1 | Price: 5802.00 | Comm: 0.58 | PnL: 43.00\n",
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" 2025-02-05 21:00:00 | SELL | CZCE.SR505 | Vol: 1 | Price: 5888.00 | Comm: 0.59\n",
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" 2025-02-07 10:00:00 | CLOSE_SHORT | CZCE.SR505 | Vol: 1 | Price: 5852.00 | Comm: 0.59 | PnL: 36.00\n",
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" 2025-03-03 09:00:00 | SELL | CZCE.SR505 | Vol: 1 | Price: 5931.00 | Comm: 0.59\n",
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" 2025-03-04 22:00:00 | CLOSE_SHORT | CZCE.SR505 | Vol: 1 | Price: 5899.00 | Comm: 0.59 | PnL: 32.00\n",
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" 2025-03-14 09:00:00 | SELL | CZCE.SR505 | Vol: 1 | Price: 6047.00 | Comm: 0.60\n",
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" 2025-03-14 22:00:00 | CLOSE_SHORT | CZCE.SR505 | Vol: 1 | Price: 6013.00 | Comm: 0.60 | PnL: 34.00\n",
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" 2025-03-18 13:00:00 | SELL | CZCE.SR505 | Vol: 1 | Price: 6109.00 | Comm: 0.61\n",
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" 2025-03-20 22:00:00 | CLOSE_SHORT | CZCE.SR505 | Vol: 1 | Price: 6146.00 | Comm: 0.61 | PnL: -37.00\n",
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" 2025-03-31 21:00:00 | SELL | CZCE.SR505 | Vol: 1 | Price: 6120.00 | Comm: 0.61\n",
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" 2025-04-01 21:00:00 | CLOSE_SHORT | CZCE.SR505 | Vol: 1 | Price: 6153.00 | Comm: 0.62 | PnL: -33.00\n",
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" 2025-04-10 09:00:00 | SELL | CZCE.SR505 | Vol: 1 | Price: 6053.00 | Comm: 0.61\n",
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" 2025-04-10 21:00:00 | CLOSE_SHORT | CZCE.SR505 | Vol: 1 | Price: 6074.00 | Comm: 0.61 | PnL: -21.00\n",
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" 2025-04-17 11:00:00 | SELL | CZCE.SR509 | Vol: 1 | Price: 5937.00 | Comm: 0.59\n",
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" 2025-04-17 22:00:00 | CLOSE_SHORT | CZCE.SR509 | Vol: 1 | Price: 5954.00 | Comm: 0.60 | PnL: -17.00\n",
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" 2025-04-21 09:00:00 | SELL | CZCE.SR509 | Vol: 1 | Price: 5995.00 | Comm: 0.60\n",
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" 2025-04-21 11:00:00 | CLOSE_SHORT | CZCE.SR509 | Vol: 1 | Price: 6017.00 | Comm: 0.60 | PnL: -22.00\n",
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" 2025-04-21 21:00:00 | BUY | CZCE.SR509 | Vol: 1 | Price: 6001.00 | Comm: 0.60\n",
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" 2025-04-21 22:00:00 | CLOSE_LONG | CZCE.SR509 | Vol: 1 | Price: 5982.00 | Comm: 0.60 | PnL: -19.00\n",
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" 2025-04-22 13:00:00 | SELL | CZCE.SR509 | Vol: 1 | Price: 5996.00 | Comm: 0.60\n",
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" 2025-04-23 22:00:00 | CLOSE_SHORT | CZCE.SR509 | Vol: 1 | Price: 5929.00 | Comm: 0.59 | PnL: 67.00\n",
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" 2025-05-12 14:00:00 | SELL | CZCE.SR509 | Vol: 1 | Price: 5888.00 | Comm: 0.59\n",
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" 2025-05-13 11:00:00 | CLOSE_SHORT | CZCE.SR509 | Vol: 1 | Price: 5858.00 | Comm: 0.59 | PnL: 30.00\n",
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" 2025-05-23 11:00:00 | SELL | CZCE.SR509 | Vol: 1 | Price: 5839.00 | Comm: 0.58\n",
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" 2025-05-27 10:00:00 | CLOSE_SHORT | CZCE.SR509 | Vol: 1 | Price: 5821.00 | Comm: 0.58 | PnL: 18.00\n",
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"正在计算绩效指标...\n",
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"total_return: 0.0036928590000002703, annualized_return:0.0025764057601140866, 252 / total_days:0.6980609418282548\n",
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"绩效指标计算完成。\n",
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"\n",
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"--- 回测绩效报告 ---\n",
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"初始资金 : 100000.00\n",
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"最终资金 : 100369.29\n",
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"总收益率 : 0.37%\n",
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"年化收益率 : 0.26%\n",
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"最大回撤 : 0.56%\n",
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"夏普比率 : 0.29\n",
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"卡玛比率 : 0.46\n",
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"总交易次数 : 82\n",
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"总实现盈亏 : 209.00\n",
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"交易成本 : 48.71\n",
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"\n",
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"--- 交易详情 ---\n",
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"盈利交易次数 : 19\n",
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"亏损交易次数 : 22\n",
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"胜率 : 46.34%\n",
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"盈亏比 : 1.56\n",
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"平均每次盈利 : 42.58\n",
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"平均每次亏损 : -27.27\n",
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"正在绘制绩效图表...\n"
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]
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},
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{
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"data": {
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"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1400x1000 with 2 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1400x700 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"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(100369.28590000003), '总收益率': np.float64(0.0036928590000002703), '年化收益率': np.float64(0.0025764057601140866), '最大回撤': np.float64(0.005551160411131863), '夏普比率': np.float64(0.2881140747461296), '卡玛比率': np.float64(0.4641202143875295), '总交易次数': 82, '交易成本': 48.7141, '总实现盈亏': 209.0, '胜率': 0.4634146341463415, '盈亏比': 1.5612280701754386, '盈利交易次数': 19, '亏损交易次数': 22, '平均每次盈利': 42.578947368421055, '平均每次亏损': -27.272727272727273, 'initial_capital': 100000.0, 'final_capital': np.float64(100369.28590000003), 'total_return': np.float64(0.0036928590000002703), 'annualized_return': np.float64(0.0025764057601140866), 'max_drawdown': np.float64(0.005551160411131863), 'sharpe_ratio': np.float64(0.2881140747461296), 'calmar_ratio': np.float64(0.4641202143875295), 'total_trades': 82, 'transaction_costs': 48.7141, 'total_realized_pnl': 209.0, 'win_rate': 0.4634146341463415, 'profit_loss_ratio': 1.5612280701754386, 'winning_trades_count': 19, 'losing_trades_count': 22, 'avg_profit_per_trade': 42.578947368421055, 'avg_loss_per_trade': -27.272727272727273}\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"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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"image/png": "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|||
|
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"text/plain": [
|
|||
|
|
"<Figure size 1200x700 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"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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},
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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": [
|
|||
|
|
"<Figure size 1200x700 with 1 Axes>"
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|||
|
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]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"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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},
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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": [
|
|||
|
|
"<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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},
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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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"image/png": "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|
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"text/plain": [
|
|||
|
|
"<Figure size 1200x700 with 1 Axes>"
|
|||
|
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]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"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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},
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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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"image/png": "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|
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"text/plain": [
|
|||
|
|
"<Figure size 1200x700 with 1 Axes>"
|
|||
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]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"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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"metadata": {},
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{
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"data": {
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|
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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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]
|
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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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|
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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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},
|
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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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"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1200x700 with 1 Axes>"
|
|||
|
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]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
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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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"image/png": "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"text/plain": [
|
|||
|
|
"<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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},
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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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"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1200x700 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
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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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|||
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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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|
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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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"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1200x700 with 1 Axes>"
|
|||
|
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]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
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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": [
|
|||
|
|
"<Figure size 1200x700 with 1 Axes>"
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]
|
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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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},
|
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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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"image/png": "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|||
|
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"text/plain": [
|
|||
|
|
"<Figure size 1200x700 with 1 Axes>"
|
|||
|
|
]
|
|||
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|
},
|
|||
|
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"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
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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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{
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"data": {
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"text/plain": [
|
|||
|
|
"<Figure size 1200x700 with 1 Axes>"
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]
|
|||
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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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|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1200x700 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1200x700 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"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"
|
|||
|
|
]
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"\n",
|
|||
|
|
"from turtle import down\n",
|
|||
|
|
"\n",
|
|||
|
|
"from numpy import double\n",
|
|||
|
|
"from src.analysis.result_analyzer import ResultAnalyzer\n",
|
|||
|
|
"# 导入所有必要的模块\n",
|
|||
|
|
"from src.data_manager import DataManager\n",
|
|||
|
|
"from src.backtest_engine import BacktestEngine\n",
|
|||
|
|
"from src.indicators.indicator_list import INDICATOR_LIST\n",
|
|||
|
|
"from src.indicators.indicators import ADX, RSI, BollingerBandwidth, HistoricalRange, NormalizedATR, RateOfChange, StochasticOscillator\n",
|
|||
|
|
"from src.strategies.OpenTwoFactorStrategy import SimpleLimitBuyStrategyLong, SimpleLimitBuyStrategyShort, SimpleLimitBuyStrategy\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
"# --- 配置参数 ---\n",
|
|||
|
|
"# 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",
|
|||
|
|
"# data_file_path = '/mnt/d/PyProject/NewQuant/data/data/SHFE_rb2510/SHFE_rb2510_min60.csv'\n",
|
|||
|
|
"# data_file_path = \"/mnt/d/PyProject/NewQuant/data/data/KQ_m@CZCE_MA/KQ_m@CZCE_MA_min60.csv\"\n",
|
|||
|
|
"# data_file_path = \"/mnt/d/PyProject/NewQuant/data/data/KQ_m@SHFE_rb/KQ_m@SHFE_rb_min60.csv\"\n",
|
|||
|
|
"data_file_path = \"/mnt/d/PyProject/NewQuant/data/data/KQ_m@CZCE_SR/KQ_m@CZCE_SR_min60.csv\"\n",
|
|||
|
|
"\n",
|
|||
|
|
"initial_capital = 100000.0\n",
|
|||
|
|
"slippage_rate = 0.000 # 假设每笔交易0.1%的滑点\n",
|
|||
|
|
"commission_rate = 0.0001 # 假设每笔交易0.02%的佣金\n",
|
|||
|
|
"\n",
|
|||
|
|
"global_config = {\n",
|
|||
|
|
" 'symbol': 'KQ_m@CZCE_SR',\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Short 可用\n",
|
|||
|
|
"strategy_parameters = {\n",
|
|||
|
|
" 'main_symbol': \"SR\", # 根据您的数据文件中的品种名称调整\n",
|
|||
|
|
" 'trade_volume': 1,\n",
|
|||
|
|
" # 'lag': 1,\n",
|
|||
|
|
" # 'lag': 7,\n",
|
|||
|
|
" # 'range_factor': 2.4, # 示例值，需要通过网格搜索优化\n",
|
|||
|
|
" # 'profit_factor': 0.7, # 示例值\n",
|
|||
|
|
" # 'range_factor': 1.7, # 示例值，需要通过网格搜索优化\n",
|
|||
|
|
" # 'profit_factor': 2.1, # 示例值\n",
|
|||
|
|
" 'range_factor_l': 2.4, # 示例值，需要通过网格搜索优化\n",
|
|||
|
|
" 'profit_factor_l': 0.7, # 示例值\n",
|
|||
|
|
" 'range_factor_s': 1.7, # 示例值，需要通过网格搜索优化\n",
|
|||
|
|
" 'profit_factor_s': 2.1, # 示例值\n",
|
|||
|
|
" 'max_position': 10,\n",
|
|||
|
|
" 'enable_log': False,\n",
|
|||
|
|
" 'stop_loss_points': 15,\n",
|
|||
|
|
" 'use_indicator': True,\n",
|
|||
|
|
" # 'indicator': ADX(window=14, down_bound=25, up_bound=60),\n",
|
|||
|
|
" # 'indicator': ADX(window=7, down_bound=34, up_bound=71),\n",
|
|||
|
|
" 'indicator_l': BollingerBandwidth(window=50, down_bound=2.8, up_bound=8.1),\n",
|
|||
|
|
" 'indicator_s': ADX(window=7, down_bound=34, up_bound=71),\n",
|
|||
|
|
" 'lag_l': 1,\n",
|
|||
|
|
" 'lag_s': 7,\n",
|
|||
|
|
"}\n",
|
|||
|
|
"start_time = datetime(2021, 1, 1)\n",
|
|||
|
|
"end_time = datetime(2024, 6, 1)\n",
|
|||
|
|
"\n",
|
|||
|
|
"start_time = datetime(2024, 6, 1)\n",
|
|||
|
|
"end_time = datetime(2025, 6, 1)\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
"# --- 1. 初始化数据管理器 ---\n",
|
|||
|
|
"print(\"初始化数据管理器...\")\n",
|
|||
|
|
"data_manager = DataManager(file_path=data_file_path, symbol=global_config['symbol'], start_time=start_time, end_time=end_time)\n",
|
|||
|
|
"# 确保 DataManager 能够重置以进行多次回测\n",
|
|||
|
|
"# data_manager.reset() # 首次运行不需要重置\n",
|
|||
|
|
"\n",
|
|||
|
|
"# --- 2. 初始化回测引擎并运行 ---\n",
|
|||
|
|
"print(\"\\n初始化回测引擎...\")\n",
|
|||
|
|
"engine = BacktestEngine(\n",
|
|||
|
|
" data_manager=data_manager,\n",
|
|||
|
|
" strategy_class=SimpleLimitBuyStrategy,\n",
|
|||
|
|
" # current_segment_symbol=strategy_parameters['symbol'],\n",
|
|||
|
|
" strategy_params=strategy_parameters,\n",
|
|||
|
|
" initial_capital=initial_capital,\n",
|
|||
|
|
" slippage_rate=slippage_rate,\n",
|
|||
|
|
" commission_rate=commission_rate,\n",
|
|||
|
|
" roll_over_mode=True,\n",
|
|||
|
|
" start_time=start_time,\n",
|
|||
|
|
" end_time=end_time,\n",
|
|||
|
|
" indicators=INDICATOR_LIST\n",
|
|||
|
|
")\n",
|
|||
|
|
"\n",
|
|||
|
|
"print(\"\\n开始运行回测...\")\n",
|
|||
|
|
"engine.run_backtest()\n",
|
|||
|
|
"print(\"\\n回测运行完毕。\")\n",
|
|||
|
|
"\n",
|
|||
|
|
"# --- 3. 获取回测结果 ---\n",
|
|||
|
|
"results = engine.get_backtest_results()\n",
|
|||
|
|
"portfolio_snapshots = results[\"portfolio_snapshots\"]\n",
|
|||
|
|
"trade_history = results[\"trade_history\"]\n",
|
|||
|
|
"initial_capital_result = results[\"initial_capital\"]\n",
|
|||
|
|
"bars = results[\"all_bars\"]\n",
|
|||
|
|
"\n",
|
|||
|
|
"# --- 4. 结果分析与可视化 ---\n",
|
|||
|
|
"if portfolio_snapshots:\n",
|
|||
|
|
" analyzer = ResultAnalyzer(portfolio_snapshots, trade_history, bars, initial_capital_result, INDICATOR_LIST)\n",
|
|||
|
|
"\n",
|
|||
|
|
" analyzer.generate_report()\n",
|
|||
|
|
" analyzer.plot_performance()\n",
|
|||
|
|
" metrics = analyzer.calculate_all_metrics()\n",
|
|||
|
|
" print(metrics)\n",
|
|||
|
|
"\n",
|
|||
|
|
" analyzer.analyze_indicators()\n",
|
|||
|
|
"else:\n",
|
|||
|
|
" print(\"\\n没有生成投资组合快照，无法进行结果分析。\")\n",
|
|||
|
|
"\n",
|
|||
|
|
"# --- 4. 结果分析与可视化 (待实现) ---\n",
|
|||
|
|
"# if portfolio_snapshots:\n",
|
|||
|
|
"# analyzer = ResultAnalyzer(portfolio_snapshots, trade_history, initial_capital_result)\n",
|
|||
|
|
"# metrics = analyzer.calculate_all_metrics()\n",
|
|||
|
|
"# print(\"\\n--- 绩效指标 ---\")\n",
|
|||
|
|
"# for key, value in metrics.items():\n",
|
|||
|
|
"# print(f\" {key}: {value:.4f}\")\n",
|
|||
|
|
"#\n",
|
|||
|
|
"# print(\"\\n--- 绘制绩效图表 ---\")\n",
|
|||
|
|
"# analyzer.plot_performance()\n",
|
|||
|
|
"# else:\n",
|
|||
|
|
"# print(\"\\n没有生成投资组合快照，无法进行结果分析。\")\n",
|
|||
|
|
"\n"
|
|||
|
|
]
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"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
|
|||
|
|
}
|