{ "cells": [ { "cell_type": "markdown", "id": "c528832e-c894-4ccc-9625-9e41cf4c3110", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "# 快速上手" ] }, { "cell_type": "raw", "id": "6338414b-a8ad-49ff-8968-76ce3ccb107d", "metadata": { "editable": true, "raw_mimetype": "text/html", "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "" ] }, { "cell_type": "markdown", "id": "82cd8cfa-ba8e-48fd-a27e-384a51fee7a3", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "### 下载数据\n", "\n", "股票列表、股票日K以及宽基指数日K数据。其中宽基指数包括：上证指数、深证成指、创业板指、科创指数、上证50、沪深300、中证500、中证1000" ] }, { "cell_type": "code", "execution_count": 1, "id": "f966715e-5bbe-4982-9054-e745cadf4952", "metadata": {}, "outputs": [], "source": [ "import tradepy\n", "from tradepy.collectors.stock_listing import StocksListingCollector\n", "from tradepy.collectors.stock_day_bars import StockDayBarsCollector\n", "from tradepy.collectors.market_index import BroadBasedIndexCollector\n", "from tradepy.collectors.etf_day_bars import ETFDayBarsCollector\n", "from tradepy.collectors.etf_listing import ETFListingCollector\n", "from tradepy.collectors.adjust_factor import AdjustFactorCollector\n", "from tradepy.depot.stocks import StocksDailyBarsDepot" ] }, { "cell_type": "code", "execution_count": 2, "id": "661e0f38-78aa-4889-9085-adab14ef969d", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "PosixPath('/Users/dilu/Desktop/Software/Stock/database2')" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# 本地数据将保存到此目录。该可在 ~/.tradepy/config.yaml 中修改\n", "tradepy.config.common.database_dir" ] }, { "cell_type": "markdown", "id": "2cf906cc-6d32-4216-9114-bf58354228a6", "metadata": {}, "source": [ "##### 下载股票列表、复权因子\n", "\n", "需要分别获取个股的行业分类和市值数据，耗时需10-20分钟。 如果运行失败，可降低`batch_size`后重试" ] }, { "cell_type": "code", "execution_count": 6, "id": "cf835dd9-efe2-499a-9334-f4e852815e14", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "\u001b[32m[stock_listing] [2023-08-17 22:57:40,439] [INFO]: =============== 开始更新A股上市公司列表 ===============\u001b[0m\n", "\u001b[32m[stock_listing] [2023-08-17 22:57:51,807] [INFO]: 获取个股的东财行业分类信息\u001b[0m \n", "\u001b[32m[base] [2023-08-17 22:57:51,809] [INFO]: \n", "[StocksListingCollector]:\n", " 5042 下载任务\n", " 批大小 = 25\n", " 批数量 = 202\n", " 每批间隔(s) = 3\n", " 临时下载目录: /var/folders/w2/yctzhkrd5wbdg8p7tsf9205w0000gn/T/tmp6ljdlfs9\n", " \u001b[0m\n", "100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 202/202 [11:53<00:00, 3.53s/it]\n", "\u001b[32m[stock_listing] [2023-08-17 23:09:45,390] [INFO]: 已下载至 /Users/dilu/Desktop/Software/Stock/database2/listing.csv\u001b[0m\n" ] } ], "source": [ "StocksListingCollector().run(batch_size=25)" ] }, { "cell_type": "code", "execution_count": 3, "id": "55d22824-d240-445c-9eb0-28d666520dec", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "\u001b[32m[adjust_factor] [2023-08-18 15:14:28,294] [INFO]: =============== 开始更新个股复权因子 ===============\u001b[0m\n", "\u001b[32m[adjust_factor] [2023-08-18 15:14:28,296] [INFO]: 下载中\u001b[0m\n", "\u001b[32m[base] [2023-08-18 15:14:28,297] [INFO]: \n", "[AdjustFactorCollector]:\n", " 5042 下载任务\n", " 批大小 = 25\n", " 批数量 = 202\n", " 每批间隔(s) = 2\n", " 临时下载目录: /var/folders/w2/yctzhkrd5wbdg8p7tsf9205w0000gn/T/tmp_as7d1ay\n", " \u001b[0m\n", "100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 202/202 [10:56<00:00, 3.25s/it]\n", "\u001b[32m[adjust_factor] [2023-08-18 15:25:25,407] [INFO]: 添加头尾时间边界1900, 3000\u001b[0m\n", "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 5042/5042 [00:15<00:00, 328.15it/s]\n", "\u001b[32m[adjust_factor] [2023-08-18 15:25:41,330] [INFO]: 已下载至 /Users/dilu/Desktop/Software/Stock/database2/adjust_factors.csv\u001b[0m\n" ] }, { "data": { "text/html": [ "
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" ], "text/plain": [ " timestamp hfq_factor\n", "code \n", "000001 1900-01-01 1.0000000000000000\n", "000001 1991-04-03 1.0000000000000000\n", "000001 1991-08-19 1.3089531680441000\n", "000001 1992-03-23 1.9756060606061000\n", "000001 1993-05-24 3.7625186877754000\n", "... ... ...\n", "688819 2023-05-19 1.0497824990630000\n", "688819 3000-01-01 NaN\n", "688981 1900-01-01 1.0000000000000000\n", "688981 2020-07-16 1.0000000000000000\n", "688981 3000-01-01 NaN\n", "\n", "[58961 rows x 2 columns]" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "AdjustFactorCollector().run(batch_size=25)" ] }, { "cell_type": "markdown", "id": "56b4b3b3-68f5-441f-ab0d-791c1e28cc41", "metadata": {}, "source": [ "##### 下载宽基指数日K" ] }, { "cell_type": "code", "execution_count": 5, "id": "e18e9961-cafa-46a1-ad30-14f532d15c1f", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "\u001b[32m[market_index] [2023-08-17 22:56:52,451] [INFO]: =============== 开始更新宽基指数 ===============\u001b[0m\n", "\u001b[32m[market_index] [2023-08-17 22:56:54,569] [INFO]: 下载 SSE\u001b[0m \n", "\u001b[32m[market_index] [2023-08-17 22:56:55,128] [INFO]: 下载 SZSE\u001b[0m\n", "\u001b[32m[market_index] [2023-08-17 22:56:55,719] [INFO]: 下载 ChiNext\u001b[0m\n", "\u001b[32m[market_index] [2023-08-17 22:56:56,167] [INFO]: 下载 STAR\u001b[0m\n", "\u001b[32m[market_index] [2023-08-17 22:56:56,553] [INFO]: 下载 CSI-300\u001b[0m\n", "\u001b[32m[market_index] [2023-08-17 22:56:57,089] [INFO]: 下载 CSI-500\u001b[0m\n", "\u001b[32m[market_index] [2023-08-17 22:56:57,652] [INFO]: 下载 CSI-1000\u001b[0m\n", "\u001b[32m[market_index] [2023-08-17 22:56:57,975] [INFO]: 下载 SSE-50\u001b[0m\n" ] } ], "source": [ "BroadBasedIndexCollector().run()" ] }, { "cell_type": "markdown", "id": "340e661e-3a3f-4f61-b92d-5ed7906bb169", "metadata": {}, "source": [ "##### 下载ETF基金日K" ] }, { "cell_type": "code", "execution_count": 3, "id": "ce7e7bb9-71ec-4f27-a028-660560de9d68", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "\u001b[32m[etf_listing] [2023-08-18 11:44:45,274] [INFO]: =============== 开始更新ETF列表 ===============\u001b[0m\n", "\u001b[32m[etf_listing] [2023-08-18 11:44:45,635] [INFO]: 已下载至 /Users/dilu/Desktop/Software/Stock/database2/etf-listing.csv\u001b[0m\n", "\u001b[32m[etf_day_bars] [2023-08-18 11:44:45,636] [INFO]: =============== 开始更新ETF日K数据 ===============\u001b[0m\n", "\u001b[32m[base] [2023-08-18 11:44:45,642] [INFO]: 检查本地数据是否需要更新\u001b[0m\n", "140it [00:00, 252.39it/s]\n", "\u001b[32m[base] [2023-08-18 11:44:46,216] [INFO]: 添加新标的, 起始日期 2010-01-01\u001b[0m\n", "\u001b[32m[base] [2023-08-18 11:44:46,218] [INFO]: \n", "[ETFDayBarsCollector]:\n", " 791 下载任务\n", " 批大小 = 50\n", " 批数量 = 16\n", " 每批间隔(s) = 5\n", " 临时下载目录: /var/folders/w2/yctzhkrd5wbdg8p7tsf9205w0000gn/T/tmpgptedd41\n", " \u001b[0m\n", "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 16/16 [01:43<00:00, 6.47s/it]\n" ] } ], "source": [ "ETFListingCollector().run()\n", "ETFDayBarsCollector().run()" ] }, { "cell_type": "markdown", "id": "348e9c08-eea5-4ef1-8a26-536374557251", "metadata": {}, "source": [ "##### 下载股票日K\n", "\n", "* 默认起始日期为 `2016-01-01`，可传入`since_date`以设定起始日期。同样，可调低`batch_size`以防止被数据接口方限流。由于网络不稳定或接口限流，调用偶尔会失败，此时会自动重试（至多三次）。\n", "* 如果本地已下载了股票日K数据，`StockDayBarsCollector`则会先检查是否需要更新，并下载、添加最新的日K数据。" ] }, { "cell_type": "code", "execution_count": 3, "id": "2213ffbc-132c-4535-b696-20bc24048786", "metadata": { "scrolled": true }, "outputs": [], "source": [ "StockDayBarsCollector(since_date='2018-06-01').run(batch_size=35)" ] }, { "cell_type": "markdown", "id": "70683ca5-3630-4551-9f22-feddcd6547b2", "metadata": {}, "source": [] }, { "cell_type": "markdown", "id": "96e3fda7-ad9d-4d2b-be81-f0d6cd038530", "metadata": {}, "source": [ "##### 查看股票日K数据\n", "\n", "部分数据列含义如下: \n", "\n", "- market: 股票所在主板\n", "- turnover: 换手率\n", "- vol: 成交量\n", "- mkt_cap: 总市值（亿）\n", "- mkt_cap_rank: 总市值在本交易日的全市场分位。e.g., \"0.5\"即\"超过全市场50%的股票\"\n", "- company: **该交易日**的公司名称，因而可能有不同的值, e.g., ST摘帽" ] }, { "cell_type": "code", "execution_count": 2, "id": "87ba9f78-6ce3-4e3f-bf2f-a3d316abe41e", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "5042it [00:21, 236.78it/s]\n" ] }, { "data": { "text/html": [ "
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timestampcodecompanymarketopenhighlowcloseturnovervolchgpct_chgmkt_capmkt_cap_rank
code
3002682019-01-02300268佳沃股份创业板11.1711.2411.0311.091.1511291-0.13-1.1614.860.03
0006102019-01-02000610西安旅游深证主板7.477.727.457.478.45198811-0.02-0.2717.690.08
0005412019-01-02000541佛山照明深证主板5.185.235.105.130.1819642-0.05-0.9771.790.70
0023562019-01-02002356赫美集团深证主板7.287.367.197.301.0550630-0.06-0.8238.530.47
6031562019-01-02603156养元饮品上证主板41.7141.9241.5541.730.7544990.150.36314.340.95
.............................................
3003902023-08-29300390天华新能创业板26.6127.5626.4127.421.731055710.662.47229.650.87
6006152023-08-29600615丰华圆珠上证主板8.569.008.508.931.07200300.424.9416.790.02
0022592023-08-29002259ST升达深证主板3.223.243.183.230.19144050.000.0024.300.11
3004092023-08-29300409道氏技术创业板10.8411.1710.7911.131.17557460.302.7764.740.57
3002712023-08-29300271华宇软件创业板8.408.768.398.691.651323540.252.9671.220.60
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4738370 rows × 14 columns

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" ], "text/plain": [ " timestamp code company market open high low close \\\n", "code \n", "300268 2019-01-02 300268 佳沃股份 创业板 11.17 11.24 11.03 11.09 \n", "000610 2019-01-02 000610 西安旅游 深证主板 7.47 7.72 7.45 7.47 \n", "000541 2019-01-02 000541 佛山照明 深证主板 5.18 5.23 5.10 5.13 \n", "002356 2019-01-02 002356 赫美集团 深证主板 7.28 7.36 7.19 7.30 \n", "603156 2019-01-02 603156 养元饮品 上证主板 41.71 41.92 41.55 41.73 \n", "... ... ... ... ... ... ... ... ... \n", "300390 2023-08-29 300390 天华新能 创业板 26.61 27.56 26.41 27.42 \n", "600615 2023-08-29 600615 丰华圆珠 上证主板 8.56 9.00 8.50 8.93 \n", "002259 2023-08-29 002259 ST升达 深证主板 3.22 3.24 3.18 3.23 \n", "300409 2023-08-29 300409 道氏技术 创业板 10.84 11.17 10.79 11.13 \n", "300271 2023-08-29 300271 华宇软件 创业板 8.40 8.76 8.39 8.69 \n", "\n", " turnover vol chg pct_chg mkt_cap mkt_cap_rank \n", "code \n", "300268 1.15 11291 -0.13 -1.16 14.86 0.03 \n", "000610 8.45 198811 -0.02 -0.27 17.69 0.08 \n", "000541 0.18 19642 -0.05 -0.97 71.79 0.70 \n", "002356 1.05 50630 -0.06 -0.82 38.53 0.47 \n", "603156 0.75 4499 0.15 0.36 314.34 0.95 \n", "... ... ... ... ... ... ... \n", "300390 1.73 105571 0.66 2.47 229.65 0.87 \n", "600615 1.07 20030 0.42 4.94 16.79 0.02 \n", "002259 0.19 14405 0.00 0.00 24.30 0.11 \n", "300409 1.17 55746 0.30 2.77 64.74 0.57 \n", "300271 1.65 132354 0.25 2.96 71.22 0.60 \n", "\n", "[4738370 rows x 14 columns]" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df = StocksDailyBarsDepot.load()\n", "df" ] }, { "cell_type": "code", "execution_count": null, "id": "d817333a-3ad9-4855-bfaf-2a627b8fa52a", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "de518d30-aaff-4520-9110-d43d5e2c628b", "metadata": {}, "source": [ "### 实现策略\n", "\n", "实现一个基于10均和30均的金叉买进、死叉卖出的简单策略。但此处我们对短周期均线使用[指数移动平均](https://baike.baidu.com/item/%E6%8C%87%E6%95%B0%E5%B9%B3%E5%9D%87%E6%95%B0%E6%8C%87%E6%A0%87/1847442?fr=ge_ala)，这比简单移动平均更能反应近期价格变化的趋势，且只当股价在120日均线上方时才买入，不买入ST股或科创板。\n" ] }, { "cell_type": "raw", "id": "40973bbf-1a9f-4617-be6a-e03fbcbf7a78", "metadata": { "editable": true, "raw_mimetype": "text/html", "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "
\n", "注: 使用TradePy内置的指标函数可简化该策略的实现，可查阅策略实现教程\n", "
" ] }, { "cell_type": "raw", "id": "227b000e-786e-4a7a-a6c2-0f3d371a233e", "metadata": { "editable": true, "raw_mimetype": "text/html", "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "
\n", "⚠️ 回测中假定以收盘价买入其实是犯了典型的\"偷价\"错误，因为收盘价已是集合竞价后的价格，盘中不可能保证以该价位成交。因而，回测结果只是提供一个参考，再考虑滑点等因素的话，不可能完全复现实盘的表现。\n", "
" ] }, { "cell_type": "code", "execution_count": 3, "id": "560b50f1-2cba-49e5-9be6-74274ab42d90", "metadata": {}, "outputs": [], "source": [ "import talib\n", "import pandas as pd\n", "from tradepy.strategy.base import BacktestStrategy, BuyOption\n", "from tradepy.decorators import tag" ] }, { "cell_type": "code", "execution_count": 4, "id": "b637e868-521a-4edf-b909-f8aa25e3dc0d", "metadata": {}, "outputs": [], "source": [ "class MovingAverageCrossoverStrategy(BacktestStrategy):\n", "\n", " @tag(notna=True)\n", " def ma10(self, close: pd.Series) -> pd.Series:\n", " \"\"\"\n", " 这是一个技术指标计算函数\n", "\n", " - 输入参数可以为其他指标，称为\"上游指标\"\n", " - \"上游指标\"必须已在回测数据的DataFrame中，或有自己的计算函数\n", " - 您只需要关注指标的计算函数的实现，TradePy会自动推导指标的依赖关系，保证正确的计算顺序\n", " - TA-Lib集成了很多常用技术指标的计算方法，推荐使用。\n", " \"\"\"\n", " return talib.EMA(close, 10)\n", "\n", " # notna=True：意为该指标值不能为空，因而回测将从第120日开始进行，请注意预留足够的回测天数\n", " @tag(notna=True)\n", " def ma120(self, close):\n", " return talib.SMA(close, 120)\n", "\n", " @tag(notna=True)\n", " def ma30(self, close):\n", " return talib.SMA(close, 30)\n", "\n", " @tag(notna=True)\n", " def ma10_ref1(self, ma10):\n", " return ma10.shift(1)\n", "\n", " @tag(notna=True)\n", " def ma30_ref1(self, ma30):\n", " return ma30.shift(1)\n", " \n", " def should_buy(self,\n", " company,\n", " ma120: float, ma10: float, ma30: float,\n", " ma10_ref1: float, ma30_ref1: float,\n", " close: float) -> BuyOption | None:\n", " \"\"\"\n", " 买入信号（必须实现）\n", " \n", " - 回测数据DataFrame中的列都可作为输入参数\n", " - 如果触发买入，则返回 买入价 以及 权重值\n", " - 制定回测配置时，如果设置了\"每日最大开仓数量\"或“最低开仓金额”，则有可能触发买入的股票数量大于可买入数量。\n", " 此时，可通过给予不同的权重值，以优先选中预期收益最大的标的。如果希望随机选择标的，可一律返回权重值\"1\"\n", " \"\"\"\n", " if \"ST\" not in company:\n", " if (ma10 > ma120) and (ma10_ref1 < ma30_ref1) and (ma10 > ma30):\n", " return close, 1\n", "\n", " def should_sell(self, ma10, ma30, ma10_ref1, ma30_ref1):\n", " \"\"\"\n", " 尾盘平仓信号（可选实现）\n", "\n", " - 除了使用止盈/止损点位平仓，还可根据一定的策略逻辑，判断是否应该在尾盘时提前平仓\n", " - 返回True / False\n", " \"\"\"\n", " return (ma10_ref1 > ma30_ref1) and (ma10 < ma30)\n", "\n", " def pre_process(self, df: pd.DataFrame) -> pd.DataFrame:\n", " \"\"\"\n", " 数据预处理 （可选实现）\n", "\n", " - 输入为原始的回测数据DataFrame\n", " - 此处可执行任意逻辑，如过滤掉无法交易的板块、加载外部数据（如大盘指数）并添加到DataFrame等等\n", " \"\"\"\n", " return df.query('market != \"科创板\"').copy()\n" ] }, { "cell_type": "code", "execution_count": null, "id": "6eb5dbbc-ca1c-49c7-b84c-74fc7c2ec716", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "e773f3f9-766b-453d-bbe5-bb8bddfed7ca", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "### 运行回测" ] }, { "cell_type": "raw", "id": "f2066f51-939c-4f41-992e-4da2ac390bbd", "metadata": { "editable": true, "raw_mimetype": "text/html", "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "
\n", "⚠️ 使用日K回测时，如果日内价格运行区间同时包含止盈和止损价，此时无法判断哪个先发生，如果策略指定的止损止盈幅度较小，这个问题的影响可能会更加突出！\n", "默认配置下，TradePy采用偏保守策略，此时会一律止损，因而回测结果应该接近策略实际表现的下限区间。您也可以提供不同的BacktestConf.sl_tf_order值来决定先止损、先止盈还是随机，并观察不同设定下的收益曲线变化。使用分钟K线做回测可以基本解决此问题（但回测用时会大大延长），可查阅使用分时数据教程\n", "
" ] }, { "cell_type": "code", "execution_count": 5, "id": "b0bc8efd-9dcf-42c5-80f3-2fc31ec12c51", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "\u001b[32m[base] [2023-09-20 09:05:12,511] [INFO]: >>> 获取待计算因子\u001b[0m\n", "\u001b[32m[base] [2023-09-20 09:05:12,512] [INFO]: - 待计算: [ma30, ma10, ma120, ma30_ref1, ma10_ref1]\u001b[0m\n", "\u001b[32m[base] [2023-09-20 09:05:12,513] [INFO]: >>> 计算每支个股的后复权价格以及技术因子\u001b[0m\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 5042/5042 [01:00<00:00, 83.20it/s]\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\u001b[32m[backtester] [2023-09-20 09:06:16,542] [INFO]: >>> 重建索引 [timestamp, code]\u001b[0m\n", "\u001b[32m[backtester] [2023-09-20 09:06:19,539] [INFO]: >>> 交易中 ...\u001b[0m\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1013/1013 [00:21<00:00, 48.01it/s]\n" ] } ], "source": [ "from tradepy.core.conf import BacktestConf, StrategyConf, SlippageConf\n", "\n", "conf = BacktestConf(\n", " cash_amount=1e6, # 初始资金\n", " broker_commission_rate=0.01, # 券商费率，此处为万一\n", " min_broker_commission_fee=0, # 券商最低佣金，此处为免五\n", " use_minute_k=False, # 是否使用分时K线做日内买卖点判断, 需要下载分钟K线\n", " sl_tf_orde='stop loss first', # 日内价格同时达到止损/止盈价时，先止损还是先止盈\n", " strategy=StrategyConf(\n", " stop_loss=4.5, # 静态止损点位 %\n", " take_profit=5, # 静态止盈点位 %\n", " take_profit_slip=SlippageConf(\n", " method='max_jump', # 最大滑点价位\n", " params=1 # 一跳\n", " ),\n", " stop_loss_slip=SlippageConf(\n", " method='max_pct', # 最大滑点百分比\n", " params=0.1 # 0.1%\n", " ),\n", " max_position_opens=10, # 每日最大可开仓数量\n", " max_position_size=0.25, # 个股最仓位\n", " min_trade_amount=8000, # 开仓最低买入额\n", " )\n", ")\n", "\n", "res, trade_book = MovingAverageCrossoverStrategy.backtest(df, conf)\n", "# res, trade_book = MovingAverageCrossoverStrategy.backtest(res, conf) # 首次计算后，可直接将带指标的回测数据作为输入" ] }, { "cell_type": "code", "execution_count": null, "id": "7c9ebab7-9142-430f-945f-50bb0342d6c5", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "079874c8-3dcf-4361-8c58-e4735b0af375", "metadata": {}, "source": [ "- `backtest`方法返回添加了技术指标后的回测K线数据，以及`TradeBook`实例，记录了交易过程以及每日资产金额变化，该实例也可用于生成结果分析报告。\n", "- 添加技术指标后的数据，可再作为`backtest`的输入数据执行多次回测，此时将不再重新计算指标" ] }, { "cell_type": "code", "execution_count": null, "id": "b36cb9e6-4f8d-411a-8241-24250a59ba02", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 6, "id": "570eab25-c9ca-445a-80d7-7e1547af8ecd", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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actionidcodevolpricetotal_valuechgpct_chgtotal_return
timestamp
2019-07-02开仓000985-7e2f000985540025.318006136717.2337450.00.00.0
2019-07-02开仓603538-1c91603538360027.17312197823.2344270.00.00.0
2019-07-02开仓600136-49a5600136350027.89934797647.7154700.00.00.0
2019-07-02开仓002099-3cc7002099180055.31979299575.6249840.00.00.0
2019-07-02开仓600728-dc57600728700131.04271991729.9030440.00.00.0
\n", "
" ], "text/plain": [ " action id code vol price total_value chg \\\n", "timestamp \n", "2019-07-02 开仓 000985-7e2f 000985 5400 25.318006 136717.233745 0.0 \n", "2019-07-02 开仓 603538-1c91 603538 3600 27.173121 97823.234427 0.0 \n", "2019-07-02 开仓 600136-49a5 600136 3500 27.899347 97647.715470 0.0 \n", "2019-07-02 开仓 002099-3cc7 002099 1800 55.319792 99575.624984 0.0 \n", "2019-07-02 开仓 600728-dc57 600728 700 131.042719 91729.903044 0.0 \n", "\n", " pct_chg total_return \n", "timestamp \n", "2019-07-02 0.0 0.0 \n", "2019-07-02 0.0 0.0 \n", "2019-07-02 0.0 0.0 \n", "2019-07-02 0.0 0.0 \n", "2019-07-02 0.0 0.0 " ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "trade_book.trade_logs_df[:5]" ] }, { "cell_type": "code", "execution_count": 7, "id": "f1b78f0d-9bc6-44a5-8558-5d1a77d63595", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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actionidcodevolpricetotal_valuechgpct_chgtotal_return
timestamp
2019-07-02开仓000985-7e2f000985540025.318006136717.2337450.00.00.0
2019-07-02开仓603538-1c91603538360027.17312197823.2344270.00.00.0
2019-07-02开仓600136-49a5600136350027.89934797647.7154700.00.00.0
2019-07-02开仓002099-3cc7002099180055.31979299575.6249840.00.00.0
2019-07-02开仓600728-dc57600728700131.04271991729.9030440.00.00.0
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" ], "text/plain": [ " action id code vol price total_value chg \\\n", "timestamp \n", "2019-07-02 开仓 000985-7e2f 000985 5400 25.318006 136717.233745 0.0 \n", "2019-07-02 开仓 603538-1c91 603538 3600 27.173121 97823.234427 0.0 \n", "2019-07-02 开仓 600136-49a5 600136 3500 27.899347 97647.715470 0.0 \n", "2019-07-02 开仓 002099-3cc7 002099 1800 55.319792 99575.624984 0.0 \n", "2019-07-02 开仓 600728-dc57 600728 700 131.042719 91729.903044 0.0 \n", "\n", " pct_chg total_return \n", "timestamp \n", "2019-07-02 0.0 0.0 \n", "2019-07-02 0.0 0.0 \n", "2019-07-02 0.0 0.0 \n", "2019-07-02 0.0 0.0 \n", "2019-07-02 0.0 0.0 " ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "trade_book.trade_logs_df[:5]" ] }, { "cell_type": "code", "execution_count": 8, "id": "1f807dab-0afd-4926-b28b-84661bb24acd", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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frozen_cash_amountmarket_valuefree_cash_amountcapitalpct_chg
timestamp
2019-07-020999772.62127.40999900.020.000000
2019-07-030994719.1771.22994790.39-0.005110
2019-07-040993782.65247.79994030.44-0.000764
2019-07-050990946.48842.40991788.88-0.002255
2019-07-080965505.871453.10966958.97-0.025035
\n", "
" ], "text/plain": [ " frozen_cash_amount market_value free_cash_amount capital \\\n", "timestamp \n", "2019-07-02 0 999772.62 127.40 999900.02 \n", "2019-07-03 0 994719.17 71.22 994790.39 \n", "2019-07-04 0 993782.65 247.79 994030.44 \n", "2019-07-05 0 990946.48 842.40 991788.88 \n", "2019-07-08 0 965505.87 1453.10 966958.97 \n", "\n", " pct_chg \n", "timestamp \n", "2019-07-02 0.000000 \n", "2019-07-03 -0.005110 \n", "2019-07-04 -0.000764 \n", "2019-07-05 -0.002255 \n", "2019-07-08 -0.025035 " ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "trade_book.cap_logs_df[:5]" ] }, { "cell_type": "code", "execution_count": null, "id": "75f697b9-af60-4b1b-9ac9-fdcb75f5767d", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "e5b77157-69aa-4950-b62c-e5cd71c30181", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "### 分析结果\n", "\n", "- 与上证指数对比，可直观地看到该策略获得了超额收益（4年半间大约70%回报），但是20年年中开始表现不甚理想，尤其到21年10月之前，经历了较长的回撤期。\n", "- 使用`BasicEvaluator.basic_report`可查看主要指标。\n", "- 使用`BasicEvaluator.html_report`可下载详细的结果报告，该报告由[quantstats](https://github.com/ranaroussi/quantstats)生成，详情请查阅其文档。\n" ] }, { "cell_type": "code", "execution_count": 9, "id": "030ddfad-5a61-453b-b2e5-5b1f56e566c2", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "outputs": [], "source": [ "from tradepy.backtest import BasicEvaluator\n", "from tradepy.analysis.plots import plot_equity_curve" ] }, { "cell_type": "code", "execution_count": 10, "id": "ce604a46-404f-45c7-84e6-8d3e3cb2e00b", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "8it [00:00, 138.17it/s]\n" ] }, { "data": { "text/html": [ " \n", " " ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "close": [ 3043.943, 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_equity_curve(trade_book)" ] }, { "cell_type": "code", "execution_count": 11, "id": "3ae931f1-a3c5-459d-8c08-e233ff0fb27a", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "===========\n", "开仓 = 7718\n", "止损 = 3395\n", "止盈 = 3639\n", "提前平仓 = 657\n", "胜率 47.42%\n", "最大回撤 = -20.35%\n", "期末资金 = 165.35%\n", "平均开仓收益: 0.11% (标准差: 3.43%)\n", "夏普比率: 0.78\n", "===========\n" ] } ], "source": [ "e = BasicEvaluator(trade_book)\n", "e.basic_report()" ] }, { "cell_type": "code", "execution_count": 1, "id": "d9d85c95-5fc1-4c54-ab3d-7f72b713d2b5", "metadata": {}, "outputs": [], "source": [ "e.html_report()" ] }, { "cell_type": "code", "execution_count": null, "id": "f969d90f-7505-4a87-81ca-45dce0c641ac", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.4" } }, "nbformat": 4, "nbformat_minor": 5 }