{
"cells": [
{
"cell_type": "markdown",
"id": "aeb4f0a4",
"metadata": {},
"source": [
"# Weight Backtest 快速入门\n",
"---\n",
"\n",
"核心功能：\n",
"\n",
"1. 使用 `backtest` 函数执行回测，并查看结果\n",
"2. 使用 `plotting` 模块查看回测结果相关图表\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "11904623",
"metadata": {},
"outputs": [],
"source": [
"import wbt"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "eeda544a",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>dt</th>\n",
" <th>symbol</th>\n",
" <th>weight</th>\n",
" <th>price</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>2018-03-26 09:01:00</td>\n",
" <td>SEsc9001</td>\n",
" <td>0.0</td>\n",
" <td>442.9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2018-03-26 09:02:00</td>\n",
" <td>SEsc9001</td>\n",
" <td>0.0</td>\n",
" <td>441.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2018-03-26 09:03:00</td>\n",
" <td>SEsc9001</td>\n",
" <td>0.0</td>\n",
" <td>440.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>2018-03-26 09:04:00</td>\n",
" <td>SEsc9001</td>\n",
" <td>0.0</td>\n",
" <td>439.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>2018-03-26 09:05:00</td>\n",
" <td>SEsc9001</td>\n",
" <td>0.0</td>\n",
" <td>440.7</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" dt symbol weight price\n",
"0 2018-03-26 09:01:00 SEsc9001 0.0 442.9\n",
"1 2018-03-26 09:02:00 SEsc9001 0.0 441.2\n",
"2 2018-03-26 09:03:00 SEsc9001 0.0 440.4\n",
"3 2018-03-26 09:04:00 SEsc9001 0.0 439.5\n",
"4 2018-03-26 09:05:00 SEsc9001 0.0 440.7"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# df = wbt.mock_weights(freq=\"30分钟\")\n",
"import pandas as pd\n",
"\n",
"df = pd.read_feather(r\"C:\\Users\\dell\\Downloads\\weight_example.feather\")\n",
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "9f922872",
"metadata": {},
"outputs": [],
"source": [
"wb = wbt.backtest(df)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "cec892b0",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'绝对收益': 1.034,\n",
" '年化收益': 0.1385,\n",
" '夏普比率': 1.3964,\n",
" '卡玛比率': 0.8701,\n",
" '新高占比': 0.084,\n",
" '单笔盈亏比': 2.1722,\n",
" '单笔收益': 25.59,\n",
" '日胜率': 0.5228,\n",
" '周胜率': 0.5727,\n",
" '月胜率': 0.6456,\n",
" '季胜率': 0.7407,\n",
" '年胜率': 1.0,\n",
" '最大回撤': 0.1592,\n",
" '年化波动率': 0.0992,\n",
" '下行波动率': 0.0629,\n",
" '新高间隔': 209.0,\n",
" '交易次数': 276334,\n",
" '年化交易次数': 37001.15,\n",
" '持仓K线数': 972.95,\n",
" '交易胜率': 0.3716,\n",
" '多头占比': 0.5028,\n",
" '空头占比': 0.4611,\n",
" '品种数量': 9,\n",
" '开始日期': '2017-01-03',\n",
" '结束日期': '2023-07-31'}"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"wb.stats"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "030cb912",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'绝对收益': -0.4861,\n",
" '年化收益': -0.3347,\n",
" '夏普比率': -3.2002,\n",
" '卡玛比率': -0.6924,\n",
" '新高占比': 0.0027,\n",
" '单笔盈亏比': 1.0135,\n",
" '单笔收益': 0.21,\n",
" '日胜率': 0.4071,\n",
" '周胜率': 0.3208,\n",
" '月胜率': 0.0,\n",
" '季胜率': 0.0,\n",
" '年胜率': 0.0,\n",
" '最大回撤': 0.4834,\n",
" '年化波动率': 0.1046,\n",
" '下行波动率': 0.0671,\n",
" '新高间隔': 0.0,\n",
" '交易次数': 642859,\n",
" '年化交易次数': 442624.23,\n",
" '持仓K线数': 2.4,\n",
" '交易胜率': 0.4983}"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"wb.segment_stats(sdt=\"2020-01-01\", edt=\"2020-12-31\", kind=\"多空\")"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "130d5f03",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'绝对收益': -12.3992,\n",
" '年化收益': -0.5702,\n",
" '夏普比率': -3.1444,\n",
" '卡玛比率': -0.0459,\n",
" '新高占比': 0.0004,\n",
" '日胜率': 0.4188,\n",
" '周胜率': 0.2997,\n",
" '月胜率': 0.1602,\n",
" '季胜率': 0.0328,\n",
" '年胜率': 0.0,\n",
" '最大回撤': 12.4099,\n",
" '年化波动率': 0.1813,\n",
" '下行波动率': 0.1169,\n",
" '新高间隔': 1.0}"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"wb.long_alpha_stats"
]
},
{
"cell_type": "markdown",
"id": "02488db9",
"metadata": {},
"source": [
"## 绘图示例\n",
"\n",
"使用 `wbt.plotting` 模块可视化回测结果。"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "vyq9b1vd8ei",
"metadata": {},
"outputs": [],
"source": [
"from wbt.plotting import (\n",
" plot_backtest_overview,\n",
" plot_colored_table,\n",
" plot_cumulative_returns,\n",
" plot_daily_return_dist,\n",
" plot_drawdown,\n",
" plot_long_short_comparison,\n",
" plot_monthly_heatmap,\n",
" plot_pairs_analysis,\n",
" plot_symbol_returns,\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "uj0wv49dyhq",
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
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"ticks": "",
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]
},
{
"cell_type": "code",
"execution_count": null,
"id": "qg1zln8tjjd",
"metadata": {},
"outputs": [],
"source": [
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"plot_drawdown(wb.daily_return, col=\"total\")"
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},
{
"cell_type": "code",
"execution_count": null,
"id": "9013n207wmq",
"metadata": {},
"outputs": [],
"source": [
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"plot_daily_return_dist(wb.daily_return, col=\"total\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "fcwauyvkbeh",
"metadata": {},
"outputs": [],
"source": [
"# 月度收益热力图\n",
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]
},
{
"cell_type": "code",
"execution_count": null,
"id": "awz5ejkohwk",
"metadata": {},
"outputs": [],
"source": [
"# 品种收益分布\n",
"plot_symbol_returns(wb.dailys)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "7s4joww374i",
"metadata": {},
"outputs": [],
"source": [
"# 交易分析\n",
"plot_pairs_analysis(wb.pairs)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "s4a9j694tsq",
"metadata": {},
"outputs": [],
"source": [
"# 回测概览（2x2 子图：回撤+累计收益、日收益分布、月度热力图）\n",
"plot_backtest_overview(wb.daily_return)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "0ey61iditsul",
"metadata": {},
"outputs": [],
"source": [
"# 绩效指标表格（红涨绿跌）\n",
"plot_colored_table(wb.stats)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "cmq7k0wduoh",
"metadata": {},
"outputs": [],
"source": [
"# 多空对比（累计收益曲线 + 关键指标对比表）\n",
"plot_long_short_comparison(wb.daily_return, wb.stats, wb.long_stats, wb.short_stats)"
]
},
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"cell_type": "code",
"execution_count": null,
"id": "bfbaf336",
"metadata": {},
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