{ "cells": [ { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "#%%\n", "from vnpy.app.cta_strategy.backtesting import BacktestingEngine\n", "from vnpy.app.cta_strategy.strategies.turtle_signal_strategy import (\n", " TurtleSignalStrategy,\n", ")\n", "from datetime import datetime" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "#%%\n", "engine = BacktestingEngine()\n", "engine.set_parameters(\n", " vt_symbol=\"IF88.CFFEX\",\n", " interval=\"1m\",\n", " start=datetime(2013, 1, 1),\n", " end=datetime(2015, 3, 30),\n", " rate=0,\n", " slippage=0,\n", " size=300,\n", " pricetick=0.2,\n", " capital=1_000_000,\n", ")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "scrolled": false }, "outputs": [], "source": [ "#%%\n", "engine.add_strategy(TurtleSignalStrategy, {})\n", "engine.load_data()\n", "engine.run_backtesting()\n", "df = engine.calculate_result()\n", "engine.calculate_statistics()\n", "engine.show_chart()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.7.1" } }, "nbformat": 4, "nbformat_minor": 2 }