vnpy/tests/backtesting/.ipynb_checkpoints/turtle-checkpoint.ipynb

{
 "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
}