[Mod]完成海龟回测引擎的统计和绘图功能
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vn.py
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@ -2,10 +2,12 @@
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from csv import DictReader
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from datetime import datetime
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from pymongo import MongoClient
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from collections import OrderedDict, defaultdict
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import numpy as np
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import matplotlib.pyplot as plt
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from pymongo import MongoClient
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from vnpy.trader.vtObject import VtBarData
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from vnpy.trader.vtConstant import DIRECTION_LONG, DIRECTION_SHORT
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@ -25,7 +27,7 @@ SLIPPAGE_DICT = {}
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########################################################################
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class BacktestingEngine(object):
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""""""
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"""组合类CTA策略回测引擎"""
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#----------------------------------------------------------------------
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def __init__(self):
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@ -40,6 +42,7 @@ class BacktestingEngine(object):
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self.fixedCommissionDict = {} # 固定手续费字典
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self.slippageDict = {} # 滑点成本字典
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self.portfolioValue = 0
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self.startDt = None
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self.endDt = None
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self.currentDt = None
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@ -52,13 +55,15 @@ class BacktestingEngine(object):
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#----------------------------------------------------------------------
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def setPeriod(self, startDt, endDt):
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""""""
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"""设置回测周期"""
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self.startDt = startDt
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self.endDt = endDt
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#----------------------------------------------------------------------
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def initPortfolio(self, filename, portfolioValue=10000000):
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""""""
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"""初始化投资组合"""
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self.portfolioValue = portfolioValue
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with open(filename) as f:
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r = DictReader(f)
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for d in r:
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@ -73,12 +78,12 @@ class BacktestingEngine(object):
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self.portfolio = TurtlePortfolio(self)
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self.portfolio.init(portfolioValue, self.vtSymbolList, SIZE_DICT)
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self.writeLog(u'投资组合的合约代码%s' %(self.vtSymbolList))
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self.writeLog(u'投资组合的初始价值%s' %(portfolioValue))
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self.output(u'投资组合的合约代码%s' %(self.vtSymbolList))
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self.output(u'投资组合的初始价值%s' %(portfolioValue))
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#----------------------------------------------------------------------
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def loadData(self):
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""""""
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"""加载数据"""
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mc = MongoClient()
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db = mc[DAILY_DB_NAME]
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@ -96,14 +101,14 @@ class BacktestingEngine(object):
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barDict = self.dataDict.setdefault(bar.datetime, OrderedDict())
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barDict[bar.vtSymbol] = bar
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self.writeLog(u'%s数据加载完成，总数据量：%s' %(vtSymbol, cursor.count()))
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self.output(u'%s数据加载完成，总数据量：%s' %(vtSymbol, cursor.count()))
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self.writeLog(u'全部数据加载完成')
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self.output(u'全部数据加载完成')
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#----------------------------------------------------------------------
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def runBacktesting(self):
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""""""
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self.writeLog(u'开始回放K线数据')
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"""运行回测"""
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self.output(u'开始回放K线数据')
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for dt, barDict in self.dataDict.items():
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self.currentDt = dt
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@ -121,21 +126,172 @@ class BacktestingEngine(object):
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self.portfolio.onBar(bar)
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self.result.updateBar(bar)
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self.writeLog(u'K线数据回放结束')
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self.output(u'K线数据回放结束')
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#----------------------------------------------------------------------
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def calculateResult(self):
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""""""
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self.writeLog(u'开始统计回测结果')
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def calculateResult(self, annualDays=240):
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"""计算结果"""
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self.output(u'开始统计回测结果')
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for result in self.resultList:
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result.calculatePnl()
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self.writeLog(u'回测结果统计结束')
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resultList = self.resultList
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dateList = [result.date for result in resultList]
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startDate = dateList[0]
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endDate = dateList[-1]
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totalDays = len(dateList)
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profitDays = 0
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lossDays = 0
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endBalance = self.portfolioValue
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highlevel = self.portfolioValue
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totalNetPnl = 0
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totalCommission = 0
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totalSlippage = 0
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totalTradeCount = 0
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netPnlList = []
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balanceList = []
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highlevelList = []
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drawdownList = []
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ddPercentList = []
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returnList = []
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for result in resultList:
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if result.netPnl > 0:
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profitDays += 1
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elif result.netPnl < 0:
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lossDays += 1
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netPnlList.append(result.netPnl)
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prevBalance = endBalance
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endBalance += result.netPnl
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balanceList.append(endBalance)
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returnList.append(endBalance/prevBalance - 1)
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highlevel = max(highlevel, endBalance)
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highlevelList.append(highlevel)
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drawdown = endBalance - highlevel
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drawdownList.append(drawdown)
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ddPercentList.append(drawdown/highlevel*100)
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totalCommission += result.commission
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totalSlippage += result.slippage
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totalTradeCount += result.tradeCount
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totalNetPnl += result.netPnl
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maxDrawdown = min(drawdownList)
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maxDdPercent = min(ddPercentList)
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totalReturn = (endBalance / self.portfolioValue - 1) * 100
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dailyReturn = np.mean(returnList) * 100
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annualizedReturn = dailyReturn * annualDays
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returnStd = np.std(returnList) * 100
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if returnStd:
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sharpeRatio = dailyReturn / returnStd * np.sqrt(annualDays)
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else:
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sharpeRatio = 0
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# 返回结果
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result = {
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'startDate': startDate,
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'endDate': endDate,
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'totalDays': totalDays,
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'profitDays': profitDays,
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'lossDays': lossDays,
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'endBalance': endBalance,
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'maxDrawdown': maxDrawdown,
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'maxDdPercent': maxDdPercent,
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'totalNetPnl': totalNetPnl,
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'dailyNetPnl': totalNetPnl/totalDays,
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'totalCommission': totalCommission,
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'dailyCommission': totalCommission/totalDays,
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'totalSlippage': totalSlippage,
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'dailySlippage': totalSlippage/totalDays,
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'totalTradeCount': totalTradeCount,
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'dailyTradeCount': totalTradeCount/totalDays,
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'totalReturn': totalReturn,
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'annualizedReturn': annualizedReturn,
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'dailyReturn': dailyReturn,
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'returnStd': returnStd,
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'sharpeRatio': sharpeRatio
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}
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timeseries = {
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'balance': balanceList,
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'return': returnList,
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'highLevel': highlevel,
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'drawdown': drawdownList,
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'ddPercent': ddPercentList,
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'date': dateList,
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'netPnl': netPnlList
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}
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return timeseries, result
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#----------------------------------------------------------------------
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def showResult(self):
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"""显示回测结果"""
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timeseries, result = self.calculateResult()
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# 输出统计结果
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self.output('-' * 30)
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self.output(u'首个交易日：\t%s' % result['startDate'])
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self.output(u'最后交易日：\t%s' % result['endDate'])
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self.output(u'总交易日：\t%s' % result['totalDays'])
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self.output(u'盈利交易日\t%s' % result['profitDays'])
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self.output(u'亏损交易日：\t%s' % result['lossDays'])
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self.output(u'起始资金：\t%s' % self.portfolioValue)
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self.output(u'结束资金：\t%s' % formatNumber(result['endBalance']))
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self.output(u'总收益率：\t%s%%' % formatNumber(result['totalReturn']))
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self.output(u'年化收益：\t%s%%' % formatNumber(result['annualizedReturn']))
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self.output(u'总盈亏：\t%s' % formatNumber(result['totalNetPnl']))
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self.output(u'最大回撤: \t%s' % formatNumber(result['maxDrawdown']))
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self.output(u'百分比最大回撤: %s%%' % formatNumber(result['maxDdPercent']))
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self.output(u'总手续费：\t%s' % formatNumber(result['totalCommission']))
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self.output(u'总滑点：\t%s' % formatNumber(result['totalSlippage']))
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self.output(u'总成交笔数：\t%s' % formatNumber(result['totalTradeCount']))
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self.output(u'日均盈亏：\t%s' % formatNumber(result['dailyNetPnl']))
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self.output(u'日均手续费：\t%s' % formatNumber(result['dailyCommission']))
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self.output(u'日均滑点：\t%s' % formatNumber(result['dailySlippage']))
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self.output(u'日均成交笔数：\t%s' % formatNumber(result['dailyTradeCount']))
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self.output(u'日均收益率：\t%s%%' % formatNumber(result['dailyReturn']))
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self.output(u'收益标准差：\t%s%%' % formatNumber(result['returnStd']))
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self.output(u'Sharpe Ratio：\t%s' % formatNumber(result['sharpeRatio']))
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# 绘图
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fig = plt.figure(figsize=(10, 16))
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pBalance = plt.subplot(4, 1, 1)
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pBalance.set_title('Balance')
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plt.plot(timeseries['date'], timeseries['balance'])
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pDrawdown = plt.subplot(4, 1, 2)
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pDrawdown.set_title('Drawdown')
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pDrawdown.fill_between(range(len(timeseries['drawdown'])), timeseries['drawdown'])
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pPnl = plt.subplot(4, 1, 3)
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pPnl.set_title('Daily Pnl')
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plt.bar(range(len(timeseries['drawdown'])), timeseries['netPnl'])
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pKDE = plt.subplot(4, 1, 4)
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pKDE.set_title('Daily Pnl Distribution')
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plt.hist(timeseries['netPnl'], bins=50)
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plt.show()
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#----------------------------------------------------------------------
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def sendOrder(self, vtSymbol, direction, offset, price, volume):
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""""""
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"""记录交易数据（由portfolio调用）"""
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# 对价格四舍五入
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priceTick = PRICETICK_DICT[vtSymbol]
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price = int(round(price/priceTick, 0)) * priceTick
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@ -148,9 +304,23 @@ class BacktestingEngine(object):
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self.result.updateTrade(trade)
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#----------------------------------------------------------------------
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def writeLog(self, content):
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""""""
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print '%s:\t%s' %(datetime.now().strftime('%H:%M:%S.%f'), content)
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def output(self, content):
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"""输出信息"""
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print content
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#----------------------------------------------------------------------
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def getTradeData(self, vtSymbol=''):
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"""获取交易数据"""
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tradeList = []
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for l in self.tradeDict.values():
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for trade in l:
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if not vtSymbol:
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tradeList.append(trade)
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elif trade.vtSymbol == vtSymbol:
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tradeList.append(trade)
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return tradeList
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########################################################################
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@ -182,15 +352,20 @@ class DailyResult(object):
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self.tradeDict = defaultdict(list) # 成交字典
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self.posDict = {} # 持仓字典（开盘时）
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self.tradingPnl = 0
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self.holdingPnl = 0
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self.totalPnl = 0
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self.tradingPnl = 0 # 交易盈亏
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self.holdingPnl = 0 # 持仓盈亏
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self.totalPnl = 0 # 总盈亏
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self.commission = 0 # 佣金
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self.slippage = 0 # 滑点
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self.netPnl = 0 # 净盈亏
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self.tradeCount = 0 # 成交笔数
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#----------------------------------------------------------------------
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def updateTrade(self, trade):
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"""更新交易"""
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l = self.tradeDict[trade.vtSymbol]
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l.append(trade)
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self.tradeCount += 1
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#----------------------------------------------------------------------
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def updatePos(self, d):
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@ -227,9 +402,10 @@ class DailyResult(object):
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commissionCost = (trade.volume * fixedCommission +
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trade.volume * trade.price * variableCommission)
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slippageCost = trade.volume * slippage
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pnl = (close - trade.price) * trade.volume * side * size
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pnl -= (commissionCost + slippageCost)
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self.commission += commissionCost
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self.slippage += slippageCost
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self.tradingPnl += pnl
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#----------------------------------------------------------------------
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@ -249,4 +425,11 @@ class DailyResult(object):
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self.calculateHoldingPnl()
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self.calculateTradingPnl()
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self.totalPnl = self.holdingPnl + self.tradingPnl
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self.netPnl = self.totalPnl - self.commission - self.slippage
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#----------------------------------------------------------------------
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def formatNumber(n):
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"""格式化数字到字符串"""
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rn = round(n, 2) # 保留两位小数
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return format(rn, ',') # 加上千分符
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@ -394,6 +394,5 @@ class TurtlePortfolio(object):
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self.totalShort += unit
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# 向回测引擎中发单记录
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#self.engine.sendOrder(vtSymbol, direction, offset, price, volume)
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self.engine.sendOrder(vtSymbol, direction, offset, price, volume*multiplier)
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@ -1348,6 +1348,7 @@ class HistoryDataServer(RpcServer):
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print(u'从数据库加载：%s %s %s %s' %(dbName, symbol, start, end))
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return history
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#----------------------------------------------------------------------
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def runHistoryDataServer():
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""""""
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@ -1361,6 +1362,7 @@ def runHistoryDataServer():
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hds.stop()
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raw_input()
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#----------------------------------------------------------------------
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def formatNumber(n):
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"""格式化数字到字符串"""
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