1. 修复CTA回测功能里TICK回测的撮合bug(之前偷懒忘记了)
2. 行情记录引擎增加单独的数据插入线程和队列,用于解决事件引擎线程阻塞的问题
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@ -279,13 +279,15 @@ class BacktestingEngine(object):
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"""基于最新数据撮合限价单"""
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# 先确定会撮合成交的价格
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if self.mode == self.BAR_MODE:
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buyCrossPrice = self.bar.low # 若买入方向限价单价格高于该价格,则会成交
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sellCrossPrice = self.bar.high # 若卖出方向限价单价格低于该价格,则会成交
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bestCrossPrice = self.bar.open # 在当前时间点前发出的委托可能的最优成交价
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buyCrossPrice = self.bar.low # 若买入方向限价单价格高于该价格,则会成交
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sellCrossPrice = self.bar.high # 若卖出方向限价单价格低于该价格,则会成交
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buyBestCrossPrice = self.bar.open # 在当前时间点前发出的买入委托可能的最优成交价
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sellBestCrossPrice = self.bar.open # 在当前时间点前发出的卖出委托可能的最优成交价
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else:
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buyCrossPrice = self.tick.lastPrice
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sellCrossPrice = self.tick.lastPrice
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bestCrossPrice = self.tick.lastPrice
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buyCrossPrice = self.tick.askPrice
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sellCrossPrice = self.tick.bidPrice
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buyBestCrossPrice = self.tick.askPrice
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sellBestCrossPrice = self.tick.bidPrice
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# 遍历限价单字典中的所有限价单
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for orderID, order in self.workingLimitOrderDict.items():
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@ -312,10 +314,10 @@ class BacktestingEngine(object):
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# 2. 假设在上一根K线结束(也是当前K线开始)的时刻,策略发出的委托为限价105
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# 3. 则在实际中的成交价会是100而不是105,因为委托发出时市场的最优价格是100
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if buyCross:
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trade.price = min(order.price, bestCrossPrice)
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trade.price = min(order.price, buyBestCrossPrice)
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self.strategy.pos += order.totalVolume
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else:
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trade.price = max(order.price, bestCrossPrice)
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trade.price = max(order.price, sellBestCrossPrice)
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self.strategy.pos -= order.totalVolume
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trade.volume = order.totalVolume
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@ -3,7 +3,7 @@
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"tick":
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[
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["IF1605", "SGIT"],
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["m1609", "XSPEED"],
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["IF1606", "SGIT"],
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["IH1606", "SGIT"],
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["IH1606", "SGIT"],
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@ -11,6 +11,8 @@ import os
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import copy
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from collections import OrderedDict
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from datetime import datetime, timedelta
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from Queue import Queue
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from threading import Thread
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from eventEngine import *
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from vtGateway import VtSubscribeReq, VtLogData
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@ -43,6 +45,11 @@ class DrEngine(object):
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# K线对象字典
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self.barDict = {}
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# 负责执行数据库插入的单独线程相关
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self.active = False # 工作状态
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self.queue = Queue() # 队列
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self.thread = Thread(target=self.run) # 线程
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# 载入设置,订阅行情
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self.loadSetting()
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@ -111,9 +118,12 @@ class DrEngine(object):
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# 注意这里的vtSymbol对于IB和LTS接口,应该后缀.交易所
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for activeSymbol, vtSymbol in d.items():
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self.activeSymbolDict[vtSymbol] = activeSymbol
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# 启动数据插入线程
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self.start()
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# 注册事件监听
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self.registerEvent()
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self.registerEvent()
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#----------------------------------------------------------------------
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def procecssTickEvent(self, event):
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@ -187,7 +197,29 @@ class DrEngine(object):
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#----------------------------------------------------------------------
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def insertData(self, dbName, collectionName, data):
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"""插入数据到数据库(这里的data可以是CtaTickData或者CtaBarData)"""
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self.mainEngine.dbInsert(dbName, collectionName, data.__dict__)
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self.queue.put((dbName, collectionName, data.__dict__))
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#----------------------------------------------------------------------
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def run(self):
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"""运行插入线程"""
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while self.active:
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try:
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dbName, collectionName, d = self.queue.get(block=True, timeout=1)
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self.mainEngine.dbInsert(dbName, collectionName, d)
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except Empty:
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pass
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#----------------------------------------------------------------------
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def start(self):
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"""启动"""
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self.active = True
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self.thread.start()
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#----------------------------------------------------------------------
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def stop(self):
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"""退出"""
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if self.active:
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self.active = False
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self.thread.join()
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#----------------------------------------------------------------------
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def writeDrLog(self, content):
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@ -188,6 +188,9 @@ class MainEngine(object):
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# 停止事件引擎
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self.eventEngine.stop()
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# 停止数据记录引擎
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self.drEngine.stop()
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# 保存数据引擎里的合约数据到硬盘
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self.dataEngine.saveContracts()
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