初步完成回测引擎

vn.strategy/README.md

@@ -6,4 +6,14 @@
 
 完成了一个演示性的双指数均线策略，填入账号、密码等信息后直接运行demoStrategy.py就可以启动。
 
+##2015/5/28
 
+完成了一个简单的回测引擎，可以读取MongoDB中的历史TICK数据并通过回放的方式完全模拟真实情况下的策略交易情况。
+
+回测结束后将所有的成交记录输出到一个基于shelve的二进制文件中，用户可以在IPython或者Spyder之类的交互式环境中读取该文件的数据进行绩效分析。
+
+##计划
+
+与其说是一个成熟的产品，该模块更多应该被视作一个Python策略自动交易的Demo，目前只是非常粗糙的实现了实盘策略交易和基于TICK的仿实盘回测功能，其他诸如交易结果分析之类的工作都需要用户自行完成。
+
+未来将会加入回测结果输出等等的功能模块，回测完成后直接生成报表，便于用户查看；以及基于K线数据的回测（TICK数据还是挺难弄到的）。

vn.strategy/backtestingEngine.py

@@ -0,0 +1,224 @@
+# encoding: UTF-8
+
+import shelve
+
+from eventEngine import *
+from pymongo import Connection
+from pymongo.errors import *
+
+from strategyEngine import *
+
+
+########################################################################
+class LimitOrder(object):
+    """限价单对象"""
+
+    #----------------------------------------------------------------------
+    def __init__(self, symbol):
+        """Constructor"""
+        self.symbol = symbol
+        self.price = 0
+        self.volume = 0
+        self.direction = None
+        self.offset = None
+
+
+########################################################################
+class BacktestingEngine(object):
+    """
+    回测引擎，作用：
+    1. 从数据库中读取数据并回放
+    2. 作为StrategyEngine创建时的参数传入
+    """
+
+    #----------------------------------------------------------------------
+    def __init__(self):
+        """Constructor"""
+        self.eventEngine = EventEngine()
+        
+        # 策略引擎
+        self.strategyEngine = None
+        
+        # TICK历史数据列表，由于要使用For循环来实现仿真回放
+        # 使用list的速度比Numpy和Pandas都要更快
+        self.listDataHistory = []
+        
+        # 限价单字典
+        self.dictOrder = {}
+        
+        # 最新的TICK数据
+        self.currentData = None
+        
+        # 回测的成交字典
+        self.listTrade = []
+        
+        # 报单编号
+        self.orderRef = 0
+        
+        # 成交编号
+        self.tradeID = 0
+        
+    #----------------------------------------------------------------------
+    def setStrategyEngine(self, engine):
+        """设置策略引擎"""
+        self.strategyEngine = engine
+        self.writeLog(u'策略引擎设置完成')
+    
+    #----------------------------------------------------------------------
+    def connectMongo(self):
+        """连接MongoDB数据库"""
+        try:
+            self.__mongoConnection = Connection()
+            self.__mongoConnected = True
+            self.__mongoTickDB = self.__mongoConnection['TickDB']
+            self.writeLog(u'回测引擎连接MongoDB成功')
+        except ConnectionFailure:
+            self.writeLog(u'回测引擎连接MongoDB失败') 
+            
+    #----------------------------------------------------------------------
+    def loadDataHistory(self, symbol, startDate, endDate):
+        """载入历史TICK数据"""
+        if self.__mongoConnected:
+            collection = self.__mongoTickDB[symbol]
+            
+            # 如果输入了读取TICK的最后日期
+            if endDate:
+                cx = collection.find({'date':{'$gte':startDate, '$lte':endDate}})
+            elif startDate:
+                cx = collection.find({'date':{'$gte':startDate}})
+            else:
+                cx = collection.find()
+            
+            # 将TICK数据读入内存
+            self.listDataHistory = [data for data in cx]
+            
+            self.writeLog(u'历史TICK数据载入完成')
+        else:
+            self.writeLog(u'MongoDB未连接，请检查')
+            
+    #----------------------------------------------------------------------
+    def processLimitOrder(self):
+        """处理限价单"""
+        for ref, order in self.dictOrder.items():
+            # 如果是买单，且限价大于等于当前TICK的卖一价，则假设成交
+            if order.direction == DIRECTION_BUY and \
+               order.price >= self.currentData['AskPrice1']:
+                self.executeLimitOrder(ref, order, self.currentData['AskPrice1'])
+            # 如果是卖单，且限价低于当前TICK的买一价，则假设全部成交
+            if order.direction == DIRECTION_SELL and \
+               order.price <= self.currentData['BidPrice1']:
+                self.executeLimitOrder(ref, order, self.currentData['BidPrice1'])
+    
+    #----------------------------------------------------------------------
+    def executeLimitOrder(self, ref, order, price):
+        """限价单成交处理"""
+        # 成交回报
+        self.tradeID = self.tradeID + 1
+        
+        tradeData = {}
+        tradeData['InstrumentID'] = order.symbol
+        tradeData['OrderRef'] = ref
+        tradeData['TradeID'] = str(self.tradeID)
+        tradeData['Direction'] = order.direction
+        tradeData['OffsetFlag'] = order.offset
+        tradeData['Price'] = price
+        tradeData['Volume'] = order.volume
+        
+        tradeEvent = Event()
+        tradeEvent.dict_['data'] = tradeData
+        self.strategyEngine.updateTrade(tradeEvent)
+        
+        # 报单回报
+        orderData = {}
+        orderData['InstrumentID'] = order.symbol
+        orderData['OrderRef'] = ref
+        orderData['Direction'] = order.direction
+        orderData['CombOffsetFlag'] = order.offset
+        orderData['LimitPrice'] = price
+        orderData['VolumeTotalOriginal'] = order.volume
+        orderData['VolumeTraded'] = order.volume
+        orderData['InsertTime'] = ''
+        orderData['CancelTime'] = ''
+        orderData['FrontID'] = ''
+        orderData['SessionID'] = ''
+        orderData['OrderStatus'] = ''
+        
+        orderEvent = Event()
+        orderEvent.dict_['data'] = orderData
+        self.strategyEngine.updateOrder(orderEvent)
+        
+        # 记录该成交到列表中
+        self.listTrade.append(tradeData)
+        
+        # 删除该限价单
+        del self.dictOrder[ref]
+                
+    #----------------------------------------------------------------------
+    def startBacktesting(self):
+        """开始回测"""
+        self.writeLog(u'开始回测')
+        
+        for data in self.listDataHistory:
+            # 记录最新的TICK数据
+            self.currentData = data
+            
+            # 处理限价单
+            self.processLimitOrder()
+            
+            # 推送到策略引擎中
+            event = Event()
+            event.dict_['data'] = data
+            self.strategyEngine.updateMarketData(event)
+            
+        self.saveTradeData()
+        
+        self.writeLog(u'回测结束')
+    
+    #----------------------------------------------------------------------
+    def sendOrder(self, instrumentid, exchangeid, price, pricetype, volume, direction, offset):
+        """回测发单"""
+        order = LimitOrder(instrumentid)
+        order.price = price
+        order.direction = direction
+        order.volume = volume
+        order.offset = offset
+        
+        self.orderRef = self.orderRef + 1
+        self.dictOrder[str(self.orderRef)] = order
+        
+        return str(self.orderRef)
+    
+    #----------------------------------------------------------------------
+    def cancelOrder(self, instrumentid, exchangeid, orderref, frontid, sessionid):
+        """回测撤单"""
+        try:
+            del self.dictOrder[orderref]
+        except KeyError:
+            pass
+        
+    #----------------------------------------------------------------------
+    def writeLog(self, log):
+        """写日志"""
+        print log
+        
+    #----------------------------------------------------------------------
+    def selectInstrument(self, symbol):
+        """读取合约数据"""
+        d = {}
+        d['ExchangeID'] = 'BackTesting'
+        return d
+    
+    #----------------------------------------------------------------------
+    def saveTradeData(self):
+        """保存交易记录"""
+        f = shelve.open('result.vn')
+        f['listTrade'] = self.listTrade
+        f.close()
+        
+    #----------------------------------------------------------------------
+    def subscribe(self, symbol, exchange):
+        """仿真订阅合约"""
+        pass
+        
+    
+    

vn.strategy/strategydemo/README.md

@@ -0,0 +1,6 @@
+# strategydemo说明
+
+该文件夹下：
+
+- demoStrategy包含了一个简单的双EMA均线交易策略，填入账号密码等资料后可直接运行
+- demoBacktesting包含了一个基于以上策略的回测脚本，结果会输出到"result.vn"二进制文件中，可以使用Python的shelve模块打开

vn.strategy/strategydemo/backtestingEngine.py

@@ -0,0 +1,224 @@
+# encoding: UTF-8
+
+import shelve
+
+from eventEngine import *
+from pymongo import Connection
+from pymongo.errors import *
+
+from strategyEngine import *
+
+
+########################################################################
+class LimitOrder(object):
+    """限价单对象"""
+
+    #----------------------------------------------------------------------
+    def __init__(self, symbol):
+        """Constructor"""
+        self.symbol = symbol
+        self.price = 0
+        self.volume = 0
+        self.direction = None
+        self.offset = None
+
+
+########################################################################
+class BacktestingEngine(object):
+    """
+    回测引擎，作用：
+    1. 从数据库中读取数据并回放
+    2. 作为StrategyEngine创建时的参数传入
+    """
+
+    #----------------------------------------------------------------------
+    def __init__(self):
+        """Constructor"""
+        self.eventEngine = EventEngine()
+        
+        # 策略引擎
+        self.strategyEngine = None
+        
+        # TICK历史数据列表，由于要使用For循环来实现仿真回放
+        # 使用list的速度比Numpy和Pandas都要更快
+        self.listDataHistory = []
+        
+        # 限价单字典
+        self.dictOrder = {}
+        
+        # 最新的TICK数据
+        self.currentData = None
+        
+        # 回测的成交字典
+        self.listTrade = []
+        
+        # 报单编号
+        self.orderRef = 0
+        
+        # 成交编号
+        self.tradeID = 0
+        
+    #----------------------------------------------------------------------
+    def setStrategyEngine(self, engine):
+        """设置策略引擎"""
+        self.strategyEngine = engine
+        self.writeLog(u'策略引擎设置完成')
+    
+    #----------------------------------------------------------------------
+    def connectMongo(self):
+        """连接MongoDB数据库"""
+        try:
+            self.__mongoConnection = Connection()
+            self.__mongoConnected = True
+            self.__mongoTickDB = self.__mongoConnection['TickDB']
+            self.writeLog(u'回测引擎连接MongoDB成功')
+        except ConnectionFailure:
+            self.writeLog(u'回测引擎连接MongoDB失败') 
+            
+    #----------------------------------------------------------------------
+    def loadDataHistory(self, symbol, startDate, endDate):
+        """载入历史TICK数据"""
+        if self.__mongoConnected:
+            collection = self.__mongoTickDB[symbol]
+            
+            # 如果输入了读取TICK的最后日期
+            if endDate:
+                cx = collection.find({'date':{'$gte':startDate, '$lte':endDate}})
+            elif startDate:
+                cx = collection.find({'date':{'$gte':startDate}})
+            else:
+                cx = collection.find()
+            
+            # 将TICK数据读入内存
+            self.listDataHistory = [data for data in cx]
+            
+            self.writeLog(u'历史TICK数据载入完成')
+        else:
+            self.writeLog(u'MongoDB未连接，请检查')
+            
+    #----------------------------------------------------------------------
+    def processLimitOrder(self):
+        """处理限价单"""
+        for ref, order in self.dictOrder.items():
+            # 如果是买单，且限价大于等于当前TICK的卖一价，则假设成交
+            if order.direction == DIRECTION_BUY and \
+               order.price >= self.currentData['AskPrice1']:
+                self.executeLimitOrder(ref, order, self.currentData['AskPrice1'])
+            # 如果是卖单，且限价低于当前TICK的买一价，则假设全部成交
+            if order.direction == DIRECTION_SELL and \
+               order.price <= self.currentData['BidPrice1']:
+                self.executeLimitOrder(ref, order, self.currentData['BidPrice1'])
+    
+    #----------------------------------------------------------------------
+    def executeLimitOrder(self, ref, order, price):
+        """限价单成交处理"""
+        # 成交回报
+        self.tradeID = self.tradeID + 1
+        
+        tradeData = {}
+        tradeData['InstrumentID'] = order.symbol
+        tradeData['OrderRef'] = ref
+        tradeData['TradeID'] = str(self.tradeID)
+        tradeData['Direction'] = order.direction
+        tradeData['OffsetFlag'] = order.offset
+        tradeData['Price'] = price
+        tradeData['Volume'] = order.volume
+        
+        tradeEvent = Event()
+        tradeEvent.dict_['data'] = tradeData
+        self.strategyEngine.updateTrade(tradeEvent)
+        
+        # 报单回报
+        orderData = {}
+        orderData['InstrumentID'] = order.symbol
+        orderData['OrderRef'] = ref
+        orderData['Direction'] = order.direction
+        orderData['CombOffsetFlag'] = order.offset
+        orderData['LimitPrice'] = price
+        orderData['VolumeTotalOriginal'] = order.volume
+        orderData['VolumeTraded'] = order.volume
+        orderData['InsertTime'] = ''
+        orderData['CancelTime'] = ''
+        orderData['FrontID'] = ''
+        orderData['SessionID'] = ''
+        orderData['OrderStatus'] = ''
+        
+        orderEvent = Event()
+        orderEvent.dict_['data'] = orderData
+        self.strategyEngine.updateOrder(orderEvent)
+        
+        # 记录该成交到列表中
+        self.listTrade.append(tradeData)
+        
+        # 删除该限价单
+        del self.dictOrder[ref]
+                
+    #----------------------------------------------------------------------
+    def startBacktesting(self):
+        """开始回测"""
+        self.writeLog(u'开始回测')
+        
+        for data in self.listDataHistory:
+            # 记录最新的TICK数据
+            self.currentData = data
+            
+            # 处理限价单
+            self.processLimitOrder()
+            
+            # 推送到策略引擎中
+            event = Event()
+            event.dict_['data'] = data
+            self.strategyEngine.updateMarketData(event)
+            
+        self.saveTradeData()
+        
+        self.writeLog(u'回测结束')
+    
+    #----------------------------------------------------------------------
+    def sendOrder(self, instrumentid, exchangeid, price, pricetype, volume, direction, offset):
+        """回测发单"""
+        order = LimitOrder(instrumentid)
+        order.price = price
+        order.direction = direction
+        order.volume = volume
+        order.offset = offset
+        
+        self.orderRef = self.orderRef + 1
+        self.dictOrder[str(self.orderRef)] = order
+        
+        return str(self.orderRef)
+    
+    #----------------------------------------------------------------------
+    def cancelOrder(self, instrumentid, exchangeid, orderref, frontid, sessionid):
+        """回测撤单"""
+        try:
+            del self.dictOrder[orderref]
+        except KeyError:
+            pass
+        
+    #----------------------------------------------------------------------
+    def writeLog(self, log):
+        """写日志"""
+        print log
+        
+    #----------------------------------------------------------------------
+    def selectInstrument(self, symbol):
+        """读取合约数据"""
+        d = {}
+        d['ExchangeID'] = 'BackTesting'
+        return d
+    
+    #----------------------------------------------------------------------
+    def saveTradeData(self):
+        """保存交易记录"""
+        f = shelve.open('result.vn')
+        f['listTrade'] = self.listTrade
+        f.close()
+        
+    #----------------------------------------------------------------------
+    def subscribe(self, symbol, exchange):
+        """仿真订阅合约"""
+        pass
+        
+    
+    

vn.strategy/strategydemo/demoBacktesting.py

@@ -0,0 +1,37 @@
+# encoding: UTF-8
+
+from strategyEngine import *
+from backtestingEngine import *
+from demoStrategy import SimpleEmaStrategy
+
+
+
+# 回测脚本    
+if __name__ == '__main__':
+    symbol = 'IF1506'
+    
+    # 创建回测引擎
+    be = BacktestingEngine()
+    
+    # 创建策略引擎对象
+    se = StrategyEngine(be.eventEngine, be, backtesting=True)
+    be.setStrategyEngine(se)
+    
+    # 初始化回测引擎
+    be.connectMongo()
+    be.loadDataHistory(symbol, datetime(2015,5,1), datetime.today())
+    
+    # 创建策略对象
+    setting = {}
+    setting['fastAlpha'] = 0.2
+    setting['slowAlpha'] = 0.05
+    setting['startDate'] = datetime(year=2015, month=5, day=20)
+    se.createStrategy(u'EMA演示策略', symbol, SimpleEmaStrategy, setting)
+    
+    # 启动所有策略
+    se.startAll()
+    
+    # 开始回测
+    be.startBacktesting()
+    
+

vn.strategy/strategydemo/demoStrategy.py

@@ -74,12 +74,19 @@ class SimpleEmaStrategy(StrategyTemplate):
         except KeyError:
             self.engine.writeLog(self.name + u'读取参数设定出错，请检查参数字典')
         
+        try:
+            self.initStrategy(setting['startDate'])
+        except KeyError:
             self.initStrategy()
         
     #----------------------------------------------------------------------
-    def initStrategy(self):
+    def initStrategy(self, startDate=None):
         """初始化"""
         td = timedelta(days=3)     # 读取3天的历史TICK数据
+        
+        if startDate:
+            cx = self.engine.loadTick(self.symbol, startDate-td)
+        else:
             today = datetime.today().replace(hour=0, minute=0, second=0, microsecond=0)
             cx = self.engine.loadTick(self.symbol, today-td)  
         

vn.strategy/strategydemo/strategyEngine.py

@@ -68,7 +68,7 @@ class Tick:
 
 
 ########################################################################
-class Trade:
+class Trade(object):
     """成交数据对象"""
 
     #----------------------------------------------------------------------
@@ -86,7 +86,7 @@ class Trade:
  
 
 ########################################################################
-class Order:
+class Order(object):
     """报单数据对象"""
 
     #----------------------------------------------------------------------
@@ -112,7 +112,7 @@ class Order:
 
 
 ########################################################################
-class StopOrder:
+class StopOrder(object):
     """
     停止单对象
     用于实现价格突破某一水平后自动追入
@@ -135,10 +135,11 @@ class StrategyEngine(object):
     """策略引擎"""
 
     #----------------------------------------------------------------------
-    def __init__(self, eventEngine, mainEngine):
+    def __init__(self, eventEngine, mainEngine, backtesting=False):
         """Constructor"""
         self.__eventEngine = eventEngine
         self.mainEngine = mainEngine
+        self.backtesting = backtesting      # 是否在进行回测
         
         # 获取代表今日的datetime
         t = datetime.today()
@@ -209,17 +210,22 @@ class StrategyEngine(object):
             self.__mongoTickDB[symbol].insert(data)
         
     #----------------------------------------------------------------------
-    def loadTick(self, symbol, dt):
+    def loadTick(self, symbol, startDate, endDate=None):
         """从MongoDB中读取Tick数据"""
         if self.__mongoConnected:
             collection = self.__mongoTickDB[symbol]
-            cx = collection.find({'date':{'$gte':dt}})
+            
+            # 如果输入了读取TICK的最后日期
+            if endDate:
+                cx = collection.find({'date':{'$gte':startDate, '$lte':endDate}})
+            else:
+                cx = collection.find({'date':{'$gte':startDate}})
             return cx
         else:
             return None  
 
     #----------------------------------------------------------------------
-    def __updateMarketData(self, event):
+    def updateMarketData(self, event):
         """行情更新"""
         data = event.dict_['data']
         symbol = data['InstrumentID']
@@ -275,6 +281,7 @@ class StrategyEngine(object):
                 strategy.onTick(tick) 
         
         # 将数据插入MongoDB数据库，实盘建议另开程序记录TICK数据
+        if not self.backtesting:
             self.__recordTick(data)
             
     #----------------------------------------------------------------------
@@ -325,7 +332,7 @@ class StrategyEngine(object):
                 del self.__dictStopOrder[symbol]
     
     #----------------------------------------------------------------------
-    def __updateOrder(self, event):
+    def updateOrder(self, event):
         """报单更新"""
         data = event.dict_['data']
         orderRef = data['OrderRef']
@@ -358,7 +365,7 @@ class StrategyEngine(object):
         self.__dictOrder[orderRef] = data
     
     #----------------------------------------------------------------------
-    def __updateTrade(self, event):
+    def updateTrade(self, event):
         """成交更新"""
         data = event.dict_['data']
         orderRef = data['OrderRef']
@@ -425,9 +432,9 @@ class StrategyEngine(object):
     #----------------------------------------------------------------------
     def __registerEvent(self):
         """注册事件监听"""
-        self.__eventEngine.register(EVENT_MARKETDATA, self.__updateMarketData)
-        self.__eventEngine.register(EVENT_ORDER, self.__updateOrder)
-        self.__eventEngine.register(EVENT_TRADE ,self.__updateTrade)
+        self.__eventEngine.register(EVENT_MARKETDATA, self.updateMarketData)
+        self.__eventEngine.register(EVENT_ORDER, self.updateOrder)
+        self.__eventEngine.register(EVENT_TRADE ,self.updateTrade)
         
     #----------------------------------------------------------------------
     def writeLog(self, log):