From 70723dc0ccbbf6308c1fa13ed25be06c904fa074 Mon Sep 17 00:00:00 2001 From: chenxy123 Date: Tue, 8 Nov 2016 22:52:34 +0800 Subject: [PATCH] =?UTF-8?q?=E5=A2=9E=E5=8A=A0CTA=E6=A8=A1=E5=9D=97?= =?UTF-8?q?=E4=B8=8Btools=E4=B8=AD=E7=9A=84multiTimeFrame=E6=89=A9?= =?UTF-8?q?=E5=B1=95=E5=8A=9F=E8=83=BD?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- vn.trader/ctaAlgo/tools/README.md | 3 + .../Screen Shot 2016-11-08 at 9.08.47 PM.png | Bin 0 -> 391284 bytes .../multiTimeFrame/ctaBacktestMultiTF.py | 206 +++++++++ .../multiTimeFrame/ctaStrategyMultiTF.py | 410 ++++++++++++++++++ .../tools/multiTimeFrame/strategyBreakOut.py | 317 ++++++++++++++ 5 files changed, 936 insertions(+) create mode 100644 vn.trader/ctaAlgo/tools/multiTimeFrame/Screen Shot 2016-11-08 at 9.08.47 PM.png create mode 100644 vn.trader/ctaAlgo/tools/multiTimeFrame/ctaBacktestMultiTF.py create mode 100644 vn.trader/ctaAlgo/tools/multiTimeFrame/ctaStrategyMultiTF.py create mode 100644 vn.trader/ctaAlgo/tools/multiTimeFrame/strategyBreakOut.py diff --git a/vn.trader/ctaAlgo/tools/README.md b/vn.trader/ctaAlgo/tools/README.md index 7b8350f0..67c59f15 100644 --- a/vn.trader/ctaAlgo/tools/README.md +++ b/vn.trader/ctaAlgo/tools/README.md @@ -5,3 +5,6 @@ * 贡献者:李来佳 * WeChat/QQ: 28888502 +### multiTimeFrame +* 简介:基于CTA模块扩展了回测和交易功能,允许策略中引用辅助品种信息(其他时间框架、其他合约),同时提供了一个突破策略的例子 +* 贡献者:周正舟 diff --git a/vn.trader/ctaAlgo/tools/multiTimeFrame/Screen Shot 2016-11-08 at 9.08.47 PM.png b/vn.trader/ctaAlgo/tools/multiTimeFrame/Screen Shot 2016-11-08 at 9.08.47 PM.png new file mode 100644 index 0000000000000000000000000000000000000000..ca857f31d2667b9024b946027549d1753d4a9398 GIT binary patch literal 391284 zcmcG$by$>ZyEYEP(A^!v&@Bi^4qZ|b(n@!CgLIdG0@BhTEh0*nbPCcTA`K!TAm2S} zt-bfV_wV<|yN~1h)-g-QXP%k4`Z}-kx-nK$T@e?H3JVDd30GN3?lBS)hAk2jv=jpk zT=8|s7eGS7p|q2g)l`<1WzckYv9@!xLPAoC&B#L6*B&Ap_?}53BZDmmSJ_cZF@57B z4HuoqP!82JSHfWQ_SEWXjz{He!zx-cL^5#HudBm2|0FFZZ$OT%uj!W#o$z{kwQ}|8 z{Y935&Df32;ZhDI(hFJxh_p~81db=AK|#Ae@aU0>bs7u_IU7#NhQt`pO?0UsABkei zbkVWc$xVTK(AF&YMQZP^s=~dMQ3y$iWJ@P0<~7O{8&a!~5yJ>d=mg%aLgOj)aWJ}p z2?iGEtnk5{54ca~QtF<_&-EQ-te1U*h>3he_>xUC!4dWe!tdOUkqtin`%Zqafi< z?h^EnW7_O?oaZulnw=7Kdf!}j%c)+jmW@A94kenJfbC1DTkB1$nG=PvN$_NkQ#|T| zR?o@2x3jlvQ(#`bY|+ij)Rr%&YmoGDlyi~v2mC6v^wb1f@_nD1*F`YU|1co&g;8Yc z@DW==OpRQEcyE~BVnVnWpg%&ftD_~DxQQ$u1o|c-N3Llo88c8heP^xu_B?Rs?*4AZ z(;DgQYN4ldjM(Clx#13*rmg67cyA@^<~M6w7nQ_HPnF*G!p)KRBPisWC}z8&DjUrR zAuAmxkzHcsN$Qo6Qum`=t}rw(X(I+Aa-f*&JTd4RmIhJ9*2i%XQfxNQmEn*^RNQ19 z((Qf9*eA&BJ6Jn`z!=)ir*+NCzq4$5kvg3H=oGgT<@ zfnz=2)5D%OQ1sclzp^}H3ku!U1?$w6rNDd0@@|$#roGBG+t?X3Z!t1=P3kKGKx(ELA}s= znSH`1z1Wy?-Kn-POl9dQLP=2|wy=9ikdvJ8%t{|sFZ@BbO%QGRvybzNxiQmjEY7%JY%u7e8&8Y_B|kw{ zpFi2~x_o#ex)OV_{uER2IbK)XnmPtEjA#n85u-2Sez$2if4AS|p(im~j2vUQt%7IR zku?#2x=3{E^VURtRdKa_25-V^Wmp>7P~4Vs9IRf+uf%-HdJ1`ped@tu;U6dlsnr@S ztmvufLxJvu?-Sbd1JeQ%ZxY1I3yPi;$vfN24lhW0B*w(ok(pdU>ESdIFj}82nQc5uG-^1Slbzr6(lE@> zz|f&-x0%j<^K0hU^ky47moJiUm&Npgst5GX=hNz=2Uez~y|}!Jyta4t=j>*Ge3_lb zog>|Go|C9rtQwg3IXOII^w#I`TgCj^qc`KzPv3^9+@WfR{}>*zb~ewmIH%m9h@gnU z^`>m1#G%Tj?58B7oTHKyETVW%^@g%W*j{K?U`{yCQv6Hn*UP-v=do4FQ9}ypWa$^B z)}@%Gs%m>``8jskk=dl#x;YYjWv>EqzGpvqxmw3y*lK8L;Mi#UPLBIEmjKr=_glk4 zy)ixUDknYKO^nT@{*wXSgbz+?&F9Ty?`m5Po6P1T7D*On7Tc*@#3lW1vQM}-JHCo8 zST7#de{?Cc7M`pfteree{P;#<@zc_uD3sBAgJxl};XMwDoQk!Z-UDLlo@L7Fs;{$O ze-im1g8kYdH^4Z-%QO~^Z_B-VW#75qxPU2JcxJmNsn2m&Iq29_=F za%VQNCXObTqTyaY;_*nW9`o*&2noD*IOI{n>N2cqxlPVf;TY){!E!;c7@S07@+-d2 zTpYr??}mDZw9^Qf1JWRqVJHcDAD%<+2b?%#_16mc{5Xm`Jvxvadrz(mG$ zAcn=koqRTnWo#dtAVSwoc(p++{VSSW9!m&&cnYoZ>f37#xBp!VLGoYp!BWk z(a`Z2+wjh}tDh~$rZ!QQhl7Fnq_3KJ9oWR~eGrPyO;7X4ecM02k)Kl`-1y8ox>H4y zD`l(gyYt`yaTMl79KocZmTaEr(r#1SXrEN9*w2rr!#|});_|&p;LV{=Cqx(B&rcV| zvBI%JUWJdFjoalp@cB$Gjro20={>5rT{h-o`mE{M(DTE{E^JP6Eixst7XT(MJz030FTCT@=+HW-1vSfC({q3o$2y>RIlj^XF)Z1ro zTW=bd$8&<|3}3Z0IA#2-JgADTx~g)iIWg6Kujl2o{&bcQ6H|sOa zu(xB0BZtT66Tyt;J;Vu<@gH^kLEzZNB%Z z_sRlkdsS_BQ<0;vo6n!avVe_?rkjo5s~9{W>nJ?Qt8%ZX{Q9;rME8Lq zckSUrzF+X`uF!DY2XhZT*i$yYiSE32Qb^uWdgH(6I={ZnRI6y8lufhjpAcMKf>)7a z^5sds7O$O>{f>y_iLXbo;%5D-WANe^%L$!ena$qH^cU%>>Ugg?#AibcUE3}m{eD%u zO*wio&XV`h&H40w%TKfKyrvj!t}T7oj~rdJd_!V8^Q$$3GUe&lb3W+@+TBo{|LW2ln@9;|wj64K zP;l8AQX#pVBg0jn2cY{V6|)VEKfN!zWurhDcGr6p|A zuS*mn0&ZUKK5l#536c8RfkYkX$k*s%%miiyOjjiX4 z;^`p4sIR8UAnW38#qfYfkcW>^5{rR>LEPQaTJ*7;!ar{Zf0JOe_4ITV<>mG9@!|0i z;Bj%c;pKn$@F6eXect=`xxpRW9)8ZAX1?6c9!!6K$bWo}oRx=#yPd12or^OA;&aW+ zUA#Oc7#R^?^q>FzEvJ>Q-G6dV4K@^ibbH0amEp&|bcpK&eEh0a8%Qt1EY!C((1!4fR$ z&%{kf!c6)1A8=Y^EWt~L|HV7NXTx7$Y8DV$bvow#Z$u1*vQ4ZBtcgMZ1Y~1pcUx{3 zxkto+{O>$$2!T!GhC<1lO~WoS)q4_tg_x=Ju`~@kMxw-{J$oiifA)DV=H_haWkUFC zIfYP2;^1X{3koI$B(b`>x-GTFu=#Ts(^ksAY11V*gCPXhN z*RMwlyj`WckDJto`wtI(Kg$x5nB?sc6SXF1n9fPkN&bSXZz6_{C1~vMb?fy@-2yWa z9%tAy;jr1NCtn^=*5KDJZ(0Sw;E=<6@ViYqBX<^93LA9Chp6u{4J&4AGSY4Gwc}^X zRCp0V!JRURs#`8>O%ie@b=b&mvlR@P40h2~lT9>?e`6GXGM(-BvVNU+WTBm;ibJ@_ zutqvc7?<|`&q?79>T~Y>=wPR|;`A87)5k#}gNMP`ux%Xn38hCL+-61z3gE?*BJEb# zVYVTzPLwd}d&oqt%*em#pJZpGGa@Sz7p%H9`H6@SxjsN#%*je;LR`H29~V8?!v

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zG2@(k>M98~2HZ^~)z3!&zrG#n!7`QG@!s{_d*#F<-9l^b6B+jFiYbc)H=Oyw(l-gZbnio+Gs`kJ>$~lPaXOgbeD>xB(Qs~gwNGZ$NIdYv`V^W z^KPYf_UQhWXPflr(`U?LpIxwK+fP!AI%m4|t$LnwRXi`@Cd2rILjdv`jjmhq@n{>k$!OrW@SgV}Rp#-S$eoSA4wbGF!~A0xf4{~K zSqC3N!Rvw#dVe`7-P`)H9R9-%w3?HG`M}Ghs-_=z3xvlWI589%k7f^`);CUsb;>6xl-?FhgjJMt5j3*^iHhS&JXn5;@Kxn$}t`@3V39nt{cq%rSfG4A; 0: + self.MultiOn = True + + # ---------------------------------------------------------------------- + def loadInitData(self, collection, **kwargs): + """Load initializing data""" + # 载入初始化需要用的数据 + # Load initialised data + + # $gte means "greater and equal to" + # $lt means "less than" + flt = {'datetime': {'$gte': self.dataStartDate, + '$lt': self.strategyStartDate}} + self.initCursor = collection.find(flt) + + # 初始化辅助品种数据 + # Initializing information data + if "inf" in kwargs: + for name in kwargs["inf"]: + DB = kwargs["inf"][name] + self.initInfoCursor[name] = DB.find(flt) + + # 将数据从查询指针中读取出,并生成列表 + # Read data from cursor, generate a list + self.initData = [] + + for d in self.initCursor: + data = self.dataClass() + data.__dict__ = d + self.initData.append(data) + + # ---------------------------------------------------------------------- + def loadHistoryData(self): + """载入历史数据""" + """load historical data""" + + host, port = loadMongoSetting() + + self.dbClient = pymongo.MongoClient(host, port) + collection = self.dbClient[self.dbName][self.symbol] + + # Load historical data of information symbols, construct a dictionary of Database + # Values of dictionary are mongo.Client. + info_collection = {} + if self.MultiOn is True: + for DBname, symbol in self.info_symbols: + info_collection[DBname + " " + symbol] = self.dbClient[DBname][symbol] + + self.output("Start loading historical data") + + # 首先根据回测模式,确认要使用的数据类 + # Choose data type based on backtest mode + if self.mode == self.BAR_MODE: + self.dataClass = CtaBarData + self.func = self.newBar + else: + self.dataClass = CtaTickData + self.func = self.newTick + + # Load initializing data + self.loadInitData(collection, inf=info_collection) + + # 载入回测数据 + # Load backtest data (exclude initializing data) + if not self.dataEndDate: + # If "End Date" is not set, retreat data up to today + flt = {'datetime': {'$gte': self.strategyStartDate}} + else: + flt = {'datetime': {'$gte': self.strategyStartDate, + '$lte': self.dataEndDate}} + self.dbCursor = collection.find(flt) + + if self.MultiOn is True: + for db in info_collection: + self.InfoCursor[db] = info_collection[db].find(flt) + self.output( + "Data loading completed, data volumn: %s" % (self.initCursor.count() + self.dbCursor.count() + \ + sum([i.count() for i in self.InfoCursor.values()]))) + else: + self.output("Data loading completed, data volumn: %s" % (self.initCursor.count() + self.dbCursor.count())) + + # ---------------------------------------------------------------------- + def runBacktesting(self): + """运行回测""" + """Run backtesting""" + + # 载入历史数据 + # Load historical data + self.loadHistoryData() + + self.output("Start backtesing!") + + self.strategy.inited = True + self.strategy.onInit() + self.output("Strategy initialsing complete") + + self.strategy.trading = True + self.strategy.onStart() + self.output("Strategy started") + + self.output("Processing historical data...") + + dataClass = self.dataClass + func = self.func + for d in self.dbCursor: + data = dataClass() + data.__dict__ = d + func(data) + + self.output("No more historical data") + + # ---------------------------------------------------------------------- + def checkInformationData(self): + """Update information symbols' data""" + + # If infobar is empty, which means it is the first time calling this method + if self.infobar == {}: + for info_symbol in self.InfoCursor: + try: + self.infobar[info_symbol] = next(self.InfoCursor[info_symbol]) + except StopIteration: + print "Data of information symbols is empty! Input must be a list, not str." + raise + + temp = {} + for info_symbol in self.infobar: + + data = self.infobar[info_symbol] + + # Update data only when Time Stamp is matched + if data['datetime'] <= self.dt: + try: + temp[info_symbol] = CtaBarData() + temp[info_symbol].__dict__ = data + self.infobar[info_symbol] = next(self.InfoCursor[info_symbol]) + except StopIteration: + self.output("No more data in information database.") + else: + temp[info_symbol] = None + + return temp + + # ---------------------------------------------------------------------- + def newBar(self, bar): + """新的K线""" + """new ohlc Bar""" + self.bar = bar + self.dt = bar.datetime + self.updatePosition() # Update total position value based on new Bar + self.crossLimitOrder() # 先撮合限价单 + self.crossStopOrder() # 再撮合停止单 + if self.MultiOn is True: + self.strategy.onBar(bar, infobar=self.checkInformationData()) # 推送K线到策略中 + else: + self.strategy.onBar(bar) # 推送K线到策略中 + + # ---------------------------------------------------------------------- + def newTick(self, tick): + """新的Tick""" + """new Tick""" + self.tick = tick + self.dt = tick.datetime + self.crossLimitOrder() + self.crossStopOrder() + self.strategy.onTick(tick) + +######################################################################## + diff --git a/vn.trader/ctaAlgo/tools/multiTimeFrame/ctaStrategyMultiTF.py b/vn.trader/ctaAlgo/tools/multiTimeFrame/ctaStrategyMultiTF.py new file mode 100644 index 00000000..21eb627e --- /dev/null +++ b/vn.trader/ctaAlgo/tools/multiTimeFrame/ctaStrategyMultiTF.py @@ -0,0 +1,410 @@ +# encoding: UTF-8 +""" +This file tweaks ctaTemplate Module to suit multi-TimeFrame strategies. +""" + +from strategyAtrRsi import * +from ctaBase import * +from ctaTemplate import CtaTemplate + +######################################################################## +class TC11(CtaTemplate): + + # Strategy name and author + className = "TC11" + author = "Zenacon" + + # Set MongoDB DataBase + barDbName = "TestData" + + # Strategy parameters + pGeneric_prd = 21 + pGeneric_on = True + + pATRprd_F = 13 + pATRprd_M = 21 + pATRprd_S = 63 + + pBOSSplus_prd = 98 + pBOSSminus_prd = 22 + + if pGeneric_on == 0: + pRSIprd = 20 + pBBprd = 10 + pBB_ATRprd = 15 + pATRprd = 21 + pDMIprd = 21 + else: + pRSIprd = \ + pBBprd = \ + pBB_ATRprd = \ + pATRprd = \ + pDMIprd = pGeneric_prd + + pBOSS_Mult = 1.75 + + # Strategy variables + vOBO_initialpoint = EMPTY_FLOAT + vOBO_Stretch = EMPTY_FLOAT + vOBO_level_L = EMPTY_FLOAT + vOBO_level_S = EMPTY_FLOAT + + # parameters' list, record names of parameters + paramList = ['name', + 'className', + 'author', + 'vtSymbol'] + + # variables' list, record names of variables + varList = ['inited', + 'trading', + 'pos'] + + def __init__(self, ctaEngine, setting): + """Constructor""" + super(TC11, self).__init__(ctaEngine, setting) + + # ---------------------------------------------------------------------- + def onBar(self, bar, **kwargs): + """收到Bar推送(必须由用户继承实现)""" + # 撤销之前发出的尚未成交的委托(包括限价单和停止单) + for orderID in self.orderList: + self.cancelOrder(orderID) + self.orderList = [] + + # Record new information bar + if "infobar" in kwargs: + for i in kwargs["infobar"]: + if kwargs["infobar"][i] is None: + pass + else: + # print kwargs["infobar"][i]["close"] + self.closeArray[0:self.bufferSize - 1] = self.closeArray[1:self.bufferSize] + self.highArray[0:self.bufferSize - 1] = self.highArray[1:self.bufferSize] + self.lowArray[0:self.bufferSize - 1] = self.lowArray[1:self.bufferSize] + + self.closeArray[-1] = bar.close + self.highArray[-1] = bar.high + self.lowArray[-1] = bar.low + + """ + Record new bar + """ + self.closeArray[0:self.bufferSize - 1] = self.closeArray[1:self.bufferSize] + self.highArray[0:self.bufferSize - 1] = self.highArray[1:self.bufferSize] + self.lowArray[0:self.bufferSize - 1] = self.lowArray[1:self.bufferSize] + + self.closeArray[-1] = bar.close + self.highArray[-1] = bar.high + self.lowArray[-1] = bar.low + + self.bufferCount += 1 + if self.bufferCount < self.bufferSize: + return + + """ + Calculate Indicators + """ + + vOBO_initialpoint = self.dataHTF_filled['Open'] + vOBO_Stretch = self.vATR['htf'].m * self.pBOSS_Mult + + self.atrValue = talib.ATR(self.highArray, + self.lowArray, + self.closeArray, + self.atrLength)[-1] + self.atrArray[0:self.bufferSize - 1] = self.atrArray[1:self.bufferSize] + self.atrArray[-1] = self.atrValue + + self.atrCount += 1 + if self.atrCount < self.bufferSize: + return + + self.atrMa = talib.MA(self.atrArray, + self.atrMaLength)[-1] + self.rsiValue = talib.RSI(self.closeArray, + self.rsiLength)[-1] + + # 判断是否要进行交易 + + # 当前无仓位 + if self.pos == 0: + self.intraTradeHigh = bar.high + self.intraTradeLow = bar.low + + # ATR数值上穿其移动平均线,说明行情短期内波动加大 + # 即处于趋势的概率较大,适合CTA开仓 + if self.atrValue > self.atrMa: + # 使用RSI指标的趋势行情时,会在超买超卖区钝化特征,作为开仓信号 + if self.rsiValue > self.rsiBuy: + # 这里为了保证成交,选择超价5个整指数点下单 + self.buy(bar.close + 5, 1) + + elif self.rsiValue < self.rsiSell: + self.short(bar.close - 5, 1) + + # 持有多头仓位 + elif self.pos > 0: + # 计算多头持有期内的最高价,以及重置最低价 + self.intraTradeHigh = max(self.intraTradeHigh, bar.high) + self.intraTradeLow = bar.low + # 计算多头移动止损 + longStop = self.intraTradeHigh * (1 - self.trailingPercent / 100) + # 发出本地止损委托,并且把委托号记录下来,用于后续撤单 + orderID = self.sell(longStop, 1, stop=True) + self.orderList.append(orderID) + + # 持有空头仓位 + elif self.pos < 0: + self.intraTradeLow = min(self.intraTradeLow, bar.low) + self.intraTradeHigh = bar.high + + shortStop = self.intraTradeLow * (1 + self.trailingPercent / 100) + orderID = self.cover(shortStop, 1, stop=True) + self.orderList.append(orderID) + + # 发出状态更新事件 + self.putEvent() + +######################################################################## +class Prototype(AtrRsiStrategy): + + """ + "infoArray" 字典是用来储存辅助品种信息的, 可以是同品种的不同分钟k线, 也可以是不同品种的价格。 + + 调用的方法: + self.infoArray["数据库名 + 空格 + collection名"]["close"] + self.infoArray["数据库名 + 空格 + collection名"]["high"] + self.infoArray["数据库名 + 空格 + collection名"]["low"] + """ + infoArray = {} + initInfobar = {} + + def __int__(self): + super(Prototype, self).__int__() + + # ---------------------------------------------------------------------- + def onInit(self): + """初始化策略(必须由用户继承实现)""" + self.writeCtaLog(u'%s策略初始化' % self.name) + + # 初始化RSI入场阈值 + self.rsiBuy = 50 + self.rsiEntry + self.rsiSell = 50 - self.rsiEntry + + # 载入历史数据,并采用回放计算的方式初始化策略数值 + initData = self.loadBar(self.initDays) + for bar in initData: + + # 推送新数据, 同时检查是否有information bar需要推送 + # Update new bar, check whether the Time Stamp matching any information bar + ibar = self.checkInfoBar(bar) + self.onBar(bar, infobar=ibar) + + self.putEvent() + + # ---------------------------------------------------------------------- + def checkInfoBar(self, bar): + """在初始化时, 检查辅助品种数据的推送(初始化结束后, 回测时不会调用)""" + + initInfoCursorDict = self.ctaEngine.initInfoCursor + + # 如果"initInfobar"字典为空, 初始化字典, 插入第一个数据 + # If dictionary "initInfobar" is empty, insert first data record + if self.initInfobar == {}: + for info_symbol in initInfoCursorDict: + try: + self.initInfobar[info_symbol] = next(initInfoCursorDict[info_symbol]) + except StopIteration: + print "Data of information symbols is empty! Input is a list, not str." + raise + + # 若有某一品种的 TimeStamp 和执行报价的 TimeStamp 匹配, 则将"initInfobar"中的数据推送, + # 然后更新该品种的数据 + # If any symbol's TimeStamp is matched with execution symbol's TimeStamp, return data + # in "initInfobar", and update new data. + temp = {} + for info_symbol in self.initInfobar: + + data = self.initInfobar[info_symbol] + + # Update data only when Time Stamp is matched + if data['datetime'] <= bar.datetime: + try: + temp[info_symbol] = CtaBarData() + temp[info_symbol].__dict__ = data + self.initInfobar[info_symbol] = next(initInfoCursorDict[info_symbol]) + except StopIteration: + self.ctaEngine.output("No more data for initializing %s." % (info_symbol,)) + else: + temp[info_symbol] = None + + return temp + + # ---------------------------------------------------------------------- + def updateInfoArray(self, infobar): + """收到Infomation Data, 更新辅助品种缓存字典""" + + for name in infobar: + + data = infobar[name] + + # Construct empty array + if len(self.infoArray) < len(infobar) : + self.infoArray[name] = { + "close": np.zeros(self.bufferSize), + "high": np.zeros(self.bufferSize), + "low": np.zeros(self.bufferSize) + } + + if data is None: + pass + + else: + self.infoArray[name]["close"][0:self.bufferSize - 1] = \ + self.infoArray[name]["close"][1:self.bufferSize] + self.infoArray[name]["high"][0:self.bufferSize - 1] = \ + self.infoArray[name]["high"][1:self.bufferSize] + self.infoArray[name]["low"][0:self.bufferSize - 1] = \ + self.infoArray[name]["low"][1:self.bufferSize] + + self.infoArray[name]["close"][-1] = data.close + self.infoArray[name]["high"][-1] = data.high + self.infoArray[name]["low"][-1] = data.low + + # ---------------------------------------------------------------------- + def onBar(self, bar, **kwargs): + """收到Bar推送(必须由用户继承实现)""" + # 撤销之前发出的尚未成交的委托(包括限价单和停止单) + for orderID in self.orderList: + self.cancelOrder(orderID) + self.orderList = [] + + # Update infomation data + # "infobar"是由不同时间或不同品种的品种数据组成的字典, 如果和执行品种的 TimeStamp 不匹配, + # 则传入的是"None", 当time stamp和执行品种匹配时, 传入的是"Bar" + self.updateInfoArray(kwargs["infobar"]) + + # 保存K线数据 + self.closeArray[0:self.bufferSize - 1] = self.closeArray[1:self.bufferSize] + self.highArray[0:self.bufferSize - 1] = self.highArray[1:self.bufferSize] + self.lowArray[0:self.bufferSize - 1] = self.lowArray[1:self.bufferSize] + + self.closeArray[-1] = bar.close + self.highArray[-1] = bar.high + self.lowArray[-1] = bar.low + + # 若读取的缓存数据不足, 不考虑交易 + self.bufferCount += 1 + if self.bufferCount < self.bufferSize: + return + + # 计算指标数值 + + # 计算不同时间下的ATR数值 + + # Only trading when information bar changes + # 只有在30min或者1d K线更新后才可以交易 + TradeOn = False + if any([i is not None for i in kwargs["infobar"].values()]): + + TradeOn = True + self.scaledAtrValue1M = talib.ATR(self.highArray, + self.lowArray, + self.closeArray, + self.atrLength)[-1] * (25) ** (0.5) + self.atrValue30M = talib.abstract.ATR(self.infoArray["TestData @GC_30M"])[-1] + self.rsiValue = talib.abstract.RSI(self.infoArray["TestData @GC_30M"], self.rsiLength)[-1] + + self.atrCount += 1 + if self.atrCount < self.bufferSize: + return + + # 判断是否要进行交易 + + # 当前无仓位 + if (self.pos == 0 and TradeOn == True): + self.intraTradeHigh = bar.high + self.intraTradeLow = bar.low + + # 1Min调整后ATR大于30MinATR + # 即处于趋势的概率较大,适合CTA开仓 + if self.atrValue30M < self.scaledAtrValue1M: + # 使用RSI指标的趋势行情时,会在超买超卖区钝化特征,作为开仓信号 + if self.rsiValue > self.rsiBuy: + # 这里为了保证成交,选择超价5个整指数点下单 + self.buy(bar.close+5, 1) + + elif self.rsiValue < self.rsiSell: + self.short(bar.close-5, 1) + + # 下单后, 在下一个30Min K线之前不交易 + TradeOn = False + + # 持有多头仓位 + elif self.pos > 0: + # 计算多头持有期内的最高价,以及重置最低价 + self.intraTradeHigh = max(self.intraTradeHigh, bar.high) + self.intraTradeLow = bar.low + # 计算多头移动止损 + longStop = self.intraTradeHigh * (1 - self.trailingPercent / 100) + # 发出本地止损委托,并且把委托号记录下来,用于后续撤单 + orderID = self.sell(longStop, 1, stop=True) + self.orderList.append(orderID) + + # 持有空头仓位 + elif self.pos < 0: + self.intraTradeLow = min(self.intraTradeLow, bar.low) + self.intraTradeHigh = bar.high + + shortStop = self.intraTradeLow * (1 + self.trailingPercent / 100) + orderID = self.cover(shortStop, 1, stop=True) + self.orderList.append(orderID) + + # 发出状态更新事件 + self.putEvent() + + +if __name__ == '__main__': + # 提供直接双击回测的功能 + # 导入PyQt4的包是为了保证matplotlib使用PyQt4而不是PySide,防止初始化出错 + from ctaBacktestMultiTF import * + from PyQt4 import QtCore, QtGui + import time + + ''' + 创建回测引擎 + 设置引擎的回测模式为K线 + 设置回测用的数据起始日期 + 载入历史数据到引擎中 + 在引擎中创建策略对象 + + Create backtesting engine + Set backtest mode as "Bar" + Set "Start Date" of data range + Load historical data to engine + Create strategy instance in engine + ''' + engine = BacktestEngineMultiTF() + engine.setBacktestingMode(engine.BAR_MODE) + engine.setStartDate('20100101') + engine.setDatabase("TestData", "@GC_1M", info_symbol=[("TestData","@GC_30M")]) + + # Set parameters for strategy + d = {'atrLength': 11} + engine.initStrategy(Prototype, d) + + # 设置产品相关参数 + engine.setSlippage(0.2) # 股指1跳 + engine.setCommission(0.3 / 10000) # 万0.3 + engine.setSize(300) # 股指合约大小 + + # 开始跑回测 + start = time.time() + + engine.runBacktesting() + + # 显示回测结果 + engine.showBacktestingResult() + + print 'Time consumed:%s' % (time.time() - start) \ No newline at end of file diff --git a/vn.trader/ctaAlgo/tools/multiTimeFrame/strategyBreakOut.py b/vn.trader/ctaAlgo/tools/multiTimeFrame/strategyBreakOut.py new file mode 100644 index 00000000..3236ec0b --- /dev/null +++ b/vn.trader/ctaAlgo/tools/multiTimeFrame/strategyBreakOut.py @@ -0,0 +1,317 @@ +# encoding: UTF-8 +""" +This file tweaks ctaTemplate Module to suit multi-TimeFrame strategies. +""" + +from ctaBase import * +from ctaTemplate import CtaTemplate +import numpy as np + +######################################################################## +class BreakOut(CtaTemplate): + + """ + "infoArray" 字典是用来储存辅助品种信息的, 可以是同品种的不同分钟k线, 也可以是不同品种的价格。 + + 调用的方法: + 价格序列: + self.infoArray["数据库名 + 空格 + collection名"]["close"] + self.infoArray["数据库名 + 空格 + collection名"]["high"] + self.infoArray["数据库名 + 空格 + collection名"]["low"] + + 单个价格: + self.infoBar["数据库名 + 空格 + collection名"] + 返回的值为一个ctaBarData 或 None + """ + + #---------------------------------------------------------------------- + def __init__(self, ctaEngine, setting): + """日内突破交易策略, 出场方式非常多, 本文件使用指标出场""" + + className = 'BreakOut' + author = 'Joe' + super(BreakOut, self).__init__(ctaEngine, setting) + + # 设置辅助品种数据字典 + self.infoArray = {} + self.initInfobar = {} + self.infoBar = {} + + # 缓存数据量 + self.bufferSize = 100 + self.bufferCount = 0 + self.initDays = 10 + + # 设置参数 + self.pOBO_Mult = 0.5 # 计算突破点位 + # self.pProtMult = 2 # 止损的ATR倍数 + # self.pProfitMult = 2 # 止盈相对于止损的倍数 + # self.SlTp_On = False # 止损止盈功能 + # self.EODTime = 15 # 设置日内平仓时间 + + self.vOBO_stretch = EMPTY_FLOAT + self.vOBO_initialpoint = EMPTY_FLOAT + self.vOBO_level_L = EMPTY_FLOAT + self.vOBO_level_S = EMPTY_FLOAT + + self.orderList = [] + + # 参数列表,保存了参数的名称 + paramList = ['name', + 'className', + 'author', + 'pOBO_Mult', + 'pProtMult', + 'pProfitMult', + 'SlTp_On', + 'EODTime'] + + # 变量列表,保存了变量的名称 + varList = ['vOBO_stretch', + 'vOBO_initialpoint', + 'vOBO_level_L', + 'vOBO_level_S'] + + # ---------------------------------------------------------------------- + def onInit(self): + """初始化策略(必须由用户继承实现)""" + self.writeCtaLog(u'%s策略初始化' % self.name) + + # 载入历史数据,并采用回放计算的方式初始化策略数值 + initData = self.loadBar(self.initDays) + for bar in initData: + + # 推送新数据, 同时检查是否有information bar需要推送 + # Update new bar, check whether the Time Stamp matching any information bar + ibar = self.checkInfoBar(bar) + self.onBar(bar, infobar=ibar) + + self.putEvent() + + #---------------------------------------------------------------------- + def onStart(self): + """启动策略(必须由用户继承实现)""" + self.writeCtaLog(u'%s策略启动' %self.name) + self.putEvent() + + #---------------------------------------------------------------------- + def onStop(self): + """停止策略(必须由用户继承实现)""" + self.writeCtaLog(u'%s策略停止' %self.name) + self.putEvent() + + # ---------------------------------------------------------------------- + def checkInfoBar(self, bar): + """在初始化时, 检查辅助品种数据的推送(初始化结束后, 回测时不会调用)""" + + initInfoCursorDict = self.ctaEngine.initInfoCursor + + # 如果"initInfobar"字典为空, 初始化字典, 插入第一个数据 + # If dictionary "initInfobar" is empty, insert first data record + if self.initInfobar == {}: + for info_symbol in initInfoCursorDict: + try: + self.initInfobar[info_symbol] = next(initInfoCursorDict[info_symbol]) + except StopIteration: + print "Data of information symbols is empty! Input is a list, not str." + raise + + # 若有某一品种的 TimeStamp 和执行报价的 TimeStamp 匹配, 则将"initInfobar"中的数据推送, + # 然后更新该品种的数据 + # If any symbol's TimeStamp is matched with execution symbol's TimeStamp, return data + # in "initInfobar", and update new data. + temp = {} + for info_symbol in self.initInfobar: + + data = self.initInfobar[info_symbol] + + # Update data only when Time Stamp is matched + + if (data is not None) and (data['datetime'] <= bar.datetime): + + try: + temp[info_symbol] = CtaBarData() + temp[info_symbol].__dict__ = data + self.initInfobar[info_symbol] = next(initInfoCursorDict[info_symbol]) + except StopIteration: + self.initInfobar[info_symbol] = None + self.ctaEngine.output("No more data for initializing %s." % (info_symbol,)) + else: + temp[info_symbol] = None + + return temp + + # ---------------------------------------------------------------------- + def updateInfoArray(self, infobar): + """收到Infomation Data, 更新辅助品种缓存字典""" + + for name in infobar: + + data = infobar[name] + + # Construct empty array + if len(self.infoArray) < len(infobar) : + self.infoArray[name] = { + "close": np.zeros(self.bufferSize), + "high": np.zeros(self.bufferSize), + "low": np.zeros(self.bufferSize), + "open": np.zeros(self.bufferSize) + } + + if data is None: + pass + + else: + self.infoArray[name]["close"][0:self.bufferSize - 1] = \ + self.infoArray[name]["close"][1:self.bufferSize] + self.infoArray[name]["high"][0:self.bufferSize - 1] = \ + self.infoArray[name]["high"][1:self.bufferSize] + self.infoArray[name]["low"][0:self.bufferSize - 1] = \ + self.infoArray[name]["low"][1:self.bufferSize] + self.infoArray[name]["open"][0:self.bufferSize - 1] = \ + self.infoArray[name]["open"][1:self.bufferSize] + + self.infoArray[name]["close"][-1] = data.close + self.infoArray[name]["high"][-1] = data.high + self.infoArray[name]["low"][-1] = data.low + self.infoArray[name]["open"][-1] = data.open + + # ---------------------------------------------------------------------- + def onBar(self, bar, **kwargs): + """收到Bar推送(必须由用户继承实现)""" + + # Update infomation data + # "infobar"是由不同时间或不同品种的品种数据组成的字典, 如果和执行品种的 TimeStamp 不匹配, + # 则传入的是"None", 当time stamp和执行品种匹配时, 传入的是"Bar" + if "infobar" in kwargs: + self.infoBar = kwargs["infobar"] + self.updateInfoArray(kwargs["infobar"]) + + # 若读取的缓存数据不足, 不考虑交易 + self.bufferCount += 1 + if self.bufferCount < self.bufferSize: + return + + # 计算指标数值 + a = np.sum(self.infoArray["TestData @GC_1D"]["close"]) + if a == 0.0: + return + + # Only updating indicators when information bar changes + # 只有在30min或者1d K线更新后才更新指标 + TradeOn = False + if any([i is not None for i in self.infoBar]): + TradeOn = True + self.vRange = self.infoArray["TestData @GC_1D"]["high"][-1] -\ + self.infoArray["TestData @GC_1D"]["low"][-1] + self.vOBO_stretch = self.vRange * self.pOBO_Mult + self.vOBO_initialpoint = self.infoArray["TestData @GC_1D"]["close"][-1] + self.vOBO_level_L = self.vOBO_initialpoint + self.vOBO_stretch + self.vOBO_level_S = self.vOBO_initialpoint - self.vOBO_stretch + + self.atrValue30M = talib.abstract.ATR(self.infoArray["TestData @GC_30M"])[-1] + + # 判断是否要进行交易 + + # 当前无仓位 + if (self.pos == 0 and TradeOn == True): + + # 撤销之前发出的尚未成交的委托(包括限价单和停止单) + for orderID in self.orderList: + self.cancelOrder(orderID) + self.orderList = [] + + # 若上一个30分钟K线的最高价大于OBO_level_L + # 且当前的价格大于OBO_level_L, 则买入 + if self.infoArray["TestData @GC_30M"]["high"][-1] > self.vOBO_level_L: + + if bar.close > self.vOBO_level_L: + + self.buy(bar.close + 0.5, 1) + + # 下单后, 在下一个30Min K线之前不交易 + TradeOn = False + + # 若上一个30分钟K线的最高价低于OBO_level_S + # 且当前的价格小于OBO_level_S, 则卖出 + elif self.infoArray["TestData @GC_30M"]["low"][-1] < self.vOBO_level_S: + + if bar.close < self.vOBO_level_S: + + self.short(bar.close - 0.5, 1) + + # 下单后, 在下一个30Min K线之前不交易 + TradeOn = False + + # 持有多头仓位 + elif self.pos > 0: + + # 当价格低于initialpoint水平, 出场 + if bar.close < self.vOBO_initialpoint: + self.sell(bar.close - 0.5 , 1) + + # 持有空头仓位 + elif self.pos < 0: + + # 当价格高于initialpoint水平, 出场 + if bar.close > self.vOBO_initialpoint: + self.cover(bar.close + 0.5, 1) + + + # 发出状态更新事件 + self.putEvent() + + # ---------------------------------------------------------------------- + def onOrder(self, order): + """收到委托变化推送(必须由用户继承实现)""" + pass + + # ---------------------------------------------------------------------- + def onTrade(self, trade): + pass + + +if __name__ == '__main__': + # 提供直接双击回测的功能 + # 导入PyQt4的包是为了保证matplotlib使用PyQt4而不是PySide,防止初始化出错 + from ctaBacktestMultiTF import * + from PyQt4 import QtCore, QtGui + import time + + ''' + 创建回测引擎 + 设置引擎的回测模式为K线 + 设置回测用的数据起始日期 + 载入历史数据到引擎中 + 在引擎中创建策略对象 + + Create backtesting engine + Set backtest mode as "Bar" + Set "Start Date" of data range + Load historical data to engine + Create strategy instance in engine + ''' + engine = BacktestEngineMultiTF() + engine.setBacktestingMode(engine.BAR_MODE) + engine.setStartDate('20120101') + engine.setEndDate('20150101') + engine.setDatabase("TestData", "@GC_1M", info_symbol=[("TestData","@GC_30M"), + ("TestData","@GC_1D")]) + + # Set parameters for strategy + engine.initStrategy(BreakOut, {}) + + # 设置产品相关参数 + engine.setSlippage(0.2) # 股指1跳 + engine.setCommission(0.3 / 10000) # 万0.3 + engine.setSize(1) # 股指合约大小 + + # 开始跑回测 + start = time.time() + + engine.runBacktesting() + + # 显示回测结果 + engine.showBacktestingResult() + + print 'Time consumed:%s' % (time.time() - start) \ No newline at end of file

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