vnpy/examples/TurtleStrategy/turtleStrategy.py

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# encoding: UTF-8
from collections import defaultdict
from vnpy.trader.vtConstant import (DIRECTION_LONG, DIRECTION_SHORT,
OFFSET_OPEN, OFFSET_CLOSE)
from vnpy.trader.vtUtility import ArrayManager
MAX_PRODUCT_POS = 4 # 单品种最大持仓
MAX_DIRECTION_POS = 10 # 单方向最大持仓
########################################################################
class TurtleResult(object):
"""一次完整的开平交易"""
#----------------------------------------------------------------------
def __init__(self):
"""Constructor"""
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self.unit = 0
self.entry = 0 # 开仓均价
self.exit = 0 # 平仓均价
self.pnl = 0 # 盈亏
#----------------------------------------------------------------------
def open(self, price, change):
"""开仓或者加仓"""
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cost = self.unit * self.entry # 计算之前的开仓成本
cost += change * price # 加上新仓位的成本
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self.unit += change # 加上新仓位的数量
self.entry = cost / self.unit # 计算新的平均开仓成本
#----------------------------------------------------------------------
def close(self, price):
"""平仓"""
self.exit = price
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self.pnl = self.unit * (self.exit - self.entry)
########################################################################
class TurtleSignal(object):
"""海龟信号"""
#----------------------------------------------------------------------
def __init__(self, portfolio, vtSymbol,
entryWindow, exitWindow, atrWindow,
profitCheck=False):
"""Constructor"""
self.portfolio = portfolio # 投资组合
self.vtSymbol = vtSymbol # 合约代码
self.entryWindow = entryWindow # 入场通道周期数
self.exitWindow = exitWindow # 出场通道周期数
self.atrWindow = atrWindow # 计算ATR周期数
self.profitCheck = profitCheck # 是否检查上一笔盈利
self.am = ArrayManager(60) # K线容器
self.atrVolatility = 0 # ATR波动率
self.entryUp = 0 # 入场通道
self.entryDown = 0
self.exitUp = 0 # 出场通道
self.exitDown = 0
self.longEntry1 = 0 # 多头入场位
self.longEntry2 = 0
self.longEntry3 = 0
self.longEntry4 = 0
self.longStop = 0 # 多头止损位
self.shortEntry1 = 0 # 空头入场位
self.shortEntry2 = 0
self.shortEntry3 = 0
self.shortEntry4 = 0
self.shortStop = 0 # 空头止损位
self.unit = 0 # 信号持仓
self.result = None # 当前的交易
self.resultList = [] # 交易列表
self.bar = None # 最新K线
#----------------------------------------------------------------------
def onBar(self, bar):
""""""
self.bar = bar
self.am.updateBar(bar)
if not self.am.inited:
return
self.generateSignal(bar)
self.calculateIndicator()
#----------------------------------------------------------------------
def generateSignal(self, bar):
"""
判断交易信号
要注意在任何一个数据点buy/sell/short/cover只允许执行一类动作
"""
# 如果指标尚未初始化,则忽略
if not self.longEntry1:
return
# 优先检查平仓
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if self.unit > 0:
longExit = max(self.longStop, self.exitDown)
if bar.low <= longExit:
self.sell(longExit)
return
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elif self.unit < 0:
shortExit = min(self.shortStop, self.exitUp)
if bar.high >= shortExit:
self.cover(shortExit)
return
# 没有仓位或者持有多头仓位的时候,可以做多(加仓)
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if self.unit >= 0:
trade = False
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if bar.high >= self.longEntry1 and self.unit < 1:
self.buy(self.longEntry1, 1)
trade = True
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if bar.high >= self.longEntry2 and self.unit < 2:
self.buy(self.longEntry2, 1)
trade = True
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if bar.high >= self.longEntry3 and self.unit < 3:
self.buy(self.longEntry3, 1)
trade = True
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if bar.high >= self.longEntry4 and self.unit < 4:
self.buy(self.longEntry4, 1)
trade = True
if trade:
return
# 没有仓位或者持有空头仓位的时候,可以做空(加仓)
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if self.unit <= 0:
if bar.low <= self.shortEntry1 and self.unit > -1:
self.short(self.shortEntry1, 1)
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if bar.low <= self.shortEntry2 and self.unit > -2:
self.short(self.shortEntry2, 1)
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if bar.low <= self.shortEntry3 and self.unit > -3:
self.short(self.shortEntry3, 1)
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if bar.low <= self.shortEntry4 and self.unit > -4:
self.short(self.shortEntry4, 1)
#----------------------------------------------------------------------
def calculateIndicator(self):
"""计算技术指标"""
self.entryUp, self.entryDown = self.am.donchian(self.entryWindow)
self.exitUp, self.exitDown = self.am.donchian(self.exitWindow)
# 有持仓后ATR波动率和入场位等都不再变化
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if not self.unit:
self.atrVolatility = self.am.atr(self.atrWindow)
self.longEntry1 = self.entryUp
self.longEntry2 = self.entryUp + self.atrVolatility * 0.5
self.longEntry3 = self.entryUp + self.atrVolatility * 1
self.longEntry4 = self.entryUp + self.atrVolatility * 1.5
self.shortEntry1 = self.entryDown
self.shortEntry2 = self.entryDown - self.atrVolatility * 0.5
self.shortEntry3 = self.entryDown - self.atrVolatility * 1
self.shortEntry4 = self.entryDown - self.atrVolatility * 1.5
#----------------------------------------------------------------------
def newSignal(self, direction, offset, price, volume):
""""""
self.portfolio.newSignal(self, direction, offset, price, volume)
#----------------------------------------------------------------------
def buy(self, price, volume):
"""买入开仓"""
price = self.calculateTradePrice(DIRECTION_LONG, price)
self.open(price, volume)
self.newSignal(DIRECTION_LONG, OFFSET_OPEN, price, volume)
# 以最后一次加仓价格加上两倍N计算止损
self.longStop = price - self.atrVolatility * 2
#----------------------------------------------------------------------
def sell(self, price):
"""卖出平仓"""
price = self.calculateTradePrice(DIRECTION_SHORT, price)
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volume = abs(self.unit)
self.close(price)
self.newSignal(DIRECTION_SHORT, OFFSET_CLOSE, price, volume)
#----------------------------------------------------------------------
def short(self, price, volume):
"""卖出开仓"""
price = self.calculateTradePrice(DIRECTION_SHORT, price)
self.open(price, -volume)
self.newSignal(DIRECTION_SHORT, OFFSET_OPEN, price, volume)
# 以最后一次加仓价格加上两倍N计算止损
self.shortStop = price + self.atrVolatility * 2
#----------------------------------------------------------------------
def cover(self, price):
"""买入平仓"""
price = self.calculateTradePrice(DIRECTION_LONG, price)
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volume = abs(self.unit)
self.close(price)
self.newSignal(DIRECTION_LONG, OFFSET_CLOSE, price, volume)
#----------------------------------------------------------------------
def open(self, price, change):
"""开仓"""
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self.unit += change
if not self.result:
self.result = TurtleResult()
self.result.open(price, change)
#----------------------------------------------------------------------
def close(self, price):
"""平仓"""
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self.unit = 0
self.result.close(price)
self.resultList.append(self.result)
self.result = None
#----------------------------------------------------------------------
def getLastPnl(self):
"""获取上一笔交易的盈亏"""
if not self.resultList:
return 0
result = self.resultList[-1]
return result.pnl
#----------------------------------------------------------------------
def calculateTradePrice(self, direction, price):
"""计算成交价格"""
# 买入时停止单成交的最优价格不能低于当前K线开盘价
if direction == DIRECTION_LONG:
tradePrice = max(self.bar.open, price)
# 卖出时停止单成交的最优价格不能高于当前K线开盘价
else:
tradePrice = min(self.bar.open, price)
return tradePrice
########################################################################
class TurtlePortfolio(object):
"""海龟组合"""
#----------------------------------------------------------------------
def __init__(self, engine):
"""Constructor"""
self.engine = engine
self.signalDict = defaultdict(list)
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self.unitDict = {} # 每个品种的持仓情况
self.totalLong = 0 # 总的多头持仓
self.totalShort = 0 # 总的空头持仓
self.tradingDict = {} # 交易中的信号字典
self.sizeDict = {} # 合约大小字典
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self.multiplierDict = {} # 按照波动幅度计算的委托量单位字典
self.posDict = {} # 真实持仓量字典
self.portfolioValue = 0 # 组合市值
#----------------------------------------------------------------------
def init(self, portfolioValue, vtSymbolList, sizeDict):
""""""
self.portfolioValue = portfolioValue
self.sizeDict = sizeDict
for vtSymbol in vtSymbolList:
signal1 = TurtleSignal(self, vtSymbol, 20, 10, 20, True)
signal2 = TurtleSignal(self, vtSymbol, 55, 20, 20, False)
l = self.signalDict[vtSymbol]
l.append(signal1)
l.append(signal2)
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self.unitDict[vtSymbol] = 0
self.posDict[vtSymbol] = 0
#----------------------------------------------------------------------
def onBar(self, bar):
""""""
for signal in self.signalDict[bar.vtSymbol]:
signal.onBar(bar)
#----------------------------------------------------------------------
def newSignal(self, signal, direction, offset, price, volume):
"""对交易信号进行过滤,符合条件的才发单执行"""
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unit = self.unitDict[signal.vtSymbol]
# 如果当前无仓位,则重新根据波动幅度计算委托量单位
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if not unit:
size = self.sizeDict[signal.vtSymbol]
riskValue = self.portfolioValue * 0.01
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multiplier = riskValue / (signal.atrVolatility * size)
multiplier = int(round(multiplier, 0))
self.multiplierDict[signal.vtSymbol] = multiplier
else:
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multiplier = self.multiplierDict[signal.vtSymbol]
# 开仓
if offset == OFFSET_OPEN:
# 检查上一次是否为盈利
if signal.profitCheck:
pnl = signal.getLastPnl()
if pnl > 0:
return
# 买入
if direction == DIRECTION_LONG:
# 组合持仓不能超过上限
if self.totalLong >= MAX_DIRECTION_POS:
return
# 单品种持仓不能超过上限
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if self.unitDict[signal.vtSymbol] >= MAX_PRODUCT_POS:
return
# 卖出
else:
if self.totalShort <= -MAX_DIRECTION_POS:
return
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if self.unitDict[signal.vtSymbol] <= -MAX_PRODUCT_POS:
return
# 平仓
else:
if direction == DIRECTION_LONG:
# 必须有空头持仓
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if unit >= 0:
return
# 平仓数量不能超过空头持仓
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volume = min(volume, abs(unit))
else:
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if unit <= 0:
return
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volume = min(volume, abs(unit))
# 获取当前交易中的信号,如果不是本信号,则忽略
currentSignal = self.tradingDict.get(signal.vtSymbol, None)
if currentSignal and currentSignal is not signal:
return
# 开仓则缓存该信号的交易状态
if offset == OFFSET_OPEN:
self.tradingDict[signal.vtSymbol] = signal
# 平仓则清除该信号
else:
self.tradingDict.pop(signal.vtSymbol)
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self.sendOrder(signal.vtSymbol, direction, offset, price, volume, multiplier)
#----------------------------------------------------------------------
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def sendOrder(self, vtSymbol, direction, offset, price, volume, multiplier):
""""""
# 计算合约持仓
if direction == DIRECTION_LONG:
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self.unitDict[vtSymbol] += volume
self.posDict[vtSymbol] += volume * multiplier
else:
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self.unitDict[vtSymbol] -= volume
self.posDict[vtSymbol] -= volume * multiplier
# 计算总持仓
self.totalLong = 0
self.totalShort = 0
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for unit in self.unitDict.values():
if unit > 0:
self.totalLong += unit
elif unit < 0:
self.totalShort += unit
# 向回测引擎中发单记录
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self.engine.sendOrder(vtSymbol, direction, offset, price, volume*multiplier)