我正在与Pyalgotrade一起测试python的交易策略。Pyalgotrade允许使用一个名为called的库,这是一个技术分析库。由于某些原因,当我使用PPO指示器时,它会返回"None“。该指示器包含一些参数:(http://gbeced.github.io/pyalgotrade/docs/v0.12/html/talib.html)
我提供了一个输出片段,目前这只是当天的收盘价,以及这个指标的产出。“‘DDD”是我一直在测试的代码。
我一直在努力让这件事起作用的时间比我想承认的要长。我怎么才能解决这个问题?
产出:
2016-11-08 00:00:00 strategy [INFO] 13.56,None
2016-11-09 00:00:00 strategy [INFO] 13.77,None
2016-11-10 00:00:00 strategy [INFO] 14.06,None
2016-11-11 00:00:00 strategy [INFO] 14.71,None
2016-11-14 00:00:00 strategy [INFO] 14.3,None
2016-11-15 00:00:00 strategy [INFO] 13.91,None这是我的密码:
from pyalgotrade import strategy
from pyalgotrade.tools import yahoofinance
from pyalgotrade import talibext
from pyalgotrade.talibext import indicator
import talib
import numpy
class MyStrategy(strategy.BacktestingStrategy):
def __init__(self, feed, instrument):
super(MyStrategy, self).__init__(feed, 1000)
self.__position = None
self.__instrument = instrument
self.setUseAdjustedValues(True)
self.__prices = feed[instrument].getPriceDataSeries()
self.__PPO = talibext.indicator.PPO(feed,0,12,26,9)
def onEnterOk(self, position):
execInfo = position.getEntryOrder().getExecutionInfo()
self.info("BUY at $%.2f" % (execInfo.getPrice()))
def onEnterCanceled(self, position):
self.__position = None
def onExitOk(self, position):
execInfo = position.getExitOrder().getExecutionInfo()
self.info("SELL at $%.2f" % (execInfo.getPrice()))
self.__position = None
def onExitCanceled(self, position):
# If the exit was canceled, re-submit it.
self.__position.exitMarket()
def onBars(self, bars):
bar = bars[self.__instrument]
self.info("%s,%s" % (bar.getClose(),self.__PPO))
def run_strategy(inst):
# Load the yahoo feed from the CSV file
feed = yahoofinance.build_feed([inst],2015,2016, ".")
# Evaluate the strategy with the feed.
myStrategy = MyStrategy(feed, inst)
myStrategy.run()
print "Final portfolio value: $%.2f" % myStrategy.getBroker().getEquity()
def main():
instruments = ['ddd']
for inst in instruments:
run_strategy(inst)
if __name__ == '__main__':
main()发布于 2016-11-17 05:08:27
你传递的参数是错误的。这是PPO函数签名:
def PPO(ds, count, fastperiod=-2**31, slowperiod=-2**31, matype=0):ds类型为BarDataSeries,count指定要计算尾部的数据长度。如果计算成功,它将返回一个numpy array。
而talibext指示器只计算一次,在输入新条时不会计算新结果。
因此,您需要在每个onBars调用中计算PPO。
def __init__(self, feed, instrument):
...
self.__feed = feed
def onBars(self, bars):
feed = self.__feed
self.__PPO = talibext.indicator.PPO(feed[self.__instrument], len(feed[self.__instrument]),12,26, matype=0)
bar = bars[self.__instrument]
self.info("%s,%s" % (bar.getClose(),self.__PPO[-1]))https://stackoverflow.com/questions/40644122
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