from pyalgotrade import strategy
from pyalgotrade import plotter
from pyalgotrade.tools import yahoofinance
from pyalgotrade.technical import vwap
class MyStrategy(strategy.BacktestingStrategy):
def __init__(self, feed, instrument, vwapWindowSize):
strategy.BacktestingStrategy.__init__(self, feed)
self.__instrument = instrument
self.__vwap = vwap.VWAP(feed[instrument], vwapWindowSize)
def getVWAPDS(self):
return self.__vwap
def onBars(self, bars):
vwap = self.__vwap[-1]
if vwap is None:
return
shares = self.getBroker().getShares(self.__instrument)
price = bars[self.__instrument].getClose()
notional = shares * price
if price < vwap * 0.995 and notional > 0:
self.marketOrder(self.__instrument, -100)
elif price > vwap * 1.005 and notional < 1000000:
self.marketOrder(self.__instrument, 100)
def main(plot):
instrument = "aapl"
vwapWindowSize = 5
# Download the bars.
feed = yahoofinance.build_feed([instrument], 2011, 2012, ".")
myStrategy = MyStrategy(feed, instrument, vwapWindowSize)
if plot:
plt = plotter.StrategyPlotter(myStrategy, True, False, True)
plt.getInstrumentSubplot(instrument).addDataSeries("vwap", myStrategy.getVWAPDS())
myStrategy.run()
print "Result: %.2f" % myStrategy.getResult()
if plot:
plt.plot()
if __name__ == "__main__":
main(True)
this is what the output should look like:
2013-09-21 00:01:23,813 yahoofinance [INFO] Creating data directory
2013-09-21 00:01:23,814 yahoofinance [INFO] Downloading aapl 2011 to data/aapl-2011-yahoofinance.csv
2013-09-21 00:01:25,275 yahoofinance [INFO] Downloading aapl 2012 to data/aapl-2012-yahoofinance.csv
Result: 1436098.00
and this is what the plot should look like:
you can get better returns by tunning the VWAP period as well as the entry and exit points.