Adds recorded variable to dual moving average example.

Attr: Thomas Wiecki <thomas.wiecki@gmail.com> (@twiecki)
This commit is contained in:
Eddie Hebert
2013-01-31 08:11:01 -05:00
parent 81337d1306
commit c298cfda03
+21 -15
View File
@@ -42,33 +42,39 @@ class DualMovingAverage(TradingAlgorithm):
# To keep track of whether we invested in the stock or not
self.invested = False
self.short_mavgs = []
self.long_mavgs = []
self.record_variables(['short_mavg', 'long_mavg', 'buy', 'sell'])
def handle_data(self, data):
short_mavg = data['AAPL'].short_mavg['price']
long_mavg = data['AAPL'].long_mavg['price']
if short_mavg > long_mavg and not self.invested:
self.short_mavg = data['AAPL'].short_mavg['price']
self.long_mavg = data['AAPL'].long_mavg['price']
self.buy = False
self.sell = False
if self.short_mavg > self.long_mavg and not self.invested:
self.order('AAPL', 100)
self.invested = True
elif short_mavg < long_mavg and self.invested:
self.buy = True
elif self.short_mavg < self.long_mavg and self.invested:
self.order('AAPL', -100)
self.invested = False
# Save mavgs for later analysis.
self.short_mavgs.append(short_mavg)
self.long_mavgs.append(long_mavg)
self.sell = True
if __name__ == '__main__':
data = load_from_yahoo(stocks=['AAPL'], indexes={})
dma = DualMovingAverage()
results = dma.run(data)
print results.short_mavg
fig = plt.figure()
ax1 = fig.add_subplot(211)
results.portfolio_value.plot(ax=ax1)
results.portfolio_value.plot()
ax2 = fig.add_subplot(212)
data['AAPL'].plot(ax=ax2)
results[['short_mavg', 'long_mavg']].plot(ax=ax2)
data['short'] = dma.short_mavgs
data['long'] = dma.long_mavgs
data[['AAPL', 'short', 'long']].plot()
ax2.plot(results.ix[results.buy].index, results.short_mavg[results.buy],
'^', markersize=10, color='m')
ax2.plot(results.ix[results.sell].index, results.short_mavg[results.sell],
'v', markersize=10, color='k')
plt.legend(loc=0)
plt.show()