def main():
feed = csvfeed.GenericBarFeed(frequency=Frequency.MINUTE)
feed.addBarsFromCSV("BTC", "sampledata.csv")
# Evaluate the strategy with the feed's bars.
myStrategy = Accumulator(feed, "BTC", buy_offset=0.0, buy_percent=0.49)
# myStrategy.run()
returnsAnalyzer = returns.Returns()
myStrategy.attachAnalyzer(returnsAnalyzer)
tradesAnalyzer = trades.Trades()
myStrategy.attachAnalyzer(tradesAnalyzer)
plt = plotter.StrategyPlotter(myStrategy)
# Include the SMA in the instrument's subplot to get it displayed along with the closing prices.
plt.getInstrumentSubplot("BTC").addDataSeries("SMA", myStrategy.getSMA())
# Plot the simple returns on each bar.
plt.getOrCreateSubplot("returns").addDataSeries(
"Simple returns", returnsAnalyzer.getReturns())
# Run the strategy.
myStrategy.run()
myStrategy.info("Final portfolio value: $%.2f" % myStrategy.getResult())
# Plot the strategy.
plt.plot()
print("Final portfolio value: $%.2f" % myStrategy.getResult())
