Backtrader library

from datetime import datetime
import backtrader as bt

# Create a subclass of SignaStrategy to define the indicators and signals

class SmaCross(bt.SignalStrategy):
    # list of parameters which are configurable for the strategy
    params = dict(
        pfast=10,  # period for the fast moving average
        pslow=30   # period for the slow moving average
    )

    def __init__(self):
        sma1 = bt.ind.SMA(period=self.p.pfast)  # fast moving average
        sma2 = bt.ind.SMA(period=self.p.pslow)  # slow moving average
        crossover = bt.ind.CrossOver(sma1, sma2)  # crossover signal
        self.signal_add(bt.SIGNAL_LONG, crossover)  # use it as LONG signal


cerebro = bt.Cerebro()  # create a "Cerebro" engine instance

# Create a data feed
data = bt.feeds.YahooFinanceData(dataname='MSFT',
                                 fromdate=datetime(2011, 1, 1),
                                 todate=datetime(2012, 12, 31))

cerebro.adddata(data)  # Add the data feed

cerebro.addstrategy(SmaCross)  # Add the trading strategy
cerebro.run()  # run it all
cerebro.plot()  # and plot it with a single command