python quantopian 2 buy & sell

simulate trade performance based on python algorithm

def initialize(context):

    context.aapl = sid(24)

    

def handle_data(context, data):

    hist = data.history(context.aapl, 'price', 50, '1d')

    log.info(hist)

    #last 50 day average

    sma_50 = hist.mean()

    #last 20 day average

    sma_20 = hist[-20:].mean()

    

    if sma_20 > sma_50:

       #buy apple with all money

       order_target_percent(context.aapl, 1.0)

           

    elif sma_50 > sma_20:

       #sell all apple share

       order_target_percent(context.aapl, -1.0)

reference:

https://www.youtube.com/watch?v=H5LLJDJ3jTI&list=PLQVvvaa0QuDcOdF96TBtRtuQksErCEBYZ&index=14