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How to store a calculated % change list for future use?

Hi guys,

I am trying to build a simple algorithm(as a start!), in which I would like to calculate the % change of two stocks then save them into a list. As a test, I try to print out the calculated change in the log but it does not work.

The following is my code:

def initialize(context):  
   context.stocks = symbols('DIA',  # SPDR Dow Jones Industrial Average ETF  
                           'SPY',  # SPDR S&P 500 ETF)

def handle_data(context, data):  
    prices = history(100, '1d', 'price', ffill=True)    

    print context.pre  
def returns(context,data):  
    for i in len(context.stocks):  
        price_cur = prices[context.stocks[i]][len(context.stocks)-1]  
        price_pre = prices[context.stocks[i]][len(context.stocks)-1-n_short]  
        context.pre=(price_cur-price_pre)/price_pre

Can any one tell what is wrong with the code? Thanks so much!

2 responses

You're looking for the "pct_change" function in pandas, take a look at this example: https://www.quantopian.com/posts/how-to-get-biggest-movers-from-n-days-ago

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Hi Alisa,

Thanks so much!!