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Sample algorithm question: Fundamental Data Algorithm

I am not clear with data in handle_data(context, data), what information data have?

Below is an example, in sample Fundamental Data Algorithm. Full code: https://www.quantopian.com/help#sample-fundamentals

Here context.fundamental_df are securities we want to buy. And before that we want to clear our position. The argument "data" is same as "data" in handle_data.

def rebalance(context, data):  
    # Exit all positions before starting new ones  
    for stock in context.portfolio.positions:  
        if stock not in context.fundamental_df and stock in data:  
            order_target_percent(stock, 0)  
     ... ...  

My question is in this line: if stock not in context.fundamental_df and stock in data:

Since if stock is in position, then it must also have been in our universe, then it is in data. So why we need to judge whether stock in data?

Thank you for your help!

3 responses

This line loops through all the stocks returned by the fundamentals query:

for stock in context.fundamental_df:  

However, some stocks are illiquid or might not trade every single minute. To protect ourselves, we need to check that we have data for this stock in this minute. Otherwise, we can't trade it. This guard checks that we have price information for the stock:

        if stock in data:  

Once we check that the stock is in our fundamentals query, and we have data for the stock, then we can trade it.

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So data only contains the information of securities in the universe we have set before?

That's right, "data" contains information for all securities in your algo universe