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ValueError: invalid literal for int() with base 10

Hi all,
I am new to coding and still learning the ins and out. So I created a pipeline that filters stock based on the volatility and volume. With that, I wanted to get the past history of the stocks from the pipeline such that I am able to create a logic to buy based off MACD signals as well as trailing stop losses.
However, I encountered the error 'ValueError: invalid literal for int() with base 10' when trying to get the past price history as seen in the code below. Does anyone have a solution to this? Thanks so much in advance!

    fast=12  
    slow=26  
    sig=9  
    period = fast+slow+sig  
    stk = []  
    for stock in result.index:  
        stk.append(stock.symbol)  
    print (stk)  
    prices = data.history(stk, 'price', bar_count= period, frequency='1d')  
2 responses

The data.history method expects an asset or an iterable (eg a list or series) of assets. An asset is an object. It's not the ticker symbol. In the code above stk is just a list of symbols. Assuming result.index is the index of a pipeline, that is all you need. It's already the asset objects and can be iterated. So, something like this should work

    prices = data.history(result.index, 'price', bar_count= period, frequency='1d')  

There is no need to create a separate list and the following code can be deleted

    for stock in result.index:  
        stk.append(stock.symbol)

There is more detail on the data.history method in the docs. Check it out here.

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Works! Thanks so much Dan. You're a life saver!