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Restricting pipeline universe of stocks?

Hi All,

Let's say I am interested in just 10 stocks that I have identified.

Now I want to run those 10 stocks through a pipeline involving say sentiment analysis. What is the most efficient way to do this?

I.e. by default quantopian pipelines seem to use every stock in the quantopian database. I guess one potential solution is to work with every stock, then use a for loop to pull out the 10 stocks of interest. But this sounds inefficient to me.

So, is there a way to restrict a pipeline's universe of stocks?

1 response

Hi Shuvro,

Here's an example custom filter by Scott that returns True only for stocks that are in a specified list. You could then use this filter as a mask and a screen to restrict factors' computation and the pipeline's output respectively to those stocks.

from quantopian.pipeline import Pipeline  
from quantopian.pipeline import CustomFilter  
from quantopian.research import run_pipeline

import numpy as np

def specific_assets_filter(assets):

    sids = set(map(int, assets))  
    is_my_sid = np.vectorize(lambda sid: sid in sids)

    class SpecificAssets(CustomFilter):  
        inputs = ()  
        window_length = 1  
        def compute(self, today, assets, out):  
            out[:] = is_my_sid(assets)

    return SpecificAssets()

p = Pipeline(columns={'AAPL_or_MSFT': specific_assets_filter(symbols(['AAPL', 'MSFT']))})  
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