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Simple Moving Average N Days ago

I'm attempting to get the 200 day moving average from x number of days ago. Is there a simple way to do this with Pipeline (e.g. provide a date to look up the SMA)?

mean_200 = SimpleMovingAverage(inputs=[USEquityPricing.close], window_length=200, today.replace(day = -5))  
4 responses

Hi Brian, right now there isn't a simple way built into Pipeline to do this. However, it is possible to do this with a custom factor. Here's a quick example:

import numpy as np

def offset_sma_factor(days, **kwargs):  
    kwargs['window_length'] += days  
    class OffsetSMA(CustomFactor):  
        def compute(self, today, assets, out, values):  
            out[:] = np.nanmean(values[:-days], axis=0)  
    return OffsetSMA(**kwargs)  

To use the above you just call the function with the day offset (5 in the case of your example) and the other keyword arguments, like this:

mean_200 = offset_returns_factor(5, inputs=[USEquityPricing.close], window_length=200)  

Let me know if this works for you!

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Thanks for your help!

I'm not sure what it's doing but I'm getting the same value 200 Day SMA n day value for each security. Is it possible that it's averaging all 200 day SMAs from n days ago in the list and returning that value?

My bad, Brian, for nanmean you need to specify the keyword argument axis=0. So:

out[:] = np.nanmean(values[:-days], axis=0)  

That worked out great. Thanks!