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Notebook kernel dies with morningstar data???

The following code just sits there for about 5 minutes and then aborts. It will work without the morningstar data.

from quantopian.pipeline import Pipeline
from quantopian.pipeline import CustomFactor
from quantopian.research import run_pipeline
from quantopian.pipeline.data import morningstar
from quantopian.pipeline.data.builtin import USEquityPricing
from scipy import stats

import math

class Momentum(CustomFactor):
# Pre-declare inputs and window_length
window_length = 3200
inputs = [USEquityPricing.close, morningstar.valuation_ratios.earning_yield]

def compute(self, today, assets, out, close, earning_yield):  

    print (close[5,100])  
    print (earning_yield[100,5] )  

momentum = Momentum()
pipe = Pipeline()

pipe.add(momentum, 'momentum')
run_pipeline(pipe, start_date='2015-11-01', end_date='2015-11-02')

1 response

Hi Greg,

This is occurring because your window_length is so long. When loading so much data, the request will either time out or run out of memory. If you reduce the window length (hopefully below 500, but lower is better), the performance will be improved, and the request should succeed.

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