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A call such as
qb = QuantBook() begin = datetime(2009,2,27) end = datetime.now() stocks = ["AAPL","MSFT","ADBE","IBM","BRK.B"] data = qb.GetFundamental(stocks, 'ValuationRatios.EVToEBIT3YrAvg' ,begin,end).fillna(method='ffill') df = data.apply(pd.to_numeric)
should return a data frame of values. This problem exists for a number of ValuationRatios class members, the full extent of which is unknown.
The above call returns the dataframe
AAPL R735QTJ8XC9X MSFT R735QTJ8XC9X ADBE R735QTJ8XC9X \ 2009-02-27 0.0 0.0 0.0 2009-02-28 0.0 0.0 0.0 2009-03-02 0.0 0.0 0.0 2009-03-31 0.0 0.0 0.0 2009-04-03 0.0 0.0 0.0 IBM R735QTJ8XC9X BRKB R735QTJ8XC9X 2009-02-27 0.0 0.0 2009-02-28 0.0 0.0 2009-03-02 0.0 0.0 2009-03-31 0.0 0.0 2009-04-03 0.0 0.0
where all entries are 0
Code snippet above can reproduce the problem, or see this notebook: https://www.quantconnect.com/research/8d474cf62e3f2fd72bf8891abafa7f0a
master
The text was updated successfully, but these errors were encountered:
It seems that now BRK.B is the only one returning 0 for the first years of data. I think this is more a data issue? @Jay-Jay-D @simonsonjack
BRK.B
0
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Expected Behavior
A call such as
should return a data frame of values. This problem exists for a number of ValuationRatios class members, the full extent of which is unknown.
Actual Behavior
The above call returns the dataframe
where all entries are 0
Potential Solution
Reproducing the Problem
Code snippet above can reproduce the problem, or see this notebook: https://www.quantconnect.com/research/8d474cf62e3f2fd72bf8891abafa7f0a
Checklist
master
branchThe text was updated successfully, but these errors were encountered: