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I have been trying to pull FRED data from quandl using the following code.
# In Initialize
self.AddData(FRED, 'FRED/IPB52131N', Resolution.Daily)
class FRED(PythonQuandl):
'''Custom quandl data type for setting customized value column name. Value column is used for the primary trading calculations and charting.'''
def __init__(self):
self.ValueColumnName = "Value"
I'm trying to calculate the 12 month change of the index, but I keep running into errors "KeyError". I'm trying to run the Quandl data through self.History and slicing the Pandas dataframe.
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The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by QuantConnect. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. QuantConnect makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances. All investments involve risk, including loss of principal. You should consult with an investment professional before making any investment decisions.
Jing Wu
242.2k Pro
,
Quandl provides the monthly FRED data. If you don't set the fillDataForward to be true when you import the custom data, the key only exists in the slice at the month start day. Before retrieving the value, please add "data.ContainsKey('FRED/IPB52131N')" to check if the data exists. See the attached algorithm
0
Flame
5.5k Pro
,
Thanks Jing I'll have a play and see wha I come up with
The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by QuantConnect. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. QuantConnect makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances. All investments involve risk, including loss of principal. You should consult with an investment professional before making any investment decisions.
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