This throws exception:
self.history = self.History([self.symbol], 504, Resolution.Daily).loc[self.symbol]['Adj. Close']
I am not using Quandl or Yahoo data.
Thanks in Advance
QUANTCONNECT COMMUNITY
This throws exception:
self.history = self.History([self.symbol], 504, Resolution.Daily).loc[self.symbol]['Adj. Close']
I am not using Quandl or Yahoo data.
Thanks in Advance
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Derek Melchin
Hi Kiran,
By default, our historical data is split and dividend adjusted. However, it is labeled as "close" in our `History` DataFrame, not "Adj. Close". Therefore, we just need to change the above line to
self.history = self.History([self.symbol], 504, Resolution.Daily).loc[self.symbol]['close']
It is possible to change the data normalization mode. I recommend reviewing our documentation on the topic before doing so. Additionally, consider completing some of our Bootcamp lessons to get familiar with our API.
Best,
Derek Melchin
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.
Kiran Reddy
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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