QUANTCONNECT COMMUNITY
Hello Support Team ,
I was trying to warmup the indicators I use in one of my strategies but I wasn't able to do so because of the following exception:
During the algorithm initialization, the following exception has occurred: InvalidOperationException : We were unable to locate the ticker 'TLT'.
I wanted to attach a backtest, but the form says "No Backtests Found" (perhaps because the algorithm fails to start?).
Could you please have a look? Thank you!
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.
QuantConnect™ 2024. All Rights Reserved
|
|
Share New Research 
Liu Jin
I have managed to fix the problem by doing this in the Initialize() function:
for t in self.tickers: s = self.algorithm.AddEquity(t, self.dataResolution) history = self.algorithm.History(self.tickers, period, self.indicatorsResolution) for t in self.tickers: s = self.algorithm.Securities[t] self.symbolsDict[t] = CustomSymbol(self, t, s, period, self.indicatorsResolution, maxLeverage=self.maxLeverage, warmup_history=history)instead of:
history = self.algorithm.History(self.tickers, period, self.indicatorsResolution) for t in self.tickers: s = self.algorithm.AddEquity(t, self.dataResolution) self.symbolsDict[t] = CustomSymbol(self, t, s, period, self.indicatorsResolution, maxLeverage=self.maxLeverage, warmup_history=history)Liu Jin
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.
To unlock posting to the community forums please complete at least 30% of Boot Camp.
You can continue your Boot Camp training progress from the terminal. We hope to see you in the community soon!