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Hi guys!
what I'm trying to do is to create a dynamic universe selection (probable using fine coarse selection?) that loads a all the symbol in a market, warms them up and and return those that are matching the SMA condition (at this point any condition)
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Armin Ranjbar
Also a note that SmaCrossUniverseSelectionAlgorithm.py doesn't seem to run on current engine.
Xin Wei
Hi Armin,
Thank you for the note. If you remove the subscription to IBM:
ibm = self.AddEquity("IBM", Resolution.Tick).Symbol ibmSma = self.SMA(ibm, 40) self.Log(f"{ibmSma.Name}: {ibmSma.Current.Time} - {ibmSma}. IsReady? {ibmSma.IsReady}")It will run without runtime errors. I've attached a backtest that runs successfully. I hope this demonstration algorithm also addresses your original question.
Armin Ranjbar
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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