Hi everyone,
In this tutorial, we apply a gradient boosting model to predict intraday price moves when given a collection of technical indicators. The indicators we use are the RSI, MACD, and BB, but the algorithm is designed to allow for easy customization of these indicators. The backtest of the algorithm is shown below. For a thorough analysis of the strategy, check out the Strategy Library.
Best,
Derek Melchin
Derek Melchin
Hi Warren,
Welcome to QC!
When implementing this, utilizing the `Expiry.EndOfWeek` function will be helpful for creating insight durations. The source code is available here. To execute on the close, we need to create a custom execution model that creates MarketOnClose orders. For the 3 sub models above, I suggest taking advantage of our RollingWindow class.
I encourage continuing the bootcamp lessons. Then publish a backtest to the forum for assistance.
Best,
Derek Melchin
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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.
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