Hi everyone,
I wanted to share a simple algorithm that uses the mean of sentiment overtime to make trades. It longs a stock if the current sentiment is 10% or more above the average sentiment and shorts if the current sentiment is less than -1. The keywords from the Bootcamp were used as a quick input, but I recommend researching industry-specific keywords to maximize alpha.
A manual universe was used for quicker backtesting, but you can also build a dynamic universe selection model that picks "trending" stocks. Keep in mind when creating a universe for this alpha, be sure to pick stocks that have relatively consistent articles.
If anyone wants to use this algorithm as a template for further development, feel free.
Cheers,
Jovad
Jared Broad
Fun strategy Jovad Uribe!
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.
Emiliano Fraticelli
Does this strategy qualify for the current alpha competition ?
Derek Melchin
Hi Emiliano,
The strategy doesn't currently qualify because it fails to meet some metrics for Alpha Streams. For instance, the PSR is < 80%. See the qualifications for Alpha Streams in our documentation. A list of all the requirements for the Quant League competition is available here.
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.
Jovad Uribe
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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