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So i have re run the algorithm with daily data and it does seem to work.
I am not sure why i cant run the algorithm on high resolution data though.
i understand that the higher the frequency of data means the fees are greater, however if we trust, that we have a well hedged portfolio this should not mater, as the algorithm should only exit when the portfolio is in profit net of fees? otherwise the symbols should stay in the market? is there a way to code these rules in?
To be honest I am not really understanding where the portfolio exits the market.
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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.
I addressed your concerns regarding asset-weighting using higher-resolution data in a different thread that you posted, so hopefully, that will help answer some of your questions. The way that the algorithm is designed to enter/exit positions is based on the 'mispricing index', which uses conditional probabilities of asset movement to determine if the assets are under-priced or over-priced based on their historical distributions. The algorithm doesn't take into account fees or whether it is net profit when it enters or exits a position, but rather it looks to take advantage of profit opportunities that might exist based on technical indicators. The algorithm can certainly be customized to account for these things, specifically using Portfolio and Securities objects, but as it is written the copula pair-trading algorithm relies solely on technical indicators.
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Edited by Jack Simonson
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.
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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