VHPP - Very High Probability Patterns
Partner: Advanced Analytics International,
U.S.A.
Concept: to reach very high probability of winning trades and very low draw down.
Special highly parallel multiclass support vector machine is being developed for this project.
This SVM will analyze hundreds of thousands features generated from intraday data feed.
Status: team has been formed from the best students of AICreates training course and research staff of DISFA Project.
Technologies: parallel SVM, images recognition, predictive filters. Code is written in C++.
Benefits: very high probability of winning trades is critical for creation of new generation of trading systems and optimal portfolio models, which have very good steady profit and low draw down.
Concept: to reach very high probability of winning trades and very low draw down.
Special highly parallel multiclass support vector machine is being developed for this project.
This SVM will analyze hundreds of thousands features generated from intraday data feed.
Status: team has been formed from the best students of AICreates training course and research staff of DISFA Project.
Technologies: parallel SVM, images recognition, predictive filters. Code is written in C++.
Benefits: very high probability of winning trades is critical for creation of new generation of trading systems and optimal portfolio models, which have very good steady profit and low draw down.
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