Leveraging Artificial Intelligence to Build Algorithmic Trading Strategies

Our guest speaker, Mr. Tad Slaff, CEO of Inovance had covered the following content in a 45-mins long presentation: 1. Strategy Development Applications - Indicator Selection - Pattern Recognition Algorithms - Association Rule Learning 2. Building a live strategy with TRAIDE It was a well-received webinar with attendees learning how to include machine learning algorithms in a live trading strategy. You can view webinar presentation slides at http://www.slideshare.net/QuantInsti/leveraging-artificial-intelligence-to-build-algorithmic-trading-strategies Additional Resources for Machine Learning: - http://www.quantinsti.com/blog/free-resources-learn-machine-learning-trading/ - https://www.youtube.com/watch?v=EXtyBHTplCs Finally, check out the QuantInsti’s Executive Program in Algorithmic Trading at www.quantinsti.com/courses/epat. You will find the course covers comprehensive trading in Algorithmic Trading, taught by some of the experts in this field. On our Youtube channel and blogs, get strategy ideas and downloadable models to get started trading immediately! If you would like more information about QuantInsti’s offerings, please write to us at contact@quantinsti.com Most Useful links Join EPAT – Executive Programme in Algorithmic Trading : https://goo.gl/3Oyf2B Visit us at: https://www.quantinsti.com/ Like us on Facebook: https://www.facebook.com/quantinsti/ Follow us on Twitter: https://twitter.com/QuantInsti

Comments

1. Is this a failed method or what? Traders have used it since 30 years ago. Where is the talk about data snooping bias? Most of these AI algo strategies are random due to data snooping. Read this article by an expert to understand why: http://www.priceactionlab.com/Blog/2012/06/fooled-by-randomness-through-selection-bias/
   
   and from this expert too: http://eranraviv.com/sample-data-snooping/
   
   My suggestions to traders: stay away from this approach.