Evgeny “Jenia” Mozgunov of Caltech won an algorithmic trading competition hosted by Quantiacs. Jenia used machine learning tools to write his trading algorithm that now trades an initial $1M investment. In this video, he talks about his approach and lessons learned. Is this the future of Wall Street?
Machine learning is all the rage right now and a lot of people are wondering how it could be used in finance and trading. Used naively, machine learning poses a lot of risk. Learn why this is the case and also some good ways to use this technology carefully.
Here’s an interesting video about applying Markov Chains to map and understand stock-market behavior using the R programming language. By using 2 transition matrices instead of one, you can weigh the probability of a binary outcome.
Here’s an interesting documentary about “Quants,” or quantitative analysts, who do intense mathematical analysis of markets.