Statistically Sound Machine Learning for Algorithmic Trading of Financial Instruments - PDFMachine learning ML is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for gen. High-order hidden Markov model is known to be more powerful than first-order hidden Markov model and has been applied to a variety of fields. How to better train high-order hidden Markov model is a question of common interest.
[Read PDF] Statistically Sound Machine Learning for Algorithmic Trading of Financial Instruments:
Few tutorials actually tell you how to apply them to your algorithmic trading strategies in an end-to-end fashion. There are hundreds of textbooks, research papers, blogs and forum posts on time series analysis, econometrics, machine learning and Bayesian statistics. What about practical implementation? How do you use that method for your strategy? How do you actually program up that formula in software? It provides real world application of time series analysis, statistical machine learning and Bayesian statistics, to directly produce profitable trading strategies with freely available open source software.