Machine Learning Trading Essentials (Part 1): Financial Data Structures - Hudson & Thames

Trading in financial markets can be a challenging and complex endeavour, with ever-changing conditions and numerous factors to consider. With markets becoming increasingly competitive all the time, it is a never ending struggle to stay ahead of the curve. Machine learning (ML) has made several advances in recent years, particularly by becoming more accessible. One might think then why not use ML models in markets to challenge more traditional ways of trading? Well the answer is, unfortunately, that it is not so simple.