In this and future posts, I thought it might be useful to provide some real-world applications of machine learning in a trading context. Because machine learning is such a broad topic, I am going to ...

A new academic paper, Machine Learning for Trading, is the first conclusive study that shows success in having a machine learning-based trading strategy. The author, Gordon Ritter, Adjunct Professor ...

MACHINE-LEARNING is beginning to shake up finance. A subset of artificial intelligence (AI) that excels at finding patterns and making predictions, it used to be the preserve of technology firms. The ...

Patrick Gruhn and Robin Matzke were the co-founders of Digital Assets, which was acquired by FTX’s Sam Bankman Fried in 2021 ...

Briefly describe your firm, and your own professional background? Quantology Capital Management is a leading French asset manager specializing in quantitative finance. We manage three listed ...

Reinforcement learning frames trading as a sequential decision-making problem, where an agent observes market conditions, ...

The world of trading is an immensely complex place, with investors deploying a range of different strategies to try and maximise their profits. In this digital age, technology has only furthered the ...

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

Artificial intelligence has become a core component across trading desks, data platforms, and execution systems in the crypto ...

Asia Pacific equity trading desk at JP Morgan Asset Management is seeking to have 50% of trading flow driven by machine learning by the end of the year. JP Morgan Asset Management’s equity trading ...