But before jumping into our first set of machine learning applications in this post, I should probably justify why I think machine learning holds such promise for improving trading-related processes ...

The advent of the era in terms of machine learning in crypto trading is the new major in data-driven decision making process as algorithms are searching for accuracy along with risk management.

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 ...

Despite years of hype, only now does a new study suggest machine learning can crack trading, raising further questions for the future of finance and the part humans will play.

Machine learning is a wonderful basket of tools that can be used to sharpen your trading, which can be a significant competitive advantage. Today, we notice several initiatives on different avenues.

Investing and trading are activities that can benefit quite a lot from automation. In fact, using artificial intelligence and machine learning can be very handy here, to the point where you can ...

UBS-developed machine learning techniques have been successfully employed to make context-aware adjustments in routing behaviour to extract value from differences in venue-placement for its cash ...

WatersTechnology looks at 16 projects in the capital markets that involve machine learning to show where the industry is heading.

Dow Chemical is in the midst of a digital transformation. They have set up Centers to test out new and emerging technologies. They have had success in developing a solution for trade classification.

LOS ANGELES, CA / ACCESS Newswire / September 9, 2025 / The machine learning market reached $204.30 billion in 2024 and is projected to reach $528.10 billion by 2030; however, 80% of machine learning ...