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 ...
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 ...
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 ...
PARIS, Nov. 17, 2025 (GLOBE NEWSWIRE) -- Looplly.ai announced today the introduction of an advanced AI-based trade signal platform built to analyze vast data streams in real time. The solution ...
UBS has developed a state-of-the-art machine learning (ML) technique to search for patterns in data that skew the outcome of passive order placement on equities venues towards higher fill rates, lower ...
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 ...
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 ...
Mike Sobel, president of Trumid, tells WatersTechnology that LTS aggregates both exogenous information (i.e. market data) and Trumid's endogenous data (i.e. users' watchlists, indications of interest ...
A ccontainer vessel leaves the port in Singapore on July 16, 2020. - Singapore's economy shrank more than 40 percent in the second quarter as the coronavirus plunged the Southeast Asian financial hub ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback