Machine Learning News & Topics for Quantitative Trading and Algorithmic Development

Machine Learning (ML) is the evolution of artificial intelligence where the computer (program) works with data to discover patterns (also called features) that can be used later to evaluate other data.  ML is typically broken down into three categories: supervised ML, unsupervised ML, and reinforcement learning.

CloudQuant does enable Machine Learning. To learn more check out “An Intro to Machine Learning with CloudQuant and Jupyter Notebooks” by Trevor Trinkino. This post and video cover one quantitative trader’s approach to supervised ML.


Battle of the Quants June 2017

Battle of The Quants - Discusses Crowd Researching in NY

Crowdsourcing in fund management and trading is the move to utilize anyone with an internet connection to participate in the research with the goal of finding new and better ways of trading. During the discussion the differing approaches being taken with the business models, and the technology, and the challenges each are facing.
Python based Trading Strategies by Machine Learning

Trading Strategy development—Powered by Machine Learning

Join us at the NY MarketsWiki Education to hear Morgan Slade’s thoughts on the The Algorithmic Trading Tesseract brings cloud computing, alternative data, machine learning, and crowd researchers together forming a revolutionary crowd in the financial industry.
Quantitative Strategy, Trading, and Algo Development Industry News

An Index-Fund Evangelist Is Straying From His Gospel

... Maybe the experts can beat the monkeys after all. That is, if the experts are software engineers writing sophisticated algorithms for computer-generated trading. ...
Stock Market, Quantitative Strategy, Trading, and Algo Development Industry News

Social Sentiment in Trading Algorithms

Bloomberg recently wrote that “It’s no secret that hedge fund managers are always looking for new sources of data that will help them in their never-ending quest to beat the market.” (1) One of the most interesting new sources of data is social sentiment.
Stock Market, Quantitative Strategy, Trading, and Algo Development Industry News

Machine learning set to shake up equity hedge funds - Financial Times

... the model of hedge funds charging “2 and 20” — a 2 per cent management fee and 20 per cent performance fee — for investing in large-cap stocks rising and falling “doesn’t work any more” and is ripe for disruption.