Man AHL’s chief scientist says machine learned trading suited to the ‘tiny edge’

Oxford University is home to AHL’s labs. Sang Tan Machine-learned trading systems developed by the world’s largest listed hedge fund, Man Group, are not going to make big, bold bets on financial markets because they are better suited to spreading risk over lots of smaller ideas. Anthony Ledford, who is the chief scientist at Man’s AHL alternatives business, says the principle of diversification applies equally sensibly to systemic trading as it does to traditional methods of investing. He is based at Oxford University where his team of scientists are now using machined learned strategies to invest client money, having been almost cool on the idea many years ago. Man Group manages $US76 billion of which AHL oversees $US19 billion. The Zooniverse, a global citizen science project, was an unlikely source of inspiration for the former academic. One of its…


Link to Full Article: Man AHL’s chief scientist says machine learned trading suited to the ‘tiny edge’

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