PATTERNS.

SPOT THE OPPORTUNITIES.

The Mandelbrot set exemplifies repeating patterns in mathematics. At Man AHL, we also study patterns to spot risk and return potential.

Tick data storage

Further research

Dr. Anthony Ledford, Chief Scientist at Man AHL, elaborates on the topic of Machine Learning at Man AHL.

Anthony Ledford

We study trend-following strategies between 1960 and 2015 and show how they exhibit crisis-alpha properties for equities as well as for bonds.

Carl Hamill, Sandy Rattray, Otto van Hemert

Important information

Opinions expressed are those of the author and may not be shared by all personnel of Man Group plc (‘Man’). These opinions are subject to change without notice, are for information purposes only and do not constitute an offer or invitation to make an investment in any financial instrument or in any product to which the Company and/or its affiliates provides investment advisory or any other financial services. Any organisations, financial instrument or products described in this material are mentioned for reference purposes only which should not be considered a recommendation for their purchase or sale. Neither the Company nor the authors shall be liable to any person for any action taken on the basis of the information provided. Some statements contained in this material concerning goals, strategies, outlook or other non-historical matters may be forward-looking statements and are based on current indicators and expectations. These forward-looking statements speak only as of the date on which they are made, and the Company undertakes no obligation to update or revise any forward-looking statements. These forward-looking statements are subject to risks and uncertainties that may cause actual results to differ materially from those contained in the statements. The Company and/or its affiliates may or may not have a position in any financial instrument mentioned and may or may not be actively trading in any such securities. This material is proprietary information of the Company and its affiliates and may not be reproduced or otherwise disseminated in whole or in part without prior written consent from the Company. The Company believes the content to be accurate. However accuracy is not warranted or guaranteed. The Company does not assume any liability in the case of incorrectly reported or incomplete information. Unless stated otherwise all information is provided by the Company. Past performance is not indicative of future results.

P/16/0541/GL/R /SWO

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