The Lynx Program (Lynx), the longest running active hedge fund in Sweden, has launched a pure machine learning strategy, Lynx Constellation.

Lynx Constellation will be the third investment offering from Lynx Asset Management since the company was founded in 1999. Lynx has used machine learning models since 2011.

Lynx Constellation will combine the return forecasts from twelve machine learning models which are programmed to understand and relay non-linear relationships within data points. The objective of the strategy is to generate high risk-adjusted returns, uncorrelated to markets, through trading of approximately 90 futures markets, long and short, providing broad diversification in equities, fixed income, commodities and currencies.

“The returns of these models have stood out over time and consequently they have increasingly been discussed with investors. The general interest in machine learning is also welcome to us, since this is an area we have actively pursued since hiring our first machine learning specialist from Google in 2009,” says Martin Källström, partner and Senior Managing Director at Lynx Asset Management. “Other managers that are offering funds utilising machine learning techniques are typically trading equities with a big data approach, this strengthens my view that Lynx Constellation will be quite unique.”

At launch, assets under management in Lynx Constellation will amount to around USD140 million, approximately ten percent of which is invested by Lynx and its partners.  “It’s a rare occasion that we launch a new strategy and we are therefore especially enthusiastic about the launch of Lynx Constellation. This is the result of many years of hard work that we believe will provide clients with attractive returns,” says Svante Bergström, Lynx co-founder and CEO.