TTU129: Trend Following Nordic Style ft. Svante Bergström, CEO & Founding Partner of LYNX Asset Management
Today, we are joined by Svante Bergström, Founding Partner and CEO of Lynx Asset Management, for a conversation on how they incorporate trend following in their trading strategy, through the use of a multi-strat approach. We discuss why they believe trend following will continue to work for the next hundred years and how they ensure a good balance between achieving a high Sharpe while maintaining the trend following profile, what they have learned from 2022 and how they used diversifying models and machine learning to profit in 2022, their process of finding new models and replacing the ones that do not work and why they are sceptical about the returns from CTA replication. We also discuss the number of markets they prefer to trade, how they manage risk and what you should pay attention to when evaluating managers, their approach to capacity and fees and their process of finding new talent in the industry, how they implement ESGs in their work and much more.-----50 YEARS OF TREND FOLLOWING BOOK AND BEHIND-THE-SCENES VIDEO FOR ACCREDITED INVESTORS - CLICK HERE-----Follow Niels on Twitter, LinkedIn, YouTube or via the TTU website.IT’s TRUE ? – most CIO’s read 50+ books each year – get your FREE copy of the Ultimate Guide to the Best Investment Books ever written here.And you can get a free copy of my latest book “Ten Reasons to Add Trend Following to Your Portfolio” here.Learn more about the Trend Barometer here.Send your questions to info@toptradersunplugged.comAnd please share this episode with a like-minded friend and leave an honest Rating & Review on iTunes or Spotify so more people can discover the podcast.Follow Alan on Twitter.Learn more about LYNXEpisode Timestamps:02:18 - Introduction to LYNX 04:11 - How did they settle on trend following? 09:08 - A painful ride? 11:09 - Too focused on sharpe? 14:04 - What stood out in 2022? 16:17 - The dual mandate 18:10 - The benefits of diversifying strategies 20:08 - Why machine learning? 24:31 - The flipside of diversifying...