TTU142: The Contrarian ft. Roy Niederhoffer, President of R.G. Niederhoffer Capital Management
Top Traders Unplugged - Podcast autorstwa Niels Kaastrup-Larsen
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Buckle up for a fascinating conversation with Roy Niederhoffer, President of R.G. Niederhoffer Capital Management, as he shares insights on managing a billion USD through short-term trading. Discover why he's chosen this approach and how he's overcome its challenges. You'll also gain valuable insights on human biases surrounding the Sharpe Ratio, the impact of an inverted yield curve on longer-term trend following strategies, and why Roy "has PTSD" from investing in the stock market. Dive deep into the drivers of short-term trading and learn why thinking like a trader is key to successful research. Plus, Roy offers a cautionary note on the dangers of machine learning. Don't miss this illuminating conversation!-----EXCEPTIONAL RESOURCE: Find Out How to Build a Safer & Better Performing Portfolio using this FREE NEW Portfolio Builder Tool-----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 [email protected] 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 R.G. Niederhoffer Capital Management.Episode Timestamps:02:16 - Introduction to R.G. Niederhoff Capital Management03:46 - Their investment philosophy10:00 - A period of challenges13:26 - Believing in change15:45 - Who's Sharpe should we be concerned about?23:02 - Looking back in time30:42 - The role of short-term trading38:56 - What drives short-term trading?42:47 - Being smart with execution46:09 - Dealing with the downsides53:53 - Studying the markets55:49 - The dangers of machine learning58:41...