SI188: Trading with Style ft. Jerry Parker
Top Traders Unplugged - Podcast tekijän mukaan Niels Kaastrup-Larsen
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Jerry Parker joins us in today’s episode, to discuss pros and cons of adding different trading styles to your strategy and how to react when bad periods occur, using borrowed money as part of a systematic trading approach, expected returns of equities, finding the best investment strategy, achieving a high level of consistency in your Trend Following returns, using AI and Machine Learning to predict the future, Divergent Regimes and how they may last a lot longer this time, the geometry of classic Trend Following, what it takes to succeed and much more.-----EXCEPTIONAL RESOURCE: Find Out How to Build a Safer & Better Performing Portfolio using this FREE NEW Portfolio Builder ToolIn this episode, we discuss:If it helps adding different styles to your trading strategyIf you should use borrowed money as part of a systematic trading approachHow to find the best investment strategyHow to achieve a high level of consistency in your returnsThe use of AI and Machine Learning...does it improve your returnsDivergent Regimes and the end of CarryThe geometry of classic Trend FollowingWhat it takes to succeed-----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 Jerry on Twitter.Episode TimeStamps:00:00 - Intro05:02 - What’s been on Jerry’s radar?07:30 - Q1, Isaiah - Add trading styles or stick with the “Trend Following + nothing”?19:31 - Q2, Nick - About leverage and using borrowed money25:40 - Jerry's Tweets38:30 - Consistency in returns & how to achieve this43:15 - AI and Machine Learning49:27 - Divergent...