SI171: Machine Learning - Pros & Cons ft. Hari Krishnan
发布时间 2021-12-19 23:15:00 来源
摘要
Today we’re joined by special guest, Hari Krishnan, to discuss the advantages and drawbacks of machine learning-based trading strategies, successful funds that utilizes machine learning investment techniques, defining machine learning and comparing it with artificial intelligence, how Trend Following can best integrated with machine learning, the history of machine learning in the investment world, and we also answer some of your questions, such as how to select signals for a smaller trading account.----------EXCEPTIONAL RESOURCE: Find Out How to Build a Safer & Better Performing Portfolio using this FREE NEW Portfolio Builder ToolIn this episode, we discuss:The reasons for and against machine learning trading strategiesIf any funds have successfully implemented machine learningWhat defines machine learningThe history behind machine learning-based trading stylesHow to manage smaller trading accounts, when it comes to signal selectionHow to time the entry into trend following funds----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 “The Many Flavors of Trend Following” 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 Hari on Twitter.Episode TimeStamps: 00:00 - Intro01:25 - Feel free to share this podcast with like-minded friends using this link:https://top-traders-unplugged.captivate.fm/listen and a big thank you to those who have left a rating or review on iTunes02:38 - Macro recap from Niels04:52 - Weekly review of returns09:58 - Q1; Daniel: How do I choose which signals to take when too many arise for a small account?15:21 - Q2; Mervin: Do you have any advice for finding low-risk entry points into new TF...
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