SI176: The Origin of Outliers ft. Richard Brennan
Top Traders Unplugged - Podcast tekijän mukaan Niels Kaastrup-Larsen
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Richard Brennan joins us this week to discuss how to spot potential outlier trades before they occur, the power of simple trading rules over complexity, why endogenous events move markets 90% of the time and news events are behind only 10% of large market moves, how Trend Following models safely reduce risk exposure automatically as drawdowns increase, how to approach correlated markets in your portfolio, how to achieve diversification with limited capital, the Efficient Market Hypothesis versus Adaptive Market Hypothesis, and the differences between Trend Following and ‘Trend Trading’.-----EXCEPTIONAL RESOURCE: Find Out How to Build a Safer & Better Performing Portfolio using this FREE NEW Portfolio Builder ToolIn this episode, we discuss:Spotting patterns among previous outliersSimplicity over complexityHow little the news really moves marketsProfessional Trend Following versus 'Trend Trading'The ability of Trend Following models to automatically reduce open risk during drawdowns-----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 Rich on Twitter.Episode TimeStamps:00:00 – Intro01:19 – A big thank you to listeners of the show for leaving your 5-star reviews on iTunes, and feel free to share this link with 3 of your like-minded friends: https://top-traders-unplugged.captivate.fm/listen 02:41 – Macro recap from Niels04:13 – Weekly review of performance11:14 – Q1; Jonathan: What are the parameters that indicate a high chance of an outlier...