BROADCASTS.com

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 \u2018Trend Trading\u2019.

-----

EXCEPTIONAL RESOURCE: Find Out How to Build a Safer & Better Performing Portfolio using this FREE NEW Portfolio Builder Tool

In this episode, we discuss:

• Spotting patterns among previous outliers
• Simplicity over complexity
• How little the news really moves markets
• Professional 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\u2019s TRUE ? \u2013 most CIO\u2019s read 50+ books each year \u2013 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 \u201cTen Reasons to Add Trend Following to Your Portfolio\u201d here.

Learn more about the Trend Barometer here.

Send your questions to info@toptradersunplugged.com

And 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 \u2013 Intro

01:19 \u2013 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 \u2013 Macro recap from Niels

04:13 \u2013 Weekly review of performance

11:14  \u2013 Q1; Jonathan: What are the parameters that indicate a high chance of an outlier...