How Institutions Beat Retail | Raymond Micaletti, MOOD ETF episode artwork

EPISODE · Feb 1, 2026 · 35 MIN

How Institutions Beat Retail | Raymond Micaletti, MOOD ETF

from Behind the Ticker · host Brad Roth

Raymond Micaletti built the MOOD ETF around a single idea: institutions consistently outperform retail traders, and you can measure the difference. After watching a relative sentiment indicator correctly call two major market bottoms while all his other signals failed, he stopped ignoring it and started building.In this episode, Ray breaks down how he uses Commitments of Traders data and sentiment surveys to construct signals across equities, bonds, commodities, and currencies. We dig into the structural advantages institutions have over retail, why his approach avoids the whipsaw problem that kills most tactical strategies, and where it can still get you in trouble. He also makes a strong case for pairing relative sentiment with trend following—two strategies that naturally offset each other's weaknesses.Website: www.relativesentiment.com ETF site: relativesentimentetfs.com Twitter: @relsenttechGet Brad's daily market research: Subscribe to The Signal at thorft.com/newsletterMore episodes: thorft.com/podcast

Raymond Micaletti built the MOOD ETF around a single idea: institutions consistently outperform retail traders, and you can measure the difference. After watching a relative sentiment indicator correctly call two major market bottoms while all his other signals failed, he stopped ignoring it and started building. In this episode, Ray breaks down how he uses Commitments of Traders data and sentiment surveys to construct signals across equities, bonds, commodities, and currencies. We dig into t...

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How Institutions Beat Retail | Raymond Micaletti, MOOD ETF

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Raymond Micaletti built the MOOD ETF around a single idea: institutions consistently outperform retail traders, and you can measure the difference. After watching a relative sentiment indicator correctly call two major market bottoms while all his...

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