SI383: When Signals Matter More Than Stories ft. Nick Baltas
发布时间 2026-01-17 05:00:00 来源
摘要
Today, we are joined by Nick Baltas to examine how narratives, signals, and structural design are reshaping trend following at the start of 2026. The conversation moves from investor storytelling and information digestion to a sober review of what truly drove dispersion in 2025. We explore why speed and universe choice mattered more than expected, why recent outcomes may be misleading, and why reacting to performance is often a mistake. The discussion then turns technical, unpacking new academic research on nonlinear momentum, signal construction, and the deeper mechanics behind trend following’s defensive behavior during stress. The episode closes with a reminder that discipline, not prediction, remains the strategy’s core advantage.-----50 YEARS OF TREND FOLLOWING BOOK AND BEHIND-THE-SCENES VIDEO FOR ACCREDITED INVESTORS - CLICK HERE-----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 info@toptradersunplugged.comAnd 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 Nick on Twitter.Episode TimeStamps:00:00 - Introduction and welcome01:05 - A disrupted start to 202603:10 - Narratives, information, and price formation07:06 - Why stories often fail to move markets09:31 - Recurring themes and market attention10:59 - Strong early conditions for trend following12:01 - Dispersion across strategies in 202515:06 - Familiar patterns in an unfamiliar year18:42 - Speed versus universe in trend design23:17 - Why recent outperformance can mislead31:08 - Institutional views on trend following40:21 - Nonlinear time series momentum research50:30 - Autonomy of trend and crisis...
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