Top Traders Unplugged

SI391: Why Trend Following Works... the Evidence ft. Richard Brennan

36 snips
Mar 14, 2026
Richard Brennan, author and researcher on market microstructure and trend following, explains why trends arise from how markets work. He discusses oil shocks, long-range market memory, fat tails, volatility clustering, feedback loops, and a regime that favors trend-following rules over predictions. Short, sharp conversation about structural market behavior and its implications.
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ANECDOTE

Oil Spike Example Of A Primed Market

  • Richard described crude oil drifting from $87 to $66 over 18 months then spiking to $119 and reversing to $84.
  • He argued the spike resulted from a primed market (short interest, low vol) that overreacted when a geopolitical ignition arrived.
INSIGHT

Returns Follow Power Law Tails

  • Return distributions in liquid markets are fat tailed and follow a power law, not a normal bell curve.
  • Five-sigma daily moves occurred thousands of times more often than a Gaussian predicts, with a tail exponent near 3.33 across assets.
INSIGHT

Volatility Clusters Persistently

  • Volatility clusters: large moves tend to follow large moves and quiet periods follow quiet.
  • The average autocorrelation of daily move sizes across 68 markets was 0.353, indicating persistent volatility memory.
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