The Daily Brief Rob Hanna: Finding Market Edges with Data | In The Money by Zerodha
Mar 22, 2026
Rob Hanna, founder of Quantifiable Edges and portfolio manager at Capital Advisors 360, is a data-driven researcher of seasonality and systematic trading. He discusses moving from pattern-based trading to robust rules, where to find statistical edges, mean reversion and overnight effects, market breadth and regime filters, and how he manages a diversified multi-model portfolio with risk controls.
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First Pit Internship With Magic Marker Boards
- Rob Hanna's first Wall Street internship was in a Fed funds/Eurodollars trading pit where he wrote bids and offers on a magic marker board during the 1980s.
- He learned to be patient in trading and that market days are often quiet until news triggers frantic action.
Manage Risk With Tight Sizing Not Stops
- Size positions to limit per-trade portfolio risk (e.g., 2–5% maximum per mean reversion trade) and allocate model-level caps so multi-position models fit portfolio risk.
- Prefer large, liquid stocks or indices for mean reversion to avoid idiosyncratic decays toward zero.
Use Breadth Thrusts And CBI For Regime Confirmation
- Breadth can confirm regime: breadth thrusts identify potential bottoms and broad participation at new highs reduces crash risk.
- Hanna's Capitol-to-Breadth (CBI) counts individual model triggers to gauge market capitulation across S&P stocks.
