What is the expected Sharpe ratio of the Frog-in-the-Pan Quality Momentum strategy?

A research-derived estimate of 0.5–0.9. This is hypothetical and not indicative of future performance.

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Cross-Sectional Momentum & Trend-Following · 2026-09-12

Frog-in-the-Pan Quality Momentum

Q: What is the Frog-in-the-Pan Quality Momentum strategy?

Da, Gurun & Warachka (RFS 2014) show momentum following continuous information (many small daily moves) persists far longer and does not reverse, while momentum from discrete jumps decays in ~2 months — enhancing raw momentum by conditioning on path shape. The information-discreteness gate is a new signal dimension not present in the residual/vol-scaled/dual-momentum variants already logged.

Q: How do I backtest the Frog-in-the-Pan Quality Momentum strategy?

Run SignalChain inside Claude Code with: /signalchain Cross-sectional 12-1 momentum on sector and region ETFs, keep only winners with continuous low information-discreteness price paths, monthly . It researches the idea, writes and runs a VectorBT backtest, and grades it against benchmarks.

keep only winners that climbed on a smooth, gradual path

expected Sharpe 0.5–0.9confidence: mediumfree daily data

Da, Gurun & Warachka (RFS 2014) show momentum following *continuous* information (many small daily moves) persists far longer and does not reverse, while momentum from *discrete* jumps decays in ~2 months — enhancing raw momentum by conditioning on path shape. The information-discreteness gate is a new signal dimension not present in the residual/vol-scaled/dual-momentum variants already logged.

Universe

sector + region ETFs (XLK, XLF, XLE, XLV, XLI, XLY, XLP, XLU, XLB, XLRE, XLC, EFA, EEM, EWJ).

How it works

rank by 12-1 month return, compute ID = sign(return) × (%negative days − %positive days) over the formation window, long the top-return names with the lowest ID (most continuous), monthly rebalance.

Expected performance

Research-derived Sharpe estimate: 0.5–0.9.

Backtest this idea with SignalChain

This is a research lead — not a finished backtest. SignalChain takes an idea like this and runs the whole pipeline inside Claude Code: it researches the concept against academic and practitioner sources, sets benchmarks, writes and lints a VectorBT backtest, runs it, and grades the result PASS/FAIL. One command:

/signalchain Cross-sectional 12-1 momentum on sector and region ETFs, keep only winners with continuous low information-discreteness price paths, monthly

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Research & sources

papers.ssrn.com — papers.ssrn.com
alphaarchitect.com — alphaarchitect.com

More Cross-Sectional Momentum & Trend-Following ideas

Not financial advice. This page describes a research idea, not a recommendation. Any performance figures are hypothetical, research-derived estimates and are not indicative of future results. SignalChain is a research and educational tool; you are solely responsible for any decisions you make.