Insider-Activitytier 2pilot
insider routine filter
cadence: Dailydata: low
JF
2012
Journal of Finance
Cohen, Malloy & Pomorski 2012, Journal of Finance, 'Decoding Inside Information'
Read the paper →
Mechanism
Each insider has a 'routine' footprint (monthly/quarterly 10b5-1 clockwork buys) vs 'opportunistic' trades. Filter OUT routine insiders — the remaining cluster buys predict 82bps/month. Routine alone is zero.
Signal rule
trade-date entropy per insider over 3y; exclude top-decile-routine; then run cluster filter
Data dependencies
sec_insider_trades (≥3y history)Form-4 insider transactions with role, size, and trade direction.
Expected edge
82bps/month VW alpha on opportunistic-filtered (doubles signal-to-noise)
Illustrative pattern only
NOT a backtestIllustrative pattern only — see /app for live backtests and the actual current equity curve.
Example tickers where this is likely to fire
Illustrative only — the signal fires based on the live data, not a fixed list.
Related families
Explore insider routine filter on alphactor.ai
See which tickers this family is currently firing on, with live signals and rankings.