When an insider raises their stake by 30% or more during a sell-off
The size of the commitment matters. Buys that raised the insider's existing holding by at least 30% are the strongest single signal we have found, and the Industrials cell was pre-registered before we looked.
- Trades: every open-market insider purchase reported to the SEC on Form 4 from 2006 onward that passes our routine-versus-opportunistic filter; for this piece, the buyer raised their existing holding by at least 30% (and at most 30ã—).
- Entry: first session after the filing became public. Held 63 trading days (about three months).
- Benchmark: IWM (small caps), because insider-buy candidates skew small and cheap; beating the S&P alone would just be that tilt.
- Market state: stress = SPY at least 10% below its trailing 1-year high on the entry day; calm otherwise.
- Statistics: clustered by company (one vote per company) — five insiders buying the same stock in the same week count once. Cells under 40 trades or 15 companies are shown but greyed. No trading costs deducted.
- What is excluded: companies without a ten-year price history (delisted names are the main gap; see the survivorship note on the evidence page).
Three-month excess return versus small caps for stake increase of 30%+s made during sell-offs, by sector. Sectors with too few trades omitted from the chart, shown in the table.
| Sector (SEC industry group) | In sell-offs | In calm markets | Read |
|---|---|---|---|
| Software & IT services | +22.1 pts n 68 · t 2.6 | −3.4 pts n 183 · t -0.8 | Sell-offs only; loses in calm |
| Medical devices | +18.0 pts n 73 · t 2.0 | +0.9 pts n 127 · t 0.3 | Sell-offs only |
| Construction | +17.2 pts n 35 · t 3.1 | −9.4 pts n 78 · t -1.7 | Too few trades to say |
| Energy | +16.2 pts n 119 · t 3.4 | +0.2 pts n 259 · t -1.1 | Sell-offs only |
| Tech hardware & semis | +14.0 pts n 118 · t 2.8 | −2.1 pts n 237 · t -1.1 | Sell-offs only; loses in calm |
| Mining & metals | +11.1 pts n 10 · t 0.4 | −8.9 pts n 67 · t -1.6 | Too few trades to say |
| Retail & consumer | +10.5 pts n 135 · t 2.2 | +0.7 pts n 306 · t 1.4 | Sell-offs only |
| Biotech & pharma | +9.5 pts n 69 · t 2.2 | +9.7 pts n 304 · t 1.0 | Sell-offs only |
| Industrials & manufacturing | +9.0 pts n 397 · t 3.0 | +0.2 pts n 895 · t 0.9 | Sell-offs only |
| Finance & real estate | +8.3 pts n 55 · t 1.8 | −0.4 pts n 169 · t 0.6 | No reliable edge |
| Other | +8.1 pts n 136 · t 2.6 | +1.4 pts n 221 · t 1.0 | Sell-offs only |
| Telecom & media | +7.5 pts n 16 · t 1.4 | +1.1 pts n 47 · t -0.7 | Too few trades to say |
| Insurance | +5.8 pts n 125 · t 0.5 | +0.1 pts n 198 · t 0.4 | No reliable edge |
| Services | +5.8 pts n 133 · t 1.2 | +1.1 pts n 346 · t -0.1 | No reliable edge |
| Banks | +4.4 pts n 719 · t 1.6 | +2.4 pts n 1,789 · t 5.3 | Calm markets only |
| REITs | +3.5 pts n 136 · t 0.7 | +0.7 pts n 301 · t 0.7 | No reliable edge |
| Utilities | +2.9 pts n 63 · t 0.5 | +3.2 pts n 172 · t 1.0 | No reliable edge |
| Food, drink & tobacco | +2.6 pts n 17 · t 1.2 | +5.7 pts n 71 · t 0.6 | Too few trades to say |
| Healthcare services | +2.6 pts n 13 · t -0.2 | +3.3 pts n 25 · t 0.2 | Too few trades to say |
| Transport & logistics | +1.7 pts n 43 · t 0.5 | +2.3 pts n 111 · t 0.9 | No reliable edge |
t is the clustered t-statistic: above 2 means the result is unlikely to be luck; above 3, very unlikely. "n" is trades.
Market state now: NORMAL — the S&P 500 is 3.1% below its one-year high (as of 2026-09-16). The calm column above is the one that applies today; the sell-off numbers are what to expect if conditions change.
Sectors under pressure right now (their own ETF is in a drawdown):
No buy in the last 45 days matches this definition among names we cover.
SAVNG is an educational research publication, not a Registered Investment Adviser. Everything here is general-circulation information produced by an automated pipeline — the same for every reader — and is not personalized investment advice, an offer, or a recommendation to buy or sell any security. Any performance figure is hypothetical; past performance does not predict future results. Details.
Published by SAVNG Research. Every figure on this page is read from the study data at render time; if the study changes, the page changes with it.