Executives must disclose every trade
CEOs, CFOs, board members. When they buy or sell shares of their own company, the law forces them to publicly disclose the trade within days.
Executives have a head start on their own business. We simply watch what they do with their own money.
We aggregate filings from 43 regulators across 44,000+ companies, rank them with our V14e EU_strict score (selection skill validated on two out-of-sample windows), and surface the top picks each week. The full point-in-time backtest, flattering or not, is published on /performance.
See how it worksThe rule is public. The signal too. You just have to read it.
CEOs, CFOs, board members. When they buy or sell shares of their own company, the law forces them to publicly disclose the trade within days.
An executive who writes a personal check for their own shares puts their own skin in the game. Statistically, these buys often precede a price increase.
US, France, Germany, UK, Japan, India, Australia. Every day we pull official regulator records and keep only what is worth a second look.
Since audit 103 (2026-05-21), all recommendations are generated by V14e EU_strict. Universe restricted to 8 EU markets, with proxy and family-kind multipliers applied. Below are the published out-of-sample metrics; the full point-in-time rebake (audit 169), unfavorable windows included, is published on /performance.
No bets, no fortune-telling. A numbered process you can audit.
Every day we read the public registers: SEC in the US, AMF in France, BaFin in Germany, and 40 others.
We strip out noise: automatic option grants, tax exercises, tiny tickets. We keep only net cash purchases by senior executives.
Each trade gets a 0 to 100 score. Who is buying, how much, how recently, and whether several executives are buying in the same window.
We rewind history: had we followed this signal three years ago, what would we have made? The backtest is a guardrail, not a promise.
Each day, the highest-scoring signals surface at the top of the feed. You decide the rest.
No black box. We start from a real buy and stack the points, factor by factor, up to the Sigma score.
One buy, scored factor by factor
Example: a 1.6 M EUR buy by the CEO of a 380 M EUR mid-cap, inside a 3-insider cluster. Each factor adds its points to the score, capped at 100.
Out-of-sample validated
Here is the out-of-sample result of the strategy since it went live, compared to a passive CAC 40 position. The full year-by-year history, including the in-sample years, is in the table below. No cherry-picking.
If each month you had bought the 10 highest-scored signals and sold each position 90 days later (net of fees), 10,000 € would have become 12,610 € since launch (2025).
| Year | Sigma v1.0 | CAC 40 | Alpha |
|---|---|---|---|
| 2022 | +23.6% | -9.5% | +33.1 pts |
| 2023 | -26.5% | +16.5% | -43.0 pts |
| 2024 | -17.0% | -2.2% | -14.8 pts |
| 2025 | +26.1% | +10.4% | +15.7 pts |
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