About
Every time a CEO, CFO, or board member buys or sells stock in their own company, they file it with the SEC within 48 hours. That filing, called a Form 4, is public data. The problem is that there are thousands of these filings every week, and most of them don't mean much. InsiderSignals scores every one and surfaces the trades that historically matter.
Unique insiders tracked
129K+
Are equity purchases
15%
we filter the rest
Scoring factors
3
transparent breakdown
Model validation
10+
years backtested
~3,000 insider filings per week
Grants, exercises, scheduled sales, and purchases
~500 are equity purchases (15%)
Insiders spending their own money to buy shares
~30 earn Elite or Strong labels
The short list, delivered to your inbox
85% of SEC insider filings are grants, options exercises, and scheduled sales: transactions that tell you very little about what an insider thinks of their company. Of the 15% that are actual purchases (executives spending their own money), most are routine. Finding the trades that signal real conviction takes hours of manual work, or a model that does it for you.
We score every insider equity purchase against over a decade of historical data, more than 4 million filings. Elite and Strong are the highest-conviction tiers: proven insiders buying into a price pullback, with the strongest historical track records. That's your short list: fewer signals, less noise, and the same 3 minutes a day.
How it works →Median return (3 months)
~47%
Hit 30%+ return
69%
Based on ~7,000 trades
Illustrative example based on historical data

I wanted to start investing in individual stocks, but I had no idea where to begin. Then I discovered that corporate insiders in the US trade their own stock every day, and they have to report it publicly. I started digging into the data, and the more I analyzed, the more I noticed the same three things kept mattering: who the insider was, what the stock was doing, and how big the trade was. So I built a model around it. InsiderSignals started as a tool for myself, a way to make sense of a massive, noisy dataset. Now it's available to anyone who wants the same edge.
MSc in Economics and Business. Based in Amsterdam.
Every signal links to the original SEC filing
Data sourced from SEC EDGAR
Backtested across over a decade of market data
Past performance does not guarantee future results. Not investment advice. All data sourced from public SEC filings.