The academic case for insider trading data rests on an asymmetry that has held up across decades of study: the buy side carries information and the sell side largely does not. Jeng, Metrick and Zeckhauser, in their 2003 study of insider transactions, found that a portfolio built from insider purchases earned meaningful abnormal returns while one built from insider sales did not. The reason is structural rather than mysterious. Executives are paid in stock, so they sell for a dozen reasons that have nothing to do with the business: a house, a tax bill, a divorce, a diversification rule their own board wrote. They buy for one.
Lakonishok and Lee, examining two decades of filings in "Are Insider Trades Informative?", found that the predictive content sits mostly in smaller companies and in aggregate rather than in any single trade, which is the finding this page is built on. One director buying is one person's opinion, and people are wrong all the time. Several insiders independently buying the same stock inside a fortnight is much harder to explain as coincidence, because it requires several people with different portfolios, different tax positions and different personal circumstances to reach the same conclusion at the same time.
Later work sharpened the point further. Cohen, Malloy and Pomorski, in "Decoding Inside Information", showed that insiders divide into routine traders, who transact on roughly the same schedule every year, and opportunistic ones, whose trades break their own pattern. Almost all of the predictive power lives with the opportunistic group. A cluster is a crude but effective filter for exactly that: routine buyers rarely synchronise, so a burst of simultaneous purchases is disproportionately made of people doing something they do not normally do.
It is not a mechanical buy signal, and the failure modes are worth knowing. Several insiders can buy in the same fortnight because a blackout window just closed and it is the first legal opportunity any of them had, which synchronises the timing without synchronising the conviction. Newly public companies produce clusters when a lockup expires. A board that has just adopted a share ownership requirement can generate half a dozen purchases in a week from executives who are simply complying. And a cluster of small, round-numbered purchases from directors reads very differently from one large purchase by an operator who runs the business day to day.
So read a cluster as a reason to look, not as a conclusion. The questions worth asking next are all on the company page: how large were the purchases relative to what these people are paid, were any of them pre-scheduled under a 10b5-1 plan, did the buying follow a specific event such as an earnings miss or a guidance cut, and have these particular insiders been right before. A cluster tells you where to spend that effort. It does not do the work for you.