Our Insider Transactions tool aggreagtes reportable insider data from millions of regulatory filings (such as from the SEC), then turns that into related analytics, insights, and visualisations, which you can then turn into a portfolio analysis tool.
We use machine learning to extract the data, and while accuracy is very high, there can always be some errors in the sheer volume we process. Therefore, it is imperative that you verify accuracy and completeness before making investment and trading decisions. Our tool is a very powerful assistive technology, but when money is involved, it is always a good idea to double check everything.
How it works
Insiders are obligated to register their stock trading activity in the companies they lead or otherwise have influence over, and that activity can be a source of information for investors.
We take those trades registered with the respective regulatory authority and extract names, amounts, dates, and other details. All that content is stored in our databases, and when you visit the website, we call upp the DBs to structure everything for you. That's how you get the aggregate ownership data and the nice visuals.
Caveats
First, our data is extracted using machine-learning. There can be errors in translating from the filings to our database. It's rare, but it can happen.
Second, our data relies on official documents, filed with the regulators. We process this as soon as the regulator publishes it, but this is almost always after the trades have taken place. This is a backwards-looking dataset. Insiders sell and then file, not the other way around.
Third, if an action does not have a corresponding filing requirement, it will not be in the database. This means some data on our website might reflect the data in those older fiilngs. Ex-employees, who have moved to other assignments or otherwise left the company, may still be reflected in the Insider Transactions tool. Normally they still own the shares they owned and simply have not offloaded them. Only when a new. mandatory filing impacts the dataset is the dataset updated.
Fourth, the data on our site is only as good as the data that goes to the regulators. If the company/individual making the filing makes errors, that will be reflected in the data.