
How I Built a System to Track Insider Trading Data with Python
Learn how to track insider trading data with Python. See how executives buy and sell their own stock and use it to make smarter investment decisions. Every quarter, executives at public companies file reports with the SEC when they buy or sell their own stock. This is called insider trading data — and it is 100% legal and public. When a CEO buys $2 million worth of their own company's stock, that is a signal worth paying attention to. They know things the average investor does not. Tracking this data gives you a real edge. In this article, we will walk through how we built a Python system that pulls insider trading data every day, cleans it, and stores it in a database — automatically. What Is Insider Trading Data? Insider trading data refers to the buying and selling activity of company insiders. This includes CEOs, CFOs, board members, and major shareholders. In the US, they are required by law to report these transactions to the SEC within two business days. These filings are public
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