Analyzing SEC Form 4 filings, which detail insider stock transactions, proved more complex than initially anticipated. Building a system to track these filings revealed challenges including an unreliable real-time data feed, inconsistent XML naming conventions, and the need to account for varied transaction types, such as compensation awards and pre-scheduled trades, which aren't indicative of insider decisions. This highlights the importance of robust data engineering and careful schema design when working with public financial data.
The project resulted in InsiderTradingRadar, a service that filters out mechanical transactions to provide more meaningful alerts, and demonstrates the need for rate limiting when interacting with the EDGAR system.
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