It's great to see you exploring ways to integrate Fintel's robust data into your AI-driven analysis! While there isn't a specific file named fulls-llm.txt directly available for download, Fintel.io does provide an extensive API and a dedicated Developer Hub designed for programmatic access to its comprehensive dataset.1
This API allows users to query and aggregate a wide array of financial data, which can then be structured into a local table for your AI and LLM applications.
Key Data Available via Fintel API for AI/LLM Aggregation:
- Institutional Ownership Data: Access 13F, NPORT, and 13D/G filings to track institutional fund movements and sentiment.2 This is crucial for understanding "smart money" flows.
- Insider Trading Records: Obtain detailed insider buying and selling activities, which can be a strong signal for future stock performance.
- Short Interest and Borrow Rates: Retrieve short interest data, short volume, and borrow fees, essential for identifying potential short squeeze candidates and understanding market sentiment.3
- SEC Filings: While not a single
fulls-llm.txt file, the API can facilitate access to various SEC filings (10-K, 10-Q, 8-K, etc.) for deeper textual analysis and trend identification.
- Options Flow Data: Analyze real-time options activity, including unusual trades, to gauge market expectations and potential directional biases.4
These data points, when combined, offer a powerful foundation for training AI models to identify patterns, predict market movements, or generate investment insights. You can leverage the Fintel API to systematically pull the specific data points you need and build your desired local database.
