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Developer Builds 4-Stage AI Stock Screener That Whittled 3,000 Tickers Down to 10

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A software developer created an automated stock screening pipeline using Anthropic's Claude AI connected to the EODHD Stock Screener API, starting with over 3,000 US-listed stocks. The funnel applied four sequential filters — market cap above $150 million, profitability and liquidity checks, a value-focused mid-cap range, and earnings yield ranking — leaving only 10 stocks. Unlike typical 'AI stock picks' content that relies on a model's training data, every data point was pulled from a live API call made on the day of writing. The developer also outlined two extensions: a conversational interface via EODHD's MCP server and a daily cron job to track changes in the screened results. The project was shared openly with full code and setup instructions, aimed at independent investors and developers building quantitative tools.

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