StocksRankings — AI Stock Picks & Rankings

Methodology — How Our AI Stock Analysis Works

How StocksRankings generates AI stock analysis — data sources (Finnhub, FMP, FRED, Polygon), AI model, ranking methodology, and update frequency explained.

Data Sources

StocksRankings pulls live and daily-refreshed data from Finnhub (RSI, analyst ratings, insider transactions), Financial Modeling Prep (P/E, PEG, EPS growth, free cash flow, dividends, buybacks), FRED (VIX, macro data), and Polygon.io (live prices, short interest).

AI Analysis

Each stock snapshot — competitive moat, verdict, bull case, bear case, catalyst — is generated by a large language model using structured financial data as input. Snapshots are refreshed regularly as new data arrives.

Rankings

All rankings (RSI, P/E, PEG, dividends, insider buying, FCF growth, short interest, buybacks) are computed directly from the raw data feeds and updated on each refresh cycle — no manual curation. The Market Mood Index is derived from VIX percentile using a rolling 252-day window.

Read more: What is RSI? · What is P/E Ratio? · What is PEG Ratio?