TipRanks ranks analysts and blends ratings into a Smart Score. StoQuant builds a 149-feature ML ensemble with Venn-ABERS calibration, publishes walk-forward validation, and optimizes portfolios with Black-Litterman.
TipRanks is best known for ranking analysts by historical accuracy and aggregating their ratings into a Smart Score. That helps investors see what Wall Street thinks, but analyst ratings are slow, often conflicted, and lag price action. StoQuant does not rely on analyst opinion. Our Q-Score is produced by a 149-feature ML ensemble that updates daily, is calibrated with Venn-ABERS, and is validated out-of-sample against actual forward returns. We also publish the model changelog and every backtest metric so you can judge the evidence yourself.
Choose TipRanks if you want to track analyst ratings, price targets, and insider activity with a clean UI. Choose StoQuant if you want predictive daily scoring, value screening, portfolio optimization, and a published track record independent of Wall Street opinion.
Try the free Simply Wall St / TipRanks alternative page (stoquant.com/free-simply-wall-st-tipranks-alternative), the AI Stock Picks page (stoquant.com/ai-stock-picks), and /proof for the live track record.
Yes. StoQuant offers free Q-Score ratings, hidden-gem screening, and public research pages with no paywall on the core track record.
Analyst ratings are one of nine Q-Score dimensions, not the dominant input. We also track upgrades/downgrades and estimate revisions, but the ML ensemble weights them based on out-of-sample predictive power.
TipRanks Smart Score is a 1-10 heuristic blend. StoQuant Q-Score is a 0-100 calibrated probability produced by a 3-model ML ensemble and validated out-of-sample.
Yes. StoQuant includes an insider cluster signal that aggregates distinct filers, purchase value, and recent Form 4 activity.
Yes. The stoquant-mcp package exposes roughly 30 read-only tools to Claude Desktop, Claude Code, and other MCP clients.