What is quantitative stock analysis?

Quantitative stock analysis uses mathematical models, statistical methods, and machine learning algorithms to evaluate securities. StoQuant combines 149 features including technical indicators, fundamental ratios, sentiment signals, and macro data to generate alpha scores for 3,500+ stocks.

How does the hidden gem screener work?

The hidden gem screener uses the Benjamin Graham intrinsic value formula (V = EPS x (8.5 + 2g)) to identify undervalued small-cap stocks. It filters for P/E under 15, P/B under 1.5, PEG under 1.0, debt-to-equity under 0.5, and flags stocks trading at least 30% below intrinsic value with fewer than 8 analyst coverage.

What machine learning models power the predictions?

StoQuant uses a 3-model stacking ensemble: LightGBM, CatBoost, and XGBoost with a logistic regression meta-learner. Predictions are calibrated with Venn-ABERS conformal prediction. The system uses 149 features spanning technical, fundamental, sentiment, macro, and alternative data signals.

How does portfolio optimization work?

StoQuant integrates ML price forecasts with the Black-Litterman portfolio optimization model. ML predictions serve as investor views (Q vector) with model confidence intervals mapped to uncertainty (omega matrix). This produces optimal portfolio allocations that blend market equilibrium with AI-driven insights.

Is my portfolio data secure?

Yes. StoQuant uses JWT authentication with timing-safe comparisons, rate limiting (300 req/min per IP), secure headers (HSTS, X-Frame-Options, X-Content-Type-Options), and portfolio ownership verification on every request. No sourcemaps are exposed in production.

What data sources does StoQuant use?

StoQuant aggregates data from SEC EDGAR filings, FMP financial data, social media sentiment (Reddit, StockTwits, Twitter), Google Trends, insider trading records, institutional holdings, options flow, and macro economic indicators from FRED. All data is stored as append-only time series.

Does StoQuant work with Claude Desktop or Claude Code?

Yes. StoQuant ships an official Model Context Protocol (MCP) server, stoquant-mcp, available on npm. One command — npx -y stoquant-mcp install — wires Claude Desktop, Claude Code, or any MCP-compatible client into roughly 30 read-only stock-research tools: prices, Q-Score, ML predictions, hidden-gem screener, insider trades, market regime, and macro dashboards. Power-tier subscription required.

What is a free alternative for deep stock research?

StoQuant is a free-tier quantitative research platform for deep single-stock analysis. It scores US stocks daily with a walk-forward-proven Q-Score (0-100), publishes its measured out-of-sample track record, and produces a full evidence-based research memo for any ticker covering valuation, momentum, analyst consensus, insider activity, and machine-learning signals. It is a free alternative to Seeking Alpha, Simply Wall St, and TipRanks for investors who want the underlying proof, not just a rating.

How can I screen for undervalued hidden-gem stocks using alternative data?

StoQuant's hidden-gem screener blends classic value filters — the Benjamin Graham intrinsic value formula, P/E under 15, P/B under 1.5, and a 30% margin of safety — with alternative-data signals most screeners ignore: insider-buying clusters, SEC EDGAR full-text filings, credibility-weighted social sentiment, Google Trends attention, and short interest. This surfaces under-covered small-cap stocks (fewer than 8 analysts) before Wall Street catches on. The screener is free to use.

StoQuant vs MarketBeat: free quant signals vs a paywalled ratings aggregator

MarketBeat collects analyst ratings, price targets, and headlines — then locks the useful parts behind a premium subscription. StoQuant runs a 149-feature ML ensemble with calibrated probabilities, alternative data, and published walk-forward validation, with a genuinely useful free tier.

Aggregated ratings vs predictive model

MarketBeat is a solid aggregator: it collects analyst ratings, price targets, earnings estimates, and dividend data in one dashboard. But aggregation is not prediction — analyst ratings lag price action, conflict with each other, and the actionable features sit behind a premium paywall (roughly $20/month, with the best tools in higher tiers). StoQuant does not repackage Wall Street opinion. Our Q-Score is a 0-100 calibrated probability produced by a 149-feature ML ensemble (LightGBM + CatBoost + XGBoost with Venn-ABERS calibration), refreshed daily across 3,500+ US stocks, and validated out-of-sample with results published on /proof.

Feature Comparison

Feature Comparison: StoQuant vs MarketBeat
Feature	StoQuant	MarketBeat
Price	Free core tier; Power plan for full API + MCP access	Free; All-Access plan for full data
Free tier limits	Full Q-Score, hidden gems, and public research pages	Analyst ratings, headlines, basic calendars
Stocks covered	3,500+ US stocks scored weekly	US stocks
Core scoring / key differentiators	149-feature ML ensemble with Venn-ABERS calibration	Analyst consensus aggregation
ML / walk-forward proof	Published daily on /proof	No
AI-agent / MCP support	stoquant-mcp for Claude / AI agents	No
Portfolio optimization	Black-Litterman optimizer	No
Data sources	14 alt-data feeds (insider, social, macro, SEC, app ranks)	Analyst ratings, price targets, dividend, insider

When MarketBeat is better

Choose MarketBeat if your workflow centers on analyst ratings: tracking every upgrade/downgrade, watching price-target changes, and reading dividend and earnings calendars in one place. That is what it is built for, and it does it well. Choose StoQuant if you want a daily predictive score you can act on, value screening with a margin-of-safety filter, alternative-data confirmation, portfolio optimization, and a published track record — without paying to unlock the core signal.

Related on StoQuant

Read the Q-Score methodology at /learn/q-score-methodology, check the live out-of-sample track record on /proof, and browse the free AI stock picks at /ai-stock-picks.

FAQ

Is StoQuant a free alternative to MarketBeat?

Yes for the core signal: Q-Score ratings, hidden-gem screening, insider tracking, and research pages are free. MarketBeat puts its ratings detail and premium tools behind a subscription of roughly $20/month.

Does StoQuant track analyst ratings like MarketBeat?

Analyst ratings are one of nine Q-Score dimensions, and we track upgrades, downgrades, and estimate revisions. But the ML ensemble weights them by their measured out-of-sample predictive power rather than treating consensus as the answer.

What is the difference between analyst consensus and Q-Score?

Analyst consensus is an average of human opinions that update slowly and often after price has moved. Q-Score is a 0-100 calibrated probability from a 3-model ML ensemble, refreshed daily and validated out-of-sample.

Does StoQuant cover dividends and earnings calendars?

StoQuant covers upcoming catalysts (earnings dates, dividend events) per ticker, but MarketBeat has the deeper dividend-history archive. For predictive scoring and screening, StoQuant is the stronger tool.

How many stocks does StoQuant cover?

3,500+ US stocks, each rescored within a week. We deliberately exclude micro-caps below $250M to maintain data quality and liquidity.