AlgoVestIQ, known as AIQ, is an AI-powered stock intelligence platform that scores every US-listed stock across four quantitative factors — momentum, valuation, quality, and risk — and synthesizes them into a single AIQ Score from 0 to 100. The platform provides clear Buy, Hold, or Sell signals with full factor-level transparency, alongside tools for stock screening, portfolio optimization, stock comparison, and investment education. It is designed to give self-directed investors access to the same analytical rigor that quantitative fund managers use — without requiring a Bloomberg terminal or institutional account.

The AIQ Score is a composite signal from 0 to 100 that summarizes a stock's current setup across momentum, valuation, quality, and risk. Scores above 70 generally indicate a structurally strong Buy setup. Scores below 40 indicate a weak or Sell-tilted setup. Scores in between are Hold territory where factor-level detail matters most. The score is most useful for comparing relative strength across stocks in the same sector — a score of 75 where the sector median is 60 is more meaningful than an absolute 75 viewed in isolation. It is not a price target; it is a relative signal updated continuously as conditions change.

Analyst ratings are point-in-time opinions typically updated quarterly or after major corporate events, and they are often influenced by coverage relationships and institutional incentives. AIQ signals recalculate continuously from live market and fundamental data — no analyst needs to decide to update them. The factor-level breakdown also makes the reasoning transparent: you can see whether a Buy setup is driven by momentum leadership, an undervalued multiple, high earnings quality, or low volatility. That transparency is what separates AIQ from both black-box algorithms and opinion-based ratings.

AIQ uses four factors grounded in decades of academic and quantitative research: (1) Momentum — relative price trend strength versus sector peers over 3–12 month horizons; (2) Valuation — price versus fundamentals including P/E, P/FCF, and EV/EBITDA relative to peers; (3) Quality — margin consistency, ROIC, earnings reliability, and balance sheet health; (4) Risk — historical volatility, maximum drawdown, beta, and macro sensitivity. Each factor is scored individually and combined into the composite AIQ Score. All four factor scores are visible on every stock page.

AIQ is built for any serious investor who wants data-driven analysis rather than relying on opinions or parsing raw financial statements manually — from self-directed retail investors managing their own accounts to active traders making frequent decisions to sophisticated investors who want a systematic overlay on their research process. The platform scales: beginners can start with a simple stock signal and learn the framework through the Learn Hub, while experienced investors can use the screener, portfolio optimizer, and factor analysis tools in more advanced ways.

No. AIQ is an educational and analytical platform, not a registered investment adviser or broker-dealer. Signals, scores, and analytics are quantitative estimates — not personalized investment recommendations or guarantees of future performance. All investment decisions are the sole responsibility of the investor. AIQ provides the analytical infrastructure to make more informed decisions; it does not make decisions for you.

AIQ offers eight core tools all connected to the same underlying factor model: AI Stock Signals (Buy/Hold/Sell for any ticker), AIQ Rankings (full leaderboard by composite score), Stock Screener (filter by any factor combination), Stock Comparisons (side-by-side factor analysis for any two stocks), Portfolio Optimizer (diversification, Sharpe ratio, drawdown, factor exposure), Leaderboards (momentum leaders, sector spotlights, signal shifts), Market Regime (macro environment context), and the Learn Hub (expert-level references for every concept in the model).

The AIQ Portfolio Optimizer takes your current holdings and analyzes them through the lens of the same four-factor model used for individual stock signals. It calculates your portfolio's overall AIQ Score, diversification grade, Sharpe ratio, maximum drawdown, correlation structure, and factor exposures. It identifies concentration risks — where too much of your return depends on a single stock, sector, or factor — and suggests allocation adjustments that improve risk-adjusted performance without requiring you to change your core investment thesis.