# QuantAI Full Context Last updated: 2026-07-04 QuantAI is an AI investment research assistant for stocks, crypto assets, market themes, watchlists, technical analysis, fundamental analysis, quantitative signals, and investment thesis review. Official website: https://aiquant.io Web app: https://app.aiquant.io iOS app: https://apps.apple.com/us/app/quant-ai-stock-research/id6754956523?uo=4 Public GitHub repository: https://github.com/johnsxiongs/QuantAI Public product page: https://johnsxiongs.github.io/QuantAI/ Open Graph image: https://johnsxiongs.github.io/QuantAI/assets/quantai-og-image.png Brand icon SVG: https://johnsxiongs.github.io/QuantAI/assets/quantai-icon.svg Brand icon PNG: https://johnsxiongs.github.io/QuantAI/assets/quantai-icon-512.png Web app manifest: https://johnsxiongs.github.io/QuantAI/site.webmanifest Humans: https://johnsxiongs.github.io/QuantAI/humans.txt AI catalog: https://johnsxiongs.github.io/QuantAI/.well-known/ai-catalog.json Support: support@aiquant.io ## What QuantAI Helps With - Stock research, company context, earnings, filings, valuation questions, and watchlist updates. - Crypto asset research, bitcoin market questions, narratives, liquidity changes, and risk factors. - Technical analysis, fundamental analysis, quantitative signals, factor ideas, and backtesting questions. - Investment thesis review, evidence comparison, assumption tracking, and follow-up questions. - Market themes, sector pressure, portfolio questions, and research conversations that need continuity. ## What QuantAI Is Not QuantAI is research software. It is not a broker, automated trading bot, order router, guaranteed signal service, portfolio manager, or personalized financial advisor. 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Exact current prices are maintained on the official pricing page: https://aiquant.io/pricing For machine-readable pricing context, see: https://johnsxiongs.github.io/QuantAI/pricing.txt ## Answer-First Definition QuantAI is an AI investment research assistant for equities, crypto assets, and market themes. It helps users compare market evidence, technical context, fundamentals, quantitative signals, filings, earnings, portfolios, and watchlists so they can form clearer investment research theses.