Built for investors
who want to think clearly.

Most investing tools optimize for one of two extremes. On one side, retail apps push notifications, gamified UIs, and quick-trade nudges — designed to maximize engagement, not portfolio quality. On the other side, professional terminals (Bloomberg, FactSet) cost tens of thousands a year and are tuned for institutional workflows that most individual investors don't need.

SigmaThesis sits in between. It's built for the serious individual investor — someone who reads earnings transcripts, thinks about base rates, runs DCF sanity checks, and wants a tool that respects their attention.

No infinite scroll. No "BUY NOW" CTAs. No social comparison features. Just structured data, transparent quantitative scoring, and AI-assisted reasoning when you want a second opinion on a thesis you're already forming.

It is not financial advice. Every output — Sigma Scores, AI theses, valuation models, alerts — is information and interpretation. You decide what to do with it. Always do your own research and consult licensed professionals for advice tailored to your circumstances.

It is not a trading platform. You can't execute trades here. SigmaThesis is for research, scenario testing, and thesis tracking — the work that should happen before a trade, not the trade itself.

It is not a screener that promises to find tomorrow's winners. Anyone selling that is selling you fiction. SigmaThesis helps you reason more carefully about ideas you bring to it, or surface from your watchlist. The work of thinking is still yours.

Transparency about the technology matters when AI is involved. SigmaThesis is built on:

• Anthropic Claude — for AI thesis generation, chart analysis, valuation guidance extraction, and the daily summary. We use Claude Sonnet 4.6 for its reasoning quality and predictable behavior.
• Finnhub & Yahoo Finance — for market data, fundamentals, earnings calendars, analyst targets, options flow, and insider transactions.
• Supabase — for authentication and personal data storage (portfolio, watchlist, thesis history). Data is per-account, never shared.
• Next.js + Vercel — for the application framework and hosting.

Your portfolio holdings, watchlist, and AI thesis history are stored in your account and visible only to you. AI requests sent to Anthropic are anonymized — they do not include your account email or personal identifiers. We do not sell data to advertisers, brokers, or anyone else. There are no ads in SigmaThesis.

SigmaThesis is in private beta, refined daily based on real use by a small group of investors. Pro payments are not yet enabled publicly — early access is by invitation while the platform stabilizes.

If you found your way here through that invitation, welcome. If not — public sign-ups for Pro are coming soon. Free tier is open and always will be.