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Learn Stock Research: Guides and Plain-English Definitions

This is Monsaic’s education library: how AI stock research works and how accurate it is, how to evaluate any research report — AI-generated or human — and plain-English definitions of the vocabulary rigorous research depends on, from kill criteria to valuation scenarios. Everything here is tool-agnostic, including when applied to Monsaic itself.

Start here

  • How to start investing in stocks

    The calm first-timer's guide: what starting actually requires, the vocabulary, and the index-fund-or-single-company fork.

  • Investing your first salary

    The widely used order of operations — buffer, expensive debt, then automatic investing — and why the earliest dollars matter most.

  • How to analyze a stock

    The repeatable checklist: business, financials, scenarios, kill criteria, written thesis — then re-check on a schedule.

  • How AI stock research works

    What actually happens between a ticker and a finished report — research loops, sourcing, validation.

  • How accurate is AI stock analysis?

    The published evidence, with studies linked: accuracy tracks grounding, not model branding.

Evaluate what you read

The vocabulary of falsifiable research

Done reading? Check the work

Every article in this cluster comes back to one claim: research you can verify beats research you must trust. The covered-stock excerpts are where Monsaic holds itself to that standard.

Browse covered stocksSee pricing

Keep reading

Monsaic provides educational investment research and analysis. It does not provide personalized financial advice, investment recommendations, brokerage services, or trading execution. Investors should do their own research and consult a qualified financial advisor before making investment decisions.