AI equity research workflow
AI fundamental analysis that connects numbers to the business
Fundamental analysis is more than repeating financial ratios. Useful AI research connects reported results to business drivers, expectations, capital needs, catalysts, and the conditions that could break the thesis.
Reviewed: 2026-07-26
How to decide
Questions the analysis should answer
- 01
What creates revenue, margin, and cash-flow durability?
- 02
Which earnings evidence confirms or weakens the business thesis?
- 03
Which risks and expectations matter more than historical ratios?
Frequently asked questions
Can AI perform fundamental stock analysis?
AI can organize statements, earnings, business drivers, and risks, but investors should verify source data and assumptions.
What data matters in fundamental analysis?
Revenue quality, margins, cash flow, balance-sheet capacity, guidance, competitive position, and expectations all matter.
Does AlphaVue provide source-backed analysis?
Public research pages expose company, filing, earnings, and editorial sources where available.
Test the workflow on a real stock
Start with one ticker, not another generic tool claim
Open public stock research first, then create an account when you want a fresh multi-agent report and ongoing monitoring.
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