Comprehensive Fundamental Equity Research
A full first-pass research report: business, financials, competition, valuation context, and risks.
WORKS IN CHATGPT, CLAUDE & COPILOT
Discover professional-grade AI prompts for equity research, valuation, portfolio construction, and financial market analysis. Structured frameworks for investors who value evidence over noise.
Collections
From first look to full initiation memo.
DCF, reverse DCF, multiples, and margin of safety.
Moats, ROIC, and valuation discipline.
Concentration, factors, sizing, and stress tests.
Filings, insiders, and ownership — read correctly.
Rates, liquidity, cycles, and leadership.
Rules-based setups with defined risk.
Value chains, disruption risk, and moats.
Where the next years of growth come from — and whether they are worth paying for.
Yield, duration, credit quality and the risks behind fixed-income returns.
Goals, cash reserves, account choices and retirement scenarios.
Featured
A full first-pass research report: business, financials, competition, valuation context, and risks.
One structured verdict on overall business quality — revenue, profitability, returns on capital, cash flow, balance sheet, moat and management — scored and evidenced.
Test whether a company has a durable advantage, which source it comes from, and whether it is widening or eroding.
Build the case for where the next three to five years of growth come from — driver by driver — and what has to be true.
Attach a screenshot of your portfolio and get a structured review of concentration, quality, risk and gaps.
A structured guide that answers the most important questions about how the stock market works — from what a share is to why prices move.
How it works
Find the right analytical framework for your question.
Fill in your company, market, or strategy variables.
Copy or open it in ChatGPT, Claude, or Copilot — then scrutinise the evidence.
Every prompt is a structured analytical framework — not a stock tip and not a promise of returns. Each one requires transparent assumptions, dated primary sources, and explicit uncertainty.
The model does the legwork. The judgment stays yours.
Read our methodology