Value Investor Club — Structured Research Framework
A checklist-based stock research platform. We score companies across 11 core segments, with AI helping synthesize the first draft.
Our Framework
We use one consistent checklist for every company. You get structured writeups and numeric scores so stocks are easy to compare.
Use it to screen ideas quickly, spot gaps, and decide what to research deeper.
AI assists with research synthesis using public information. Final investment decisions should always come from your own due diligence.
The 11-Segment Framework
Every company is analyzed across 11 segments and scored 1-10 in each. AI helps draft the research summary:
The 11 Research Segments
Each report includes all 11 segments, with a writeup and a score for each.
Business Economics
Revenue model, unit economics, operating leverage, and pricing power.
Market Overview
Addressable market, growth drivers, and industry tailwinds.
Competitive Moat
Barriers to entry, switching costs, network effects, and brand strength.
Management Quality
Capital allocation track record, promoter credibility, and governance.
Financial Health
Debt levels, cash flow generation, working capital, and solvency.
Growth Prospects
Revenue growth trajectory, expansion plans, and execution track record.
Risks & Red Flags
Regulatory risks, competitive threats, and key business vulnerabilities.
Valuation
Intrinsic value estimates with bear, base, and bull case market cap targets.
Institutional Activity
FII/DII flows, shareholding patterns, and smart money signals.
Technical Outlook
Price trend context and momentum as a secondary input to timing.
Final Verdict
Composite scorecard, recommendation (BUY / HOLD / AVOID), and investment thesis summary.
Scoring System
The scorecard summarizes 8 dimensions plus a composite score, so you can compare companies quickly.
Coverage
We currently cover stocks across NSE (India), BSE (India), NYSE, and NASDAQ. New stocks are added continuously based on user requests. You can request analysis for any listed stock via the Request Research page.
Since AI models have a knowledge cutoff date, each report displays the model used and its training cutoff — so you always know how current the underlying data is. Financial figures for the most recent fiscal year may not be reflected if the analysis predates their release.
Limitations & Transparency
- All analysis is AI-assisted and may contain errors or outdated information.
- Scores are relative and framework-dependent — they are a starting point for your research, not a final verdict.
- The model's knowledge cutoff means recent quarterly results may not be reflected.
- We do not have access to management or proprietary company data.
- This platform is for educational and research purposes only. Use it to jump-start your checklist. Always conduct your own independent due diligence before making any investment decision.
What You Get
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