THE DARH RESEARCH FRAMEWORK

Questions before conclusions.

A consistent structure for examining evidence, testing assumptions and explaining risk.

Digital-asset research

Examine the project and problem; team and governance; funding; token supply and distribution; unlocks; market structure; technology and security; adoption evidence; competitors; partnerships; recent developments; risks; and valuation scenarios. Treat claims from project teams as claims until corroborated.

Company and equity research

Start with the business model and original filings. Review segment revenue, margins, cash flow, balance sheet, capital allocation, competition and management disclosures. Make valuation assumptions explicit, and separate historical facts from forecasts.

Global-market research

Identify the market question, relevant economic releases, supply/demand variables and cross-asset relationships. Record the source, release time, revisions and the period covered by each data point.

Evidence and verification

Prefer original documentation, regulatory filings and primary data. Link the original source, record when data was obtained, and resolve conflicting information before publishing. State limitations when verification is incomplete.

Scenarios and uncertainty

Explain what would support or weaken a thesis. Use clearly labelled scenarios rather than presenting an uncertain future outcome as a fact.

Sources for readers

These primary resources illustrate how to inspect original information.

Investor.gov: using EDGAR to research companies
Ethereum: original developer documentation

Continue your research

Follow the evidence from one topic to the wider market.

RELATED RESEARCH

Research frameworks

Understand how DARH evaluates evidence, assumptions and risks.

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