Crypto fundamental analysis: build an evidence-based checklist
Fundamental analysis examines what an asset does, who uses it and how its economics work. For crypto, a useful product does not automatically make its token valuable. Start with verifiable evidence and uncertainty, rather than treating a price target or popularity score as a conclusion.
Your task: create a one-page research note linking every important claim to a dated source, a limitation and a reason to reconsider.
Trace the connection from product to token
Product → actual demand
Describe the service and its paying users in one sentence. Separate live functionality from a roadmap. Compare sustained use with activity temporarily rewarded by token incentives; addresses are not the same as people.
Token → specific rights
Check whether the token pays fees, secures a network, grants governance or provides another documented function. An ERC-20 balance alone does not grant company ownership or profit rights. Trace who receives fees and who can change that arrangement.
Supply → holder exposure
Record circulating, total and maximum supply, if defined. Inspect unlock dates, emissions, burns and large allocations. An unlock increases transferable supply; it does not prove everyone will sell. A low unit price is not evidence of cheap valuation.
Walkthrough: assemble a research note
Verify identity and control
Start from official documentation and confirm the network and contract address in an explorer. Read upgrade, minting, pausing and governance permissions. Identify who controls them, any delay and what users can do if the service stops.
Cross-check the evidence
Keep a dated link for each claim: documentation, deployed contracts, governance decisions and independently reproducible activity. Read audit scope, version and unresolved findings. Audits are not guarantees. Mark unverifiable claims as unknown, rather than scoring them as positive.
Compare alternatives and downside
Compare projects serving the same purpose using the same time window and definitions. Distinguish user fees, provider payments and protocol revenue. Check liquidity for a realistic exit, treasury runway where disclosed and dependencies such as bridges or oracles. Write what would invalidate the case.
Worked example: supply changes the valuation picture
An imaginary token trades at $2 with 20 million circulating units: $40 million market cap. At 100 million total units, its total-supply valuation is $200 million at that same price. A release of 10 million locked units would increase the current float by 50%. These are arithmetic snapshots, not price forecasts or amounts invested in the project.
Three research traps
Copying equity ratios onto any token
Company earnings belong to a different legal and economic framework. Do not call protocol fees token-holder earnings unless the relevant rights and distribution mechanism actually establish that connection.
Counting activity without its cost
Volume, wallet counts and TVL can be inflated, duplicated or subsidized. Ask how the metric is defined, who pays for activity and whether users remain when rewards stop. Compare sources before drawing a conclusion.
Turning uncertainty into a precise target
A spreadsheet cannot remove unknowns. Test weak, middle and strong assumptions, record missing evidence, and separate an observation from your interpretation. Research can end with “insufficient evidence”; no purchase is required.
Try it: who actually receives the fees?
A fictional protocol collects $100,000 this month. It pays $70,000 to liquidity providers and keeps $30,000 in its treasury. Its governance token has no current distribution rights. Can you describe the $100,000 as token-holder earnings?
Reveal the reasoning
No. Gross user fees, provider income and treasury receipts are different flows. None automatically belongs to token holders. Inspect current rights, costs, governance powers and actual distributions before constructing a valuation. A future proposal is not an existing entitlement.
