Researchon-chain datablockchain analytics
Reading On-Chain Data Without Getting Misled
Learn how address reuse, exchange wallets, bridges, smart contracts, entity clustering, timing, and denomination can distort blockchain metrics.
R Research
On-chain data, benchmarks, and evidence-led research
Use transparent methods to interpret blockchain data, digital asset indexes, tokenized claims, and market evidence without overstating conclusions.
Coverage framework
Research
Use transparent methods to interpret blockchain data, digital asset indexes, tokenized claims, and market evidence without overstating conclusions.
crypto researchon-chain datablockchain analyticsdigital asset indexes
Document the method
Reproducible research identifies contract addresses, labels, clustering rules, price sources, time windows, exclusions, and data versions. Readers should be able to understand which facts came from the ledger and which conclusions depend on interpretation.
Use several measures
Addresses are not users, transfers are not always payments, and dollar volume can rise because price changed. We compare activity, fees, liquidity, retention, concentration, and protocol context rather than allowing one metric to carry the whole claim.
Make uncertainty visible
Labels and entity clusters can be incomplete. We separate verified transactions, high-confidence attribution, heuristic inference, and speculation. When alternative explanations materially change the result, they belong in the analysis rather than in a footnote.
Recommended reading
Start with these guides
Each guide is a complete, source-linked explanation with visible publication and modification dates.
Markets & ETFsdigital asset indexesbenchmark methodology
Digital Asset Indexes: Methodology, Rebalancing, and Benchmark Risk
Read an index rulebook like an analyst: universe, eligibility, pricing, weighting, caps, reconstitution, forks, liquidity, governance, and investability.
Tokenizationtokenized assetsreal-world assets
Tokenized Real-World Assets: How On-Chain Funds and Treasuries Work
A clear map of the legal claim, issuer, administrator, custody, transfer rules, settlement design, and risks behind tokenized funds and securities.
Editorial scope
What this desk does not do
This desk does not publish price targets, personalized recommendations, paid token promotion, fabricated market data, or claims that a technical label eliminates risk. It explains systems and evidence so readers can ask better questions.