ChainResearch delivers institutional-grade blockchain analysis, on-chain metrics, and protocol research. Trusted by funds, protocols, and enterprises making data-driven decisions.
In-depth analysis backed by on-chain data and economic modeling
Deep dive into liquid staking derivatives across Ethereum, Solana, and Cosmos. Market dynamics, risk assessment, and protocol comparison with 50+ data points.
Comparative analysis of transaction costs, sequencer revenue, and economic sustainability across Optimism, Arbitrum, and zkSync.
Read report →Tracking whale movements, floor price dynamics, and holder behavior patterns across blue-chip collections using on-chain forensics.
Read report →Quantitative analysis of MEV extraction post-merge, builder market share, and impact on validator profitability.
Read report →Every report combines quantitative on-chain data analysis with qualitative protocol assessment to deliver actionable insights.
Aggregate on-chain data from 15+ networks using custom indexers and APIs. Process 50K+ transactions per second.
Apply statistical models, time-series analysis, and machine learning to identify patterns and anomalies.
Audit smart contracts, analyze tokenomics, assess governance mechanisms, and evaluate team track records.
All reports undergo internal peer review by senior researchers before publication. No conflicts of interest.
Founded in 2021 by former quantitative analysts from TradFi, ChainResearch bridges institutional research standards with blockchain-native data analysis.
Our team combines expertise in quantitative finance, distributed systems, and cryptoeconomics to deliver research that institutional investors, protocols, and enterprises depend on for strategic decisions.
Every conclusion backed by verifiable on-chain data
Peer-reviewed methodology, no conflicts of interest
Research designed for decision-makers, not academics
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