DAO governance analysis: participation, voting power and execution
An overwhelming approval rate can conceal concentrated voting power. Participation, treasury commitments and the authority to execute a decision need separate evidence.
Crypto market analysis
Explore the data behind market moves. Browse analysis of technical indicators, network activity and macroeconomic trends.
Lido analysis: how does staking growth reach LDO?
This Lido analysis uses the H1 2026 report to examine the path from staked ETH to fee revenue and LDO rights. Shared-pool economics and a tokenholder’s claim are evaluated separately.
Layer 2 economics: can low fees sustain network revenue?
Layer 2 economics can diverge from transaction growth. A common 30-day window for Base, Arbitrum and OP Mainnet shows what low L1 costs explain and which expenses remain outside the calculation.
Spot Bitcoin ETF flows and price: two quarters of IBIT
IBIT’s first-quarter reports for 2025 and 2026 show different sides of fund demand. Separating gross creations, redemptions, cash movements and fund size clarifies which questions remain open when interpreting price.
Bitcoin and the dollar: when does inverse correlation break?
A dollar rally and a Bitcoin sell-off can look like a dependable trading rule. The useful question is whether their relationship survives a different period, measurement method and market backdrop.
GameFi analysis: can player spending sustain token rewards?
Spending for entertainment and spending to earn a larger reward are different forms of demand. We examine GameFi beyond wallet counts, using dated Axie policy decisions and a transparent hypothetical budget.
Aave analysis: how does lending demand reach AAVE?
Does more lending leave more value for AAVE? We separate borrowing demand, protocol income and token value capture, using worked scenarios and dated governance evidence.
How do Fed rate decisions affect crypto? Three scenarios
The size of a rate cut is only part of the story. Its cause, inflation expectations and financing conditions can lead to very different outcomes for crypto.
NFT market analysis: volume, demand and creator royalties
NFT market analysis requires separating trading volume from independent demand. Sales counts, buyer distribution and the money reaching creators can tell very different stories.
Uniswap analysis: UNI burns, trading volume and future scenarios
A strong UNI thesis needs more than a busy exchange protocol. Fee allocation, recurring burns and the economics of supplying liquidity belong in the same assessment. This analysis examines when growth might translate into token value and what could interrupt that connection.
Chainlink analysis: how does oracle demand reach LINK?
A new Chainlink integration is easy to count. Its contribution to LINK demand is harder to establish. Fee conversion, staking and supply need to be read together before network success can support a token valuation argument.
Solana analysis: SOL demand, network use and future scenarios
Heavy Solana traffic is not the same as a strong investment thesis. Fee recipients, new SOL issuance and usage that survives incentives shape the economic outcome. Three scenarios show where network success and token-holder returns can diverge.
Bitcoin analysis: limited supply, demand and future scenarios
Bitcoin’s future cannot be explained by limited supply alone. Sources of demand, the role of ETF access and the economics of mining need to be assessed together. This analysis compares the foundations and weaknesses of three scenarios instead of choosing a target price.
Ethereum analysis: ETH demand, network economics and future scenarios
The Ethereum outlook depends on whether more activity creates more demand for ETH. Lower fees, staking and layer 2 growth need not produce the same economic outcome. This analysis tests the link between use and value through three conditional scenarios rather than a chosen price target.
BNB analysis: utility, token burns and future scenarios
BNB outlook depends on more than the quantity of tokens burned. Whether network use creates lasting demand, how validators are distributed and confidence in the ecosystem all matter. This analysis builds three conditional scenarios from documents reviewed on September 24, 2026.