Bitcoin Confirmations: Why Finality Depends on the Payment
A practical framework connects Bitcoin confirmation depth with irreversible payment exposure, verification quality and the cost of waiting for settlement.
Latest articles
TVL Explained: Separating Deposits, Leverage and Real Demand
An increase in dollar TVL can reflect asset prices, accounting coverage or repeated claims, so the underlying balances must be reconciled before judging growth.
Protocol Revenue vs Tokenholder Value: Reading Crypto Business Models
A protocol can earn substantial fees while its token captures little value, making the distribution mechanism as important as the reported revenue.
Token Unlocks and FDV: How to Model Dilution Without Price Predictions
A worked framework separates circulating supply, potential selling and economic dilution so an unlock calendar does not become a false price forecast.
Open Interest and Liquidations: Reading Crypto Leverage Without Guessing
Open interest can rise without new contracts, and liquidation notional is not account loss; this guide builds a reproducible framework for leverage data.
Crypto Funding Rates and Futures Basis: What They Reveal About Leverage
Funding and futures premiums price exposure and financing constraints; this guide separates useful leverage evidence from unsupported price forecasts.
DeFi Liquidations: How Collateral and Oracles Turn Into Losses
Health factor marks an eligibility boundary; worked examples show how debt, collateral prices, and executable liquidity determine liquidation losses.
Impermanent Loss Explained: When Fees Do Not Cover Inventory Risk
A liquidity position can earn fees and gain dollars while lagging its original assets; this guide measures the fee hurdle and the hidden costs.
Slippage vs Price Impact: How to Estimate a DEX Trade’s Cost
A numerical guide to what a DEX quote includes, what slippage tolerance protects, and how network costs change the final price paid for a swap.
DEX Liquidity vs Trading Volume: How to Measure Execution Quality
A practical framework for measuring DEX execution quality across trade sizes, separating reported activity from usable liquidity and exit capacity.