Step-by-step crypto and DeFi tutorials: how to trade on DEXs, read on-chain data, use DEXTools, spot scams, and manage risk. Practical guides for every level.
Auto-deleveraging in ADL perpetuals is the last-resort mechanism that force-closes profitable traders when the insurance fund runs dry. Here is how it works, when it triggers, and how to read your ADL risk.
Loss versus rebalancing (LVR) is the structural cost liquidity providers bleed to arbitrageurs as the external market price moves. Here is how it differs from impermanent loss, how it fits LP profit and loss, and how new AMM designs fight it.
Just-in-time liquidity (JIT) is an MEV strategy where a bot adds concentrated liquidity in the same block as a large swap, captures most of the fee, then withdraws. Here is how it works, who wins, and how it differs from a sandwich attack.
Most breakout traders are systematically farmed for liquidity. We pull back the curtain on the mechanics of the Swing Failure Pattern to turn traps into profit.
Federal oversight has finally codified the rules for digital dollars. We dissect the legislative boundaries, compliance pathways, and future of stablecoin yield under the new legal framework.
Holding traditional stablecoins means giving a free loan to centralized issuers. We pull back the curtain on the mechanics and risks of yield-bearing digital dollars.
Relying on fragmented third-party stablecoins introduces structural friction for high-performance trading networks. We dissect the architecture and market advantages of Hyperliquid USDH.
Decentralized stablecoins have upgraded for institutional scale. We deconstruct the architecture, collateral backings, and value-accruing mechanics of Sky USDS.
Traditional stablecoins leave billions in native yield on the table. We deconstruct Falcon Finance's USDf tokenized asset and its value-accruing staked primitive.
Learn why viral crypto chart screenshots can become outdated within minutes and how to use DEXTools real-time data before making trading decisions.
Learn why volume, transactions, and holders can sometimes tell the same story twice on DEXTools, and how to avoid overestimating token strength.
