Most Uniswap LPs lose money. Here is the research on why, from LVR mechanics to behavioral inertia to the Nash equilibrium that makes passivity rational.
Most Uniswap LPs lose money. Here is the research on why, from LVR mechanics to behavioral inertia to the Nash equilibrium that makes passivity rational.
Market makers are not the puppet masters people imagine. They provide two-sided quotes and get picked off by informed traders who know more than they do. Here is how adverse selection works, with a co
Grid trading bots are everywhere on Hyperliquid. Here is how they work, what decides if they make money, and the one number you should check before deploying one.
A practical breakdown of LLM-driven options trading on the Indian market using Zerodha Kite, DeepSeek, and Python. Costs, architecture, strategy evolution, and where full autonomy breaks.
A practical framework for auditing your own Solana launchpad protocol. Covers exploit modules, invariant tests, account validation, economics, and the methodology used to find 4 critical bugs in the C
A step-by-step guide to building a custom token launchpad — bonding curves, fee structures, graduation rules, and the architecture you need to control every economic parameter.
Build a bonding curve from scratch on Solana using Anchor. Covers PDA design, fixed-point logistic map math, buy/sell instructions with royalties, and SPL token minting.
A Python monitor that pulls live funding rates across all 230 Hyperliquid perpetuals and compares them against Binance. 141 of 166 cross-venue pairs skew the same direction. What the crowd is paying —
Big O time complexity analysis applied to Uniswap V3 smart contracts. How factory operations, pool lookups, and fee tier configuration scale as the protocol grows — and what it means for gas costs.
How to detect isolated DEX liquidity shocks in real time and systematically fade them, betting that temporary AMM price impacts will revert. Full strategy design and implementation.
How to build a DEX market maker in C++ that simulates Uniswap V3 liquidity provision in price bands, tracks fee earnings, and models how liquidity distribution changes as prices move.
