Practical Strategies for DeFi Efficiency: A Technical Framework for Arbitrage, Liquid Staking Redemption, and Yield Farming

Decentral finance (DeFi) protocols allow blockchain users to execute various financial operations while keeping custodianship of funds. The pitfall of the current DeFi system is weak communication between protocols and blockchains, which leads to fragmented and inefficient allocated capital. The paper investigates price inefficiencies between centralized exchanges and decentralized exchanges in cryptocurrency markets and presents the design of a secure, server-based arbitrage trading system to exploit fragmented capital. We develop a mathematical framework for two-point and triangular arbitrage trading and describe the technical requirements for deploying a high-frequency trading bot using a self-hosted blockchain node. The algorithm dynamically updates cross-exchange orders by analyzing mempool data, which allows traders to disclose spot price changes at the decentralized exchange before a new block is found. Through a simulation of two trade sequences in a Uniswap automated market maker (AMM), we demonstrate how transaction ordering affects the resulting spot price, even without front-running attacks, introducing pricing uncertainty and miner extractable value (MEV) opportunities. We extend the server infrastructure to support other DeFi strategies that benefits from inefficiently allocated capital such as liquid staking redemption and yield farming strategies. The proposed technical framework enables investors to overcome structural inefficiencies in the DeFi ecosystem without relying on third-party intermediaries and offers a scalable and secure infrastructure for long-term, decentral financial automation.