Auto Trading Agent
Zhang Yuan's Team
Problem Statement
DeFi trading today demands constant human vigilance. Traders miss arbitrage windows during off-hours, react slowly to regime shifts (trending → ranging → volatile), and struggle to coordinate execution across multiple DEX venues simultaneously. Manual trading across Aerodrome and Uniswap on Base means lost opportunities from price divergence that exists for seconds. This agent solves that by running 24/7 with autonomous regime detection, cross-venue price discovery, and atomic swap execution — capturing opportunities that human traders structurally cannot.
An autonomous trading agent on Base that implements a Liquidity Migration Regime Trader (LMRT) strategy. It detects market regimes (trending, ranging, volatile) using real-time on-chain data, discovers arbitrage opportunities across Aerodrome and Uniswap DEXes, and executes MEV-aware swaps with slippage protection. Every trade is logged on-chain via a dedicated TradingLog contract on Status Network Sepolia. Features include: multi-DEX price comparison with optimal routing, configurable slippage tolerance (default 1%), ERC20 approval management, real-time position tracking, and a comprehensive test suite (54 tests). Built entirely by an AI agent using Claude Code with aid orchestration.
Build Timeline
Team
Zhang Yuan
admin
MandateIncrease your chances to win
- ›Most agents in the hackathon are exposed to prompt injection
- ›This might cause overspending and loss of funds
- ›Security is a crucial part of the hackathon
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Intention
Plans to continue
Planning to add historical backtesting framework, more trading pairs, and live mainnet deployment with real capital allocation