1. Build a quantitative trading model that integrates traditional financial factors based on on-chain transaction data, address behavior graphs, and DeFi protocol status.

2. Develop various on-chain strategies including arbitrage and liquidity mining, and validate the model's effectiveness through historical backtesting and simulations.

3. Establish a dynamic parameter adjustment mechanism to optimize slippage control, gas fee prediction, and risk exposure management modules in real-time.

4. Monitor market dynamics and adjust strategy parameters in real-time to optimize the risk-return ratio.

5. Construct multi-chain data collection systems to process structured data such as blocks, transactions, logs, and events.

6. Build real-time monitoring dashboards to track market signals such as DEX trading pool depth and liquidity, cross-chain asset transfers, and derivatives funding rates.

7. Interface with system integration and deployment, design trading execution systems, and optimize strategy concurrency and fault-tolerance mechanisms in a distributed environment.

8. Develop a strategy performance attribution system to achieve profit and loss decomposition and risk assessment.