Current strategies are mostly passive due to high fees. However, in order to adapt to and profit from the Arbitrium implementation, an active liquidity strategy is essential. Teahouse built a reinforced model from historical data collected, and backtested it using simulation results. Instead of hypothesis testing the utility function, we prefer to observe empirical price movements and construct a dynamic price range strategy to optimize yield for the lower gas fee environment of Ethereum Layer 2.