Balancer Simulations is a project of TE-AMM and the Token Engineering Community, funded by grants from Balancer and PowerPool, and kicked off by EthicHub.
It aims to build infrastructure and knowledge for rigorous Balancer Token Engineering to leverage the full power of Balancer Pools as a core building block in DeFi.
We invite any project building on Balancer Pools to join our Discord Channel, use the model, and benefit from Balancer Simulations.
- Analyze existing Balancer Pools using on-chain transaction data, understand pool characteristics, strengths, and weaknesses
- Gain intuition by exploring pool variants, observe system behavior over time, derive the most valuable monitoring metrics for your use case
- Run experiments based on historical transactions, mix historical and synthetic transactions to model particular market scenarios
- Develop and test adaptive Dynamic AMM solutions, like Dynamic Weights Changing, test and optimize controls and feedback loops
- Model agent behavior and apply Reinforcement Learning to run stress tests for a proposed system design
All research and models are available through open source repositories, and will be further developed by TE-AMM.
For detailed information, please visit the Balancer Simulations Documentation.