SOURCE-LINKED INTELLIGENCE
SAiFE-gym: Model-based Environments for Automated Market Making with Concentrated Liquidity
We present SAiFE_gym, a Python module that provides a collection of simulation environments for studying trading problems in Constant Product Markets (CPMs) with Concentrated Liquidity (CL). These markets give Liquidity Providers (LPs) granular control over how their capital is allocated and enable them to adjust their range of liquidity provision dynamically based on market conditions, which in turn, dictates how they earn fees. We decompose the microstructure of CPMs with CL in interactive components that allow researchers and practitioners to capture various economic settings. We employ a v
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-15T19:53:47.000Z
First collected: 2026-09-20T08:20:57.646Z. This is not the publication date.