Liquidity provision in CLMMs: evidence from transactions data

2026-04-23

AI Summary

This study addresses the unresolved question of whether liquidity providers (LPs) in concentrated liquidity market makers (CLMMs)—who neither hedge nor capture off-pool yields—can achieve standalone profitability. Leveraging on-chain data from the WETH/USD pool on Base, the work proposes a novel method to reconstruct LP profit-and-loss trajectories, introduces an integrated metric combining terminal outcomes with path-dependent information, and establishes a 15-category taxonomy of LP positions. Through profit-and-loss modeling, behavioral clustering, and cross-pool LP identification, the analysis reveals that only approximately one-sixth of LPs realize net gains. Profitability is primarily driven by proactive position closure before price reaches interval boundaries, exhibits target-return-oriented behavior, and concentrates in ranges near the current spot price.

Technology Category

Machine Learning: Large Multimodal Models (LMMs)Game Theory and Economic Paradigms: Behavioral Game TheoryNatural Language Processing: Language Grounding & Multi-modal NLP

Application Category

Economics, Online Markets and Human Computation: Architectures and workflows that use LLMs for crowd workGraph Algorithms and Modeling for the Web: Foundation models and LLMs for Web-related graphsSemantics and Knowledge: Data modeling to support human-machine intelligence, including LLMs agents, intelligent system behavior, explanations, and user-friendly interactions

Abstract

The emergence of Concentrated Liquidity Market Makers (CLMMs) has made liquidity provision on decentralized exchanges an active and risk-sensitive task. However, the standalone profitability of liquidity provision remains unclear for liquidity providers (LPs) who neither hedge their inventory risk nor receive off-pool profits. This paper studies the actual outcomes of LP activity using historical transaction-level data from WETH/USD liquidity pools on the Base chain across the Uniswap, Aerodrome, PancakeSwap and SushiSwap protocols. We propose a methodology for reconstructing LP PnL dynamics from on-chain events and introduce an original metric that captures both the terminal state of LP capital and its path over time. Based on this framework, we estimate the share of successful LPs, classify their behavior and develop a taxonomy of 15 position types as structural components of PnL. We further identify a distinct class of multi-LPs operating across several pools and show that the dominant profitable position configurations are concentrated around the current pool price. The results show that only about one out of six LPs avoids losses in the selected market segment, raising an open question about the true economic motives of LP participation. Evidence also suggests that successful LPs often close positions before the full range is traversed, making observed behavior closer to profit-target-based strategies.

Problem

• Concentrated Liquidity Market Makers
• liquidity provision
• profitability
• liquidity providers
• decentralized exchanges

Innovation

• Concentrated Liquidity
• PnL Reconstruction
• On-chain Transaction Data
• LP Behavior Taxonomy
• Profitability Analysis