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Minimization LVR

The LVR Minimization Tool for Uniswap v4 helps liquidity providers reduce Liquidity Value at Risk by analyzing historical data. It calculates LVR, assesses risk, and provides actionable recommendations to optimize liquidity provision and real-time updates.

Minimization LVR

Created At

ETHGlobal Brussels

Project Description

The LVR Minimization Tool for Uniswap v4 is designed to help liquidity providers mitigate their Liquidity Value at Risk (LVR). Utilizing historical data from Uniswap's subgraph API, the tool calculates LVR by analyzing factors such as asset price volatility, trading volumes, and fee generation. It performs a comprehensive risk assessment by considering market conditions, pool characteristics, and external factors. The tool provides actionable recommendations for optimizing liquidity provision strategies, such as the best times to provide liquidity and the most favorable pools to invest in. With an intuitive user interface, it presents results through detailed charts and graphs, offering clear insights and real-time updates to aid decision-making. Built with React.js, Node.js/Express, and SQLite, this tool enhances the confidence and efficiency of liquidity providers, contributing to a more stable Uniswap ecosystem.

How it's Made

This project leverages a combination of modern web technologies and data analysis tools to create an effective solution for minimizing Liquidity Value at Risk (LVR) on Uniswap v3.

Frontend: The user interface is built with React.js, providing a responsive and intuitive experience. For data visualization, we utilized Chart.js to present LVR metrics and historical trends through dynamic and interactive graphs.

Backend: The backend is powered by Node.js and Express, handling API requests and data processing efficiently. We store and manage data using SQLite, a lightweight and fast database solution ideal for this project's needs.

Data Source: The historical pool data is fetched from the Uniswap v3 subgraph API, ensuring accurate and up-to-date information for analysis.

Algorithm: Our risk assessment algorithm analyzes the fetched data, calculating LVR based on factors such as asset price volatility, trading volumes, and fee generation. It evaluates multiple risk dimensions, including market conditions and pool characteristics, to provide comprehensive insights.

Integration: The frontend communicates with the backend via RESTful APIs, ensuring seamless data flow and real-time updates. This integration enables the tool to provide liquidity providers with actionable recommendations on optimizing their liquidity strategies.

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