L o a d i n g

DEX Liquidity Predictor

A real-time DeFi risk dashboard that watches Uniswap v3 liquidity pools, predicts when liquidity is about to drain, and forecasts next-day crypto prices

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Year

2026

Client

Open Source

Services

DEFI / QUANT ML / WEB3

Project

DEX LIQUIDITY PREDICTOR

Description

Engineered for the highly volatile decentralized finance (DeFi) ecosystem, this real-time risk dashboard operates as an advanced analytical suite specifically designed to monitor Uniswap v3 concentrated liquidity pools. The system is built to answer critical, high-stakes trading questions by predicting the precise moments liquidity is about to drain, accurately measuring the price impact (slippage) of large block trades, and forecasting next-day cryptocurrency price trajectories. Serving as a comprehensive, institutional-grade framework, the platform elegantly bridges the gap between raw on-chain blockchain telemetry, complex financial mathematics, and predictive machine learning, providing quantitative researchers with a single, cohesive terminal to navigate and analyze automated market maker (AMM) mechanics.

The platform's infrastructure is built on a scalable, event-driven microservices architecture tailored for high-frequency data processing. The user experience is anchored by a modern Next.js 14 frontend that renders a high-density, "Bloomberg Terminal"–inspired cyber-monochrome interface, complete with an integrated command-line interface (CLI) and reactive, live-updating data tables. Powering this frontend are two specialized Python FastAPI services: a high-throughput DEX event listener that streams real-time risk metrics and swap events directly over a WebSocket connection, and a dedicated machine learning forecasting engine. This intelligence layer is highly sophisticated, deploying an XGBoost classifier to estimate liquidity drain probabilities, paired with a specialized quantile XGBoost regression model that generates robust median price forecasts alongside strict 95% predictive confidence intervals for nuanced risk management.

The platform features a frictionless "Zero-Node Setup" for instant offline deployment. By generating realistic synthetic on-chain data and simulated trade flows, the entire analytical pipeline runs without the need for expensive RPC providers or Ethereum nodes. Developers can launch, evaluate, and iterate on the DeFi terminal straight out of the box.