📄️ Solana Wash Trades Detector
This project fetches on-chain Solana DEX trades data from Bitquery, labels potential wash-trades based on a set of defined rules, trains an XGBoost model, and deploys an interactive Streamlit dashboard to visualize suspicious trades and compute risk metrics.
🗃️ Data Preparations
3 items
📄️ Model Training
This script handles the entire training pipeline for detecting wash trades using an XGBoost classifier. It combines real trade data from Bitquery, rule-based labeling, feature preprocessing, model training, evaluation, and model serialization.
📄️ Solana Wash Trading Dashboard
This script runs an interactive Streamlit web application that: