BallesJr/polymarket-edge-model

This repository presents a systematic trading pipeline for Polymarket, built around a Random Forest calibration model. The approach is academically interesting—using ML to find mispriced probabilities—but the repo has zero stars, zero forks, and a very small size (777KB), suggesting it may be a personal or early-stage project. No malware indicators were identified in the limited surface area (simple Python script structure). The code quality cannot be fully assessed without deeper inspection, but the lightweight nature and lack of community engagement suggest it is not battle-tested. It could be useful for educational purposes or as a starting point for someone wanting to build a similar ML-based trading bot. However, given zero stars and no proven track record, most users should monitor this repo for updates or community validation before relying on it for live trading. The strategy itself is sound in concept but unproven in practice.