概要
This skill integrates the FreqAI framework into Claude Code, enabling the development of self-correcting machine learning models that automatically retrain on fresh market data. By leveraging rolling training windows and model drift detection, it prevents overfitting and adapts to shifting market regimes in real-time. It provides a standardized pipeline for feature engineering, multi-model support including XGBoost and LightGBM, and automated retraining schedules based on performance thresholds or temporal triggers, making it ideal for high-stakes time-series forecasting and algorithmic signal generation.
