@ahuserious

ml-pipeline consolidates eight prior skills into a unified reference for quant trading research, covering feature engineering, automl, deep learning optimization, and anti-leakage validation with walk-forward cv patterns.

nautilus-trader covers strategy development, backtesting, and live trading on hyperliquid mainnet, including a critical sdk patch for price precision handling and multi-timeframe indicator patterns.

strategy-workflow orchestrates quantitative trading strategy development across backtesting, hyperparameter optimization, and walk-forward validation. covers multi-gpu execution, bayesian search with optuna, and automated tearsheet generation but lacks clear decision logic and failure recovery.

Generate professional tearsheets with custom SVG visualizations using the QuantStats library. Creates performance reports with MAE analysis, leverage recomme...