Bitcoin Quant Core: Stationary ML Features Dataset

Authored a specialized financial dataset explicitly engineered for Machine Learning stability, pre-processing 1-minute Bitcoin candles to eliminate non-stationary noise. The dataset utilizes Robust Scaling and Arcsinh transformations to normalize distributions across different market regimes, ensuring strictly continuous data streams that support high-frequency model training without look-ahead bias.