🧠 Feature Engineering for Crypto Time Series

A modular and extensible library for computing technical and statistical features from OHLCV candlestick data, tailored for crypto markets.

✅ Key Features

• Decorator-based feature registry (@feature)
• Built-in indicators:
  • Log returns & volatility
  • RSI, ATR, OBV
  • Time-based cyclic features
  • FFT peaks (price & volume)
  • Swing points
  • Reversal candles (pin-bar, engulfing)
  • Order-flow detection blocks
  • Volume imbalance
  • Hilbert Transform (real/imaginary components)

🗂️ Structure

predfeatures/
├── __init__.py
├── features.py          # All registered feature functions
├── hilbert_ht.py        # Hilbert transform backend
├── registry.py          # Feature registry via decorators
└── utils.py             # Misc helpers