moving-average
🚀 Rust-backed pandas-shaped DataFrame for live OHLCV data: 242 indicators, incremental O(lookback) refresh, NumPy/Torch output.
🚀 The production-ready and incredibly-fast python library to support stock statistics and indicators, based on `pandas.DataFrame`
A program for financial portfolio management, analysis and optimisation.
Book and material for the course "Time series analysis with Python" (STA-2003)
