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"Hyta" is a novel Python library that provides financial indicators for technical analysis, with a noteworthy emphasis on incremental computation. The library's incremental computation feature makes it particularly suitable for real-time applications or any other application that involves iterative input.
As a relatively new project, "hyta" is highly receptive to user feedback and suggestions for improving its API to meet users' unique needs.
The current version of "hyta" includes a comprehensive set of indicators. However, if your preferred indicator is not included, you can create a ticket through GitHub Issues, and there is a high likelihood that it will be incorporated into a future version of the library.
- Average Directional Index (ADX)
- Aroon
- Average True Range (ATR)
- Bollinger Bands
- Commodity Channel Index (CCI)
- Chaikin Money Flow (CMF)
- Chande Momentum Oscillator (CMO)
- Detrended Price Oscillator (DPO)
- Directional Movement Index (DX)
- Exponential Moving Average (EMA)
- Hull Moving Average (HMA)
- Ichimoku Cloud
- Kaufman Adaptive Moving Average (KAMA)
- Moving Average Convergence Divergence (MACD)
- Money Flow Index (MFI)
- Momentum
- Moving Average
- On Balance Volume (OBV)
- Percentage Price Oscillator (PPO)
- Parabolic SAR (PSAR)
- Rate of Change (ROC)
- Relative Strength Index (RSI)
- Simple Moving Average (SMA)
- Stochastic Oscillator
- Triangular Moving Average (TMA)
- True Strength Index (TSI)
- Ultimate Oscillator (UO)
- Williams %R
- Weighted Moving Average (WMA)
pip install hyta- For the most efficient means of reporting issues, bugs, or corrections, as well as proposing new features, we highly suggest utilizing GitHub Issues.