Technical Analysis

A pure python library to perform technical analysis in a very efficient way without installing any dependencies other than numpy.

Installation

pip install -U git+https://github.com/h3x4d1v1n3/technical_analysis

Why to use this library

• Does not require any other dependencies or packages to be installed on the system to perform technical analysis like ta-lib.
• Easy to install and it is a cross platform library.
• Works flawlessly with below parameter as a datatype
  • Numpy Arrays
  • Pandas Dataframes
  • Python Lists
• This library uses numpy library to perform arithmetic operations
• Library's structure and code is easy to understand as compared to ta-lib or any other library.
• This library will support 139+ indicators (currently supports 5)

Supported Functions

• Momentum indicator (momentum)

  • Directional Movement (PLUS_DM/MINUS_DM)
  • Moving Average Convergence/Divergence (MACD)
  • Relative Strength Index (RSI)

• Moving Average Indicator (moving_average)

  • Simple Moving Average (SMA)
  • Exponential Moving Average (EMA)
  • Rolling/Smooth Moving Average(RMA/SMMA - both functions are same)
  • Moving Average Cross (MA_CROSS)

• Trend Indicator (trend)

  • Directional Index (PLUS_DI/MINUS_DI)
  • Directional Movement Index (DMI)
  • Average Directional Movement Index (ADX)

• Volatility Indicator (trend)

  • Average True Range (ATR)
  • True Range (TRANGE)

• Other

  • Average Gain & Loss (AVG_GAIN, AVG_LOSS)
  • Cross (CROSSOVER & CROSSUNDER)