Metadata-Version: 2.1
Name: cython-indicators
Version: 0.0.8
Summary: Indicator functions using cython
Home-page: https://github.com/VolaTrade/Technical-Indicators
Author: Ethen Pociask
Author-email: epociask@volatrade.com
License: UNKNOWN
Description: # Indicator Functions using cython (v0.0.6)
        @Author epociask
        
        ** Still in infancy, gonna require a good amount of work ** 
        
        ## Currently provide support for:
        * BB - [Bolinger Bands](https://www.investopedia.com/articles/technical/102201.asp)
        
        * EMA -[Exponential Moving Average](https://www.investopedia.com/terms/e/ema.asp)
        
        * FIB - [Upper Fibonacci Retracement Levels](https://www.investopedia.com/terms/f/fibonacciretracement.asp)
        
        * FIB_BB - [Fibonacci Bolinger Bands](https://www.motivewave.com/studies/bollinger_bands_fib_ratios.htm)
        
        * SMA - [Simple Moving Average](https://www.investopedia.com/terms/s/sma.asp)
        
        * WMA - [Weighted Moving Average](https://www.fidelity.com/learning-center/trading-investing/technical-analysis/technical-indicator-guide/wma)
        
        * SDV - [Standard Deviation](https://www.mathsisfun.com/data/standard-deviation-formulas.html)
        
        
        ## Adding Support For 
        
        * FIB ARC - [Fibonacci Retracement Arc](https://www.investopedia.com/terms/f/fibonacciarc.asp)
        
        ## Currently Supported and Tested on
        
        * MACOSX
        * Kalinux_x86
        * Debian_x86
        * Fedora_x86
        * Raspbian_x64
        
        ## To Install (For Now)
        
        ### Add to python envrionment (PIP) 
        ```Shell
        pip install cython-indicators  
        ```
        
        ### Add to python envrionment (Manual)
        ``` Shell
        git clone https://github.com/epociask/cython_indicator_functions.git 
        
        python setup.py build 
        
        python setup.py install --user 
        ```
        
        
        ## To Run (For Now)
        
        ```python
        
        import indicators
        import numpy as np 
        
        closes = np.array([12.3, 11.5, 23.5, 24.2, 32.4])
        
        print(indicators.SMA(closes, 4))
        ```
        >22.9
        ```
        
        ```
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Internet
Requires-Python: >=3.6
Description-Content-Type: text/markdown
