Metadata-Version: 2.1
Name: qufilab
Version: 0.0.0
Summary: UNKNOWN
Home-page: https://github.com/normelius/qufilab
Author: Anton Normelius
Author-email: a.normelius@gmail.com
License: UNKNOWN
Description: # QufiLab
        Qufilab is a fast and modern technical indicators library 
        implemented in c++.
        
        ## Features
        * Wide array of technical indicators.
        
        ## Installation
        ```bash
        Not yet implemented
        ```
        Documentation for QufiLab can be found at: <https://qufilab.readthedocs.io>
        
        ## Usage
        > **WARNING**: All of qufilab's technical indicators are implemented in c++
        and a big part of the speed performance comes from the fact that no 
        type conversion exist between python and c++. In order for this to work, numpy arrays
        of type **numpy.dtype.float64 (double) or numpy.dtype.float32 (float)** are preferably used. Observe that all other types of numpy arrays still are accepted, however the retured numpy array will be converted into the type **numpy.dtype.float64**.
        
        #### Indicators
        ```python
        import qufilab as ql
        import numpy as np
        
        # Creates an ndarray with element type float64.
        data = np.random.rand(1000000)
        
        # Calculate sma with a period of 200.
        sma = ql.sma(data, period = 200)
        
        # Calculate bollinger bands with a period of 20 and two standard deviations from the mean.
        upper_band, middle_band, lower_band = ql.bbands(data, period = 20, deviation = 2)
        ```
        
        
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
