Metadata-Version: 2.1
Name: qttk
Version: 0.1.2
Summary: Quantitative Trading Toolkit
Home-page: https://github.com/conlan-scientific/qttk
Author: Conlan Scientific Open-source Development Cohort
Author-email: chris@conlan.io
License: GNU General Public License v3.0
Description: # qttk
        [qttk] Quantitative Trading ToolKit - Quant trading library developed by Conlan Scientific Open-Source Research Cohort
        
        ## Design Philosophy
        
        + **Consistent** Date-indexed `pandas` objects are the core data structure.
        + **Transparent** Test cases are clear and serve as an additional layer of documentation. Type hints are used liberally.
        + **Performant** Execution speed tests are built into test cases. Only the fatest functions get published.
        
        
        ## Getting Started with `qttk`
        
        Install from PyPI using `pip install qttk`. Try the following sample.
        
        ```python
        # Indicators module contains core qttk functionality
        from qttk.indicators import compute_rsi
        
        # qttk is 'batteries included' with simulated data
        from qttk.utils.sample_data import load_sample_data
        
        # Load a ticker from csv into dataframe
        df = load_sample_data('AWU')
        
        print(df.head())
        
        rsi = compute_rsi(df)
        
        print(rsi[-10:])
        ```
        
        ## Next Steps
        
        + Check out [some demos on GitHub](https://github.com/conlan-scientific/qttk/tree/master/qttk/examples).
        + Feel free to create a bug or feature request ticket: [qttk issue tracker](https://github.com/conlan-scientific/qttk/issues).
        
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Financial and Insurance Industry
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Description-Content-Type: text/markdown
