Metadata-Version: 1.1
Name: auquan_toolbox
Version: 2.1.92
Summary: Auquan Toolbox for developing strategies and backtesting
Home-page: https://auquan.com
Author: Auquan Team
Author-email: info@auquan.com
License: MIT
Description: # **Quick Startup Guide** #

        

        1. Packages to install. Easiest way is via pip

            * numpy

            * pandas

            * pandas-datareader

            * plotly

        2. Clone/Download this repository.

        

                git clone https://{your_username}@bitbucket.org/auquan/auquantoolbox.git

        

        3.  Navigate to the place where you downloaded the repo. Go inside that folder and run which will execute your strategy.

        

                python my_trading_params.py

        

        4. Use my_trading_params.py as a template to create your very own strategy. Copy that template to another file

        and then start implementing the methods in that file. Use pair_trading_params.py and meanreversion_trading_params.py as exmaples for motivations.

        Detailed explanation for the trading system can be found [here](https://bitbucket.org/auquan/auquantoolbox/src/master/backtester/README.md)

        

        Please delete the dist folder before you do this.

        

        PIP Package:

        Bump version in setup.py then run the following commands:

        python setup.py sdist

        python setup.py bdist_wheel

        

        To Upload for testing:

        twine upload --repository-url https://test.pypi.org/legacy/ dist/*

        

        Once uploaded Install Using:

        pip install --index-url https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple auquan_toolbox --no-cache-dir

        
Keywords: auquan finance trading backtesting development
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2.7
