ironcladgeek / prAIce

A framework for forecasting stock prices with emphasis on Machine Learning best practices.

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prAIce

prAIce framework lets you easily and quickly evaluate your ideas and build prototypes for forecasting stock prices.


Installation

pip install -i https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple/ praice

* It is highly recommended to install prAIce in a virtual environment.

Dependencies

prAIce uses ta-lib for doing technical alaysis. In order to this library work properly, you need to have the TA-Lib already installed. Some suggestions for different platforms are included here.

About

A framework for forecasting stock prices with emphasis on Machine Learning best practices.

License:MIT License


Languages

Language:Python 100.0%