A framework for forecasting stock prices with emphasis on Machine Learning best practices.
prAIce framework lets you easily and quickly evaluate your ideas and build prototypes for forecasting stock prices.
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.
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.