Demo program to explore the possibility of stock price prediction with Python machine learning libraries. Explored using Association Rules and Decision Trees respectively
Numpy - adding support for large, multi-dimensional arrays and matrices
Pandas - data manipulation and analysis
Scikit-learn - maching learning library
Matplotlib - data visualizaion and plotting library
Apriori - library of implementation of Apriori algorithm (Assoiciation rules) (URL: https://pypi.org/project/apyori/)
TA-Lib - library of technical analysis of financial markets (URL: https://pypi.org/project/TA-Lib/)
Backtrader - back testing engine (https://pypi.org/project/backtrader/)