Algorithmic Trading in Python
Case-Study Title: Using Classification algorithms in financial markets (Stock Market Prediction)
Data Analysis methodology: CRISP-DM
Dataset: S&P-500 (The Standard and Poor's 500) Timeseries data from 2019 to 2023
Case Goal: Create an automatic financial trading algorithm for S&P-500 index (Algorithmic Trading)