Python_CS_03

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)