For my “Stock Market Analysis and Prediction” project, I tapped into The Investors Exchange (IEX) API to fetch live market data and performed comprehensive exploratory data analysis and visualization in Python. I developed techniques to assess a stock’s historical risk profile and then applied a Monte Carlo simulation to forecast its future price movements. Through this workflow, I combined real-time data processing, statistical modeling, and intuitive visualizations to uncover trends and quantify potential outcomes.
Tools: Python, Numpy, Pandas, Matplotlib, Seaborn.
All data used in this project is from the IEX Developer API platform loaded using pandas-datareader. The iexfinance provides real time fin-data from IEX endpoints, and historical time-series data.
This repository includes the .ipynb file with the code and the report
Thank you!
This project was curated in Fall 2024.