Analyzing and Visualizing Financial Data

This repository contains a Jupyter Notebook that demonstrates how to analyze and visualize financial data for Tesla and GameStop stocks using Python. The analysis includes extracting stock data, creating custom graphs, and performing basic data manipulations.

File

• AnalyzingandVisualizingFinancialData.ipynb: The main Jupyter Notebook file that contains the entire analysis and visualization process.

Features

• Downloading stock data using yfinance.
• Web scraping financial data with requests and BeautifulSoup.
• Creating visualizations with matplotlib.
• Analyzing trends in Tesla and GameStop stock prices.

Requirements

• Python 3.x
• Jupyter Notebook
• Required libraries: yfinance, matplotlib, pandas, requests, BeautifulSoup

Usage

1. Clone this repository.
2. Install the required libraries.
3. Open the Jupyter Notebook and run the cells to see the analysis and visualizations.

License

This project is open-source and available under the MIT License.