📈 Stock Market Comparison using Python & Plotly

This project analyzes and compares multiple stock market indices (e.g., NIFTY, SENSEX, NASDAQ) to understand their investment growth, volatility, and market behavior over time. Using real-time data from Yahoo Finance via yfinance, we calculate cumulative returns, evaluate risk using volatility, and assess beta to understand index sensitivity.

🔧 Libraries & Tools

• yfinance – for fetching historical stock data
• plotly.graph_objects – for interactive visualizations
• pandas – for data processing
• numpy – for numerical calculations (implied by finance metrics)

📊 Core Analysis

• Cumulative Return: Tracks total return over the investment period
• Volatility Comparison: Measures price fluctuations (risk) across indices
• Covariance & Beta: Evaluates how one index moves relative to others
• Scatter Plots: Shows correlation and ROI behavior visually

📁 Folder Structure

📂 Data-Science-Stock-Market-Comparision-Project
├── Stock_Market_Comparison.ipynb # Main Jupyter Notebook
├── images/ # Exported visuals (e.g., volatility, return plots)
└── readme.md # Project overview

🚀 How to Run

1. Clone this repo:
   git clone https://github.com/GeekyVishweshNeelesh/Data-Science-Stock-Market-Comparision-Project.git

2. Install required packages:
   pip install yfinance plotly pandas

3. Open the notebook:
   jupyter notebook Stock_Market_Comparison.ipynb

📷 Sample Visuals

Visualizations include:

• Cumulative return line graphs
• Bar charts for volatility

All plots are generated using plotly and are stored in the notebook and images/ folder.

❤️ Made with Love by [GeekyVishweshNeelesh]