📊 Stock Analysis Project

This project focuses on analyzing the historical stock performance of major tech companies using Python, Jupyter Notebook, and financial data from Yahoo Finance. It includes data visualization, return analysis, moving averages, and correlation heatmaps to explore patterns and relationships in stock behavior.

📁 Files

• Project2.ipynb: Main Jupyter Notebook containing all code, visualizations, and analysis.

🧰 Tools & Libraries

• pandas for data manipulation
• yfinance for stock data retrieval
• matplotlib and seaborn for data visualization
• NumPy for numerical computations

📈 Key Features

• ✅ Download historical stock data using yfinance
• 📊 Plot closing prices and daily returns
• 🔁 Analyze moving averages over 10, 20, and 50-day windows
• 📉 Visualize stock volatility
• 🔗 Correlation heatmaps to show relationships between different stock returns
• 🔍 Use scatter plots and KDE to inspect stock relationships

🏁 How to Run

1. Clone the repo or download the notebook:

   git clone https://github.com/Hardikk-7/Stock-Analysis-Project.git
   cd Stock-Analysis-Project