📊 Market Data Analysis & Forecasting

This project demonstrates real-world stock market analysis and trend forecasting using Python and financial data.

🔧 Tools & Libraries

• Python, Pandas, NumPy
• Matplotlib, Seaborn
• Scikit-learn (Linear Regression)
• Jupyter Notebook / Google Colab

📁 Files

• market_analysis.ipynb: Main notebook for analysis
• sample_stock_data.csv: Simulated dataset for AAPL, AMZN, TSLA
• outputs/: (Optional) Visualizations like trend lines and heatmaps

📈 Project Highlights

• ✅ Trend analysis with moving averages and linear regression
• 📉 Volatility insight using rolling standard deviation
• 🔗 Correlation matrix between stocks
• 💹 Annualized returns comparison

📌 Goal

Demonstrate technical and analytical skills by building a real-world stock analysis pipeline from scratch using clean code and visualizations.

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Feel free to ⭐ the repo if you found it useful!