Smart Investment Advisor

A data-driven financial advisor built with Python, leveraging real-time stock data, portfolio optimization, and forecasting using machine learning.

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Features

• Data Collection: Automatically pulls historical stock data using yfinance
• Portfolio Optimization: Simulates thousands of portfolios with different risk-return profiles using Monte Carlo simulations
• Sharpe Ratio Analysis: Identifies the optimal portfolio based on risk-adjusted returns
• Forecasting Module: Uses Facebook Prophet to forecast stock prices
• Visualizations: Portfolio simulation chart, forecasted stock trends

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Technologies Used

• Python
• Pandas, NumPy, Matplotlib
• yFinance
• fbprophet (Prophet)
• Seaborn
• Scikit-learn

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Files Included

• Smart_Investment_Advisor.ipynb: Main Jupyter notebook
• portfolio_simulation.png: Portfolio optimization visualization
• forecast_prophet.png: Forecasted stock trends
• requirements.txt: Python dependencies

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Disclaimer

This tool is for educational purposes only. It does not constitute financial advice.