Stock Market Trend Analysis & Price Prediction System

Built a comprehensive analysis system for tracking and predicting stock market trends using historical data from major Egyptian and international stocks. Implemented technical indicators (RSI, MACD, Moving Averages) and created predictive models using machine learning algorithms. Developed automated alerts for buy/sell signals and risk assessment metrics. The model achieved 78% accuracy in predicting short-term price movements. Created detailed reports showing correlation between market events and stock performance.

Key Skills: Machine Learning, Time Series Analysis, Financial Modeling, Predictive Analytics

Tools Used: Python, Scikit-learn, TradingView API, Pandas, NumPy, Plotly

Duration: 5 weeks