Stock-Price-Picker The Stock Price Tracker is a comprehensive Python-based tool for analyzing stock market trends and gaining insights into stock performance. It leverages the Alpha Vantage API to fetch real-time and historical stock data, processes the data with Pandas, and visualizes key technical indicators using Matplotlib.
Features: Fetch Stock Data:
Retrieve daily stock price data, including Open, High, Low, Close, and Volume, for any publicly traded stock using its ticker symbol. Technical Indicators:
Moving Averages (MA): 10-day and 20-day simple moving averages to track short-term trends. Relative Strength Index (RSI): A momentum indicator to identify overbought (RSI > 70) and oversold (RSI < 30) conditions. Bollinger Bands: Volatility bands around a 20-day simple moving average to highlight price fluctuations. Visualization:
Plot stock closing prices along with moving averages and Bollinger Bands. Display RSI in a separate chart with clear thresholds for overbought and oversold levels. Interactive, clear, and professional visualizations suitable for presentations. Error Handling:
Includes robust error handling for invalid API keys, incorrect stock symbols, and unexpected data issues. User Input:
Prompts users to enter their API key and stock symbol for dynamic analysis of any stock.
Workflow: The user provides their Alpha Vantage API key and desired stock symbol (e.g., AAPL for Apple Inc.). The program fetches and processes the stock data. Key indicators (Moving Averages, RSI, Bollinger Bands) are calculated. The tool generates detailed visualizations to interpret the stock's performance. Use Cases: Identify short-term and long-term trends in stock prices. Evaluate stock volatility and market momentum. Assist investors in making data-driven decisions. Provide insights for educational and research purposes in financial analysis.
Technologies Used: Python: Core programming language. Pandas: Data analysis and processing. Matplotlib: Data visualization. Alpha Vantage API: Fetching stock market data. Future Enhancements: Add volume analysis and overlay it on the price chart. Compare multiple stocks on a single chart. Include more technical indicators like MACD, Stochastic Oscillators, etc. Save reports and visualizations as PDF or PNG files. Integrate sentiment analysis using news or social media data. This tool is ideal for students, researchers, and beginner traders looking to explore stock market trends with actionable insights and visual analytics.
Hi there, I'm Vijay Kumar! 👋
Welcome to my GitHub profile! I'm passionate about data analysis, visualization, and leveraging technology to create impactful solutions. With a strong interest in digital transformation and cutting-edge technology, I aim to make a difference in healthcare, retail, and community-focused projects.
🛠️ Skills & Tools Data Analysis & Visualization:
Python (Pandas, NumPy, Matplotlib, Seaborn)
Power BI
SQL
Technologies & Frameworks:
Machine Learning (Scikit-learn)
Automation
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Email: vijaybgaddi32@gmail.com LinkedIn: https://www.linkedin.com/in/vijay-kumar070/ Thank you for visiting my profile! Feel free to explore my repositories, and don’t hesitate to reach out if you'd like to collaborate on exciting projects or discuss innovative ideas. 🚀