cdsvitbhopal / ProjectArena-ML

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Live Stock Visualization #25

Closed Technmad closed 1 year ago

Technmad commented 1 year ago

Title: Creating a Web App to Visualize Stock Market Data using Python Plotly and yfinance API

Issue Description:

Background: Stock market data visualization plays a pivotal role in helping traders, investors, and analysts make informed decisions. Python's Plotly library provides an interactive and dynamic platform for creating visually appealing charts and graphs. Additionally, the yfinance API offers easy access to historical and real-time stock market data, making it a valuable tool for data analysis.

Issue: We aim to create a web application that leverages the power of Plotly and the yfinance API to provide users with a user-friendly and interactive interface for visualizing stock market data. This web app will allow users to select specific stocks, choose a time range, and visualize various stock market metrics in the form of line charts, candlestick plots, and other relevant visualization formats.

Tasks:

  1. Environment Setup:

    • Set up the project environment with the necessary dependencies (Python, Plotly, Fl, yfinance, etc.).
    • Create a virtual environment to manage dependencies.
  2. Data Retrieval:

    • Integrate the yfinance API to fetch historical and real-time stock market data.
    • Implement functionality to allow users to select desired stocks and time ranges.
  3. Visualization:

    • Utilize Plotly to create interactive and dynamic visualizations of the selected stock data.
    • Implement various visualization types like line charts for historical data and candlestick plots for stock price movements.
  4. User Interface:

    • Design the interface to include options for stock selection, time range, and visualization type.
  5. Interactivity:

    • Add interactive features such as zoom, pan, and hover effects to enhance user experience.
    • Implement interactive elements to display additional information when users interact with data points.
  6. Deployment:

    • Deploy the web application to a hosting platform for easy access.
    • Ensure the application is responsive and functional on various devices.
  7. Documentation:

    • Provide clear documentation on how to set up and run the application.
    • Document the API endpoints, parameters, and usage guidelines.
  8. Testing and Bug Fixing:

    • Conduct thorough testing of the web app to identify and resolve any bugs or issues.
    • Test the application's performance with different stocks and time ranges.

Expected Outcome: The successful completion of this project will result in a web application that enables users to visualize stock market data using Python Plotly and the yfinance API. Users will be able to analyze historical stock performance and make informed decisions based on interactive visualizations.

Author: Anurag Kumar Pathak ( 22BCE10929 )