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Global Stock Trading Dashboard

An interactive stock market analysis dashboard developed using Python, Streamlit, and Plotly. This project allows users to explore historical stock data from multiple countries through a clean and professional trading-style interface. It is designed to make stock price analysis simple, visual, and easy to understand.

Project Overview

The dashboard enables users to:

  • Select a country
  • Choose a company
  • Filter data by custom date range
  • View stock price movement using Line or Candlestick charts
  • Analyze trading volume
  • Understand overall stock performance using key metrics

All insights are displayed on a single page for better clarity and presentation.

Key Features

  • Country-wise stock filtering
  • Company-specific analysis
  • Custom date range selection
  • Line chart visualization
  • Candlestick chart for detailed price movement
  • Volume analysis
  • Key performance metrics:
    • Current Price
    • Highest Price
    • Lowest Price
    • Percentage Return
  • Automatic trend indication (Uptrend / Downtrend)

Purpose of the Project

The purpose of this project is to develop an interactive stock market analysis dashboard that simplifies financial data visualization and interpretation. By applying time-series analysis and dashboard development techniques, the system enables users to explore historical stock performance, price trends, and trading activity in a structured and user-friendly manner. This project demonstrates the practical implementation of data analytics concepts in the financial domain through a clean and professional interface.

Technologies Used

  • Python
  • Streamlit
  • Pandas
  • Plotly

📂 Project Structure

About

An interactive Global Stock Trading Dashboard built with Python, Streamlit, and Plotly that enables users to analyze historical stock prices, trends, and trading activity across multiple countries through a clean and professional trading-style interface.

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