📊 Stock and Revenue Visualization Tool

This project demonstrates how to fetch, process, and visualize historical stock prices and revenues for companies like Tesla and GameStop using Python. 📈📉 The visualizations are created with Plotly, providing interactive and insightful graphs for analysis.

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🚀 Features

• Fetch Historical Stock Data: Uses Yahoo Finance to retrieve stock data 📅.
• Extract Revenue Data: Scrapes HTML tables to obtain revenue information from provided URLs 💻.
• Interactive Graphs: Combines stock price and revenue data into an interactive dual-subplot visualization 📊.
• Export as HTML: Saves the visualizations for easy sharing and offline viewing 🌐.

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📁 File Structure

|-- main.py            # The primary script containing all functionality
|-- requirements.txt   # Dependencies for the project
|-- README.md          # Project documentation

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🔧 Dependencies

• yfinance for fetching stock data
• pandas for data manipulation
• plotly for interactive visualizations
• requests for web scraping
• beautifulsoup4 for parsing HTML content

🛠️ Functions Explained

1️⃣ make_graph(stock_data, revenue_data, stock)

• Purpose: Combines historical stock prices and revenues into a dual-plot interactive graph.
• Input:
  • stock_data - Stock price data (DataFrame)
  • revenue_data - Revenue data (DataFrame)
  • stock - Stock name (string)
• Output: Displays the graph and saves it as an HTML file (<stock>_revenue_graph.html) 📂.

2️⃣ Tesla Stock and Revenue Processing

• Fetch Stock Data:
  • Uses yfinance to fetch historical Tesla data.
  • Resets index and prepares the DataFrame for plotting.
• Fetch Revenue Data:
  • Scrapes Tesla revenue data from a provided URL using requests and BeautifulSoup.
  • Cleans and processes the revenue data for visualization.

3️⃣ GameStop Stock and Revenue Processing

• Similar process to Tesla:
  • Stock data fetched with yfinance.
  • Revenue data scraped from a provided URL, cleaned, and processed.

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📊 Visualization

Tesla Graph Example

• Top Plot: Tesla's stock prices over time.
• Bottom Plot: Tesla's revenue over time.
• Interactive: Zoom, pan, and hover over data points for details!

GameStop Graph Example

• Same structure as Tesla but focused on GameStop.

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⚙️ How It Works

1. Fetch Data:
   • Stock data: yfinance.Ticker("TSLA").history(period="max")
   • Revenue data: Scraped from HTML tables.
2. Clean and Process:
   • Remove unwanted characters (e.g., $, ,) from revenue data.
   • Filter rows to focus on relevant data.
3. Visualize:
   • Combine data using Plotly's make_subplots.
   • Customize layouts, titles, and interactivity.
4. Export:
   • Save visualizations as standalone HTML files.

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📝 Example Output

Code Execution Example:

make_graph(tesla_data, tesla_revenue, 'Tesla')
make_graph(gamestop_data, gamestop_revenue, 'Gamestop')

Output:

• Tesla_revenue_graph.html
• Gamestop_revenue_graph.html

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🌟 Key Highlights

• User-Friendly: Generates HTML graphs that can be opened in any browser.
• Customizable: Easily switch stock tickers or URLs for other companies.
• Scalable: Add more companies or metrics with minimal code changes.

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🛡️ Disclaimer

• This project is for educational purposes only.
• Data is retrieved from public APIs and sources. Ensure compliance with data usage policies.