Add GitHub Pages HTML export for portfolio analysis tables

[Copilot]

Implements automatic HTML table export functionality to enable GitHub Pages publishing of portfolio analysis results from parser.py.

Changes Made

📊 Enhanced parser.py

• Added HTML export functionality for dailymovers and pricetracker DataFrames
• Creates styled HTML tables in docs/ directory with Bootstrap classes
• Combines top performers and worst performers with visual separators
• Added logging for HTML export operations

# Example: Daily movers now exported as HTML
dailymovers_combined = pd.concat([
    dailymovers_top20,
    separator_row,
    dailymovers_bottom20
])
dailymovers_combined.to_html('docs/dailymovers.html', classes='table table-striped table-bordered')

🌐 Created docs/index.html

• Professional landing page with responsive design
• Displays both tables using iframes for seamless integration
• Includes descriptions explaining each analysis table
• Ready for GitHub Pages deployment

🚫 Added .gitignore

• Comprehensive Python project exclusions
• Specifically excludes raw CSVs and logs from docs/ directory
• Prevents sensitive data from being published to GitHub Pages

📖 Updated README.md

• Added GitHub Pages section with setup instructions
• Included local testing commands
• Clear workflow: run parser → push → view on GitHub Pages

Usage

1. Generate tables: python parser.py
2. View locally: Open docs/index.html in browser
3. Deploy: Push to GitHub and enable Pages from docs/ folder
4. Access online: Visit https://[username].github.io/dataparsing/

Result

After running parser.py, users can immediately view:

• Daily Movers: Top 20 gainers/losers based on 1-day price changes
• Price Tracker: 6-month performance analysis with key metrics

The implementation ensures a seamless workflow from data processing to web publishing with no manual HTML creation required.

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