A comprehensive tool for analyzing Warren Buffett's "Owner Earnings" from financial statement data with NEW Fair Value Calculation using DCF methodology.

NEW FEATURE: Calculate intrinsic fair value using Owner Earnings DCF methodology!

• 📊 DCF Analysis: Uses 10-year average Owner Earnings as future cash flow
• 💰 Fair Value Calculation: Discounts cash flows using 10-year Treasury rate
• 🎯 Scenario Analysis: Conservative, Base Case, Optimistic, and Pessimistic valuations
• 💡 Balance Sheet Adjustments: Accounts for cash, investments, and debt
• 📈 Per-Share Valuation: Calculates intrinsic value per share
• 🖥️ GUI Integration: Easy-to-use interface with input dialogs
• 💻 CLI Support: Full command-line interface for power users

# Calculate fair value for Apple
ms fair-value --ticker AAPL --growth 0.03 --cash 100000000000 --debt 20000000000 --shares 15000

# Or use the GUI
ms gui
```ketSwimmer - Owner Earnings Analysis Tool 🏊‍♂️📈

A comprehensive tool for analyzing Warren Buffett's "Owner Earnings" from financial statement data.

## � **v2.1.0 - What's New**

✅ **Complete Data Processing Pipeline**: Automated XLSX-to-CSV conversion for seamless workflow
✅ **Real Quarterly Data**: Proper quarter-by-quarter financial analysis (not just annual duplicates)
✅ **Professional Visualizations**: 3 chart types with recent years focus
✅ **Smart Download Detection**: Automatically detects XLSX files in Downloads folder
✅ **Clean Color Scheme**: Improved white/blue theme for better readability

## 📦 **Installation**

```bash
pip install marketswimmer

# Launch GUI
marketswimmer gui

# Process downloaded data
python process_financial_data.py TICKER

# Create visualizations
marketswimmer visualize --ticker TICKER

# Full analysis
marketswimmer analyze TICKER

1. Launch GUI: marketswimmer gui or double-click launch_clean_gui.bat
2. Select Ticker: Choose a stock symbol (e.g., AAPL, MSFT, BRK.B)
3. Download Data: System opens StockRow page for manual data download
4. Process Data: Run python process_financial_data.py TICKER
5. Analyze: Use GUI "Calculate Owner Earnings" and "Create Visualizations" buttons

• Charts: charts/[ticker]_*.png - Visual analysis charts
• Data: data/owner_earnings_*.csv - Raw analysis data
• Logs: logs/marketswimmer_*.log - Application logs

Owner Earnings = Net Income + Depreciation/Amortization - CapEx - Working Capital Changes

• ✅ Ticker-specific analysis
• ✅ Annual and quarterly data processing
• ✅ Professional visualizations
• ✅ Automated chart generation
• ✅ Clean directory organization
• ✅ Comprehensive logging

• Python 3.12+
• pandas, matplotlib, seaborn
• PyQt6 (for GUI)
• Internet connection (for data download)