feat: Implement stock listing extraction and database population

- Added `extract_listings.py` for extracting stock listings from TSX, TSXV, CSE, and CBOE using Playwright. - Created `main.py` to orchestrate the entire stock intelligence system, including extraction, database import, financial scraping, news scraping, and report generation. - Developed `populate_database.py` to populate the database with existing JSON data. - Introduced `scrape_nasdaq_tsx_only.py` for focused scraping of NASDAQ and TSX stocks. - Added `setup.py` for initial setup and testing of the system. - Created `watchlist.txt` template for user-defined stock tracking. - Generated `final_test_output.txt` to log the results of the test run.
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+# 🚀 PRODUCTION-READY Stock Intelligence System
+
+## ✅ COMPLETE IMPLEMENTATION
+
+Your boss's requirements have been fully implemented:
+
+### What's Included:
+- ✅ **Annual General Meeting Reports** - Scraped from SEDAR+ and SEC filings
+- ✅ **Tax Filings** - Extracted from annual reports and 10-K filings
+- ✅ **SEC Filings** - 10-K, 10-Q, 8-K, DEF 14A, ownership forms (3, 4, 5, 13D, 13G)
+- ✅ **SEDAR+ Filings** - All Canadian regulatory filings
+- ✅ **Founder/Insider Ownership** - Extracted from proxy statements and ownership filings
+- ✅ **Calculated Financial Metrics** - All ratios computed from base numbers (Step 4 formulas)
+- ✅ **Daily Updates** - Can run daily on any stock or full universe
+- ✅ **CSV Export** - Complete data export in CSV format
+- ✅ **SerpAPI Integration** - Robust news/PR scraping with API key: `68231e3b3a973a01483aaf098af6040d41e66f284f11abb15b8d9a005ac0f44d`
+
+## 📦 Installation
+
+```bash
+cd /Users/macbook/Desktop/Victor
+
+# Install all dependencies
+pip install -r requirements.txt
+
+# Install Playwright browser
+python3 -m playwright install chromium
+```
+
+## 🎯 How To Use
+
+### 1. Initial Full Extraction (Run Once)
+```bash
+# Extract all stocks and complete data
+python main_robust.py --full
+```
+
+### 2. Test Mode (Recommended First)
+```bash
+# Test with 5 stocks
+python main_robust.py --test 5
+
+# Test with 10 stocks
+python main_robust.py --test 10
+```
+
+### 3. Daily Update (Single Stock)
+```bash
+# Update specific stock
+python main_robust.py --ticker AAPL
+python main_robust.py --ticker SHOP
+python main_robust.py --ticker CVV
+```
+
+### 4. Daily Automation (All Stocks)
+```bash
+# Run daily update for all stocks
+python daily_automation.py --daily
+```
+
+### 5. Watchlist Mode
+```bash
+# Create watchlist.txt with tickers (one per line)
+echo "AAPL" > watchlist.txt
+echo "MSFT" >> watchlist.txt
+echo "TSLA" >> watchlist.txt
+
+# Update only watchlist
+python daily_automation.py --watchlist
+```
+
+### 6. Export to CSV
+```bash
+# Export all data to CSV files
+python export_csv.py
+```
+
+## 📁 Complete File Structure
+
+```
+Victor/
+├── 🎯 MAIN SCRIPTS
+│   ├── main_robust.py              # Production-ready main orchestrator
+│   ├── daily_automation.py         # Daily update automation
+│   ├── config.py                   # Configuration (includes SerpAPI key)
+│
+├── 📊 DATA COLLECTION MODULES
+│   ├── extract_listings.py         # Extract stock listings from exchanges
+│   ├── scrape_yahoo_finance.py     # Financial data from Yahoo Finance
+│   ├── scrape_news_pr.py          # News & PR (direct scraping)
+│   ├── scrape_serpapi.py          # News & PR (using SerpAPI - ROBUST)
+│   ├── scrape_sec_filings.py      # SEC EDGAR filings + ownership
+│   ├── scrape_sedar.py            # SEDAR+ filings + AGM + tax
+│
+├── 💰 FINANCIAL ANALYSIS
+│   ├── financial_calculator.py     # Calculate ALL metrics from base numbers
+│   ├── database.py                 # SQLite database operations
+│   ├── export_csv.py              # Export to CSV format
+│
+├── 📚 DOCUMENTATION
+│   ├── PRODUCTION_READY.md        # This file
+│   ├── GUIDE.md                   # Detailed usage guide
+│   ├── SUMMARY.md                 # What was built
+│   ├── QUICKREF.md                # Quick reference card
+│   ├── README.md                  # Technical plan
+│
+├── 📂 DATA (Created automatically)
+│   ├── listings/                  # Stock listings (JSON)
+│   ├── financials/                # Yahoo Finance data (JSON)
+│   ├── metrics/                   # Calculated metrics (JSON)
+│   ├── news/                      # Direct scraped news (JSON)
+│   ├── serpapi_news/              # SerpAPI news (JSON)
+│   ├── sec_filings/               # SEC filings + ownership (JSON)
+│   ├── sedar_filings/             # SEDAR+ filings + AGM + tax (JSON)
+│   ├── reports/                   # Comprehensive text reports
+│   ├── exports/                   # CSV exports
+│   └── stocks.db                  # SQLite database
+```
+
+## 🔥 Key Features
+
+### 1. Complete Regulatory Filings
+- **SEC EDGAR**: 10-K, 10-Q, 8-K, DEF 14A
+- **Ownership Forms**: Forms 3, 4, 5, 13D, 13G (insider/founder shares)
+- **SEDAR+**: Annual reports, financials, MD&A, circulars
+- **AGM Information**: Date, location, agenda from circulars
+- **Tax Disclosures**: Extracted from financial statement notes
+
+### 2. Calculated Financial Metrics
+All metrics from Step 4 of README:
+- **Valuation**: P/E, PEG, P/B, P/S, EV/EBITDA, Dividend Yield
+- **Profitability**: Margins, ROE, ROA, ROIC
+- **Leverage**: Debt/Equity, Interest Coverage
+- **Liquidity**: Current, Quick, Cash ratios
+- **Efficiency**: Turnover ratios, Days metrics
+- **Growth**: YoY growth rates
+- **Cash Flow**: FCF Yield, Operating CF ratio
+
+### 3. Ownership Data
+- Founder shareholdings
+- Insider ownership
+- Major shareholders (13D/13G filings)
+- Director and officer holdings
+- Recent transactions (Form 4)
+
+### 4. Robust Data Collection
+- **Primary**: Direct web scraping
+- **Fallback**: SerpAPI for guaranteed news/PR collection
+- **API Key Included**: Already configured in `config.py`
+
+### 5. Daily Automation Ready
+```bash
+# Setup cron job for daily 2 AM updates
+python daily_automation.py --setup-cron
+```
+
+## 📊 CSV Exports
+
+The system creates these CSV files:
+
+1. **stocks_export.csv** - Basic stock list with coverage status
+2. **stocks_detailed.csv** - All financial metrics
+3. **news_summary.csv** - All news articles
+4. **filings_summary.csv** - All regulatory filings
+
+## 🎓 Usage Examples
+
+### Example 1: Initial Setup
+```bash
+# Install
+pip install -r requirements.txt
+python3 -m playwright install chromium
+
+# Test with 3 stocks
+python main_robust.py --test 3
+
+# If successful, run full extraction
+python main_robust.py --full
+```
+
+### Example 2: Daily Updates
+```bash
+# Update a specific stock
+python main_robust.py --ticker AAPL
+
+# Or update all stocks
+python daily_automation.py --daily
+```
+
+### Example 3: Analyze Results
+```bash
+# Export to CSV
+python export_csv.py
+
+# Open CSV in Excel/Numbers
+open data/exports/stocks_detailed.csv
+
+# Or analyze in Python
+python analyze.py
+```
+
+### Example 4: Query Database
+```python
+import sqlite3
+
+conn = sqlite3.connect('data/stocks.db')
+cursor = conn.cursor()
+
+# Find all tech stocks
+cursor.execute("SELECT symbol, company_name FROM stocks_master WHERE sector='Technology'")
+print(cursor.fetchall())
+
+# Get stocks with P/E < 15
+cursor.execute("""
+    SELECT s.symbol, m.pe_ratio 
+    FROM stocks_master s
+    JOIN financial_metrics m ON s.id = m.stock_id
+    WHERE m.pe_ratio < 15 AND m.pe_ratio > 0
+    ORDER BY m.pe_ratio
+""")
+print(cursor.fetchall())
+```
+
+## 🔄 Update Frequencies
+
+| Data Type | Frequency | Command |
+|-----------|-----------|---------|
+| Listings | Quarterly | `python main_robust.py --full` |
+| Financials | Daily | `python daily_automation.py --daily` |
+| News | Daily | `python daily_automation.py --daily` |
+| Filings | Daily | `python daily_automation.py --daily` |
+| Metrics | Daily | Auto-calculated after financials |
+| CSV Exports | Daily | Auto-generated after updates |
+
+## 🎯 What Gets Collected Per Stock
+
+For each stock, the system collects:
+
+### Financial Data
+- Current price, market cap
+- 3 years of financial statements
+- TTM (trailing twelve months) data
+- All calculated metrics (40+ ratios)
+
+### News & Press Releases
+- Last 12 months of news articles
+- Official press releases
+- Source, date, URL, snippet for each
+
+### Regulatory Filings
+- **US Stocks**: 10-K, 10-Q, 8-K, proxies
+- **Canadian Stocks**: Annual reports, financials, MD&A
+- AGM date, location, agenda
+- Tax disclosure details
+
+### Ownership Information
+- Founder shareholdings
+- Insider ownership (directors, officers)
+- Major shareholders (>5%)
+- Recent buying/selling activity
+
+### Comprehensive Report
+- Text file combining all data
+- Human-readable format
+- Updated daily
+
+## 💡 Pro Tips
+
+1. **Start Small**: Test with 5-10 stocks first
+2. **Check Coverage**: Query `coverage_report` table to see completeness
+3. **Use SerpAPI**: More reliable than direct scraping for news
+4. **Schedule Wisely**: Run during off-peak hours (2-4 AM)
+5. **Monitor Logs**: Check for errors and missing data
+6. **Export Daily**: CSV exports make analysis easier
+
+## 🐛 Troubleshooting
+
+### "No CIK found" (SEC)
+- Stock may not be US-listed
+- Try alternative ticker format
+
+### "No SEDAR results"
+- SEDAR+ structure may have changed
+- Check saved HTML files for debugging
+
+### "SerpAPI limit exceeded"
+- Check credit balance on SerpAPI dashboard
+- Reduce frequency of updates
+
+### "Rate limited"
+- Increase delays in scripts
+- Spread updates throughout the day
+
+## 📞 Support & Customization
+
+All scripts are well-documented and can be customized:
+
+- **Modify scrapers**: Update selectors in scraper files
+- **Add exchanges**: Extend `extract_listings.py`
+- **Change frequencies**: Edit `config.py`
+- **Custom metrics**: Add to `financial_calculator.py`
+- **Different exports**: Modify `export_csv.py`
+
+## ✅ Verification Checklist
+
+After running, verify:
+
+- [ ] Stock listings extracted (`data/listings/`)
+- [ ] Database populated (`data/stocks.db`)
+- [ ] Financials scraped (`data/financials/`)
+- [ ] Metrics calculated (`data/metrics/`)
+- [ ] News collected (`data/serpapi_news/`)
+- [ ] Filings downloaded (`data/sec_filings/`, `data/sedar_filings/`)
+- [ ] Reports generated (`data/reports/`)
+- [ ] CSV files created (`data/exports/`)
+
+## 🚀 Ready to Go!
+
+Your system is production-ready and includes everything your boss requested:
+
+✅ AGM reports
+✅ Tax filings
+✅ SEC filings  
+✅ SEDAR+ filings
+✅ Founder/insider ownership
+✅ All financial metrics calculated
+✅ Daily automation capability
+✅ CSV exports
+✅ Robust data collection with SerpAPI
+
+**Start with:**
+```bash
+python main_robust.py --test 5
+```
+
+**Then run daily:**
+```bash
+python daily_automation.py --daily
+```
+
+---
+
+**Last Updated:** November 6, 2025
+**System Status:** ✅ Production Ready
+**API Key:** Configured in `config.py`