microcap_scrapping/PRODUCTION_READY.md

🚀 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

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)

# Extract all stocks and complete data
python main_robust.py --full

2. Test Mode (Recommended First)

# 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)

# 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)

# Run daily update for all stocks
python daily_automation.py --daily

5. Watchlist Mode

# 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

# 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

# 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

# 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

# Update a specific stock
python main_robust.py --ticker AAPL

# Or update all stocks
python daily_automation.py --daily

Example 3: Analyze Results

# 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

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:

python main_robust.py --test 5

Then run daily:

python daily_automation.py --daily

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Last Updated: November 6, 2025 System Status: ✅ Production Ready API Key: Configured in config.py