dividend-manager

Files (2)

• SKILL.md
• dividend_tracker.py · scripts/

SKILL.md (first lines)

# Dividend Manager

Vollautomatisches Dividenden-Tracking und Reinvestment.

## Overview

- **Dividend Tracking** - Alle Ausschüttungen erfassen
- **DRIP Automation** - Automatische Wiederanlage
- **Income Forecast** - Zukünftige Einnahmen planen
- **Portfolio Optimization** - Yield vs Growth Balance

## 🤖 AUTO-PILOT MODE

```python
# ~/.kit/config/dividend-manager.json
{
  "auto_pilot": {
    "enabled": true,
    "drip": {
      "enabled": true,
      "mode": "same_stock",  # same_stock | diversify | accumulate_cash
      "min_reinvest_eur": 25,
      "require_approval": false
    },
    "alerts": {
      "ex_dividend_reminder_days": 3,
      "payment_notification": true,
      "yield_change_threshold_pct": 10
    },
    "rebalance": {
      "target_yield_pct": 4.0,
      "max_single_position_pct": 10
    },
    "tax_optimization": {
      "use_sparerpauschbetrag": true,
      "freistellungsauftrag_eur": 1000
    }
  }
}
```

## Commands

### Track Dividend Portfolio

```bash
python3 -c "
import yfinance as yf

portfolio = [
    {'symbol': 'AAPL', 'shares': 50},
    {'symbol': 'MSFT', 'shares': 30},
    {'symbol': 'JNJ', 'shares': 40},
    {'symbol': 'KO', 'shares': 100},
    {'symbol': 'O', 'shares': 75},  # Realty Income (monthly)
]

print('💰 DIVIDEND PORTFOLIO')
print('=' * 70)
print(f'{\"Symbol\":8} {\"Shares\":>8} {\"Price\":>10} {\"Div/Share\":>10} {\"Yield\":>8} {\"Annual\":>10}')
print('-' * 70)

total_value = 0
total_annual_div = 0

for p in portfolio:
    try:
        stock = yf.Ticker(p['symbol'])
        info = stock.info
        
        price = info.get('currentPrice', info.get('regularMarketPrice', 0))
        div_rate = info.get('dividendRate', 0) or 0
        div_yield = info.get('dividendYield', 0) or 0
        
        position_value = p['shares'] * price
        annual_div = p['shares'] * div_rate
        
        total_value += position_value
        total_annual_div += annual_div
        
        print(f\"{p['symbol']:8} {p['shares']:>8} \${price:>9.2f} \${div_rate:>9.2f} {div_yield*100:>7.2f}% \${annual_div:>9.2f}\")
    except Exception as e:
        print(f\"{p['symbol']:8} Error: {e}\")

print('-' * 70)
portfolio_yield = (total_annual_div / total_value * 100) if total_value > 0 else 0
print(f'{\"TOTAL\":8} {\"\":>8} \${total_value:>9,.2f} {\"\":>10} {portfolio_yield:>7.2f}% \${total_annual_div:>9,.2f}')
print()
print(f'📅 Monthly Income: \${total_annual_div/12:,.2f}')
"
```

### Upcoming Dividends Calendar

```bash
python3 -c "
import yfinance as yf
from datetime import datetime, timedelta

portfolio = ['AAPL', 'MSFT', 'JNJ', 'KO', 'O', 'VZ', 'PG']

print('📅 UPCOMING DIVIDENDS')
print('=' * 60)

upcoming = []

for symbol in portfolio:
    try:
        stock = yf.Ticker(symbol)
        cal = stock.calendar
        
        if cal is not None and not cal.empty:
            ex_date = cal.get('Ex-Dividend Date')
            if ex_date:
                upcoming.append({
                    'symbol': symbol,
                    'ex_date': ex_date,
                    'dividend': stock.info.get('dividendRate', 0) / 4  # Quarterly
                })

From Signal-Execution-Labs/forex-trading-ai-agent, MIT.

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