Paper Trading & Live Trading

Set up paper trading, understand order execution, real-time data feeds, and transition to live trading.

Paper Trading

Benefits

• Test strategies without risk
• Learn order execution
• Build confidence
• Refine strategies

Paper Trading Platforms

• Interactive Brokers Paper Trading: Free, realistic
• TD Ameritrade thinkorswim: PaperMoney
• Alpaca: API-based paper trading
• QuantConnect: Cloud-based backtesting and paper trading

Order Execution

Order Types

# Market order: Execute immediately
order = {
    'symbol': 'AAPL',
    'quantity': 100,
    'order_type': 'market',
    'side': 'buy'
}

# Limit order: Execute at specified price
order = {
    'symbol': 'AAPL',
    'quantity': 100,
    'order_type': 'limit',
    'price': 150.00,
    'side': 'buy'
}

Slippage

• Difference between expected and actual execution price
• Minimize with limit orders
• Consider market impact

Real-Time Data

Data Feeds

# Using Alpaca API (example)
import alpaca_trade_api as tradeapi

api = tradeapi.REST(api_key, api_secret, base_url, api_version='v2')

# Get real-time data
bars = api.get_bars('AAPL', '1Min', limit=100)

Streaming Data

# Stream real-time quotes
async def trade_callback(t):
    print(f"Trade: {t}")

api.subscribe_trades(trade_callback, 'AAPL')

Live Trading Considerations

Risk Management

• Start with small position sizes
• Use stop losses
• Monitor positions closely
• Set daily loss limits

Monitoring

# Monitor portfolio
def monitor_positions():
    positions = api.list_positions()
    for pos in positions:
        print(f"{pos.symbol}: {pos.qty} @ ${pos.avg_entry_price}")

Key Takeaways

• Paper Trade First: Test without risk
• Order Execution: Understand different order types
• Real-Time Data: Get live market data
• Risk Management: Essential for live trading
• Start Small: Begin with small positions

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