Backtrader (Python) Integration

Backtrader Python Integration

Backtrader is a popular open-source Python backtesting framework with a clean API for algorithmic trading strategy development. It provides built-in data feeds, commission models, performance metrics, and optimization capabilities.

Key Features

• Event-driven backtesting engine
• Multi-timeframe support
• Portfolio analysis and metrics
• Walk-forward and optimization
• Real-time trading capability
• Multi-exchange support via ccxt

Basic Strategy Example

import backtrader as bt

class MyStrategy(bt.Strategy):
    def __init__(self):
        self.sma = bt.indicators.SimpleMovingAverage(self.data.close, period=20)

    def next(self):
        if self.data.close[0] > self.sma[0]:
            if not self.position:
                self.buy()
        elif self.position:
            self.sell()

# Create cerebro engine
cerebro = bt.Cerebro()
cerebro.addstrategy(MyStrategy)
cerebro.broker.setcash(100000.0)

# Add data and run
data = bt.feeds.YahooFinanceData(dataname='AAPL')
cerebro.adddata(data)
cerebro.run()

Backtrader is ideal for rapid algorithm development and testing before live trading.