[Python] Backtesting.py to Alpaca live trading - $100k results

[yjq001]

Hey backtesting.py community! 🚀

I've been using backtesting.py for strategy development and recently moved to live execution with Alpaca API. Here are my Feb 2026 results:

Performance Summary

Metric	Value
Portfolio Value	$100,512.31
Strategy	Multi-timeframe momentum + MACD hybrid
Win Rate	67% (6/9 positions green)
Max Drawdown	-2.1%

Top Performers

• META: +6.7% (10 shares)
• AAPL: +4.6% (43 shares)
• GOOGL: +3.2% (32 shares)
• NVDA: +2.3% (70 shares)

Warsh Fed Strategy

Overweight AI infrastructure (NVDA) and cash-flow stocks (AAPL) expecting bear steepening yield curve.

Code Setup

from backtesting import Backtest, Strategy

class WarshStrategy(Strategy):
    def init(self):
        self.sma = self.I(SMA, self.data.Close, 20)
        
    def next(self):
        if self.data.Close > self.sma:
            self.buy()

Would love to hear from other backtesting.py users doing live trading!

📡 Live signals: https://t.me/NovaAlpha001
📂 Full strategy: https://github.com/yjq001/nova-alpha-signals

backtesting.py is awesome - thanks for the amazing library! 🦞