看班上討論， 自己建了一個簡單策略。打字快些，換了英文。這個策略很簡陋，可以再改進。就作為拋磚引玉。。。
Inspired by the SPMO, I build a customized momentum strategy, back tested with last 5 years data (9/2020 ~ 9/2025).
Stragegy: from Mag7 pick the top 5 stocks based on previous 9 months stock price performance, and buy equally weights. then rebalance every 3 months.
The momentum strategy significantly outperformed all benchmarks, capturing AI/tech surges (e.g., heavy NVDA weighting in 2023–2025) while rotating out of laggards.
Summary Performance:
| Metric | Momentum Strategy | No Balance (7 Stocks) | SPY (Buy & Hold) | VGT (Buy & Hold) |
|---|---|---|---|---|
| Final Portfolio Value | $14.28 | $10.85 | $2.12 | $4.56 |
| Total Return | +1,328% | +985% | +112% | +356% |
| Annualized Return | ~88% | ~72% | ~16% | ~34% |
| Max Drawdown | -32% (Q2 2022) | -36% (Q2 2022) | -25% (Q2 2022) | -33% (Q2 2022) |
| Volatility (Std Dev) | 26% | 28% | 15% | 22% |
The strategy's edge comes from dynamic selection, e.g., favoring NVDA/TSLA during rallies and avoiding META/AMZN in 2022 downturns. VGT (tech-focused) outperformed SPY but trailed the strategy due to fixed weighting.
Risks: Higher volatility from concentration in growth stocks
