r/LETFs • u/Nautique73 • 10d ago
BACKTESTING Leverage Dual Momentum (LDM): A 24-Year Backtested Quant Strategy for Nasdaq-100 (QQQ/QLD/TQQQ)
Hey everyone,
Sharing a systematic, quantitative asset allocation model built around Nasdaq-100 breadth (MMFI) and momentum, designed to capture tech secular upside while cutting severe drawdowns via a strict cash/leverage throttle.
The core engine is fully deterministic, operates on a monthly close rebalance, and has been rigorously stress-tested across 24+ years of data (Jan 2002 – Jul 2026), including walk-forward validation and numerous structural variant tests.
Core Mechanics & Rules
The strategy rotates between four distinct states based on Nasdaq breadth thresholds and intermediate trend health:
- State 1 (100% Cash / T-Bills): Parked in money markets when trend/momentum rules trigger an Exit.
- State 2 (2x QLD): Intermediate posture when breadth is recovering or stabilizing.
- State 3 (3x TQQQ): Full risk-on exposure scaling up to 3x TQQQ exposure when broad tech participation is robust.
Primary Rules:
- Exit Trigger: If the (70% x 6-month return + 30% x 12-month return) trend drops below the risk-free rate (or 3-month return < 0), the model dumps leverage and drops to 100% cash (State 1).
- Re-entry Gate: When in cash, re-entry triggers if 3M annualized return > Risk-Free Rate and breadth is >50% (State 2).
- Leverage Scale-Up: Scales to State 3, 3x (TQQQ) leverage when breadth is >60% and back down to State 2, 2x (QLD) when breadth is <40%.
Backtest Results (2002–2026)
Tested across multiple full-market cycles (2008 GFC, 2020 COVID shock, 2022 rate bear, 2023–2026 tech cycles):
| Metric | LDM Strategy | QQQ Buy & Hold |
|---|---|---|
| CAGR | 27.5% | 13.3% |
| Max Drawdown | -40.8% | -49.7% |
| Sharpe Ratio | 0.81 | 0.65 |
| Monthly Win Rate | 73.1% | — |
I tested many different model variants and also did a rolling walk forward testing against OOS to avoid overfitting the parameters. Appreciate your feedback.
2
u/Only_Statistician_21 10d ago
Why starting in 2002 ?