QQQetf-strategyNEUTRAL

QQQ Sector Rotation

64% Win Rate35% confidenceWeekly rebalance

Tech sector momentum strategy that rotates between QQQ and defensive cash positions based on Nasdaq's relative strength vs SPY and internal sector breadth. Designed to ride tech leadership phases and avoid tech corrections.

πŸ“‘ Current Signal

NEUTRALUpdated: 2026-02-25

QQQ $617. SPY leading: +4.0% vs QQQ +2.0% (3mo). RSI=57. Tech rotation weak.

πŸ“Š Indicators

QQQ/SPY RatioNasdaq Breadth %SMA(50)20-Day Slope

πŸ§ͺ Backtest Results

PeriodJan 2015 – Dec 2024
Win Rate64%
CAGR16.8%πŸ”’ Premium
Profit Factor1.72Γ—πŸ”’ Premium
Max Drawdown-15.2%πŸ”’ Premium
Total Trades98πŸ”’ Premium

πŸ“ Methodology

## QQQ Sector Rotation β€” Full Methodology

Β 

### Relative Strength Analysis

1. **QQQ/SPY ratio:** Calculate the trailing 20-day ratio of QQQ to SPY

2. **Ratio trend:** If the ratio is rising (QQQ outperforming SPY), tech is leading

3. **Breadth filter:** Percentage of Nasdaq 100 components above their 50-day SMA must be β‰₯ 55%

Β 

### Entry Criteria

1. QQQ/SPY ratio is rising (20-day slope is positive)

2. Nasdaq breadth β‰₯ 55%

3. QQQ price is above its 50-day SMA

4. Enter long QQQ at the next day's open

5. Rebalance/re-evaluate weekly

Β 

### Exit Rules

- **Sector rotation out:** Exit when QQQ/SPY ratio turns negative for 2 consecutive weeks

- **Breadth deterioration:** Exit if Nasdaq breadth drops below 40%

- **Trailing stop:** 5% below the highest close

- **Rotate to cash (SGOV/T-bills)** when not in QQQ

Β 

### Position Sizing

- Allocate 30–50% of portfolio when signal is active

- This is a strategic allocation, not a trade

Β 

### Best Market Conditions

Works best during tech-led bull markets (2020–2021, 2023–2024 AI rally). QQQ benefits from secular trends in cloud computing, AI, and digital advertising. Underperforms when value/cyclical sectors lead (2022 energy rally).

Β 

### Backtest Notes

Tested on QQQ/SPY relative data from Jan 2015 to Dec 2024. Weekly rebalancing with 0.03% slippage. The breadth filter reduced whipsaw exits by ~30% compared to ratio-only signals.

πŸ”’ Full methodology requires a subscription

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🏷️ Tags

qqqtechrotationetf

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