Strategy: The Great Compounder for QQQ

Trades generated by this strategy are available to paid subscribers

The Great Compounder for QQQ is a long-only, rule-based swing trading strategy that tries to capitalize on the highly mean-reverting characteristic of the NASDAQ 100 stock index.

It can be traded on NASDAQ 100 index ETFs like QQQ, QLD, TQQQ, index options or NQ_F, MNQ_F futures.

This strategy triggers near the market close and typically holds a position for 3 days.

One interesting aspect of this strategy is its affinity for volatility; while it’s long-only, it performs well regardless of the overall stock market direction, even during downtrends. Our backtests have shown that while using trend filters can achieve slightly smaller drawdowns, this actually decreases its performance significantly, leading us to opt out of using them.

The Great Compounder for QQQ, on average, executes 11 trades per year. It typically trades more frequently in volatile markets and less so during periods of relative calm.

This is one of our flagship strategies and a great example of the power of capital compounding. Thanks to holding positions only for short periods of time, it's a perfect fit as part of a portfolio of diversified trading strategies.

Despite the similar name to our Great Compounder strategy for SPY, this strategy follows a different set of rules, while the core concept of capital compounding remains the same.

The P&L chart of this strategy looks as follows (QQQ, no leverage, $100K account):

Strategy backtest results: A green line demonstrates capital gains (cumulative Profit & Loss), a blue line represents QQQ ETF buy-and-hold strategy, and purple bars in the background display drawdowns

Strategy statistics:

• Net Profit: 2,125.03%

• Max Drawdown: 24.88%

• Total Closed Trades: 386

• Percent profitable: 68.13%

• Profit factor: 1.969

TradeMachine subscribers receive email alerts with position updates each time this strategy enters or exits a trade. Some strategies include take-profit and stop-loss price levels.

Past performance is not indicative of future results. Results based on simulated or hypothetical performance have certain inherent limitations. All posts are subject to the disclaimer on the About page.