DeployQuantDrawdown Dip Buyer + 8% Target vs SMA 10/50 Trend
Two rule sets, 59 ETFs, one engine and one window.
| dip buyer | SMA 10/50 trend | |
|---|---|---|
| Median CAGR (59 ETFs) | 1.3% | 2.1% |
| Median max drawdown | −26.2% | −23.0% |
| ETFs won (by CAGR) | 17 | 42 |
| Style | assets that sell off hard and recover; it trades volatility without chasing strength | trending assets with multi-week swings, such as leveraged index ETFs |
Where the gap was biggest
| ETF | dip buyer | SMA 10/50 trend | gap |
|---|---|---|---|
| SOXX | 27.5% | 7.7% | 19.8% |
| FAS | 24.1% | 4.6% | 19.5% |
| TMF | −29.8% | −10.7% | 19.2% |
| TECS | −45.3% | −27.1% | 18.3% |
| SQQQ | −39.2% | −21.1% | 18.1% |
| EEV | −9.9% | −24.4% | 14.5% |
| QID | −27.1% | −13.1% | 14.0% |
| REW | −33.5% | −19.8% | 13.8% |
| CLSE | 3.4% | 16.6% | 13.3% |
| IAU | −0.8% | 10.8% | 11.5% |
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Frequently asked questions
Which is better: dip buyer or SMA 10/50 trend?
On this 2021-01-04 to 2026-10-02 window, SMA 10/50 trend produced the higher CAGR on 42 of 59 ETFs. Median CAGR: dip buyer 1.3% vs SMA 10/50 trend 2.1%; median max drawdown: 26.2% vs 23.0%. Which is better depends on the asset and what you optimize for. The per-ETF table shows where each wins.
Dig deeper
Backtests are hypothetical, computed by DeployQuant's engine on minute-resolution consolidated US market data (2021-01-04 to 2026-10-02, $10,000 starting capital, no margin, no fees or slippage in the headline run; buy-and-hold puts 98% of the account in at the first open, as the templates do) and do not guarantee future results. Nothing on this page is investment advice. Live trading involves risk of loss.