RealTest NASDAQ Momentum Rotation
A RealTest momentum rotation strategy that holds the strongest NASDAQ 100 stocks and re-ranks once a month. It scores momentum across two timeframes rather than one, so it leans toward stocks with steady strength rather than names that have just spiked. An entry filter and automatic position scaling manage the risk. Tested on survivorship-free Norgate data with commissions modeled, and trading live since February 2026.
Validated Four Ways
What Happened in Every Crash
| Crisis | Dates | Strategy | SPY | Same $100k in |
|---|---|---|---|---|
| Dotcom Crash | Mar 2000 – Oct 2002 | -35.7% | -41.8% | |
| 2008 Financial Crisis | Oct 2007 – Mar 2009 | -23.3% | -49.9% | |
| COVID-19 Crash | Feb 2020 – Mar 2020 | -27.1% | -28.7% | |
| 2022 Bear Market | Jan 2022 – Oct 2022 | -24.5% | -21.3% |
Strategy Monthly Returns
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Year | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2000 | -4.3 | 53.4 | -9.8 | -9.0 | -8.2 | 12.0 | 4.5 | 17.3 | -4.7 | -10.4 | -19.5 | 1.4 | 5.8% |
| 2001 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0% |
| 2002 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0% |
| 2003 | 0.0 | 0.0 | 0.0 | 0.0 | 17.3 | -1.3 | 2.8 | 8.9 | -1.3 | 12.1 | 0.3 | -3.3 | 39.2% |
| 2004 | 1.7 | -1.2 | -3.2 | -4.0 | 6.8 | 5.0 | -10.7 | -2.7 | 6.2 | 9.5 | 6.4 | -1.3 | 11.1% |
| 2005 | -5.0 | 4.5 | 0.8 | -4.2 | 3.8 | -3.1 | 4.8 | 3.2 | 6.4 | 4.9 | 8.4 | 2.3 | 29.3% |
| 2006 | 8.3 | -3.9 | 7.0 | 1.4 | -8.0 | 0.1 | 0.0 | -0.6 | 2.0 | 5.9 | 3.7 | 0.4 | 16.4% |
| 2007 | 1.2 | -0.7 | 0.4 | 1.8 | 7.0 | 6.9 | 3.9 | 10.2 | 14.2 | 6.9 | -7.0 | -0.6 | 51.9% |
| 2008 | -16.0 | 1.9 | 1.9 | 1.1 | 6.2 | -9.0 | -1.8 | -0.8 | -0.8 | -1.2 | -0.0 | 0.0 | -18.6% |
| 2009 | 0.0 | 0.0 | 0.0 | 0.0 | -1.6 | 0.1 | 3.8 | 2.0 | 6.0 | -6.1 | 10.4 | 2.2 | 17.2% |
| 2010 | -7.2 | 8.4 | 5.8 | 4.1 | -8.1 | -4.9 | 5.3 | -4.0 | 9.7 | 4.6 | 2.3 | 1.3 | 16.5% |
| 2011 | 1.1 | 5.2 | 4.7 | 4.9 | -3.1 | 1.6 | -1.6 | -4.9 | -3.2 | 2.0 | 1.0 | 1.0 | 8.4% |
| 2012 | 5.2 | 4.9 | 6.5 | 2.6 | -4.8 | 0.9 | 0.8 | 4.7 | 1.8 | -6.9 | 0.2 | 1.0 | 17.3% |
| 2013 | 3.7 | 1.9 | 7.2 | 0.1 | 6.5 | -0.7 | 7.8 | -0.3 | 11.6 | -1.7 | 6.8 | 2.8 | 55.3% |
| 2014 | 6.8 | 7.7 | -7.0 | -0.5 | 6.6 | 8.1 | -3.4 | 8.3 | 0.8 | 2.0 | 5.1 | -1.0 | 37.1% |
| 2015 | -0.3 | 6.2 | -1.3 | -3.0 | 5.8 | -2.7 | 3.8 | -5.9 | -3.4 | 5.0 | 3.6 | -0.0 | 7.1% |
| 2016 | -8.5 | -3.1 | 5.2 | 1.0 | 5.7 | 0.7 | 7.1 | 2.2 | 3.5 | -0.9 | 7.9 | 4.1 | 26.5% |
| 2017 | 9.7 | 0.7 | 3.9 | -0.2 | 15.3 | -3.3 | 6.2 | 2.1 | 1.7 | 9.0 | -1.1 | -4.3 | 45.2% |
| 2018 | 17.3 | -0.9 | -3.4 | -0.7 | 12.5 | 0.7 | 0.5 | 6.4 | 0.7 | -14.7 | 2.0 | -1.9 | 16.1% |
| 2019 | -0.8 | 5.0 | 4.0 | 3.0 | -3.4 | 6.6 | 2.4 | -0.4 | -0.8 | 4.9 | 4.0 | 8.1 | 37.0% |
| 2020 | 2.1 | -4.3 | -6.8 | 6.9 | 14.3 | 11.4 | 11.3 | 21.7 | 1.8 | -3.2 | 30.7 | -3.0 | 109.7% |
| 2021 | 13.7 | -5.9 | -6.5 | 7.4 | -0.6 | 8.6 | 15.2 | 3.6 | -3.1 | 4.7 | -0.0 | -9.9 | 26.3% |
| 2022 | -13.7 | 0.8 | 2.0 | -11.1 | -3.1 | -1.3 | 0.6 | -2.2 | -0.1 | 0.0 | 0.0 | 0.0 | -25.7% |
| 2023 | 0.0 | 0.0 | 0.0 | -0.6 | 5.0 | 6.2 | 4.2 | 0.6 | -7.6 | -1.7 | 9.5 | 9.0 | 25.9% |
| 2024 | 6.5 | 10.3 | 3.6 | -4.4 | 9.9 | 7.0 | -7.7 | 1.2 | 6.2 | 3.6 | 4.6 | -4.4 | 40.6% |
| 2025 | 1.7 | -9.1 | -5.3 | 8.1 | 7.1 | 5.7 | -0.6 | -0.5 | 16.9 | 8.2 | -2.5 | 3.4 | 35.2% |
| 2026 | 8.9 | 1.8 | -5.7 | 18.5 | 25.4 | 17.8 | -25.7 | 3.2 | 40.3% |
Strategy Overview
Strategy Details & Model Assumptions
Details
Costs Included in Results
What You Get


Quick Start & Live Trading
What Traders Say
An AI strategy can look great and still be curve-fit, and you don't find out until it's live. What convinced me wasn't the equity curve, it was the research process. SetupAlpha runs walk-forward and out-of-sample by default, which is honestly rare.
I've been using a strategy from SetupAlpha and I'm really impressed with its elegance and stability. The unique approach gives me a fresh perspective and ideas I can apply to other strategies I'm developing. I'm currently working on integrating it into my suite of trading strategies.
Buying a SetupAlpha strategy didn't save me money, it saved me research time. I estimate it replaced 70–90 hours of development, debugging, and validation. Even if I never trade the strategy exactly as delivered, the research process was worth the investment.
SetupAlpha knows more about what goes on under the hood of a good strategy than anyone I know.
FAQ
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| Metric | Strategy | SPY |
| Sharpe | 0.89 | 0.48 |
| ROR | 22.84% | – |
| Sortino | 0.8 | 0.46 |
| MAR | 0.46 | – |
| Net Profit | $23.2M | $495k |
| Expectancy | 10.36% | – |
| Max Exposure | 106.23% | 100% |
| Worst Year | -25.7% | -33.2% |
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