RealTest Strategies / RealTest Low Drawdown Nasdaq Mean Reversion Strategy

RealTest Low Drawdown Nasdaq Mean Reversion Strategy

Name: RealTest Low Drawdown Nasdaq Mean Reversion Strategy
Brand: SetupAlpha
SKU: low-drawdown-nasdaq-mean-reversion-realtest-strategy
Price: 999.00 USD
Availability: InStock

A RealTest mean-reversion strategy for Nasdaq 100 stocks that sizes each position by current market volatility. It buys oversold pullbacks in the Connors and Alvarez style, then automatically holds less when markets turn turbulent, which is what keeps its drawdowns shallow. Tested on survivorship-free Norgate data with commissions modeled, and trading live since January 2025.

Pullback Detected

Beating SPY

Steady Growth

Low Drawdown Period

Live Market Performing

Premium

Portfolio Growth

+187%

1,394.1%

SPY 485.4%

Sharpe Ratio

+193%

1.4

SPY 0.48

Max Drawdown

+83%

-8.6%

SPY -49.9%

Strategy SPY ETF

Strategy Overview

Why it stays shallow

Mean reversion buys stocks that have sold off too hard and waits for the bounce. The usual problem is that the same volatility that creates those setups also creates the deep drawdowns, because a plain strategy is fully exposed exactly when the market is at its wildest. This one measures volatility as it changes and scales its exposure to match, holding smaller when conditions are turbulent and larger when they are calm. The mean-reversion edge is the same, and the ride is much smoother.

How it was tested

The backtest runs on Nasdaq 100 stocks including names later removed from the index, so survivorship bias does not inflate the results. Interactive Brokers commissions and a limit-order buffer are included, so the equity curve is after real costs. The rules build on the published Connors and Alvarez pullback approach and stay simple, and the strategy was checked with walk-forward analysis. The drawdown you can see on the equity curve is the whole point of the design.

How it fits your trading

This is the steady, low-stress strategy in the lineup. Because its drawdowns are shallow, it is easier to keep trading through a rough market, which is often where traders abandon better strategies at the worst time. It works well as a stable core that you can size larger with more confidence, and it pairs naturally with a higher-return, higher-swing strategy to lift the overall return without giving up the smooth base.

What You Get

RealTest Strategy Code (.rts)

Complete RealTest (.rts) strategy code. Import, backtest, and modify.

Plain Text Rules

Full strategy logic in plain text. Clear rules for implementation on any trading platform.

Advanced Backtest Insights

Stress Test Analysis

Crisis Period	Dates	Portfolio	SPY
Dotcom Crash	2000-03-10 → 2002-10-09	48.7%	-41.8%
2008 Financial Crisis	2007-10-09 → 2009-03-09	0.6%	-49.9%
COVID-19 Crash	2020-02-19 → 2020-03-23	0.0%	-28.7%
2022 Bear Market	2022-01-03 → 2022-10-12	2.5%	-21.3%
2025 Tariffs Crash	2025-02-19 → 2025-04-08	-1.6%	-16.3%

Monthly Returns

Year	Jan	Feb	Mar	Apr	May	Jun	Jul	Aug	Sep	Oct	Nov	Dec	Total	MaxDD
2000	2.1	7.0	8.3	8.5	6.7	0.2	2.5	1.6	1.9	-1.1	0.7	1.2	46.9%	-7.4%
2001	1.3	0.1	-0.0	0.0	1.7	3.1	2.4	0.7	0.0	0.0	0.1	3.3	13.4%	-2.0%
2002	0.3	1.1	0.7	0.0	1.6	-1.0	-0.4	0.0	0.6	0.0	0.0	0.9	3.8%	-3.1%
2003	2.0	0.2	0.5	3.9	2.5	2.8	2.5	2.7	-2.1	7.7	4.2	0.8	31.1%	-3.6%
2004	0.4	3.3	-0.4	1.0	1.3	1.1	1.2	0.3	1.1	1.7	0.4	1.6	13.7%	-3.3%
2005	2.2	2.5	2.2	0.5	0.0	1.8	1.4	-3.3	0.6	1.0	-0.1	4.2	13.7%	-4.2%
2006	3.6	1.5	1.0	1.4	0.8	4.4	0.8	0.1	0.1	1.1	1.0	3.2	20.7%	-4.5%
2007	1.4	1.0	0.4	0.3	1.1	0.9	-0.6	1.6	2.3	0.5	3.6	0.5	13.6%	-1.5%
2008	-5.1	1.7	1.2	0.1	2.6	0.0	1.2	0.8	-3.3	-0.0	0.0	0.0	-1.2%	-6.7%
2009	0.1	-1.0	-0.9	0.0	0.9	-1.0	1.3	2.4	3.6	-1.2	3.3	2.0	9.8%	-5.9%
2010	-2.4	2.7	1.4	0.3	-0.0	-1.8	2.7	1.4	0.4	0.4	1.0	0.7	6.7%	-4.5%
2011	0.6	1.0	-0.6	0.4	2.3	-2.4	-0.2	-3.6	-0.0	1.2	3.2	1.5	3.2%	-8.6%
2012	0.0	0.8	1.0	0.3	0.4	0.6	1.0	-0.4	-0.3	0.8	0.1	0.6	4.9%	-2.7%
2013	1.1	2.7	-0.6	0.6	0.2	2.1	0.4	2.5	1.4	1.0	2.8	0.9	16.3%	-1.3%
2014	-2.9	1.0	0.3	0.9	0.4	0.6	-0.4	0.0	-0.2	0.3	0.4	2.2	2.4%	-4.9%
2015	2.6	-0.2	1.1	2.1	1.5	-0.5	1.2	0.9	0.1	0.0	0.8	1.5	11.6%	-2.1%
2016	-2.0	0.0	0.8	0.7	0.6	0.4	-0.2	0.4	-0.4	1.0	0.8	0.5	2.6%	-3.8%
2017	2.2	-0.1	-0.5	-0.0	0.9	0.3	1.1	0.6	0.2	1.3	0.4	0.8	7.5%	-2.1%
2018	1.2	-2.3	0.7	2.0	1.1	-0.6	-0.6	0.2	1.2	-2.9	0.6	-1.9	-1.5%	-6.0%
2019	-0.0	0.7	3.1	0.5	-2.7	2.3	1.7	0.3	1.3	0.7	1.5	0.8	10.5%	-3.9%
2020	-0.5	-0.1	2.0	0.0	1.4	0.4	0.6	2.7	3.8	-1.1	6.2	3.9	20.7%	-2.7%
2021	1.0	1.8	2.9	2.0	0.4	1.4	1.9	1.4	-2.0	0.5	-1.5	2.0	12.3%	-3.7%
2022	0.3	2.4	-0.1	1.2	0.1	-0.3	0.2	-0.1	-1.8	1.1	0.6	2.5	6.2%	-5.6%
2023	0.2	-0.4	2.5	-1.2	1.6	3.8	0.9	-0.1	-1.6	-0.1	0.1	1.6	7.3%	-3.9%
2024	0.6	1.3	0.9	0.3	-0.6	1.2	1.2	0.1	3.0	1.0	0.8	-4.0	6.0%	-4.4%
2025	6.6	0.1	-0.4	0.2	0.2	0.3	0.6	-0.1	0.6	1.8	-3.6	0.4	6.7%	-6.0%
2026	2.3	0.8	-1.2	0.2	-0.8	1.1	3.8						6.3%	-2.7%
Avg	0.7	1.1	1.0	1.0	1.0	0.8	1.0	0.5	0.4	0.6	1.1	1.2	10.9%	-4.1%

Metric	Portfolio	SPY
Sortino Ratio	1.29	0.45
MAR Ratio	1.25	-
Net Profit	$1.4M	$485k
Expectancy	0.97	-
Trades	2862	1
Win Rate	71.87%	-
Max Exposure	99.73%	100.0%
Best Year	46.9%	27.0%
Worst Year	-1.5%	-33.2%

Statistical Edge Verification

Science, governed by mathematics

Live Market Performance

Performs in real market conditions since 2025-01-02

Verified

Statistical Validation

Validated across In-Sample & Out-of-Sample data

Passed

Walk Forward Analysis

Tests robustness across unseen data

Passed

Monte Carlo Stress Test

Resilient against 1,000+ sequence risk simulations

Passed

View Validation Process →

Quick start guide

From download to first backtest in 1 minutes

You download the .rts file

Click Download

You open it in RealTest

File → Open → Select file

You import symbols

Click Import

You run the backtest

Click Test

Watch setup tutorial (2 min) →

Daily Live Trading

For RealTest automated execution

Open OrderClerk

Click 'Connect to IB'

Import signals

Click 'Import' in RealTest

Generate orders

Click 'Orders' in RealTest

Execute trades

Click 'Place Orders'

Total daily time: ~5 minutes

Get OrderClerk automation course →

Strategy Details

Style

Mean Reversion

Universe

Nasdaq 100 Current & Past Stocks

Timeframe

Daily

Side

Long

Entry execution

Limit Order

Exit execution

Limit & Market

Model assumptions

Included in Backtest

Commission$0.005 / Share

Limit Price Buffer0.1% Past Limit

SPY Buy & Hold Benchmark

Does not include any transaction fees, slippage, or management costs.

Portfolio Builder & Simulator

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