RealTest Strategies / RealTest SPX Mean-Reversion

RealTest SPX Mean-Reversion

Name: RealTest SPX Mean-Reversion
Brand: SetupAlpha
SKU: spx-mean-reversion-realtest-strategy
Price: 899.00 USD
Availability: InStock

A systematic mean-reversion strategy for S&P 500 stocks built in RealTest. It identifies statistically oversold conditions using rate-of-decline filters and enters via limit orders to provide liquidity during broad selloffs. Backtested since 2000 with survivorship-bias-free Norgate data, validated through walk-forward analysis and Monte Carlo simulation.

Pullback Detected

Beating SPY

Steady Growth

Low Drawdown Period

Live Market Performing

Premium

Portfolio Growth

+2,370%

11,986.3%

SPY 485.4%

Sharpe Ratio

+143%

1.16

SPY 0.48

Max Drawdown

+56%

-21.8%

SPY -49.9%

Strategy SPY ETF

Strategy Overview

Mean-Reversion Methodology

This strategy measures the velocity and magnitude of price decline in S&P 500 constituents relative to their recent trading range. When a stock reaches a statistically defined oversold threshold, it generates a limit order entry. The logic is designed around the empirical observation that large-cap equities tend to revert after sharp short-term dislocations, particularly when the decline is driven by broad market sentiment rather than company-specific events.

Execution and Liquidity

Entries use calculated limit orders rather than market orders, which serves two purposes: it improves average fill price and naturally filters for the deepest oversold conditions. The S&P 500 universe ensures sufficient liquidity for realistic execution at the modeled prices. Backtests include Interactive Brokers tiered commissions and a limit order buffer to account for real-world fill dynamics.

Portfolio Context

Mean-reversion strategies tend to exhibit low correlation with trend-following and momentum systems. Adding this type of strategy to a portfolio that already holds long-term or momentum-based positions can reduce overall equity curve volatility. The strategy is most active during elevated-volatility regimes, providing returns in the periods where buy-and-hold exposure typically suffers the largest drawdowns.

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	108.3%	-41.8%
2008 Financial Crisis	2007-10-09 → 2009-03-09	13.4%	-49.9%
COVID-19 Crash	2020-02-19 → 2020-03-23	-0.5%	-28.7%
2022 Bear Market	2022-01-03 → 2022-10-12	22.8%	-21.3%
2025 Tariffs Crash	2025-02-19 → 2025-04-08	-10.2%	-16.3%

Monthly Returns

Year	Jan	Feb	Mar	Apr	May	Jun	Jul	Aug	Sep	Oct	Nov	Dec	Total	MaxDD
2000	6.5	17.7	13.7	12.7	13.6	4.6	-0.9	-0.2	3.0	16.8	4.9	1.1	140.8%	-11.1%
2001	-2.7	6.7	3.5	1.7	0.5	0.8	7.2	-0.3	-9.0	-0.8	2.5	2.3	12.0%	-18.2%
2002	-1.7	2.0	-1.8	2.0	0.1	1.9	-3.2	1.9	4.0	3.8	2.2	2.0	13.6%	-14.4%
2003	-2.8	3.3	1.0	0.0	6.1	0.3	4.3	1.7	2.9	1.0	3.4	0.0	23.0%	-5.8%
2004	2.2	0.9	2.7	-4.5	1.2	0.0	-1.7	2.3	0.0	0.4	-0.7	0.9	3.5%	-10.4%
2005	-4.5	-0.2	3.9	3.3	0.2	1.0	-0.2	0.0	2.1	-3.2	0.0	1.9	4.0%	-6.0%
2006	6.2	0.2	6.8	0.8	-6.5	3.6	0.9	0.0	0.0	2.1	0.3	0.0	14.7%	-12.1%
2007	0.0	0.2	1.3	0.0	2.4	3.7	-1.2	3.7	1.0	1.9	-3.6	3.3	13.2%	-9.3%
2008	-13.4	3.0	3.5	1.2	8.3	3.0	4.1	-0.7	11.6	5.5	1.8	-1.6	27.1%	-17.9%
2009	0.7	-13.5	3.2	5.0	1.4	2.9	2.1	0.0	8.0	7.4	2.6	3.9	24.5%	-19.9%
2010	-1.6	11.6	0.0	5.1	11.1	-7.7	4.4	-1.6	4.0	0.0	3.8	0.3	31.6%	-13.9%
2011	0.0	3.3	0.9	2.6	4.3	-6.1	1.5	-8.4	7.6	7.6	2.0	1.9	17.2%	-21.8%
2012	0.0	0.0	2.9	2.2	-2.6	6.8	-4.0	1.8	-0.8	4.4	3.6	2.2	17.3%	-6.4%
2013	1.5	-2.7	0.3	0.8	-0.7	4.9	2.5	0.9	0.2	4.4	-0.8	-0.9	10.6%	-4.8%
2014	-0.1	1.0	0.3	3.6	1.6	0.0	-1.9	-0.2	4.2	3.8	0.0	1.5	14.7%	-7.5%
2015	1.9	-0.3	4.7	-0.1	0.0	1.4	3.3	1.0	-2.3	1.6	4.4	2.1	18.8%	-8.8%
2016	-5.0	2.0	0.5	-1.3	-0.9	4.9	1.6	-0.1	1.7	-0.3	2.0	0.3	5.1%	-7.4%
2017	1.7	0.0	0.3	0.9	0.0	-1.0	0.5	3.5	0.0	0.0	0.4	0.0	6.4%	-2.4%
2018	0.0	1.3	-2.3	2.2	1.1	-1.7	0.4	0.0	0.6	3.2	6.1	-7.0	3.4%	-10.5%
2019	-0.1	0.0	2.6	0.0	-0.8	3.6	0.0	1.4	0.0	2.0	0.0	4.3	13.6%	-2.4%
2020	-1.8	0.4	7.5	-0.3	2.4	3.3	1.4	0.0	2.7	0.4	7.5	0.3	25.9%	-6.8%
2021	0.0	1.0	17.5	4.9	1.9	2.0	7.6	6.6	4.3	0.8	0.0	6.3	66.0%	-4.7%
2022	2.2	6.7	11.6	5.7	6.2	-13.9	3.0	2.1	-2.1	3.8	4.1	1.2	32.4%	-20.4%
2023	0.5	-2.9	-2.8	0.4	-1.3	0.5	0.0	1.7	-0.3	-1.6	3.7	0.0	-2.3%	-8.7%
2024	2.7	0.0	1.4	3.7	0.5	4.5	1.5	0.5	4.6	0.0	0.0	0.1	21.0%	-7.4%
2025	4.3	-6.8	-1.2	2.7	0.9	0.0	0.0	6.4	0.0	0.0	3.4	5.7	15.7%	-13.2%
2026	3.2	0.4	5.2	0.5	0.0	0.1	-2.4						6.9%	-10.4%
Avg	-0.0	1.3	3.2	2.1	1.9	0.9	1.1	0.9	1.8	2.5	2.1	1.2	21.5%	-10.5%

Metric	Portfolio	SPY
Sortino Ratio	0.81	0.45
MAR Ratio	0.91	-
Net Profit	$12.0M	$485k
Expectancy	2.47	-
Trades	1021	1
Win Rate	73.75%	-
Max Exposure	100.53%	100.0%
Best Year	140.8%	27.0%
Worst Year	-2.3%	-33.2%

Statistical Edge Verification

Science, governed by mathematics

Live Market Performance

Performs in real market conditions since 2024-01-30

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

S&P 500 Current & Past Stocks

Timeframe

Daily

Side

Long

Entry execution

Limit Order

Exit execution

Limit Order

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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