Contents
Updated: October 19, 2026

RA Mean Reversion Portfolio Review

Reading Time: 7min
RA Mean Reversion Portfolio Review
Troy Bening
Written byTroy Bening
Victor Jacobson
Reviewed byVictor Jacobson
Margarita Spanou
Fact Checked byMargarita Spanou

Overview

RA Mean Reversion Portfolio is a MetaTrader 5 Expert Advisor built around a straightforward counter-trend idea: when a currency pair’s daily close is unusually far from its recent average, the system trades for a move back toward that average. The product listing describes a two-pair portfolio using EURGBP and AUDUSD by default, with both pairs managed from one D1 chart.

Its appeal is the relative transparency of the stated rules. The listing describes a rolling z-score signal, an ATR-based stop, defined exit conditions and limits on position size and portfolio exposure. Those design features make the approach easier to inspect than a strategy whose entry logic is undisclosed. They do not, however, establish that the system will be profitable or that its reported historical results will repeat.

Product specifications and performance figures discussed below are claims presented on the MQL5 product listing. We found little independent, product-specific review or public discussion to corroborate them. Treat the backtest as seller-reported rather than independently verified.

How the strategy works

For each configured symbol, the EA calculates a z-score from the logarithm of daily closing prices. The default lookback is 45 daily bars, and the signal uses closed-bar data, according to the listing. A reading above +2 triggers a short; a reading below -2 triggers a long. In other words, the system bets against a move judged statistically stretched.

A trade is closed when the z-score returns to zero, after a maximum holding period of 25 daily bars, or when its stop-loss is hit. The stop is set at 1.5 times ATR(14) at entry and is not widened, according to the description. The EA does not use a take-profit, trailing stop, grid, martingale or loss-recovery lot increases.

Mean reversion is regime-sensitive. A price that looks unusually extended can keep moving in the same direction, particularly during a sustained trend or a response to new information. The system’s counter-trend character is therefore a central risk, not a minor implementation detail.

Risk controls and practical limitations

  • Position sizing: The listing gives a default risk of 0.3% of balance per trade and a 1.5% cap for the combined risk of open positions. The default maximum is three concurrent positions.
  • Entry pauses: New entries are blocked if drawdown from the equity peak exceeds 15% or if the account reaches a 3% loss for the day. The description says these protections pause new trades; they do not automatically close existing positions.
  • Correlation handling: A new trade is reduced to half risk when it is highly correlated with an open position, and the listing says two such correlated positions prevent further entries.
  • Stop-loss limits: A stop is specified for each position, but a stop order cannot guarantee an exact exit price in fast or gapping markets. Actual loss can differ from the planned amount.
  • Trade availability: The EA may skip an entry if the calculated position size is below the broker’s minimum volume. The listing also gives deposit estimates for its default pairs; those are product guidance, not a guarantee that a particular account can use the system safely.

The vendor says the EA supports netting and hedging accounts and can match symbol names with broker prefixes or suffixes. It also says the model was fitted and tested on EURGBP and AUDUSD; adding other pairs is possible, but the listing does not present them as equivalently tested. There is no economic-calendar filter, so scheduled events are not explicitly screened out.

What the published backtest does and does not show

The MQL5 listing reports a Strategy Tester run from 1 January 2020 to 9 October 2026, using EURGBP and AUDUSD on D1, a 10,000 EUR starting deposit and 1:100 leverage. Reported figures include a net gain of 887.09 EUR, 124 trades, a 1.59 profit factor and maximum equity drawdown of 1.78%. These are historical simulation figures stated by the seller; we found no independent source verifying the test or its results.

The listing’s own year-by-year figures show uneven results: 2023 is identified as the strongest year, 2024 is close to flat, and the partial 2026 period is negative. That distribution matters for a low-frequency strategy: 124 trades across the stated test span is a limited sample for judging how the rules might behave across different market conditions. The listing also notes that spreads, swaps and commission settings affect results and may differ between brokers.

MetaTrader’s Strategy Tester documentation explains the platform’s historical testing tools, but platform documentation is not verification of this particular EA’s inputs, data quality or reported performance. A backtest, even when reproduced, cannot establish future results. Testing on a demo account and examining trade-level records may help a buyer understand execution and behavior, but neither removes market risk.

Independent reviews and public discussion

Public third-party information specific to RA Mean Reversion Portfolio appears limited. The available material we could identify for this review is primarily the product’s own MQL5 listing; we did not find independent, detailed testing or a substantial body of attributable user reviews that would allow a reliable assessment of live trading behavior. The MQL5 page includes review and comments areas, but the product description supplied here does not establish what users have reported there.

This is an evidence limitation, not proof that the EA is ineffective or that no user discussion exists. It means buyers should be cautious about treating the seller’s test and feature claims as independently confirmed.

Who may find it worth examining

The EA may be of interest to users who want a rules-based, daily-timeframe mean-reversion system with explicit entry and exit logic, per-trade stops and basic portfolio limits. Its modest trade frequency and dependence on two specified currency pairs may also make it easier to inspect than a broad, high-frequency system.

It is less suitable for anyone expecting frequent signals, trend-following behavior, automated news avoidance or independently established live performance. Users considering it would need to understand the risk of counter-trend positions, check broker-specific costs and validate the settings and behavior on their own platform before making decisions.

Globegain assessment

RA Mean Reversion Portfolio presents a clearly described strategy and several sensible risk-control mechanisms on paper. The main reservations are the limited default market scope, the strategy’s exposure to persistent trends, the relatively small reported trade sample and the lack of independent product-specific evidence. Its published backtest is useful as a description of what the vendor says the system did under one test setup; it is not proof of live performance or a forecast.

This review is informational and is not investment advice. Automated trading involves risk, and losses are possible.

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