D7 EA Portfolio Review
Overview
D7 EA Portfolio is a MetaTrader 5 expert advisor designed to run several market-specific components from one instance on a hedging account. Its stated scope spans gold, currencies, US stocks and a US index. The product page describes ten components in its historical evidence, while noting that one calendar component can no longer evaluate new entries without an update and another has embedded calendar dates through January 2027.
This is a portfolio setup rather than a simple attach-and-run robot. It requires specific symbols and history, a USD account, compatible broker data and attention to which modules actually initialize. The vendor offers a free demo for testing in the MT5 Strategy Tester and lists a one-month rental at USD 150. These are product-page details, not independent assessments of the software.
View the D7 EA Portfolio listing on MQL5.
What the portfolio includes
The required setup names XAUUSD, GBPUSD, USDSEK, EURUSD, AUDJPY, US500, AAPL and AMD, with NVDA and INTC history also required. The expert is intended to be attached to an XAUUSD M1 host chart, but it can evaluate the listed markets through that one portfolio instance. The product page says to run only one portfolio instance per account and not to run standalone copies of its components on the same account.
Completeness matters: a component without its required symbols remains uninitialized, and its allocation is not reassigned to other components. The listing warns that partial composition will not reproduce the displayed ten-module history. Availability is checked again only after the expert is reinitialized, so users would need to inspect its status rather than assume every module is active.
The page reports that nine components can evaluate new entries, while one calendar component has exhausted its embedded coverage and requires a qualified update. A separate calendar component has dates through January 2027. That is a meaningful operational limitation for a product advertised as a broad portfolio: the historical results include all ten components, but the currently usable entry coverage may differ.
Published backtest and how to read it
The vendor reports a historical simulation from 1 January 2020 to 2 October 2026, using MetaQuotes-Demo, one-minute OHLC data identified as Model 1, and USD 10,000 initial capital. The stated aggregate result is net profit of USD 11,892.36, maximum native equity drawdown of 6.23%, 2,073 completed trades and a profit factor of 1.32. These are figures published on the product listing, not independently verified live results.
The listing divides results at a 2025 reference line. For 2020–2024, it reports net USD 8,965.09 across 1,570 trades, profit factor 1.37 and closed-balance drawdown 4.85%. For 2025–2026, it reports net USD 2,927.27 across 503 trades, profit factor 1.22 and closed-balance drawdown 4.54%. The two segment drawdowns are closed-balance measures and should not be confused with the 6.23% native equity drawdown reported for the full simulation.
There are important qualifications to the out-of-sample terminology. The product page says the 2025 cut applies to eight component studies, while two components use different windows. It notes that Aether's 2025 period was exposed during strategy selection, with its qualified untouched out-of-sample period beginning in 2026; Praxis uses a legacy 2024-and-later holdout. Pacifica's 2025 out-of-sample period is described as independent of its fixed parameters, but the same AUDJPY period had been viewed for an earlier candidate. The page also says portfolio weights were calibrated over the full displayed history, including after the 2025 line. Accordingly, that line is not independent out-of-sample validation of the portfolio weights.
For general context on what a platform strategy test represents, see MetaTrader 5's Strategy Tester documentation. Platform documentation explains testing tools; it does not validate this product's reported results.
Risk, costs and practical constraints
The product page gives a measured aggregate risk budget of 5%, with a stated aggregate risk-input range of 1.71%–5.97%. It explicitly warns that the budget governs trade entry and is not a cap on account loss. Gaps, execution, margin, currency conversion and broker volume steps can all affect exposure. Losses and extended drawdowns remain possible.
The listing says both long and short exposure can occur. It also notes that gold modules retain guards intended to prevent them from interfering with each other's positions. The SEK standalone default is TIME_ONLY, whereas the embedded tested preset is R_TARGET 1.50R. These configuration details make it important to distinguish the supplied portfolio preset from any individually installed component or altered settings.
Reported net backtest results include the costs shown in the evidence, but exclude the software rental fee. The page recommends first using a compatible hedging demo account and matching broker contracts and data to the reference setup. Neither a demo run nor historical simulation establishes how the EA will perform on a live account.
Independent reviews and public discussion
Public third-party information about D7 EA Portfolio appears limited. The MQL5 listing shows forum activity, but the available listing information does not provide enough detail to treat that activity as an independent evaluation of the EA or its results. I could not substantiate a body of independent product-specific reviews or complaints from the sources available for this review. That absence is not evidence that users have had no problems.
The product page is the source for the EA's specifications, rental price, setup requirements and reported testing figures. Those claims should be read as vendor-published information. In particular, the historical simulation is not proof of live performance, and the qualifications around component coverage and portfolio calibration are central to interpreting it.
Bottom line
D7 EA Portfolio's distinguishing feature is its attempt to coordinate several asset-specific components from one MT5 instance, accompanied by detailed disclosures about the test period and its validation limitations. The corresponding trade-offs are substantial setup requirements, dependence on exact symbols and data, incomplete calendar coverage for one module, and the possibility that missing modules produce a portfolio different from the reported backtest.
The published simulation provides useful figures to scrutinize, but its own qualifications prevent treating the 2025 split as independent validation of the portfolio weights. With limited independent public feedback, the listing and its demo are the main available product-specific sources. Nothing here guarantees results or substitutes for careful assessment of compatibility and risk.