EA Overview
| Logic Overview | Trend-following |
|---|---|
| Martingale | No |
| Grid | Yes |
| Scalping | Yes |
| Trading Pairs | XAUUSD |
| Developer | Bogdan Ion Puscasu |
[Video Guide] Quantum Queen EA: Verification & Risk Analysis
This article is also available in a detailed video format. It provides a visual summary of the MT5 live behavior and risk dynamics—insights that are often difficult to grasp from data alone.
[Video Overview]
- Forward Analysis: Real-world trading performance and latest results.
- Backtest Analysis: Evaluating resilience against historical market data.
- Risk Profile: Essential precautions to know before you start trading.
Forward Test Analysis
Overview of Forward Performance
Looking at the official signal for Quantum Queen MT5, the forward performance from 2024 shows
roughly +900% equity growth,
with a very smooth, upward-sloping equity curve at first glance.
The win rate is about 76%, and the profit factor is around 2.8,
which, taken in isolation, makes it look like a “very strong automated strategy.”
On the same screen, however, you also see a maximum drawdown above 36% and
a maximum margin usage of 94%, both very aggressive risk metrics.
From this alone, you should already understand that “a pretty curve ≠ safety.”
Official signal statistics for Quantum Queen MT5. You can see growth of about 982% along with aggressive risk metrics: a maximum drawdown of 36% and maximum margin usage of 94% (as of November 2025).
Impact of Deposits and Withdrawals on the “Headline” Results
One thing that stands out in this forward signal is that deposits and withdrawals are made frequently.
The initial deposit is only USD 100, but over time
total deposits reach about USD 6,000 and total withdrawals about USD 7,600,
so capital is repeatedly added and removed during the test.
By inserting deposits and withdrawals, it is possible to deliberately change how the equity curve, returns, and drawdown look.
For example, adding more funds during a large floating loss or drawdown
makes the drawdown percentage on the chart look “diluted,”
and repeated withdrawals can make it appear as if a small initial balance has grown dramatically.
In this signal as well, the numbers show “982% growth,” but
in reality the account balance is being adjusted multiple times along the way, so
you must keep in mind that copying this performance does not mean you will get the same results in your own account.
When reading forward tests, you should always assume that the curve may not be pure compounding,
but rather a curve “processed” by deposits and withdrawals.
Grid and Averaging-Down Behavior Visible in the Trade History
Looking more closely at the trade history, almost all trades are long (buy) positions in XAUUSD,
with a fixed lot size of 0.02, and positions being added one after another over time.
You can also see many instances where multiple positions are closed simultaneously at the same closing time.
This is a textbook grid + averaging-down closing pattern:
even when price moves against the position, the system keeps buying in small increments,
then closes all positions together once the basket reaches an overall profit.
As a result, the forward equity curve tends to form a “clean stair-step upward slope,”
which can easily give the illusion of being very stable.
However, this is exactly the kind of curve that any grid EA can produce.
Forward trade history for Quantum Queen MT5. XAUUSD buy positions are opened continuously and then closed in groups at the same time, clearly showing a grid + averaging-down approach (as of November 2025).
The Level of Risk Indicated by the Forward Test
A maximum drawdown of 36% and maximum margin usage of 94%
mean that the account is at a level where “one more strong move against the position”
could wipe it out at any time.
For grid/averaging-down EAs, while the market is in a range,
they tend to build up small floating losses while steadily taking profits,
so the early part of the forward test often forms a very smooth curve like this.
But when a strong one-directional trend appears, the number of open positions can balloon,
and the account is always at risk of being pushed rapidly toward a margin call.
The forward performance of Quantum Queen MT5 is essentially
just a snapshot of a period where it has “successfully navigated a range-like market,”
and if you continue to run it with the same risk settings,
you should assume that there is a high chance your account balance will eventually be blown up.
Therefore, this forward test is
only one example showing that Quantum Queen has worked reasonably well over this particular period,
and it does not guarantee future safety.
If anything, it should be read as evidence of the large, inherent blow-up risk typical of grid/averaging-down EAs.
Backtest Analysis
Backtest Conditions and Assumptions
Instead of relying solely on the developer’s own backtests for Quantum Queen MT5,
I ran my own tests using the MT5 Strategy Tester.
The conditions were as follows:
- Period: 1 January 2005 – 28 November 2025 (about 20 years of data)
- Symbol: XAUUSD
- Initial balance: USD 10,000
- Lot size: fixed 0.01 lot
- Other settings: EA parameters left at default
- Spread: 30 points
The history quality is shown as 98%,
and the test used about 25.5 million ticks,
which provides a reasonably reliable backtest environment.
Roughly 20-year backtest results for Quantum Queen MT5. Overall the curve is smooth and upward-sloping, but there is one equity drawdown of several thousand dollars in the middle, illustrating the risk typical of grid/averaging-down systems.
Backtest statistics for Quantum Queen MT5. Most trades are buys; the maximum equity drawdown is about USD 2,284 and the total loss over 22 consecutive losing trades is about USD 537, meaning that increasing the lot size directly translates into large potential losses.
An Apparently “Ideal” Equity Curve
Looking only at the backtest equity curve,
you see a clean upward trend spanning roughly 20 years.
There are almost no large gaps, and the small stair-step rises continue throughout,
so a beginner might see this and conclude it is “a very stable and excellent EA.”
However, this shape is also a classic pattern for grid EAs.
The system accumulates small floating losses while averaging down,
and closes the entire basket once it becomes profitable,
which hides the clusters of losing trades and naturally produces a smooth stair-step equity curve.
Directional Bias: Almost All Buy Positions
In the statistics tab, you can see that of the 3,301 total trades, 3,071 are long (buy) and only 230 are short.
The win rate is in the mid-70% range for both long and short,
which looks fine at first glance, but in practice it is almost a pure buy-side strategy.
Because XAUUSD (gold) has trended upward over the long term,
it is true that a “buy-side averaging-down strategy” has had many favorable years.
However, you must not forget that when such an uptrend breaks, one-directional strategies face extremely high blow-up risk.
The fact that this backtest has been profitable does not mean it will necessarily survive future crashes.
The Reality of Equity Drawdowns: Evaluating Lots and Absolute Dollar Amounts
In the statistics, the maximum equity drawdown is about USD 2,284,
and the total loss over 22 consecutive losing trades is USD –537.39.
The key point here is that the lot size is fixed at 0.01.
- With 0.01 lots: maximum equity drawdown about USD 2,284
- With 0.10 lots (10×): theoretically, about USD 22,000 of equity drawdown with the same behavior
- With 1.00 lot (100×): this would easily reach full account-loss levels
In other words, it is very dangerous to feel safe just because
“the backtest maximum drawdown is only around 18%,”
looking only at balance-based percentages.
For grid/averaging-down strategies, even a small increase in lot size can cause the absolute value of equity drawdowns to explode,
so risk must always be evaluated in terms of both lots and dollar amounts.
Backtest Starts in 2005, but Actual Trading Only from 2018
The most serious concern in this backtest is that
although the test period is set from 2005, the first actual trade does not occur until around 2018.
The more than 10-year span from 2005–2017 is practically empty, with almost no trading.
This is not just a case of “no signals happened to appear during that time”;
it strongly suggests the possibility that
the EA’s logic or internal filters have been tuned so that unfavorable historical periods are deliberately skipped.
If specific periods are filtered out so that no trades are taken there,
it becomes very easy to create a backtest curve that only shows the “nice” sections of history.
Backtests are supposed to show “the result of applying the rules consistently across the entire historical market.”
Despite that, in this case we have around 20 years of data specified, but actual trading is concentrated in just the last few years,
which is a behavior that seriously undermines the EA’s credibility.
What We Can and Cannot Conclude from the Backtest
From this backtest we can confirm that
“with a fixed 0.01 lot, the EA has done reasonably well over past gold market conditions”.
The equity curve is smooth, and the profit factor is a high 3.40,
so the “headline results” look very strong.
But beneath that, we see:
- The strategy is heavily biased toward buy trades.
- The maximum equity drawdown exceeds USD 2,000, meaning that increasing the lot size even modestly could quickly lead to a wipeout-level loss.
- Although the backtest period is set from 2005, actual trades are concentrated from 2018 onward.
These are all serious red flags.
Therefore, this backtest does not provide any basis to claim that
“Quantum Queen is safe to run long-term with high lots.”
If anything, it should be read as an example that shows
just how much hidden risk and discretion can lie behind a pretty backtest curve.
Trading Logic and Risk Characteristics
Basic Concept: A Hybrid of Scalping and Grid
Quantum Queen MT5 is a scalping-oriented EA that runs averaging-down/grid trades over a very small price range.
When price moves in the intended direction, it quickly takes small profits,
and when price moves against the position,
it adds positions at very tight intervals to lower the average entry price.
In other words, it is not a “one big hit” system;
it builds up profit in small increments while using a grid to endure adverse moves.
Because of this, the equity curve looks smooth on the surface,
but floating losses and equity drawdowns tend to grow large.
“Extremely Tight” Grid Spacing on the M1 Chart
When you plot the forward trade history on a 1-minute (M1) chart,
you can see multiple buy positions stacked in a stair-step pattern within a very narrow price range.
- Within just a few candles, multiple 0.02-lot buy positions appear one after another.
- At closing, multiple positions are connected by lines converging on a single point, indicating basket exits.
- Even when zoomed in on M1, the spacing between grid levels is very tight, and positions are added at almost scalping-like intervals.
Because the grid spacing is extremely narrow even on short-term timeframes,
the number of open positions can balloon in a short time on small adverse moves,
and once a strong trend develops, equity drawdowns can expand rapidly.
M1 chart for Quantum Queen MT5. Buy positions are added at extremely tight intervals, showing that the logic combines scalping with a grid averaging-down approach.
Position Distribution on H1: Mostly Buys, Low Frequency
When you zoom out to an H1 chart with the same trade history,
you can see that most arrows are white (Buy), and red arrows (Sell) are very rare.
The strategy clearly assumes a “bullish bias on gold,”
with sell entries playing only a supporting role.
Looking at the overall forward trade count,
there are typically only a dozen or so entries per week,
so this is not an ultra-high-frequency scalper.
- In normal conditions, just a few to a dozen trades appear sporadically during the day.
- When a big move occurs, grids fire in quick succession and positions cluster in a short period.
- Once price later rebounds and the basket is closed, a small “step” appears on the equity curve.
In short, this EA does not trade often, but when the market moves it deploys the grid aggressively.
H1 forward history for Quantum Queen MT5. Clusters of white buy arrows show that the system is almost entirely composed of buy positions, confirming a one-directional, long-biased logic.
Developer’s Stated Logic (Official Claims)
According to the developer, Quantum Queen is
a XAUUSD-dedicated EA designed as part of the “Quantum ecosystem”,
with the following main features (these are the developer’s claims):
- Multiple filters to evaluate volatility and trend direction, selecting only high-quality entry points.
- Dynamic adjustment of grid spacing, take-profit, and stop-loss depending on market conditions.
- A risk-management module that focuses on capital preservation.
- A “professional-grade” strategy aimed at long-term stable growth.
From this description, the conceptual design appears to be
“filter out noise, then intelligently combine scalping and grid trading based on volatility.”
Summary of Risk Characteristics
Based on the actual forward and backtest behavior,
the risk characteristics of Quantum Queen MT5 can be summarized as follows:
- Tight grid spacing and averaging-down mean the number of positions can spike in a short period.
- Because almost all positions are buys, the system is a one-directional, long-biased strategy that is very vulnerable to sharp gold sell-offs.
- In normal conditions, entry frequency is low and the EA steadily collects small profits while carrying floating losses.
- However, when the market moves strongly against the grid, equity drawdowns can expand rapidly, as is typical for grid EAs.
Behind the pretty equity curve lies a structural risk: “scalping while averaging down in a tight grid.”
You need to understand this clearly, and be aware that the blow-up risk rises sharply
if you increase the lot size and simply leave the EA running unattended.
Overall Evaluation and Conclusion
Overall Evaluation
- Quantum Queen MT5 is a gold-only scalping + grid EA that produces very smooth equity curves in both forward tests and backtests.
- Behind that, however, it uses a grid strategy with extremely tight spacing and a one-sided long bias, so equity drawdowns can quickly reach dangerous levels when lot size is increased.
- The forward test includes frequent deposits and withdrawals, which raises concerns that the displayed returns and drawdowns may have been “groomed”.
- The backtest uses data from 2005, but actual trades are concentrated from 2018 onward, another behavior that undermines trust.
Pros
- When gold is in a clean range or gentle uptrend, the EA has a strong ability to steadily accumulate profits.
- If the lot size is kept very small, it can be an interesting choice for a “long-term small-profit experiment account.”
- The developer offers many EAs and signals in the same series, so there is relatively abundant information.
Cons and Risks
- There is a substantial structural risk inherent in grid/averaging-down systems, and a strong one-directional move can easily lead to account blow-up.
- The strong buy-side bias means the strategy is extremely vulnerable to sharp gold crashes.
- The way deposits/withdrawals and backtest periods are handled leaves questions about the transparency of the reported performance.
- The official version is expensive, and many pirated/copy versions are circulating, so careful risk management is essential when buying or using it.
Who This EA Is (and Isn’t) For
- It is suited to advanced traders who fully understand the nature and blow-up risk of grid/averaging-down EAs and can run small lots using only surplus funds.
- It is not suitable for those seeking a “low-risk EA you can safely leave running” or a “stable asset-management tool.”
- For prop accounts or serious main accounts with high lot sizes, it should currently be treated as a high-risk product that is not appropriate.
Conclusion
Quantum Queen MT5 is a gold EA with very attractive performance on the surface,
but in reality it is a classic high-risk, high-return strategy that averages down in a tight grid,
with a very high chance that a single move could wipe out the account balance.
Instead of jumping in just because the equity curve looks nice,
you should carefully examine factors such as the absolute size of equity drawdowns, the one-sided long bias,
and the transparency of the forward and backtest performance, and only then decide whether this EA is worth using.
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This EA is heavily biased to buying and uses averaging-down/grid entries over an extremely small price range. It should be treated as a “high risk of account blow-up” EA, where increasing the lot size makes it much more likely that a single sharp move wipes out the account. Even with a fixed 0.01-lot backtest, the maximum equity drawdown is about USD 2,300, and in the forward test the maximum margin usage reaches an aggressive 94%.