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EA
MT5 Expert Advisor VIP Grid & Martingale

EA GTX RnFXs MT5

A grid-based EA for MetaTrader 5 that trades BTCUSD and XAUUSD using EMA trend detection with dual averaging and a controlled lot multiplier. It includes a drawdown-reduction mechanism and set files for both instruments. Designed for any timeframe and account type, with a suggested minimum of 2,000 USC on cent accounts.

Losses on this strategy have no upper bound

The vendor's own description mentions position-scaling logic that keeps a losing sequence open instead of closing it. A single losing sequence therefore has no defined worst case: a long enough move in one direction takes the account to zero. Systems like this can trade profitably for a long time before that happens, which is why an unbroken track record does not settle the question.

Mechanisms found Martingale

How we classify loss mechanisms

EA GTX RnFXs MT5
Instruments
BTCUSD (Bitcoin) & XAUUSD (Gold)
Timeframe
Any
Minimum deposit
Use with CENT accounts from 2,000 USC
Version
1.75

Backtest results

Simulation — not a live account

Run in the MetaTrader Strategy Tester on real tick data. These are simulated results: a backtest shows how a strategy would have behaved on past prices, not how it will behave on your account.

Period Return Max drawdown Trades Win rate Profit factor
2025 May–Nov 6 months -76.3% −88.4% 3,421 47.7% 0.67
Equity curve — 2025 May–Nov Started at $10,000, ended at $2,370. Deepest drawdown −88.4%. Account balance Drawdown from peak 2025-05-01 → 2025-11-01
$2,370 $20,046 -88.4% 2025-05-01 2025-05-06

Settings that scale up after a loss

  • MinusAveragingStyle=1
  • LotMultiplierMinus=1.1
  • AveragingPlus=true
  • PlusAveragingStyle=2

These parameters come from the test report itself, not from the vendor's description. A strategy that increases position size after a loss has no defined worst case.

Full test statistics

Every figure below is copied from the MetaTrader report exactly as it appears there, so you can check it against your own run.

Trade counts

Total trades
3421
Total deals
6842
Long trades (won %)
1535 (43.71%)
Short trades (won %)
1886 (51.01%)
Winning trades
1633 (47.73%)
Losing trades
1788 (52.27%)

Best and worst single trades

Largest win
198.00
Largest loss
-605.54
Average win
9.65
Average loss
-13.08

Winning and losing streaks

Longest winning streak
65 (2 760.80)
Longest losing streak Consecutive losing trades, and what that streak cost. This is what you would have had to sit through.
46 (-18 069.54)
Biggest run-up
2 760.80 (65)
Biggest run-down
-18 069.54 (46)
Average winning streak
3
Average losing streak
3

Drawdown

Balance drawdown, absolute
7 630.13
Balance drawdown, maximal
18 069.54 (88.41%)
Balance drawdown, relative
88.41% (18 069.54)
Equity drawdown, absolute
9 587.41
Equity drawdown, maximal Measured on floating equity, not closed balance. Always the harsher of the two, and the one that triggers a margin call.
16 165.08 (97.51%)
Equity drawdown, relative
97.51% (16 165.08)

Risk and efficiency ratios

Profit factor
0.67
Expected payoff per trade Average result of one trade. A big number with a low win rate means it depends on rare large wins.
-2.23
Recovery factor Net profit divided by the worst drawdown. Below 1 means the deepest hole was bigger than everything it made.
-0.47
Sharpe ratio
-5.00
Margin level How close the account came to a margin call. The lower it got, the less room there was for one more losing position.
6.49%
Score
-19.93 (99.74%)
AHPR
0.9996 (-0.04%)
GHPR
0.9996 (-0.04%)
LR correlation
0.73
LR standard error
977.04

Holding time

Shortest position held
0:00:01
Longest position held
12:13:21
Average position held
0:16:34
Correlation (profit, MFE)
0.15
Correlation (profit, MAE) How strongly the eventual profit tracked the worst unrealised loss along the way.
0.73
Correlation (MFE, MAE)
-0.4320

Data quality

Trading server
BlueberryMarkets-Demo
Modelling quality
100%
Bars tested
1012
Ticks tested
1761890
Expert advisor settings used (23 parameters)

The exact parameters this test ran with, taken from the report. Results are only comparable when the settings are.

MinLeverage
100
MaxSpreadPoints
300
MagicNumber
123456
TradeDirection
2
MAPeriod
5
MAMethod
1
MAPrice
1
ExpertTimeframe
0
StartTime
01:00
EndTime
23:00
MinusAveragingStyle
1
MinusManualStepPoints
300.0
LotMultiplierMinus
1.1
AveragingPlus
true
PlusAveragingStyle
2
PlusManualStepPoints
2000.0
InitialLotSize
0.01
CloseProfitPerLot
3.0
CloseProfitPerLotNew
3.0
UseCutLoss
false
CutLossAmount
10000.0
UseTrailingStop
true
EnableDDR
true

How this was tested

Broker
Blueberry Markets Pty Ltd
Trading server
BlueberryMarkets-Demo
Symbol
XAUUSD.cn
Timeframe
M5
Starting balance
$10,000
Leverage
1:500
Tick data
100% modelling quality
Spread
Real variable spread

We ran this one in the same test as the rest of the list — including the ones that did not make the ranking: We backtested 19 expert advisors through the 2025 gold squeeze. 2 came through.

Specifications

Account type Any
Minimum leverage Any
License type NoDLL / Umlimited / Fix

Description

Trading BTCUSD and XAUUSD with a Controlled Grid

The system pairs two volatile instruments — Bitcoin and spot gold — with a strategy that layers a moving-average trend filter over a conservative grid. Rather than placing orders at fixed intervals regardless of market direction, the EA uses a fast EMA (period 5) to decide when new grid legs should open. This is not a pure trend follower, nor a classic martingale; it sits between the two, scaling into positions while trying to avoid the rapid overexposure that plagues many grid robots.

The vendor describes the approach as 'EMA-based trend detection with dual averaging'. In practice, that means the EA can open positions in both directions under its normal trade setting, but the EMA signal biases where the first entry lands. From there, a 30-point averaging distance spaces out additional layers. That may sound wide in a scalping context, but for BTCUSD and XAUUSD, 30 points is a deliberate attempt to keep the grid from stacking too tightly during fast moves.

The Martingale Question

Any buyer looking at a grid EA will ask how aggressive the lot scaling is. According to the developer, the lot multiplier is intentionally 'reasonable', and a drawdown-reduction mechanism (labelled DDR) can be enabled. The exact multiplier value is not disclosed in the available documentation, so this is a parameter to inspect carefully in the inputs before running live. DDR is presented as an extra layer that tries to cut floating drawdown pressure — but it is a proprietary function, not something you can verify from a description alone. Treat it as a starting point for your own parameter testing, not a guarantee.

Because the EA uses some form of grid averaging, it is not martingale-free. The risk profile depends heavily on account size, lot step, and the multiplier you approve. The supplied set files give vendor-tested baselines for BTCUSD on M5 and for both buy and sell setups on M1. Users must decide whether those presets fit their own risk tolerance.

What the Backtests Tell You — and What They Don’t

The vendor shares three three-month BTCUSD backtests, with starting balances of $2,000, $5,000 and $10,000. The reported drawdowns are low (under 7%), and the stated win rates hover around two-thirds of all trades. Those figures look tidy, but they are vendor-supplied results on a single pair over a single quarter. No statement covers how the EA behaved during a 30% Bitcoin drawdown, a flash crash, or a low-liquidity holiday session. Three months in crypto is a short sample. Test across a longer span, including sideways and falling markets, before judging whether the grid logic can absorb adverse conditions.

The EA is set to trade from 01:00 to 23:00 server time — a 22-hour window. That avoids the thinnest overnight hour, but it still exposes positions to almost the entire daily range. Traders who cannot tolerate overnight gaps on gold or weekend Bitcoin swings need to account for that exposure manually, perhaps by closing positions before major news events.

Setup, Licensing and the Provided Files

The download package contains one expert file (EA GTX RnFXs_fix.ex5) and five set files. The set files cover BTCUSD on M5 with a $5,000 baseline, plus separate buy and sell configurations for BTCUSD and XAUUSD on M1. Having direction-specific set files is unusual and worth noting: the developer likely tuned entries differently for long and short grids, perhaps because the EMA filter behaves asymmetrically on the two instruments.

Licensing is described as 'NoDLL / Unlimited / Fix'. That suggests the compiled expert does not call external DLLs, which is relevant for users who avoid DLL-dependent EAs on rented VPS servers or prop accounts. The 'unlimited' term implies no account-number lock, but confirm with the seller before running it across multiple terminals. Source code is not included; this is a compiled-only product.

The EA works on any timeframe according to its documentation, but the bundled set files are for M1 and M5. If you load it on H1 or D1 without changing the averaging distance and internal timing logic, the behaviour will not match the vendor’s backtests. Stick to the supplied timeframes unless you fully understand the input parameters.

Is the Minimum Deposit Realistic?

The developer states a minimum of 2,000 USC on a cent account. A cent account with 2,000 USC is equivalent to about $20 of notional margin in many broker environments. That is an unusually low capital requirement for a grid EA trading Bitcoin and gold. If you run the supplied $5,000 set file on a 2,000 USC cent account without adjusting lot size, the relative risk will be far higher than the vendor’s backtest implies. Treat the 2,000 USC figure as a technical floor, not a recommendation for live trading at that size.

For a standard (non-cent) account, the vendor’s own backtests use $2,000 to $10,000. A realistic live starting balance on a standard account should probably sit toward the upper end of that range if you intend to use the preset files unchanged. Otherwise, scale lots to match your actual balance and the maximum drawdown you are willing to accept.

Prop-Firm Compatibility

No information is provided about prop-firm drawdown limits or news-trading restrictions. Because the EA runs nearly all day, it will likely hold positions through high-impact news unless you intervene. If you plan to use it in a funded challenge, check the specific rules around holding overnight, weekend exposure on BTCUSD, and maximum open lots. The grid logic could breach daily drawdown limits during a strong trend if you have not tuned the multiplier and averaging distance correctly.

Frequently asked questions

Which timeframe should I use?

The developer says the EA works on any timeframe, but the included set files are only for M1 and M5. To replicate the vendor’s results, use those timeframes.

Does the EA use martingale or grid logic?

Yes. It uses a grid with a controllable lot multiplier. The vendor describes a 'reasonable' multiplier and a drawdown-reduction feature, but exact values are not published. You should check the multiplier input before going live.

Can I run it on a prop-firm account?

The EA does not state specific prop-firm compatibility. It trades nearly 22 hours a day and may hold positions across news, so check your funded account’s rules on drawdown and overnight exposure.

Is source code included?

No. The package contains only a compiled .ex5 file and set files. You cannot modify the core logic.

How much capital do I really need?

The vendor lists 2,000 USC on a cent account as a minimum, but the backtests use $2,000 to $10,000 on a standard account. A cent account at that level is very small relative to the grid, so adjust lot size carefully.

Tags

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