MyFxBots In-Depth Review of Apex Engine: Strategy Analysis, Backtests, & Live Trading Results

Apex Engine ships its testing evidence as a downloadable archive of MT4 strategy-tester reports, which the desk opened on 4 November 2026. Inside are several runs of EUR/USD on M15, all covering the same multi-year window, all modelled every tick from one server's feed, with different deposits and different risk presets; the rule under test is the same mean reversion entry in every one.

Read together, they show profit in every run, a high proportion of winners, and average winners and losers close enough in size that the result comes from the hit rate rather than from payoff. They also show the cost of the basket: in each run the deepest balance drawdown lands on the heaviest add-on sequence, and the biggest single loss dwarfs the average one. Neither a stop-loss nor a take-profit appears on any order in these reports, and the add-on lots rise as the sequence deepens.

None of this is live trading; it is modelling. The spread field in every report is the broker's current value rather than a historical series, so the fills assume a cost that live conditions will not hold constant. The server named in the reports is the broker the vendor recommends on its own broker page, so the conditions tested are the vendor's preferred ones. The reports print no inputs, so the loss controls cannot be shown to have been active. Past performance does not predict future results, and a single window on a single pair is a thin sample.

Apex Engine Robot on EURUSD M15 Chart - $1000 to $10583 via BlazeMarkets-Real Server, Spread Current (1), from May 2021 to May 2026

1K Ultra Risk

Backtest Summary View Full Backtest

Backtests Settings

Symbol

EURUSD (Euro vs US Dollar)

Period

15 Minutes (M15) 2021.05.02 22:03 - 2026.03.20 21:45 (2021.05.01 - 2026.05.08)

Broker

BlazeMarkets-Real Server

Model

Every tick (the most precise method based on all available least timeframes)

Parameters

Bars in test

Ticks modelled

Modelling quality

Initial Deposit

$1000.00

Spread

Current (1)

Backtests Results

Total net profit

9583.31

Gross profit

15234.85

Gross loss

-5651.55

Profit factor

2.70

Expected payoff

7.72

Absolute Bal DD

47.26

Maximal Bal DD

2604.65

Relative Bal DD

54.48% (1700.75)

Total Trades

1242

Short positions

606 (73.10%)

Long positions

636 (70.91%)

Profit trades

894 (71.98%)

Loss trades

348 (28.02%)

Largest Profit trade

884.52

Largest Loss trade

-160.99

Average Profit trade

17.04

Average Loss trade

-16.24

Maximum consecutive wins (profit in money)

4 (-487.91)

Maximum consecutive losses (loss in money)

-

Maximal consecutive profit (count of wins)

1035.32 (2)

Maximal consecutive loss (count of losses)

-487.91 (4)

Avarage consecutive wins

4

Avarage consecutive losses

2

Official Website

$ 597 / Year Apex Engine One Year (Year) $ 997 Apex Engine Lifetime

Apex Engine Robot on EURUSD M15 Chart - $25000 to $286071 via BlazeMarkets-Real Server, Spread Current (3), from May 2021 to May 2026

25K Ultra Risk

Backtest Summary View Full Backtest

Backtests Settings

Symbol

EURUSD (Euro vs US Dollar)

Period

15 Minutes (M15) 2021.05.02 22:03 - 2026.04.17 18:30 (2021.05.01 - 2026.05.08)

Broker

BlazeMarkets-Real Server

Model

Every tick (the most precise method based on all available least timeframes)

Parameters

Bars in test

Ticks modelled

Modelling quality

Initial Deposit

$25000.00

Spread

Current (3)

Backtests Results

Total net profit

261071.41

Gross profit

426182.29

Gross loss

-165110.88

Profit factor

2.58

Expected payoff

203.01

Absolute Bal DD

4707.95

Maximal Bal DD

66113.28

Relative Bal DD

49.22% (19667.55)

Total Trades

1286

Short positions

627 (72.89%)

Long positions

659 (70.86%)

Profit trades

924 (71.85%)

Loss trades

362 (28.15%)

Largest Profit trade

18800.00

Largest Loss trade

-4815.53

Average Profit trade

461.24

Average Loss trade

-456.11

Maximum consecutive wins (profit in money)

4 (-13602.61)

Maximum consecutive losses (loss in money)

-

Maximal consecutive profit (count of wins)

26888.90 (11)

Maximal consecutive loss (count of losses)

-13602.61 (4)

Avarage consecutive wins

4

Avarage consecutive losses

2

Official Website

$ 597 / Year Apex Engine One Year (Year) $ 997 Apex Engine Lifetime

Apex Engine Robot on EURUSD M15 Chart - $100000 to $990490 via BlazeMarkets-Real Server, Spread Current (1), from May 2021 to May 2026

100K Ultra Risk

Backtest Summary View Full Backtest

Backtests Settings

Symbol

EURUSD (Euro vs US Dollar)

Period

15 Minutes (M15) 2021.05.02 22:03 - 2026.04.17 18:30 (2021.05.01 - 2026.05.08)

Broker

BlazeMarkets-Real Server

Model

Every tick (the most precise method based on all available least timeframes)

Parameters

Bars in test

Ticks modelled

Modelling quality

Initial Deposit

$100000.00

Spread

Current (1)

Backtests Results

Total net profit

890490.49

Gross profit

1423106.38

Gross loss

-532615.88

Profit factor

2.67

Expected payoff

694.07

Absolute Bal DD

18901.77

Maximal Bal DD

164962.93

Relative Bal DD

49.10% (78244.90)

Total Trades

1283

Short positions

626 (73.64%)

Long positions

657 (70.78%)

Profit trades

926 (72.17%)

Loss trades

357 (27.83%)

Largest Profit trade

32750.00

Largest Loss trade

-10915.74

Average Profit trade

1536.83

Average Loss trade

-1491.92

Maximum consecutive wins (profit in money)

4 (-26781.33)

Maximum consecutive losses (loss in money)

-

Maximal consecutive profit (count of wins)

75104.17 (12)

Maximal consecutive loss (count of losses)

-26781.33 (4)

Avarage consecutive wins

4

Avarage consecutive losses

2

Official Website

$ 597 / Year Apex Engine One Year (Year) $ 997 Apex Engine Lifetime

Apex Engine Robot on EURUSD M15 Chart - $100000 to $494770 via BlazeMarkets-Real Server, Spread Current (1), from May 2021 to May 2026

100k High Risk

Backtest Summary View Full Backtest

Backtests Settings

Symbol

EURUSD (Euro vs US Dollar)

Period

15 Minutes (M15) 2021.05.02 22:03 - 2026.03.20 21:45 (2021.05.01 - 2026.05.08)

Broker

BlazeMarkets-Real Server

Model

Every tick (the most precise method based on all available least timeframes)

Parameters

Bars in test

Ticks modelled

Modelling quality

Initial Deposit

$100000.00

Spread

Current (1)

Backtests Results

Total net profit

394770.67

Gross profit

668932.07

Gross loss

-274161.40

Profit factor

2.44

Expected payoff

312.32

Absolute Bal DD

8893.23

Maximal Bal DD

85660.12

Relative Bal DD

33.27% (45424.16)

Total Trades

1264

Short positions

615 (73.33%)

Long positions

649 (70.11%)

Profit trades

906 (71.68%)

Loss trades

358 (28.32%)

Largest Profit trade

30544.70

Largest Loss trade

-5004.95

Average Profit trade

738.34

Average Loss trade

-765.81

Maximum consecutive wins (profit in money)

4 (-17058.06)

Maximum consecutive losses (loss in money)

-

Maximal consecutive profit (count of wins)

30805.65 (3)

Maximal consecutive loss (count of losses)

-17058.06 (4)

Avarage consecutive wins

4

Avarage consecutive losses

2

Official Website

$ 597 / Year Apex Engine One Year (Year) $ 997 Apex Engine Lifetime

Apex Engine Robot on EURUSD M15 Chart - $500 to $3295 via BlazeMarkets-Real Server, Spread Current (1), from May 2021 to May 2026

100k High Risk

Backtest Summary View Full Backtest

Backtests Settings

Symbol

EURUSD (Euro vs US Dollar)

Period

15 Minutes (M15) 2021.05.02 22:03 - 2026.03.20 21:45 (2021.05.01 - 2026.05.08)

Broker

BlazeMarkets-Real Server

Model

Every tick (the most precise method based on all available least timeframes)

Parameters

Bars in test

Ticks modelled

Modelling quality

Initial Deposit

$500.00

Spread

Current (1)

Backtests Results

Total net profit

2795.96

Gross profit

4642.05

Gross loss

-1846.09

Profit factor

2.51

Expected payoff

2.23

Absolute Bal DD

47.26

Maximal Bal DD

645.43

Relative Bal DD

41.03% (400.95)

Total Trades

1256

Short positions

611 (72.67%)

Long positions

645 (69.92%)

Profit trades

895 (71.26%)

Loss trades

361 (28.74%)

Largest Profit trade

196.56

Largest Loss trade

-32.94

Average Profit trade

5.19

Average Loss trade

-5.11

Maximum consecutive wins (profit in money)

5 (-79.69)

Maximum consecutive losses (loss in money)

-

Maximal consecutive profit (count of wins)

230.20 (2)

Maximal consecutive loss (count of losses)

-109.47 (4)

Avarage consecutive wins

4

Avarage consecutive losses

2

Official Website

$ 597 / Year Apex Engine One Year (Year) $ 997 Apex Engine Lifetime

Apex Engine Robot on EURUSD M15 Chart - $10000 to $36204 via BlazeMarkets-Real Server, Spread Current (1), from May 2021 to May 2026

10K Medium Risk

Backtest Summary View Full Backtest

Backtests Settings

Symbol

EURUSD (Euro vs US Dollar)

Period

15 Minutes (M15) 2021.05.02 22:03 - 2026.03.20 21:45 (2021.05.01 - 2026.05.08)

Broker

BlazeMarkets-Real Server

Model

Every tick (the most precise method based on all available least timeframes)

Parameters

Bars in test

Ticks modelled

Modelling quality

Initial Deposit

$10000.00

Spread

Current (1)

Backtests Results

Total net profit

26204.95

Gross profit

43765.98

Gross loss

-17561.03

Profit factor

2.49

Expected payoff

20.70

Absolute Bal DD

766.53

Maximal Bal DD

5119.47

Relative Bal DD

26.88% (3393.68)

Total Trades

1266

Short positions

615 (73.33%)

Long positions

651 (69.89%)

Profit trades

906 (71.56%)

Loss trades

360 (28.44%)

Largest Profit trade

1857.12

Largest Loss trade

-290.67

Average Profit trade

48.31

Average Loss trade

-48.78

Maximum consecutive wins (profit in money)

5 (-737.00)

Maximum consecutive losses (loss in money)

-

Maximal consecutive profit (count of wins)

1872.16 (3)

Maximal consecutive loss (count of losses)

-987.04 (4)

Avarage consecutive wins

4

Avarage consecutive losses

2

Official Website

$ 597 / Year Apex Engine One Year (Year) $ 997 Apex Engine Lifetime

Apex Engine Robot on EURUSD M15 Chart - $100000 to $239258 via BlazeMarkets-Real Server, Spread Current (1), from May 2021 to May 2026

100K Low Risk

Backtest Summary View Full Backtest

Backtests Settings

Symbol

EURUSD (Euro vs US Dollar)

Period

15 Minutes (M15) 2021.05.02 22:03 - 2026.03.20 21:45 (2021.05.01 - 2026.05.08)

Broker

BlazeMarkets-Real Server

Model

Every tick (the most precise method based on all available least timeframes)

Parameters

Bars in test

Ticks modelled

Modelling quality

Initial Deposit

$100000.00

Spread

Current (1)

Backtests Results

Total net profit

139258.81

Gross profit

235714.35

Gross loss

-96455.54

Profit factor

2.44

Expected payoff

109.91

Absolute Bal DD

5352.56

Maximal Bal DD

24296.73

Relative Bal DD

18.95% (22125.11)

Total Trades

1267

Short positions

616 (73.21%)

Long positions

651 (69.89%)

Profit trades

906 (71.51%)

Loss trades

361 (28.49%)

Largest Profit trade

11818.62

Largest Loss trade

-2404.58

Average Profit trade

260.17

Average Loss trade

-267.19

Maximum consecutive wins (profit in money)

5 (-8935.84)

Maximum consecutive losses (loss in money)

-

Maximal consecutive profit (count of wins)

12780.45 (6)

Maximal consecutive loss (count of losses)

-8935.84 (5)

Avarage consecutive wins

4

Avarage consecutive losses

2

Official Website

$ 597 / Year Apex Engine One Year (Year) $ 997 Apex Engine Lifetime

What the runs do verify is coverage: one rule across several account sizes and several risk presets, behaving consistently, with outcomes that grow with the preset rather than implying a second edge. They cannot verify fills at a live EUR/USD spread while the ladder is being built, whether the Safety Pause or the Close-All Stop was switched on in these runs, or how a basket that survives the model behaves in a week when the pair does not revert. A demo run on the reader's own broker is where those questions belong.

Entry: the far side of a stretched move

This is mean reversion run as a rule rather than a forecast, and the published description is narrow. The system measures how far EUR/USD has moved from its recent average and acts only when the market has reached a statistical extreme, buying when the pair is oversold and selling when it is overbought. No indicator, lookback window, threshold, session filter, or news filter is named anywhere on the product page, and the vendor sets no maximum spread, account type or broker condition for the system to work as designed. It is a single-instrument design: one pair, one chart, no diversification.

A losing position is added to, not closed

This is the part that decides the risk. The vendor states that when the market keeps moving after the first entry, Apex Engine adds at better prices so that the average entry moves closer to the market and a smaller bounce is enough to turn the whole position profitable. That is averaging into a loser. The published trade logs go further than the page: the add-on entries are not equal in size, and each is larger than the one before it, so the position grows fastest exactly when it is furthest from profit. Neither a stop-loss nor a take-profit is attached to any order in those logs; every exit is the system's own decision. This is a martingale-style ladder inside a single basket, and it should be read as such before the price is read.

Exits, and the two loss controls

The basket is closed by a trailing profit lock: it follows open profit upward and exits the whole position the moment price pulls back, so the target is never a fixed number of pips. Two loss limits sit underneath. A Safety Pause stops new entries once losses reach a chosen percentage while still managing the open positions towards an exit; a Close-All Stop closes every position and shuts the system down at a maximum loss. Both thresholds belong to the buyer, neither value is published, and the archive prints no inputs — so whether either control was switched on in the vendor's own runs cannot be established from what the site supplies.

Size, presets and the shape of the exposure

Sizing is described as a percentage of balance under the vendor's "Smart Risk Management", adjusted to the risk level the buyer selects; the archive carries presets named Low, Medium, High and Ultra across accounts of very different sizes. Because the base size is a share of a compounding balance and the adds escalate on top of it, the exposure of a basket deep in drawdown is a multiple of the first entry rather than a fixed risk per trade. A trader who sizes the account for the first order and not for the ladder will be under-capitalised at the moment it matters.

The product page for Apex Engine names four controls but publishes no input list, no parameter names and no defaults, and the archive prints results and trade logs rather than the Inputs block. What follows records the controls as the vendor describes them, marks every unpublished value, and adds the two scope facts the published reports do establish.

Two points follow from the table. The published reports are MT4 output and the product page lists no MT5 build, so a trader working on MT5 should confirm the platform question with the vendor before buying. And because no input list is printed anywhere, the only way to learn what the pause and the close-all thresholds are set to is to ask the vendor in writing or to read them in the terminal after purchase.

Apex Engine arrives with three kinds of evidence: a vendor page, a tracked live account that stayed behind a sign-in, and an archive of MT4 reports. The reports are detailed enough to check, and they remain a model run on the vendor's preferred server with no inputs printed. What stands out is not the return but the mechanism: one pair, a mean reversion entry at an extreme, and a losing position that is added to with rising size until a small retracement closes it.

It suits a trader who understands averaging, can fund an account large enough for the ladder, and will set the pause and the close-all level before switching the system on. It does not suit anyone who assumes a stop-loss is present because exits are managed, or a trader who wants more than one instrument.

Automated trading of this kind risks loss, and no test guarantees anything. What remains is for the reader to check: the Myfxbook history, a written answer on which controls were live in the tests, and an account size that survives the deepest basket the model produced.