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100 Live Simulations

FX EA Tester Report

Consistency across 100 independent AI market scenarios — averaged performance, market gallery, and per-EA breakdown

Symbol
XAUUSD
Deposit
$1000.00
Lot size
0.01
Period
2026-08-12 → 2026-09-10 (30 days)
Simulations
100 markets
Generated
2026-09-10T08:47:43.000Z

Overview

One chart can flatter. 100 different futures cannot. This book stress-tests your EAs on XAUUSD across 25 bull, 25 bear, 25 range, and 25 mixed paths — then ranks what held up. Open every scenario in the 100 Market Conditions table.

The simulations are generated using deterministic rules and random seeds. AI controls market generation, while all reported statistics are calculated directly from the resulting trade data.

Why this report differs. Unlike a historical backtest, every simulation begins from a different AI-generated market path rather than replaying the same historical price movement.

Same EAs. Same deposit. Same lot size. Only the market story changes — so the rankings below show consistency, not a lucky streak.

100 Market Conditions

100 independent market paths — open the table index to sort by run, family, volatility, or winner, then dive into any scenario.

View all 100 markets →

Leaderboard

Medal counts show how often each EA finished 1st, 2nd, or 3rd across all simulations. Ranked by gold medals, then average profit.

Rank EA 🥇 Gold 🥈 Silver 🥉 Bronze Avg Profit Avg Max DD View
1 17 8 11 +$19.16 7.60% View
2 13 13 13 +$13.26 7.28% View
3 12 6 11 +$8.83 6.65% View
4 11 11 14 +$22.61 5.72% View
5 11 7 5 $-20.44 8.72% View
6 10 13 10 $-6.03 8.73% View
7 10 8 8 $-19.08 8.01% View
8 9 11 10 $-5.87 6.89% View
9 6 11 9 $-8.49 7.48% View
10 1 12 9 $-13.57 6.33% View

Simulation Data

Scale of computation behind this 100-simulation batch — every trade, bar, and ranking across all market paths.

100
10
153,534
1,000
0
0
2,149,476

Simulation Highlights

The strongest, most repeatable, best risk-adjusted, and highest-variability results across 100 independent market scenarios.

Simulation Highlights: Insights are derived from average and spread data across 100 AI market scenarios. Individual runs may differ.

🏆 Overall Winner — GOLD Scalper PRO

Confidence Moderate

While several EAs posted strong individual runs, GOLD Scalper PRO led the batch with 17 outright victories and the highest average profit.

Consistent upper-tier rankings — top three in 36 paths — explain why it outpaced more volatile competitors.

Downside stayed controlled throughout the batch — peak drawdown was 56.97% while profitability led the field.

🛡 Most Consistent — Luna AI Pro

Confidence Low

Luna AI Pro produced the lowest variation in profitability between simulations (spread $406.61, std. dev. $115.16).

Rather than relying on a few exceptional runs, it maintained competitive performance across a wide variety of market conditions.

This consistency came at the cost of fewer outright wins than more aggressive competitors.

Best Risk-Adjusted Performance — The Buster XAU Single Entry

Profit-to-Drawdown Ratio 4.0Confidence High

With a profit-to-drawdown ratio of 4.0, The Buster XAU Single Entry delivered the strongest return relative to capital stress in this test.

Returns scaled favourably versus drawdown, suggesting conditions aligned with its strategy without excessive recovery pressure.

Maximum upside was moderate compared with the batch winner, yet the profit-to-drawdown trade-off was the most attractive.

Highest Drawdown Variability — Gold Vanguard EA

Confidence Moderate

Equity swings were widest here — drawdown ranged from 1.08% to 66.58% across 100 simulations.

Market paths that favoured other strategy types repeatedly punished this design.

When volatility aligned, it occasionally produced some of the strongest individual simulation results (best run $172.50).

Simulation Analysis by Expert Advisor

Observed across 100 independent market paths. Strategy-family context is explanatory, not a forecast.

GOLD Scalper PRO

Observed across 100 independent market paths: GOLD Scalper PRO ranked first overall with 17 simulation wins and the highest average return at $19.16.

Strategy-family context: trading responded to the market conditions present during this simulation, with profitability concentrated in favourable regime combinations.

Observed risk across the sample: Extended adverse movement drove drawdowns toward 56.97%, exposing sensitivity to sustained hostile regimes.

Path variation: High path sensitivity produced wide outcome dispersion across the batch.

Best EnvironmentBalanced conditions · Moderate volatility · Mixed regimes
Weakest EnvironmentExtreme trends · High volatility · Low liquidity phases
Suitable ForWell suited to active monitoring during trending or volatile phases.

TNG Gold

Observed across 100 independent market paths: TNG Gold finished second with 13 wins and an average return of $13.26 across 100 paths.

Strategy-family context: Responded to the market conditions present during this simulation, producing positive average returns despite uneven paths.

Observed risk across the sample: Peak drawdown hit 31.99% when trends ran without sufficient recovery — a defining risk characteristic of this batch.

Path variation: Performance depended heavily on which market path appeared — strong in some, weak in others.

Best EnvironmentBalanced conditions · Moderate volatility · Mixed regimes
Weakest EnvironmentExtreme trends · High volatility · Low liquidity phases
Suitable ForA strong candidate when conditions align with its dominant strategy type.

TwisterPro Scalper

Observed across 100 independent market paths: TwisterPro Scalper took third place (12 wins, $8.83 average) and stayed competitive in 29 simulations.

Strategy-family context: trading responded to the market conditions present during this simulation, with profitability concentrated in favourable regime combinations.

Observed risk across the sample: Extended adverse movement drove drawdowns toward 23.95%, exposing sensitivity to sustained hostile regimes.

Path variation: High path sensitivity produced wide outcome dispersion across the batch.

Best EnvironmentBalanced conditions · Moderate volatility · Mixed regimes
Weakest EnvironmentExtreme trends · High volatility · Low liquidity phases
Suitable ForWorks best when paired with strategies covering different market regimes.

The Buster XAU Single Entry

Observed across 100 independent market paths: The Buster XAU Single Entry landed in the upper half at rank #4, posting 11 wins and $22.61 average profit.

Strategy-family context: Overall gains reflected responded to the market conditions present during this simulation when market conditions aligned with its design.

Observed risk across the sample: Large equity declines clustered in prolonged one-directional markets (peak 24.62%, spread 23.11%), though 59 of 100 paths still finished profitable.

Path variation: Results swung sharply between simulations (profit spread $406.43).

Best EnvironmentBalanced conditions · Moderate volatility · Mixed regimes
Weakest EnvironmentExtreme trends · High volatility · Low liquidity phases
Suitable ForSuitable for diversified portfolios rather than standalone deployment.

SuperScalp Gold

Observed across 100 independent market paths: SuperScalp Gold landed in the upper half at rank #5, posting 11 wins and $-20.44 average profit.

Strategy-family context: Responded to the market conditions present during this simulation, but hostile regime mixes outweighed favourable opportunities.

Observed risk across the sample: Peak drawdown hit 28.33% when trends ran without sufficient recovery — a defining risk characteristic of this batch.

Path variation: Performance depended heavily on which market path appeared — strong in some, weak in others.

Best EnvironmentBalanced conditions · Moderate volatility · Mixed regimes
Weakest EnvironmentProlonged adverse trends · Extreme trends · High volatility
Suitable ForConsider only with strict risk limits if used at all.

Gold Vanguard EA

Observed across 100 independent market paths: Gold Vanguard EA ranked #6 of 10 — 10 wins, $-6.03 average profit, 33 top-three finishes.

Strategy-family context: Hostile regime combinations limited the benefit of responded to the market conditions present during this simulation.

Observed risk across the sample: Large equity declines clustered in prolonged one-directional markets (peak 66.58%, spread 65.50%), though 48 of 100 paths still finished profitable.

Path variation: Results swung sharply between simulations (profit spread $396.55).

Best EnvironmentBalanced conditions · Moderate volatility · Mixed regimes
Weakest EnvironmentProlonged adverse trends · Extreme trends · High volatility
Suitable ForMore suitable for comparison benchmarking than primary deployment in this batch.

Mavrik Scalper

Observed across 100 independent market paths: Mavrik Scalper ranked #7 of 10 — 10 wins, $-19.08 average profit, 26 top-three finishes.

Strategy-family context: trading responded to the market conditions present during this simulation — yet adverse scenarios dominated the batch average.

Observed risk across the sample: Extended adverse movement drove drawdowns toward 27.86%, exposing sensitivity to sustained hostile regimes.

Path variation: High path sensitivity produced wide outcome dispersion across the batch.

Best EnvironmentBalanced conditions · Moderate volatility · Mixed regimes
Weakest EnvironmentProlonged adverse trends · Extreme trends · High volatility
Suitable ForBest evaluated alongside stronger performers rather than as a standalone choice.

Luna AI Pro

Observed across 100 independent market paths: Luna AI Pro ranked #8 of 10 — 9 wins, $-5.87 average profit, 30 top-three finishes.

Strategy-family context: trading responded to the market conditions present during this simulation — yet adverse scenarios dominated the batch average.

Observed risk across the sample: Extended adverse movement drove drawdowns toward 32.65%, exposing sensitivity to sustained hostile regimes.

Path variation: Only 9 outright wins, but frequently stayed within reach of the leaders.

Best EnvironmentBalanced conditions · Moderate volatility · Mixed regimes
Weakest EnvironmentProlonged adverse trends · Extreme trends · High volatility
Suitable ForBest evaluated alongside stronger performers rather than as a standalone choice.

Wave Rider EA

Observed across 100 independent market paths: Wave Rider EA ranked #9 of 10 — 6 wins, $-8.49 average profit, 26 top-three finishes.

Strategy-family context: Responded to the market conditions present during this simulation, but hostile regime mixes outweighed favourable opportunities.

Observed risk across the sample: Peak drawdown hit 34.90% when trends ran without sufficient recovery — a defining risk characteristic of this batch.

Path variation: Performance depended heavily on which market path appeared — strong in some, weak in others.

Best EnvironmentBalanced conditions · Moderate volatility · Mixed regimes
Weakest EnvironmentProlonged adverse trends · Extreme trends · High volatility
Suitable ForConsider only with strict risk limits if used at all.

SwissSniperEA

Observed across 100 independent market paths: SwissSniperEA ranked #10 of 10 — 1 wins, $-13.57 average profit, 22 top-three finishes.

Strategy-family context: Hostile regime combinations limited the benefit of responded to the market conditions present during this simulation.

Observed risk across the sample: Large equity declines clustered in prolonged one-directional markets (peak 42.76%, spread 42.76%), though 46 of 100 paths still finished profitable.

Path variation: Results swung sharply between simulations (profit spread $465.55).

Best EnvironmentBalanced conditions · Moderate volatility · Mixed regimes
Weakest EnvironmentProlonged adverse trends · Extreme trends · High volatility
Suitable ForMore suitable for comparison benchmarking than primary deployment in this batch.