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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
2026-07-12 → 2026-09-09 (60 days)
Simulations
100 markets
Generated
2026-09-09T09:44:28.000Z

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 16 17 5 +$3.82 12.15% View
2 15 10 11 +$46.84 9.10% View
3 15 7 8 +$0.45 11.98% View
4 12 11 14 +$21.52 8.22% View
5 11 15 18 +$64.10 8.22% View
6 10 15 5 +$17.68 6.45% View
7 8 9 4 $-8.56 10.56% View
8 6 9 12 $-3.14 10.44% View
9 4 2 10 +$1.11 9.24% View
10 3 5 13 $-2.95 9.08% View

Simulation Data

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

100
10
259,296
1,000
0
0
3,630,144

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 — ArtQuant Gold

Confidence Low

ArtQuant Gold separated itself from the field by combining frequent wins with an average return of $3.82.

Strong alignment with trending and volatile phases allowed it to stay near the front across 38 top-three finishes.

Downside stayed controlled throughout the batch — peak drawdown was 45.53% while profitability led the field.

🛡 Most Consistent — The Buster XAU Single Entry

Confidence Low

The Buster XAU Single Entry showed the most stable profit path across the batch, with smaller swings between individual market scenarios.

It stayed profitable in 56 of 100 scenarios and placed top-three 16 times — steady without needing to dominate every run.

It rarely finished first (4 wins), trading peak performance for repeatability.

Best Risk-Adjusted Performance — Orion Gold Scalper

Profit-to-Drawdown Ratio 7.8Confidence Moderate

With a profit-to-drawdown ratio of 7.8, Orion Gold Scalper 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 — ArtQuant Gold

Confidence Moderate

No other EA matched the drawdown dispersion of ArtQuant Gold, making it the most path-dependent in this test.

Hostile regime combinations — trend reversals, volatility spikes, or range extensions — hit this strategy harder than peers.

Favourable paths still delivered standout peaks — the trade-off is higher drawdown variability, not absence of upside.

Simulation Analysis by Expert Advisor

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

ArtQuant Gold

Observed across 100 independent market paths: ArtQuant Gold ranked first overall with 16 simulation wins and the highest average return at $3.82.

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 45.53% 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.

Gold Zilla AI

Observed across 100 independent market paths: Gold Zilla AI finished second with 15 wins and an average return of $46.84 across 100 paths.

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 27.33%, 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.

Yukon

Observed across 100 independent market paths: Yukon took third place (15 wins, $0.45 average) and stayed competitive in 30 simulations.

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 35.84% 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 ForAppropriate as one component within a broader multi-EA approach.

Prisma

Observed across 100 independent market paths: Prisma landed in the upper half at rank #4, posting 12 wins and $21.52 average profit.

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 20.83% 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 ForAppropriate as one component within a broader multi-EA approach.

Orion Gold Scalper

Observed across 100 independent market paths: Orion Gold Scalper landed in the upper half at rank #5, posting 11 wins and $64.10 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: Downside risk remained moderate. Maximum drawdown stayed below 20% throughout every simulation.

Path variation: Results swung sharply between simulations (profit spread $473.20).

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

Mosquito

Observed across 100 independent market paths: Mosquito ranked #6 of 10 — 10 wins, $17.68 average profit, 30 top-three finishes.

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 23.72% 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 ForAppropriate as one component within a broader multi-EA approach.

Helios Gold AI

Observed across 100 independent market paths: Helios Gold AI ranked #7 of 10 — 8 wins, $-8.56 average profit, 21 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 27.18%, 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.

Prime Execution AI EA

Observed across 100 independent market paths: Prime Execution AI EA ranked #8 of 10 — 6 wins, $-3.14 average profit, 27 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 28.13%, spread 23.11%), though 49 of 100 paths still finished profitable.

Path variation: Results swung sharply between simulations (profit spread $475.49).

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.

The Buster XAU Single Entry

Observed across 100 independent market paths: The Buster XAU Single Entry ranked #9 of 10 — 4 wins, $1.11 average profit, 16 top-three finishes.

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 21.17%, spread 19.15%), though 56 of 100 paths still finished profitable.

Path variation: Results swung sharply between simulations (profit spread $391.00).

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

Mavrik Scalper

Observed across 100 independent market paths: Mavrik Scalper ranked #10 of 10 — 3 wins, $-2.95 average profit, 21 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 27.63%, 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.