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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
2026-07-03 → 2026-09-30 (90 days)
Simulations
100 markets
Generated
2026-09-30T08:46:33.000Z

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 21 11 19 +$102.41 8.64% View
2 21 12 8 +$60.98 8.93% View
3 12 16 5 +$23.10 9.96% View
4 9 9 7 +$9.66 9.74% View
5 8 11 9 +$20.47 9.73% View
6 8 4 10 $-0.58 10.68% View
7 7 14 11 +$34.74 9.31% View
8 6 11 10 +$24.06 9.53% View
9 4 7 13 +$15.53 9.72% View
10 4 5 8 $-19.48 11.21% View

Simulation Data

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

100
10
333,355
1,000
0
0
4,666,970

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 Vanguard EA

Confidence Low

Gold Vanguard EA delivered the strongest overall performance across all 100 simulations, averaging $102.41 with 21 first-place finishes.

It remained among the top three in 51 of 100 runs, showing that its lead was not dependent on only a few exceptional outcomes.

Average drawdown remained contained at 8.64%, supporting a favourable balance between profitability and capital stress.

🛡 Most Consistent — Gold Vanguard EA

Confidence Moderate

Gold Vanguard EA showed the most stable profit path across the batch, with smaller swings between individual market scenarios.

It stayed profitable in 88 of 100 scenarios and placed top-three 51 times — steady without needing to dominate every run.

It balanced repeatability with 21 outright wins — competitive without being the most aggressive in the batch.

⚖ Best Risk-Adjusted Performance — Gold Vanguard EA

Profit-to-Drawdown Ratio 11.9Confidence High

With a profit-to-drawdown ratio of 11.9, Gold Vanguard EA 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.

It combined the batch's highest average profit with comparatively low average drawdown, producing the strongest profit-to-drawdown trade-off.

⚠ Highest Drawdown Variability — XIRO Robot

Confidence Low

Equity swings were widest here — drawdown ranged from 5.42% to 30.41% across 100 simulations.

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

Even its best run ($186.39) did not offset how widely drawdown outcomes diverged across paths.

Simulation Analysis by Expert Advisor

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

Gold Vanguard EA

Observed across 100 independent market paths: Gold Vanguard EA ranked first overall with 21 simulation wins and the highest average return at $102.41.

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: Severe equity declines were avoided in every simulation, with peak drawdown remaining under 20%.

Path variation: Results swung sharply between simulations (profit spread $435.32).

Best EnvironmentBalanced conditions · Moderate volatility · Mixed regimes
Weakest EnvironmentExtreme trends · High volatility · Low liquidity phases
Suitable ForSuitable for traders seeking competitive returns in favourable market regimes.

Sharkyra Gold

Observed across 100 independent market paths: Sharkyra Gold finished second with 21 wins and an average return of $60.98 across 100 paths.

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: Temporary equity pressure peaked at 20.78% — elevated, yet recovery generally followed in winning simulations.

Path variation: Results swung sharply between simulations (profit spread $463.49).

Best EnvironmentBalanced conditions · Moderate volatility · Mixed regimes
Weakest EnvironmentExtreme trends · High volatility · Low liquidity phases
Suitable ForSuitable for traders seeking competitive returns in favourable market regimes.

XG Gold Robot

Observed across 100 independent market paths: XG Gold Robot took third place (12 wins, $23.10 average) and stayed competitive in 33 simulations.

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 27.36%, spread 23.50%), though 56 of 100 paths still finished profitable.

Path variation: Results swung sharply between simulations (profit spread $534.29).

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

Cortex Aurex

Observed across 100 independent market paths: Cortex Aurex landed in the upper half at rank #4, posting 9 wins and $9.66 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 24.04%, spread 19.12%), though 49 of 100 paths still finished profitable.

Path variation: Results swung sharply between simulations (profit spread $448.75).

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

Quantum Valkyrie

Observed across 100 independent market paths: Quantum Valkyrie landed in the upper half at rank #5, posting 8 wins and $20.47 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 25.63% 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.

Obsidian Flow Atlas EA

Observed across 100 independent market paths: Obsidian Flow Atlas EA ranked #6 of 10 — 8 wins, $-0.58 average profit, 22 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: Drawdown pressure stayed elevated (avg 10.68%, peak 22.93%) and recovery was inconsistent.

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.

BB Return

Observed across 100 independent market paths: BB Return ranked #7 of 10 — 7 wins, $34.74 average profit, 32 top-three finishes.

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: Average drawdown reached 9.31% with peaks near 23.24%, but recovery completed in most profitable paths.

Path variation: Only 7 outright wins, but frequently stayed within reach of the leaders.

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.

SixtyNine EA

Observed across 100 independent market paths: SixtyNine EA ranked #8 of 10 — 6 wins, $24.06 average profit, 27 top-three finishes.

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: Average drawdown reached 9.53% with peaks near 22.97%, but recovery completed in most profitable paths.

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.

Nexorion Initium Novum EA

Observed across 100 independent market paths: Nexorion Initium Novum EA ranked #9 of 10 — 4 wins, $15.53 average profit, 24 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: Drawdown averaged 9.72% with wider peaks, acceptable given net profitability across the 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.

XIRO Robot

Observed across 100 independent market paths: XIRO Robot ranked #10 of 10 — 4 wins, $-19.48 average profit, 17 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 30.41%, spread 24.99%), though 48 of 100 paths still finished profitable.

Path variation: Results swung sharply between simulations (profit spread $461.36).

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.