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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
2026-09-30T08:50:13.000Z

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 18 15 10 +$61.25 9.54% View
2 17 11 11 +$42.56 8.91% View
3 12 6 12 +$25.24 9.21% View
4 12 7 17 +$24.61 10.03% View
5 11 12 6 +$21.47 9.59% View
6 8 4 12 +$3.11 9.60% View
7 7 14 8 +$30.91 9.01% View
8 5 14 10 +$22.39 9.46% View
9 5 10 9 +$5.80 10.43% View
10 5 7 5 $-27.19 11.38% View

Simulation Data

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

100
10
312,483
1,000
0
0
4,374,762

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 — Sharkyra Gold

Confidence Low

Sharkyra Gold delivered the strongest overall performance across all 100 simulations, averaging $61.25 with 18 first-place finishes.

It remained among the top three in 43 of 100 runs, showing that its lead was not dependent on only a few exceptional outcomes.

Downside stayed controlled throughout the batch — peak drawdown was 26.20% while profitability led the field.

🛡 Most Consistent — SixtyNine EA

Confidence Low

SixtyNine EA produced the lowest variation in profitability between simulations (spread $426.67, std. dev. $104.74).

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

It rarely finished first (7 wins), trading peak performance for repeatability.

⚖ Best Risk-Adjusted Performance — Sharkyra Gold

Profit-to-Drawdown Ratio 6.4Confidence Moderate

With a profit-to-drawdown ratio of 6.4, Sharkyra Gold 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.

Its strong average return was achieved without proportionally high drawdown, giving it the most attractive risk-adjusted result in the batch.

⚠ Highest Drawdown Variability — XG Gold Robot

Confidence Low

Equity swings were widest here — drawdown ranged from 4.34% to 28.03% across 100 simulations.

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

Favourable paths still produced positive outcomes, but the trade-off was substantially higher drawdown variability.

Simulation Analysis by Expert Advisor

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

Sharkyra Gold

Observed across 100 independent market paths: Sharkyra Gold ranked first overall with 18 simulation wins and the highest average return at $61.25.

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 26.20%, spread 21.46%), though 66 of 100 paths still finished profitable.

Path variation: Results swung sharply between simulations (profit spread $561.38).

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 finished second with 17 wins and an average return of $42.56 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: Large equity declines clustered in prolonged one-directional markets (peak 28.03%, spread 23.69%), though 64 of 100 paths still finished profitable.

Path variation: Results swung sharply between simulations (profit spread $595.41).

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.

GoldZ AI

Observed across 100 independent market paths: GoldZ AI took third place (12 wins, $25.24 average) and stayed competitive in 30 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: Downside risk remained moderate. Maximum drawdown stayed below 20% throughout every simulation.

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.

Quantum Valkyrie

Observed across 100 independent market paths: Quantum Valkyrie landed in the upper half at rank #4, posting 12 wins and $24.61 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 27.83% 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.

BB Return

Observed across 100 independent market paths: BB Return landed in the upper half at rank #5, posting 11 wins and $21.47 average profit.

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 9.59% with peaks near 20.40%, 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.

Cortex Aurex

Observed across 100 independent market paths: Cortex Aurex ranked #6 of 10 — 8 wins, $3.11 average profit, 24 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 22.31%, spread 18.83%), though 51 of 100 paths still finished profitable.

Path variation: Results swung sharply between simulations (profit spread $427.32).

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

SixtyNine EA

Observed across 100 independent market paths: SixtyNine EA ranked #7 of 10 — 7 wins, $30.91 average profit, 29 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: Severe equity declines were avoided in every simulation, with peak drawdown remaining under 20%.

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 #8 of 10 — 5 wins, $22.39 average profit, 29 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 28.36% 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 #9 of 10 — 5 wins, $5.80 average profit, 24 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 10.43% with peaks near 23.22%, 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.

XIRO Robot

Observed across 100 independent market paths: XIRO Robot ranked #10 of 10 — 5 wins, $-27.19 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 25.42%, spread 20.96%), though 43 of 100 paths still finished profitable.

Path variation: Results swung sharply between simulations (profit spread $437.34).

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.