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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
2026-09-30T08:35:31.000Z

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 19 7 8 +$27.87 9.32% View
2 18 9 11 +$54.91 9.09% View
3 15 13 18 +$40.33 8.83% View
4 12 11 5 +$26.11 9.63% View
5 11 7 7 +$16.84 10.06% View
6 10 15 17 +$36.44 9.42% View
7 6 6 10 $-10.47 10.53% View
8 4 11 6 $-9.65 10.34% View
9 3 10 3 $-34.52 11.79% View
10 2 11 15 +$9.05 9.70% View

Simulation Data

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

100
10
347,176
1,000
0
0
4,860,464

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 — SixtyNine EA

Confidence Low

While several EAs posted strong individual runs, SixtyNine EA led the batch with 19 outright victories and the highest average profit.

Consistent upper-tier rankings — top three in 34 paths — explain why it outpaced more volatile competitors.

Average drawdown remained contained at 9.32%, supporting a favourable balance between profitability and capital stress.

🛡 Most Consistent — Cortex Aurex

Confidence Low

Cortex Aurex showed the most stable profit path across the batch, with smaller swings between individual market scenarios.

It stayed profitable in 53 of 100 scenarios and placed top-three 28 times — steady without needing to dominate every run.

It rarely finished first (2 wins), trading peak performance for repeatability.

⚖ Best Risk-Adjusted Performance — Sharkyra Gold

Profit-to-Drawdown Ratio 6.0Confidence Moderate

With a profit-to-drawdown ratio of 6.0, 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.

It may not have won the most simulations (18 wins), but each unit of drawdown produced more profit than competitors.

⚠ Highest Drawdown Variability — Obsidian Flow Atlas EA

Confidence Low

Obsidian Flow Atlas EA showed the largest variation in drawdown across the batch (27.59% spread, peak 32.58%).

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 $326.14).

Simulation Analysis by Expert Advisor

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

SixtyNine EA

Observed across 100 independent market paths: SixtyNine EA ranked first overall with 19 simulation wins and the highest average return at $27.87.

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 25.20%, 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.

Sharkyra Gold

Observed across 100 independent market paths: Sharkyra Gold finished second with 18 wins and an average return of $54.91 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: Capital preservation remained strong — none of the simulations exceeded a 20% drawdown threshold.

Path variation: Results swung sharply between simulations (profit spread $479.73).

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 (15 wins, $40.33 average) and stayed competitive in 46 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 25.87%, spread 21.51%), though 61 of 100 paths still finished profitable.

Path variation: Results swung sharply between simulations (profit spread $483.38).

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

BB Return

Observed across 100 independent market paths: BB Return landed in the upper half at rank #4, posting 12 wins and $26.11 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: Extended adverse movement drove drawdowns toward 23.89%, 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.

Nexorion Initium Novum EA

Observed across 100 independent market paths: Nexorion Initium Novum EA landed in the upper half at rank #5, posting 11 wins and $16.84 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: Drawdown averaged 10.06% 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.

Quantum Valkyrie

Observed across 100 independent market paths: Quantum Valkyrie ranked #6 of 10 — 10 wins, $36.44 average profit, 42 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 29.30% 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 #7 of 10 — 6 wins, $-10.47 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: Extended adverse movement drove drawdowns toward 32.58%, 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.

XIRO Robot

Observed across 100 independent market paths: XIRO Robot ranked #8 of 10 — 4 wins, $-9.65 average profit, 21 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 23.87%, spread 19.71%), though 48 of 100 paths still finished profitable.

Path variation: Results swung sharply between simulations (profit spread $483.96).

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.

Gold Snap

Observed across 100 independent market paths: Gold Snap ranked #9 of 10 — 3 wins, $-34.52 average profit, 16 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 30.86% 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.

Cortex Aurex

Observed across 100 independent market paths: Cortex Aurex ranked #10 of 10 — 2 wins, $9.05 average profit, 28 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: Temporary equity pressure peaked at 22.38% — elevated, yet recovery generally followed in winning simulations.

Path variation: Results swung sharply between simulations (profit spread $402.39).

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