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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
2026-09-30T08:40:19.000Z

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 20 10 13 +$58.97 8.89% View
2 16 18 13 +$52.14 9.98% View
3 15 14 10 +$35.36 9.28% View
4 15 14 8 +$29.21 10.07% View
5 10 8 7 +$4.47 8.92% View
6 9 9 18 +$7.41 9.62% View
7 5 6 12 $-23.52 10.47% View
8 4 8 9 $-28.52 11.27% View
9 4 6 6 $-29.93 10.62% View
10 2 7 4 $-34.16 10.58% View

Simulation Data

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

100
10
493,050
1,000
0
0
6,902,700

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 — Neurox AI

Confidence Low

While several EAs posted strong individual runs, Neurox AI led the batch with 20 outright victories and the highest average profit.

Consistent upper-tier rankings — top three in 43 paths — explain why it outpaced more volatile competitors.

Downside stayed controlled throughout the batch — peak drawdown was 20.16% while profitability led the field.

🛡 Most Consistent — Prime Execution AI EA

Confidence Low

Prime Execution AI EA showed the most stable profit path across the batch, with smaller swings between individual market scenarios.

It stayed profitable in 46 of 100 scenarios and placed top-three 23 times — steady without needing to dominate every run.

It rarely finished first (5 wins), trading peak performance for repeatability.

⚖ Best Risk-Adjusted Performance — Neurox AI

Profit-to-Drawdown Ratio 6.6Confidence Moderate

Neurox AI achieved the best risk-adjusted performance in this batch — $58.97 average profit against 8.89% average drawdown.

It generated meaningful upside without proportionally large equity swings — efficient capital use across 100 independent paths.

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

⚠ Highest Drawdown Variability — AI Prop Firms

Confidence Low

Equity swings were widest here — drawdown ranged from 0.41% to 25.34% across 100 simulations.

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

Even its best run ($184.02) 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.

Neurox AI

Observed across 100 independent market paths: Neurox AI ranked first overall with 20 simulation wins and the highest average return at $58.97.

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 8.89% with peaks near 20.16%, 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 ForWell suited to active monitoring during trending or volatile phases.

Aurum AI

Observed across 100 independent market paths: Aurum AI finished second with 16 wins and an average return of $52.14 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 28.29%, 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.

Gold Zilla AI

Observed across 100 independent market paths: Gold Zilla AI took third place (15 wins, $35.36 average) and stayed competitive in 39 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 25.29%, 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.

One Gold

Observed across 100 independent market paths: One Gold landed in the upper half at rank #4, posting 15 wins and $29.21 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 24.77% 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.

EA Gold Stuff

Observed across 100 independent market paths: EA Gold Stuff landed in the upper half at rank #5, posting 10 wins and $4.47 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: Temporary equity pressure peaked at 20.37% — elevated, yet recovery generally followed in winning simulations.

Path variation: Results swung sharply between simulations (profit spread $411.40).

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

Helios Gold AI

Observed across 100 independent market paths: Helios Gold AI ranked #6 of 10 — 9 wins, $7.41 average profit, 36 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: Extended adverse movement drove drawdowns toward 27.34%, 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 EnvironmentExtreme trends · High volatility · Low liquidity phases
Suitable ForWorks best when paired with strategies covering different market regimes.

Prime Execution AI EA

Observed across 100 independent market paths: Prime Execution AI EA ranked #7 of 10 — 5 wins, $-23.52 average profit, 23 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 25.03%, spread 19.11%), though 46 of 100 paths still finished profitable.

Path variation: Results swung sharply between simulations (profit spread $418.16).

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.

Straddle AI

Observed across 100 independent market paths: Straddle AI ranked #8 of 10 — 4 wins, $-28.52 average profit, 21 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 26.47% 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.

AI Prop Firms

Observed across 100 independent market paths: AI Prop Firms ranked #9 of 10 — 4 wins, $-29.93 average profit, 16 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 25.34%, spread 24.93%), though 35 of 100 paths still finished profitable.

Path variation: Results swung sharply between simulations (profit spread $414.48).

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.

AI Gold Prime

Observed across 100 independent market paths: AI Gold Prime ranked #10 of 10 — 2 wins, $-34.16 average profit, 13 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: Peak drawdown of 22.14% coincided with weak recovery — risk outweighed reward in many paths.

Path variation: Results swung sharply between simulations (profit spread $418.02).

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.