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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
2026-09-30T08:24:20.000Z

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 18 5 +$57.22 10.07% View
2 17 11 11 +$47.36 9.51% View
3 12 5 7 $-15.32 11.86% View
4 11 16 12 +$45.70 9.21% View
5 11 11 12 +$19.02 10.22% View
6 10 11 12 +$10.15 11.02% View
7 7 5 16 +$15.38 9.53% View
8 7 9 7 +$1.05 9.19% View
9 3 7 11 $-38.28 12.68% View
10 3 7 7 $-53.72 12.88% View

Simulation Data

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

100
10
563,642
1,000
0
0
7,890,988

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 — GoldStorm Pro EA

Confidence Low

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

Consistent upper-tier rankings — top three in 42 paths — explain why it outpaced more volatile competitors.

Average drawdown remained contained at 10.07%, supporting a favourable balance between profitability and capital stress.

🛡 Most Consistent — Smart Gold Hunter

Confidence Low

Smart Gold Hunter produced the lowest variation in profitability between simulations (spread $430.99, std. dev. $118.16).

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

This consistency came at the cost of fewer outright wins than more aggressive competitors.

⚖ Best Risk-Adjusted Performance — GoldStorm Pro EA

Profit-to-Drawdown Ratio 5.7Confidence Low

GoldStorm Pro EA achieved the best risk-adjusted performance in this batch — $57.22 average profit against 10.07% average drawdown.

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

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

⚠ Highest Drawdown Variability — LNT Gold X100

Confidence Moderate

Equity swings were widest here — drawdown ranged from 1.72% to 37.57% 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.

GoldStorm Pro EA

Observed across 100 independent market paths: GoldStorm Pro EA ranked first overall with 19 simulation wins and the highest average return at $57.22.

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 31.02%, 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.

Vex Gold EA

Observed across 100 independent market paths: Vex Gold EA finished second with 17 wins and an average return of $47.36 across 100 paths.

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 28.08% 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.

Impulse

Observed across 100 independent market paths: Impulse took third place (12 wins, $-15.32 average) and stayed competitive in 24 simulations.

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 29.78%, 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.

Lizard

Observed across 100 independent market paths: Lizard landed in the upper half at rank #4, posting 11 wins and $45.70 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 28.66%, 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.

Gold House

Observed across 100 independent market paths: Gold House landed in the upper half at rank #5, posting 11 wins and $19.02 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 28.23%, spread 23.48%), though 56 of 100 paths still finished profitable.

Path variation: Results swung sharply between simulations (profit spread $598.14).

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

GoldSpire

Observed across 100 independent market paths: GoldSpire ranked #6 of 10 — 10 wins, $10.15 average profit, 33 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 32.38% 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.

Smart Gold Hunter

Observed across 100 independent market paths: Smart Gold Hunter ranked #7 of 10 — 7 wins, $15.38 average profit, 28 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 20.23%, 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.

Boring Gold EA Xauusd Trend RSI Strategy

Observed across 100 independent market paths: Boring Gold EA Xauusd Trend RSI Strategy ranked #8 of 10 — 7 wins, $1.05 average profit, 23 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 26.48% 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.

LNT Gold X100

Observed across 100 independent market paths: LNT Gold X100 ranked #9 of 10 — 3 wins, $-38.28 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 37.57%, spread 35.85%), though 39 of 100 paths still finished profitable.

Path variation: Results swung sharply between simulations (profit spread $664.13).

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.

XAU Marti H1Trend

Observed across 100 independent market paths: XAU Marti H1Trend ranked #10 of 10 — 3 wins, $-53.72 average profit, 17 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 31.13% 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.