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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
$300.00
Lot size
0.01
Period
2026-07-04 → 2026-10-01 (90 days)
Simulations
100 markets
Generated
2026-10-01T06:57:34.000Z

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 14 9 +$34.92 8.72% View
2 19 5 9 +$23.40 10.26% View
3 16 13 6 +$18.91 10.80% View
4 11 15 13 +$29.15 8.12% View
5 10 9 15 +$24.09 9.08% View
6 9 9 9 +$16.36 9.10% View
7 8 16 18 +$27.57 9.65% View
8 5 8 15 +$13.44 11.06% View
9 1 10 3 $-1.69 11.15% View
10 0 1 3 $-13.21 11.51% View

Simulation Data

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

100
10
622,015
1,000
0
0
8,708,210

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 — Dark Gold

Confidence Moderate

Dark Gold delivered the strongest overall performance across all 100 simulations, averaging $34.92 with 21 first-place finishes.

It remained among the top three in 44 of 100 runs, showing that its lead was not dependent on only a few exceptional outcomes.

Average drawdown remained contained at 8.72%, supporting a favourable balance between profitability and capital stress.

🛡 Most Consistent — GOLD Scalper PRO

Confidence Low

GOLD Scalper PRO produced the lowest variation in profitability between simulations (spread $121.91, std. dev. $26.81).

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 — Dark Gold

Profit-to-Drawdown Ratio 4.0Confidence Low

With a profit-to-drawdown ratio of 4.0, Dark 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 combined the batch's highest average profit with comparatively low average drawdown, producing the strongest profit-to-drawdown trade-off.

⚠ Highest Drawdown Variability — SuperScalp Gold

Confidence Moderate

No other EA matched the drawdown dispersion of SuperScalp Gold, making it the most path-dependent in this test.

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.

Dark Gold

Observed across 100 independent market paths: Dark Gold ranked first overall with 21 simulation wins and the highest average return at $34.92.

Strategy-family context: Responded to the market conditions present during this simulation with comparatively controlled drawdowns across diverse regimes.

Observed risk across the sample: Downside risk stayed controlled across all simulated market paths.

Path variation: Competitive in several regimes without dominating every scenario.

Best EnvironmentBalanced conditions · Moderate volatility · Mixed regimes
Weakest EnvironmentExtreme trends · High volatility · Low liquidity phases
Suitable ForSuitable for conservative traders prioritizing capital preservation over maximum profit.

Byrdi

Observed across 100 independent market paths: Byrdi finished second with 19 wins and an average return of $23.40 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 28.31%, 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.

GoldSpire

Observed across 100 independent market paths: GoldSpire took third place (16 wins, $18.91 average) and stayed competitive in 35 simulations.

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 39.68% 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.

TwisterPro Scalper

Observed across 100 independent market paths: TwisterPro Scalper landed in the upper half at rank #4, posting 11 wins and $29.15 average profit.

Strategy-family context: Responded to the market conditions present during this simulation with comparatively controlled drawdowns across diverse regimes.

Observed risk across the sample: Downside risk stayed controlled across all simulated market 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 ForBest for risk-aware users who prefer steadier equity curves.

TNG Gold

Observed across 100 independent market paths: TNG Gold landed in the upper half at rank #5, posting 10 wins and $24.09 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 9.08% 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.

Smart Gold Hunter

Observed across 100 independent market paths: Smart Gold Hunter ranked #6 of 10 — 9 wins, $16.36 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: Extended adverse movement drove drawdowns toward 21.81%, 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 Scalper PRO

Observed across 100 independent market paths: GOLD Scalper PRO ranked #7 of 10 — 8 wins, $27.57 average profit, 42 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 9.65% with peaks near 21.80%, but recovery completed in most profitable paths.

Path variation: Only 8 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.

Ultimate Breakout System

Observed across 100 independent market paths: Ultimate Breakout System ranked #8 of 10 — 5 wins, $13.44 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: Large equity declines clustered in prolonged one-directional markets (peak 33.52%, spread 27.68%), though 61 of 100 paths still finished profitable.

Path variation: Results swung sharply between simulations (profit spread $186.41).

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

SuperScalp Gold

Observed across 100 independent market paths: SuperScalp Gold ranked #9 of 10 — 1 wins, $-1.69 average profit, 14 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 50.48% 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 EnvironmentProlonged adverse trends · Extreme trends · High volatility
Suitable ForConsider only with strict risk limits if used at all.

Spider Gold

Observed across 100 independent market paths: Spider Gold ranked #10 of 10 — 0 wins, $-13.21 average profit, 4 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 34.24% 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.