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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
2026-07-03 → 2026-09-30 (90 days)
Simulations
100 markets
Generated
2026-09-30T08:34:21.000Z

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 14 10 +$26.28 8.15% View
2 17 13 9 +$17.96 11.02% View
3 16 14 20 +$32.10 8.19% View
4 11 17 19 +$25.85 10.47% View
5 11 16 11 +$19.94 9.67% View
6 10 3 5 $-9.16 13.45% View
7 8 12 10 +$8.82 11.13% View
8 6 7 10 +$5.24 10.35% View
9 2 2 2 $-22.09 14.83% View
10 1 2 4 $-21.96 13.95% View

Simulation Data

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

100
10
575,177
1,000
0
0
8,052,478

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 — TwisterPro Scalper

Confidence Low

While several EAs posted strong individual runs, TwisterPro Scalper led the batch with 18 outright victories and the highest average profit.

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

Downside stayed controlled throughout the batch — peak drawdown was 15.02% while profitability led the field.

🛡 Most Consistent — Golden Goose Scalper AI

Confidence Low

Golden Goose Scalper AI showed the most stable profit path across the batch, with smaller swings between individual market scenarios.

It stayed profitable in 88 of 100 scenarios and placed top-three 50 times — steady without needing to dominate every run.

It balanced repeatability with 16 outright wins — competitive without being the most aggressive in the batch.

⚖ Best Risk-Adjusted Performance — Golden Goose Scalper AI

Profit-to-Drawdown Ratio 3.9Confidence Low

With a profit-to-drawdown ratio of 3.9, Golden Goose Scalper AI 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 (16 wins), but each unit of drawdown produced more profit than competitors.

⚠ Highest Drawdown Variability — Spider Gold

Confidence Moderate

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

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

Even its best run ($53.47) 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.

TwisterPro Scalper

Observed across 100 independent market paths: TwisterPro Scalper ranked first overall with 18 simulation wins and the highest average return at $26.28.

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.

Byrdi

Observed across 100 independent market paths: Byrdi finished second with 17 wins and an average return of $17.96 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 34.53%, 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.

Golden Goose Scalper AI

Observed across 100 independent market paths: Golden Goose Scalper AI took third place (16 wins, $32.10 average) and stayed competitive in 50 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 28.25%, spread 24.28%), though 88 of 100 paths still finished profitable.

Path variation: Results swung sharply between simulations (profit spread $176.12).

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

GOLD Scalper PRO

Observed across 100 independent market paths: GOLD Scalper PRO landed in the upper half at rank #4, posting 11 wins and $25.85 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 30.45%, 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.

TNG Gold

Observed across 100 independent market paths: TNG Gold landed in the upper half at rank #5, posting 11 wins and $19.94 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 24.16% 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.

GoldSpire

Observed across 100 independent market paths: GoldSpire ranked #6 of 10 — 10 wins, $-9.16 average profit, 18 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 43.78% 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.

Ultimate Breakout System

Observed across 100 independent market paths: Ultimate Breakout System ranked #7 of 10 — 8 wins, $8.82 average profit, 30 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 34.14%, spread 27.26%), though 49 of 100 paths still finished profitable.

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 ForSuitable for diversified portfolios rather than standalone deployment.

SuperScalp Gold

Observed across 100 independent market paths: SuperScalp Gold ranked #8 of 10 — 6 wins, $5.24 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 38.37% 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.

Gold Snap

Observed across 100 independent market paths: Gold Snap ranked #9 of 10 — 2 wins, $-22.09 average profit, 6 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 43.96% 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 — 1 wins, $-21.96 average profit, 7 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 53.09% 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.