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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
2026-09-30T10:33:13.000Z

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 31 8 6 +$55.92 10.28% View
2 15 8 11 +$31.17 8.03% View
3 10 9 10 +$4.40 10.68% View
4 9 15 9 +$15.23 9.21% View
5 9 9 14 $-6.13 11.05% View
6 8 7 13 +$23.36 9.63% View
7 8 11 7 $-16.86 9.61% View
8 5 13 10 +$3.64 8.65% View
9 3 12 11 $-8.46 9.30% View
10 2 8 9 $-24.94 11.11% View

Simulation Data

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

100
10
324,745
1,000
0
0
4,546,430

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 — Scalping Robot Pro

Confidence High

While several EAs posted strong individual runs, Scalping Robot Pro led the batch with 31 outright victories and the highest average profit.

Consistent upper-tier rankings — top three in 45 paths — explain why it outpaced more volatile competitors.

Average drawdown remained contained at 10.28%, supporting a favourable balance between profitability and capital stress.

🛡 Most Consistent — Swing Breakout EA

Confidence Low

Profit outcomes clustered more tightly for Swing Breakout EA than for any other EA in this test.

Consistent mid-to-upper rankings reflected an ability to adapt when regimes shifted, not just excel in one market type.

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

⚖ Best Risk-Adjusted Performance — Scalping Robot Pro

Profit-to-Drawdown Ratio 5.4Confidence Moderate

Scalping Robot Pro achieved the best risk-adjusted performance in this batch — $55.92 average profit against 10.28% 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 — Scalping Robot Pro

Confidence Low

Scalping Robot Pro showed the largest variation in drawdown across the batch (27.86% spread, peak 32.76%).

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 $402.38).

Simulation Analysis by Expert Advisor

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

Scalping Robot Pro

Observed across 100 independent market paths: Scalping Robot Pro ranked first overall with 31 simulation wins and the highest average return at $55.92.

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 32.76%, 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.

Goldrix Trend

Observed across 100 independent market paths: Goldrix Trend finished second with 15 wins and an average return of $31.17 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: Large equity declines clustered in prolonged one-directional markets (peak 25.54%, spread 25.42%), though 65 of 100 paths still finished profitable.

Path variation: Results swung sharply between simulations (profit spread $513.22).

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.

The Golden Staircase

Observed across 100 independent market paths: The Golden Staircase took third place (10 wins, $4.40 average) and stayed competitive in 29 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 28.22%, spread 21.99%), though 52 of 100 paths still finished profitable.

Path variation: Results swung sharply between simulations (profit spread $517.07).

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

EA Gold Stuff

Observed across 100 independent market paths: EA Gold Stuff landed in the upper half at rank #4, posting 9 wins and $15.23 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 25.72%, spread 21.44%), though 54 of 100 paths still finished profitable.

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 ForSuitable for diversified portfolios rather than standalone deployment.

Ultimate Breakout System

Observed across 100 independent market paths: Ultimate Breakout System landed in the upper half at rank #5, posting 9 wins and $-6.13 average profit.

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 25.30%, spread 19.48%), though 50 of 100 paths still finished profitable.

Path variation: Only 9 outright wins, but frequently stayed within reach of the leaders.

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.

Swing Breakout EA

Observed across 100 independent market paths: Swing Breakout EA ranked #6 of 10 — 8 wins, $23.36 average profit, 28 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 26.33% 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 Trend EA Pro

Observed across 100 independent market paths: Gold Trend EA Pro ranked #7 of 10 — 8 wins, $-16.86 average profit, 26 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 26.65%, 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.

Spider Gold

Observed across 100 independent market paths: Spider Gold ranked #8 of 10 — 5 wins, $3.64 average profit, 28 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 26.92% 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.

Boring Gold EA Xauusd Trend RSI Strategy

Observed across 100 independent market paths: Boring Gold EA Xauusd Trend RSI Strategy ranked #9 of 10 — 3 wins, $-8.46 average profit, 26 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 22.81% 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.

Gold Sniper Ravex Algo

Observed across 100 independent market paths: Gold Sniper Ravex Algo ranked #10 of 10 — 2 wins, $-24.94 average profit, 19 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 28.51%, spread 22.87%), though 45 of 100 paths still finished profitable.

Path variation: Results swung sharply between simulations (profit spread $423.31).

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.