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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
2026-07-18 → 2026-10-15 (90 days)
Simulations
100 markets
Generated
2026-10-15T05:48:34.000Z

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
1 100 0 0 $-92.98 13.10% View

Simulation Data

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

100
1
31,213
100
0
0
436,982

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 — Sailing Gold

Confidence High

While several EAs posted strong individual runs, Sailing Gold led the batch with 100 outright victories and the highest average profit.

Consistent upper-tier rankings — top three in 100 paths — explain why it outpaced more volatile competitors.

Average drawdown remained contained at 13.10%, supporting a favourable balance between profitability and capital stress.

🛡 Most Consistent — Sailing Gold

Confidence High

Sailing Gold produced the lowest variation in profitability between simulations (spread $382.02, std. dev. $83.38).

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

It balanced repeatability with 100 outright wins — competitive without being the most aggressive in the batch.

⚖ Best Risk-Adjusted Performance — Sailing Gold

Profit-to-Drawdown Ratio -7.1Confidence High

Sailing Gold achieved the best risk-adjusted performance in this batch — $-92.98 average profit against 13.10% 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 — Sailing Gold

Confidence High

Sailing Gold showed the largest variation in drawdown across the batch (24.66% spread, peak 30.67%).

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 $94.20).

Simulation Analysis by Expert Advisor

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

Sailing Gold

Observed across 100 independent market paths: Sailing Gold ranked first overall with 100 simulation wins and the highest average return at $-92.98.

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 30.67%, exposing sensitivity to sustained hostile regimes.

Path variation: Dominated individual runs (100 wins), showing clear strength when conditions aligned.

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.