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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
2026-09-30T08:42:39.000Z

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 13 12 12 +$32.78 7.94% View
2 12 15 8 +$30.17 8.19% View
3 12 10 11 +$11.88 10.10% View
4 11 8 9 +$18.58 8.68% View
5 11 11 10 +$17.46 8.18% View
6 11 8 15 +$13.11 9.73% View
7 11 13 12 +$12.98 10.32% View
8 8 11 11 +$0.82 9.19% View
9 6 9 5 $-29.98 10.02% View
10 5 3 7 $-45.38 11.88% View

Simulation Data

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

100
10
186,901
1,000
0
0
2,616,614

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 — Trend Matrix EA

Confidence Low

Trend Matrix EA separated itself from the field by combining frequent wins with an average return of $32.78.

Strong alignment with trending and volatile phases allowed it to stay near the front across 37 top-three finishes.

Average drawdown remained contained at 7.94%, supporting a favourable balance between profitability and capital stress.

🛡 Most Consistent — Gold Trend EA Pro

Confidence Low

Gold Trend EA Pro produced the lowest variation in profitability between simulations (spread $394.51, std. dev. $96.51).

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 — Trend Matrix EA

Profit-to-Drawdown Ratio 4.1Confidence Low

Profit of $32.78 per unit of average drawdown (7.94%) ranked highest among all tested systems.

Peers with similar profits often accepted higher average drawdowns; this EA did not.

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

⚠ 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 ($217.14) 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.

Trend Matrix EA

Observed across 100 independent market paths: Trend Matrix EA ranked first overall with 13 simulation wins and the highest average return at $32.78.

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 20.28% 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.

Goldrix Trend

Observed across 100 independent market paths: Goldrix Trend finished second with 12 wins and an average return of $30.17 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 21.29%, spread 20.01%), though 53 of 100 paths still finished profitable.

Path variation: Results swung sharply between simulations (profit spread $490.51).

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 (12 wins, $11.88 average) and stayed competitive in 33 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 29.93%, spread 24.26%), though 56 of 100 paths still finished profitable.

Path variation: Results swung sharply between simulations (profit spread $527.70).

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 11 wins and $18.58 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: Severe equity declines were avoided in every simulation, with peak drawdown remaining under 20%.

Path variation: Results swung sharply between simulations (profit spread $485.18).

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 Trend EA Pro

Observed across 100 independent market paths: Gold Trend EA Pro landed in the upper half at rank #5, posting 11 wins and $17.46 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: Downside risk remained moderate. Maximum drawdown stayed below 20% throughout every simulation.

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.

GoldZ AI

Observed across 100 independent market paths: GoldZ AI ranked #6 of 10 — 11 wins, $13.11 average profit, 34 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 26.45%, 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.

Swing Breakout EA

Observed across 100 independent market paths: Swing Breakout EA ranked #7 of 10 — 11 wins, $12.98 average profit, 36 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: Drawdown averaged 10.32% 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.

Boring Gold EA Xauusd Trend RSI Strategy

Observed across 100 independent market paths: Boring Gold EA Xauusd Trend RSI Strategy ranked #8 of 10 — 8 wins, $0.82 average profit, 30 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 24.40% when trends ran without sufficient recovery — a defining risk characteristic of this batch.

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 ForAppropriate as one component within a broader multi-EA approach.

Spider Gold

Observed across 100 independent market paths: Spider Gold ranked #9 of 10 — 6 wins, $-29.98 average profit, 20 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 29.85% 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 — 5 wins, $-45.38 average profit, 15 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 24.80%, spread 19.80%), though 35 of 100 paths still finished profitable.

Path variation: Results swung sharply between simulations (profit spread $487.75).

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.