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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
2026-09-30T08:42:19.000Z

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 25 11 16 +$54.81 8.01% View
2 23 13 10 +$56.61 9.05% View
3 15 16 14 +$61.84 7.45% View
4 11 16 10 +$46.54 8.11% View
5 10 15 7 +$28.59 8.97% View
6 6 8 7 +$3.76 8.97% View
7 5 6 6 +$3.35 8.51% View
8 5 5 10 +$1.15 9.00% View
9 0 7 12 $-7.06 9.38% View
10 0 3 8 $-12.27 8.73% View

Simulation Data

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

100
10
473,444
1,000
0
0
6,628,216

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 — EA Gold Stuff

Confidence Low

EA Gold Stuff delivered the strongest overall performance across all 100 simulations, averaging $54.81 with 25 first-place finishes.

It remained among the top three in 52 of 100 runs, showing that its lead was not dependent on only a few exceptional outcomes.

Average drawdown remained contained at 8.01%, supporting a favourable balance between profitability and capital stress.

🛡 Most Consistent — Wave Rider EA

Confidence Low

Profit outcomes clustered more tightly for Wave Rider 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.

It rarely finished first (0 wins), trading peak performance for repeatability.

⚖ Best Risk-Adjusted Performance — TwisterPro Scalper

Profit-to-Drawdown Ratio 8.3Confidence Low

TwisterPro Scalper achieved the best risk-adjusted performance in this batch — $61.84 average profit against 7.45% average drawdown.

It generated meaningful upside without proportionally large equity swings — efficient capital use across 100 independent paths.

It may not have won the most simulations (15 wins), but each unit of drawdown produced more profit than competitors.

⚠ Highest Drawdown Variability — Luna AI Pro

Confidence Moderate

Luna AI Pro showed the largest variation in drawdown across the batch (23.65% spread, peak 26.74%).

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.

EA Gold Stuff

Observed across 100 independent market paths: EA Gold Stuff ranked first overall with 25 simulation wins and the highest average return at $54.81.

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 22.45%, spread 19.05%), though 67 of 100 paths still finished profitable.

Path variation: Results swung sharply between simulations (profit spread $532.82).

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.

Gold Vanguard EA

Observed across 100 independent market paths: Gold Vanguard EA finished second with 23 wins and an average return of $56.61 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: Downside risk stayed controlled across all simulated market paths.

Path variation: Results swung sharply between simulations (profit spread $421.41).

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.

TwisterPro Scalper

Observed across 100 independent market paths: TwisterPro Scalper took third place (15 wins, $61.84 average) and stayed competitive in 45 simulations.

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.

GOLD Scalper PRO

Observed across 100 independent market paths: GOLD Scalper PRO landed in the upper half at rank #4, posting 11 wins and $46.54 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 $28.59 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 8.97% 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.

The Buster XAU Single Entry

Observed across 100 independent market paths: The Buster XAU Single Entry ranked #6 of 10 — 6 wins, $3.76 average profit, 21 top-three finishes.

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

Observed risk across the sample: Capital preservation remained strong — none of the simulations exceeded a 20% drawdown threshold.

Path variation: Results swung sharply between simulations (profit spread $333.47).

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.

Mavrik Scalper

Observed across 100 independent market paths: Mavrik Scalper ranked #7 of 10 — 5 wins, $3.35 average profit, 17 top-three finishes.

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 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 ForBest for risk-aware users who prefer steadier equity curves.

SuperScalp Gold

Observed across 100 independent market paths: SuperScalp Gold ranked #8 of 10 — 5 wins, $1.15 average profit, 20 top-three finishes.

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

Observed risk across the sample: Severe equity declines were avoided in every simulation, with peak drawdown remaining under 20%.

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 reasonable choice when drawdown control matters more than peak returns.

Luna AI Pro

Observed across 100 independent market paths: Luna AI Pro ranked #9 of 10 — 0 wins, $-7.06 average profit, 19 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 26.74%, 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.

Wave Rider EA

Observed across 100 independent market paths: Wave Rider EA ranked #10 of 10 — 0 wins, $-12.27 average profit, 11 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: Downside risk stayed controlled across all simulated market paths.

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 ForConsider only with strict risk limits if used at all.