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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
2026-08-12 → 2026-09-10 (30 days)
Simulations
100 markets
Generated
2026-09-10T10:04:36.000Z

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 3 2 +$13.64 6.64% View
2 23 10 6 +$4.70 7.36% View
3 13 10 8 $-7.69 7.52% View
4 8 12 14 $-2.52 7.51% View
5 7 11 8 $-24.64 8.18% View
6 6 6 11 $-8.33 5.41% View
7 5 10 12 $-6.06 8.54% View
8 5 9 16 $-29.98 10.28% View
9 5 11 12 $-41.43 10.43% View
10 3 18 11 $-14.95 9.10% View

Simulation Data

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

100
10
136,487
1,000
0
0
1,910,818

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 — TNG Gold

Confidence Moderate

TNG Gold separated itself from the field by combining frequent wins with an average return of $13.64.

Strong alignment with trending and volatile phases allowed it to stay near the front across 30 top-three finishes.

Downside stayed controlled throughout the batch — peak drawdown was 27.36% while profitability led the field.

🛡 Most Consistent — TNG Gold

Confidence Low

Profit outcomes clustered more tightly for TNG Gold 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 balanced repeatability with 25 outright wins — competitive without being the most aggressive in the batch.

Best Risk-Adjusted Performance — TNG Gold

Profit-to-Drawdown Ratio 2.1Confidence High

Profit of $13.64 per unit of average drawdown (6.64%) ranked highest among all tested systems.

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

Its strong average return was achieved without proportionally high drawdown, giving it the most attractive risk-adjusted result in the batch.

Highest Drawdown Variability — CRT Model 1

Confidence High

CRT Model 1 showed the largest variation in drawdown across the batch (76.57% spread, peak 76.57%).

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.

TNG Gold

Observed across 100 independent market paths: TNG Gold ranked first overall with 25 simulation wins and the highest average return at $13.64.

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 27.36% 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.

Mavrik Scalper

Observed across 100 independent market paths: Mavrik Scalper finished second with 23 wins and an average return of $4.70 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 37.60%, 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.

The Buster XAU Single Entry

Observed across 100 independent market paths: The Buster XAU Single Entry took third place (13 wins, $-7.69 average) and stayed competitive in 31 simulations.

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 29.74%, spread 29.27%), though 51 of 100 paths still finished profitable.

Path variation: Results swung sharply between simulations (profit spread $455.42).

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.

Prisma

Observed across 100 independent market paths: Prisma landed in the upper half at rank #4, posting 8 wins and $-2.52 average profit.

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 41.74% 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 EnvironmentProlonged adverse trends · Extreme trends · High volatility
Suitable ForConsider only with strict risk limits if used at all.

Wave Rider EA

Observed across 100 independent market paths: Wave Rider EA landed in the upper half at rank #5, posting 7 wins and $-24.64 average profit.

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 30.38% 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.

Mosquito

Observed across 100 independent market paths: Mosquito ranked #6 of 10 — 6 wins, $-8.33 average profit, 23 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 45.34% 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 Zilla AI

Observed across 100 independent market paths: Gold Zilla AI ranked #7 of 10 — 5 wins, $-6.06 average profit, 27 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 57.93%, 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.

CRT Model 1

Observed across 100 independent market paths: CRT Model 1 ranked #8 of 10 — 5 wins, $-29.98 average profit, 30 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 76.57%, exposing sensitivity to sustained hostile regimes.

Path variation: Only 5 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 ForBest evaluated alongside stronger performers rather than as a standalone choice.

Prime Execution AI EA

Observed across 100 independent market paths: Prime Execution AI EA ranked #9 of 10 — 5 wins, $-41.43 average profit, 28 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 45.63%, spread 44.14%), though 45 of 100 paths still finished profitable.

Path variation: Results swung sharply between simulations (profit spread $553.58).

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.

Helios Gold AI

Observed across 100 independent market paths: Helios Gold AI ranked #10 of 10 — 3 wins, $-14.95 average profit, 32 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 47.66%, exposing sensitivity to sustained hostile regimes.

Path variation: Only 3 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 ForBest evaluated alongside stronger performers rather than as a standalone choice.