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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
2026-09-30T10:35:22.000Z

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 29 9 10 +$67.53 9.59% View
2 21 20 13 +$93.78 7.27% View
3 17 11 14 +$57.80 8.37% View
4 11 14 5 +$39.56 8.74% View
5 6 9 11 +$5.19 8.69% View
6 5 14 10 +$35.43 8.82% View
7 5 5 13 +$14.60 9.95% View
8 3 13 16 +$33.38 8.54% View
9 2 3 5 $-34.48 11.10% View
10 1 2 3 $-70.39 12.22% View

Simulation Data

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

100
10
462,241
1,000
0
0
6,471,374

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 Moderate

While several EAs posted strong individual runs, Scalping Robot Pro led the batch with 29 outright victories and the highest average profit.

Consistent upper-tier rankings — top three in 48 paths — explain why it outpaced more volatile competitors.

Average drawdown remained contained at 9.59%, supporting a favourable balance between profitability and capital stress.

🛡 Most Consistent — TwisterPro Scalper

Confidence Low

TwisterPro Scalper produced the lowest variation in profitability between simulations (spread $407.52, std. dev. $85.64).

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

It balanced repeatability with 21 outright wins — competitive without being the most aggressive in the batch.

⚖ Best Risk-Adjusted Performance — TwisterPro Scalper

Profit-to-Drawdown Ratio 12.9Confidence High

TwisterPro Scalper achieved the best risk-adjusted performance in this batch — $93.78 average profit against 7.27% 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 (21 wins), but each unit of drawdown produced more profit than competitors.

⚠ Highest Drawdown Variability — Mavrik Scalper

Confidence Low

Mavrik Scalper showed the largest variation in drawdown across the batch (28.12% spread, peak 33.46%).

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.

Scalping Robot Pro

Observed across 100 independent market paths: Scalping Robot Pro ranked first overall with 29 simulation wins and the highest average return at $67.53.

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 29.53%, 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.

TwisterPro Scalper

Observed across 100 independent market paths: TwisterPro Scalper finished second with 21 wins and an average return of $93.78 across 100 paths.

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.

Prisma

Observed across 100 independent market paths: Prisma took third place (17 wins, $57.80 average) and stayed competitive in 42 simulations.

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 21.81% 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 EnvironmentExtreme trends · High volatility · Low liquidity phases
Suitable ForAppropriate as one component within a broader multi-EA approach.

EA Gold Stuff

Observed across 100 independent market paths: EA Gold Stuff landed in the upper half at rank #4, posting 11 wins and $39.56 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 26.39%, spread 22.54%), though 63 of 100 paths still finished profitable.

Path variation: Results swung sharply between simulations (profit spread $492.87).

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

Mosquito

Observed across 100 independent market paths: Mosquito landed in the upper half at rank #5, posting 6 wins and $5.19 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: Peak drawdown hit 25.41% 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.

TNG Gold

Observed across 100 independent market paths: TNG Gold ranked #6 of 10 — 5 wins, $35.43 average profit, 29 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: Capital preservation remained strong — none of the simulations exceeded a 20% drawdown threshold.

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.

Ultimate Breakout System

Observed across 100 independent market paths: Ultimate Breakout System ranked #7 of 10 — 5 wins, $14.60 average profit, 23 top-three finishes.

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: Temporary equity pressure peaked at 20.62% — elevated, yet recovery generally followed in winning simulations.

Path variation: Results swung sharply between simulations (profit spread $527.01).

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

The Buster XAU Single Entry

Observed across 100 independent market paths: The Buster XAU Single Entry ranked #8 of 10 — 3 wins, $33.38 average profit, 32 top-three finishes.

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: Temporary equity pressure peaked at 22.99% — elevated, yet recovery generally followed in winning simulations.

Path variation: Only 3 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.

Mavrik Scalper

Observed across 100 independent market paths: Mavrik Scalper ranked #9 of 10 — 2 wins, $-34.48 average profit, 10 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 33.46%, 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 — 1 wins, $-70.39 average profit, 6 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 31.57% 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.