FX EA Tester Report
Consistency across 100 independent AI market scenarios — averaged performance, market gallery, and per-EA breakdown
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
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 | 15 | 10 | 11 | +$6.99 | 6.39% | View | |
| 2 | 13 | 17 | 13 | +$31.13 | 5.30% | View | |
| 3 | 13 | 15 | 13 | +$17.93 | 7.09% | View | |
| 4 | 12 | 10 | 13 | +$3.40 | 7.10% | View | |
| 5 | 11 | 7 | 3 | $-23.02 | 7.63% | View | |
| 6 | 10 | 8 | 8 | $-5.39 | 7.39% | View | |
| 7 | 10 | 6 | 11 | $-6.22 | 7.25% | View | |
| 8 | 8 | 8 | 11 | $-23.30 | 8.19% | View | |
| 9 | 5 | 10 | 6 | $-21.83 | 8.12% | View | |
| 10 | 3 | 9 | 11 | $-29.32 | 9.81% | View |
Simulation Data
Scale of computation behind this 100-simulation batch — every trade, bar, and ranking across all market paths.
Simulation Highlights
The strongest, most repeatable, best risk-adjusted, and highest-variability results across 100 independent market scenarios.
🏆 Overall Winner — GOLD Scalper PRO
While several EAs posted strong individual runs, GOLD Scalper PRO led the batch with 15 outright victories and the highest average profit.
Consistent upper-tier rankings — top three in 36 paths — explain why it outpaced more volatile competitors.
Downside stayed controlled throughout the batch — peak drawdown was 28.31% while profitability led the field.
🛡 Most Consistent — TwisterPro Scalper
TwisterPro Scalper produced the lowest variation in profitability between simulations (spread $428.45, std. dev. $104.72).
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 — TwisterPro Scalper
TwisterPro Scalper achieved the best risk-adjusted performance in this batch — $31.13 average profit against 5.30% 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 (13 wins), but each unit of drawdown produced more profit than competitors.
⚠ Highest Drawdown Variability — TNG Gold
No other EA matched the drawdown dispersion of TNG Gold, making it the most path-dependent in this test.
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.
GOLD Scalper PRO
Observed across 100 independent market paths: GOLD Scalper PRO ranked first overall with 15 simulation wins and the highest average return at $6.99.
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 28.31%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
TwisterPro Scalper
Observed across 100 independent market paths: TwisterPro Scalper finished second with 13 wins and an average return of $31.13 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 26.04%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
TNG Gold
Observed across 100 independent market paths: TNG Gold took third place (13 wins, $17.93 average) and stayed competitive in 41 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 48.53% 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.
Gold Vanguard EA
Observed across 100 independent market paths: Gold Vanguard EA landed in the upper half at rank #4, posting 12 wins and $3.40 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 32.31%, spread 32.19%), though 55 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $493.30).
Mavrik Scalper
Observed across 100 independent market paths: Mavrik Scalper landed in the upper half at rank #5, posting 11 wins and $-23.02 average profit.
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 27.06%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
SuperScalp Gold
Observed across 100 independent market paths: SuperScalp Gold ranked #6 of 10 — 10 wins, $-5.39 average profit, 26 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 43.58% 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.
The Buster XAU Single Entry
Observed across 100 independent market paths: The Buster XAU Single Entry ranked #7 of 10 — 10 wins, $-6.22 average profit, 27 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 36.19%, spread 35.10%), though 51 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $525.14).
Wave Rider EA
Observed across 100 independent market paths: Wave Rider EA ranked #8 of 10 — 8 wins, $-23.30 average profit, 27 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 34.71% 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.
Luna AI Pro
Observed across 100 independent market paths: Luna AI Pro ranked #9 of 10 — 5 wins, $-21.83 average profit, 21 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 27.43%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
CRT Model 1
Observed across 100 independent market paths: CRT Model 1 ranked #10 of 10 — 3 wins, $-29.32 average profit, 23 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 40.57%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.