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 | 22 | 12 | 9 | +$55.55 | 8.83% | View | |
| 2 | 18 | 17 | 10 | +$53.77 | 7.82% | View | |
| 3 | 14 | 20 | 16 | +$57.36 | 7.83% | View | |
| 4 | 12 | 12 | 12 | $-1.43 | 9.24% | View | |
| 5 | 11 | 5 | 15 | +$17.31 | 9.03% | View | |
| 6 | 8 | 5 | 7 | $-16.19 | 9.28% | View | |
| 7 | 6 | 6 | 5 | +$1.81 | 9.06% | View | |
| 8 | 3 | 13 | 9 | +$6.49 | 8.84% | View | |
| 9 | 3 | 6 | 7 | $-17.91 | 9.81% | View | |
| 10 | 3 | 4 | 10 | $-20.97 | 9.48% | 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 Vanguard EA
Gold Vanguard EA delivered the strongest overall performance across all 100 simulations, averaging $55.55 with 22 first-place finishes.
It remained among the top three in 43 of 100 runs, showing that its lead was not dependent on only a few exceptional outcomes.
Average drawdown remained contained at 8.83%, supporting a favourable balance between profitability and capital stress.
🛡 Most Consistent — GOLD Scalper PRO
GOLD Scalper PRO produced the lowest variation in profitability between simulations (spread $352.66, std. dev. $77.74).
Rather than relying on a few exceptional runs, it maintained competitive performance across a wide variety of market conditions.
It balanced repeatability with 18 outright wins — competitive without being the most aggressive in the batch.
⚖ Best Risk-Adjusted Performance — TwisterPro Scalper
TwisterPro Scalper achieved the best risk-adjusted performance in this batch — $57.36 average profit against 7.83% 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 (14 wins), but each unit of drawdown produced more profit than competitors.
⚠ Highest Drawdown Variability — The Buster XAU Single Entry
Equity swings were widest here — drawdown ranged from 1.73% to 41.65% across 100 simulations.
Market paths that favoured other strategy types repeatedly punished this design.
Some runs recovered well (best $219.12), yet drawdown dispersion remained the defining characteristic.
Simulation Analysis by Expert Advisor
Observed across 100 independent market paths. Strategy-family context is explanatory, not a forecast.
Gold Vanguard EA
Observed across 100 independent market paths: Gold Vanguard EA ranked first overall with 22 simulation wins and the highest average return at $55.55.
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 20.51% — elevated, yet recovery generally followed in winning simulations.
Path variation: Results swung sharply between simulations (profit spread $485.62).
GOLD Scalper PRO
Observed across 100 independent market paths: GOLD Scalper PRO finished second with 18 wins and an average return of $53.77 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.
TwisterPro Scalper
Observed across 100 independent market paths: TwisterPro Scalper took third place (14 wins, $57.36 average) and stayed competitive in 50 simulations.
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: Average drawdown reached 7.83% with peaks near 21.57%, but recovery completed in most profitable paths.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
Gold Trend EA Pro
Observed across 100 independent market paths: Gold Trend EA Pro landed in the upper half at rank #4, posting 12 wins and $-1.43 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 27.00%, 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 landed in the upper half at rank #5, posting 11 wins and $17.31 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: 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.
Mavrik Scalper
Observed across 100 independent market paths: Mavrik Scalper ranked #6 of 10 — 8 wins, $-16.19 average profit, 20 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 22.61%, 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 #7 of 10 — 6 wins, $1.81 average profit, 17 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: 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.
The Buster XAU Single Entry
Observed across 100 independent market paths: The Buster XAU Single Entry ranked #8 of 10 — 3 wins, $6.49 average profit, 25 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: Large equity declines clustered in prolonged one-directional markets (peak 41.65%, spread 39.92%), though 54 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $366.91).
Luna AI Pro
Observed across 100 independent market paths: Luna AI Pro ranked #9 of 10 — 3 wins, $-17.91 average profit, 16 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 24.56%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
Wave Rider EA
Observed across 100 independent market paths: Wave Rider EA ranked #10 of 10 — 3 wins, $-20.97 average profit, 17 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: Equity swings peaked at 22.03% without reliable recovery across adverse regimes.
Path variation: Performance depended heavily on which market path appeared — strong in some, weak in others.