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 | 20 | 5 | 6 | +$21.43 | 7.38% | View | |
| 2 | 16 | 12 | 7 | +$24.76 | 6.37% | View | |
| 3 | 14 | 13 | 10 | +$7.62 | 7.14% | View | |
| 4 | 13 | 8 | 12 | +$9.87 | 7.79% | View | |
| 5 | 12 | 11 | 10 | +$5.58 | 6.56% | View | |
| 6 | 9 | 17 | 10 | +$16.44 | 7.62% | View | |
| 7 | 6 | 4 | 11 | $-25.98 | 7.99% | View | |
| 8 | 5 | 3 | 13 | $-24.67 | 8.78% | View | |
| 9 | 4 | 14 | 7 | $-2.53 | 7.47% | View | |
| 10 | 1 | 13 | 14 | $-19.20 | 8.69% | 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 — Adaptive Gold Scalper
Adaptive Gold Scalper separated itself from the field by combining frequent wins with an average return of $21.43.
Strong alignment with trending and volatile phases allowed it to stay near the front across 31 top-three finishes.
Downside stayed controlled throughout the batch — peak drawdown was 32.57% while profitability led the field.
🛡 Most Consistent — GOLD Scalper PRO
GOLD Scalper PRO produced the lowest variation in profitability between simulations (spread $383.49, std. dev. $118.43).
Rather than relying on a few exceptional runs, it maintained competitive performance across a wide variety of market conditions.
It balanced repeatability with 16 outright wins — competitive without being the most aggressive in the batch.
⚖ Best Risk-Adjusted Performance — GOLD Scalper PRO
GOLD Scalper PRO achieved the best risk-adjusted performance in this batch — $24.76 average profit against 6.37% 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 (16 wins), but each unit of drawdown produced more profit than competitors.
⚠ Highest Drawdown Variability — Wave Rider EA
No other EA matched the drawdown dispersion of Wave Rider EA, making it the most path-dependent in this test.
Market paths that favoured other strategy types repeatedly punished this design.
Some runs recovered well (best $164.59), 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.
Adaptive Gold Scalper
Observed across 100 independent market paths: Adaptive Gold Scalper ranked first overall with 20 simulation wins and the highest average return at $21.43.
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 32.57% 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.
GOLD Scalper PRO
Observed across 100 independent market paths: GOLD Scalper PRO finished second with 16 wins and an average return of $24.76 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 24.21%, 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 took third place (14 wins, $7.62 average) and stayed competitive in 37 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 27.01% 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 13 wins and $9.87 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 28.63%, spread 28.01%), though 58 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $456.38).
TwisterPro Scalper
Observed across 100 independent market paths: TwisterPro Scalper landed in the upper half at rank #5, posting 12 wins and $5.58 average profit.
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 30.16%, 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 ranked #6 of 10 — 9 wins, $16.44 average profit, 36 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: Peak drawdown hit 33.24% when trends ran without sufficient recovery — a defining risk characteristic of this batch.
Path variation: Only 9 outright wins, but frequently stayed within reach of the leaders.
The Buster XAU Single Entry
Observed across 100 independent market paths: The Buster XAU Single Entry ranked #7 of 10 — 6 wins, $-25.98 average profit, 21 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 27.23%, spread 25.83%), though 39 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $443.92).
Wave Rider EA
Observed across 100 independent market paths: Wave Rider EA ranked #8 of 10 — 5 wins, $-24.67 average profit, 21 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 44.58% 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.
Luna AI Pro
Observed across 100 independent market paths: Luna AI Pro ranked #9 of 10 — 4 wins, $-2.53 average profit, 25 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 29.96%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
Mavrik Scalper
Observed across 100 independent market paths: Mavrik Scalper ranked #10 of 10 — 1 wins, $-19.20 average profit, 28 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 33.02%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.