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 | 24 | 17 | 14 | +$105.88 | 8.43% | View | |
| 2 | 23 | 10 | 11 | +$84.52 | 7.50% | View | |
| 3 | 13 | 13 | 9 | +$70.97 | 8.51% | View | |
| 4 | 13 | 12 | 5 | +$40.21 | 8.64% | View | |
| 5 | 10 | 15 | 10 | +$73.07 | 8.61% | View | |
| 6 | 10 | 12 | 10 | +$54.13 | 8.23% | View | |
| 7 | 3 | 7 | 14 | +$35.89 | 8.39% | View | |
| 8 | 2 | 6 | 6 | +$15.37 | 8.99% | View | |
| 9 | 2 | 7 | 14 | +$7.41 | 8.75% | View | |
| 10 | 0 | 1 | 7 | $-8.34 | 9.66% | 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 $105.88.
Strong alignment with trending and volatile phases allowed it to stay near the front across 55 top-three finishes.
Downside stayed controlled throughout the batch — peak drawdown was 17.73% while profitability led the field.
🛡 Most Consistent — Leto Apex Scalper
Profit outcomes clustered more tightly for Leto Apex Scalper 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 rarely finished first (3 wins), trading peak performance for repeatability.
⚖ Best Risk-Adjusted Performance — Adaptive Gold Scalper
Profit of $105.88 per unit of average drawdown (8.43%) 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 — Boring Gold EA Xauusd Trend RSI Strategy
No other EA matched the drawdown dispersion of Boring Gold EA Xauusd Trend RSI Strategy, making it the most path-dependent in this test.
Market paths that favoured other strategy types repeatedly punished this design.
Even its best run ($217.77) did not offset how widely drawdown outcomes diverged across paths.
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 24 simulation wins and the highest average return at $105.88.
Strategy-family context: Responded to the market conditions present during this simulation with comparatively controlled drawdowns across diverse regimes.
Observed risk across the sample: Despite an aggressive style, drawdown never breached 20% — placing it among the safer directional systems in this batch.
Path variation: Performance depended heavily on which market path appeared — strong in some, weak in others.
Golden Goose Scalper AI
Observed across 100 independent market paths: Golden Goose Scalper AI finished second with 23 wins and an average return of $84.52 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: Despite an aggressive style, drawdown never breached 20% — placing it among the safer directional systems in this batch.
Path variation: Results swung sharply between simulations (profit spread $381.50).
Chiquita
Observed across 100 independent market paths: Chiquita took third place (13 wins, $70.97 average) and stayed competitive in 35 simulations.
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.
OrionXAU
Observed across 100 independent market paths: OrionXAU landed in the upper half at rank #4, posting 13 wins and $40.21 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: Temporary equity pressure peaked at 22.59% — elevated, yet recovery generally followed in winning simulations.
Path variation: Results swung sharply between simulations (profit spread $476.15).
AurumEdge Scalper Pro
Observed across 100 independent market paths: AurumEdge Scalper Pro landed in the upper half at rank #5, posting 10 wins and $73.07 average profit.
Strategy-family context: Responded to the market conditions present during this simulation with comparatively controlled drawdowns across diverse regimes.
Observed risk across the sample: Despite an aggressive style, drawdown never breached 20% — placing it among the safer directional systems in this batch.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
GOLD Scalper PRO
Observed across 100 independent market paths: GOLD Scalper PRO ranked #6 of 10 — 10 wins, $54.13 average profit, 32 top-three finishes.
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.
Leto Apex Scalper
Observed across 100 independent market paths: Leto Apex Scalper ranked #7 of 10 — 3 wins, $35.89 average profit, 24 top-three finishes.
Strategy-family context: Responded to the market conditions present during this simulation with comparatively controlled drawdowns across diverse regimes.
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.
SuperScalp Gold
Observed across 100 independent market paths: SuperScalp Gold ranked #8 of 10 — 2 wins, $15.37 average profit, 14 top-three finishes.
Strategy-family context: Responded to the market conditions present during this simulation with comparatively controlled drawdowns across diverse regimes.
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.
Boring Gold EA Xauusd Trend RSI Strategy
Observed across 100 independent market paths: Boring Gold EA Xauusd Trend RSI Strategy ranked #9 of 10 — 2 wins, $7.41 average profit, 23 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.
Vortex Turbo EA
Observed across 100 independent market paths: Vortex Turbo EA ranked #10 of 10 — 0 wins, $-8.34 average profit, 8 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 25.50%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.