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 | 7 | 11 | +$75.56 | 8.61% | View | |
| 2 | 18 | 21 | 17 | +$85.66 | 8.55% | View | |
| 3 | 16 | 15 | 10 | +$70.24 | 8.56% | View | |
| 4 | 13 | 11 | 13 | +$59.96 | 7.69% | View | |
| 5 | 9 | 15 | 6 | +$44.69 | 8.17% | View | |
| 6 | 6 | 9 | 11 | +$24.48 | 8.90% | View | |
| 7 | 6 | 3 | 8 | $-20.45 | 11.01% | View | |
| 8 | 5 | 5 | 8 | +$4.09 | 8.99% | View | |
| 9 | 3 | 10 | 8 | +$23.48 | 8.71% | View | |
| 10 | 0 | 4 | 8 | $-21.55 | 9.62% | 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 — AurumEdge Scalper Pro
While several EAs posted strong individual runs, AurumEdge Scalper Pro led the batch with 24 outright victories and the highest average profit.
Consistent upper-tier rankings — top three in 42 paths — explain why it outpaced more volatile competitors.
Average drawdown remained contained at 8.61%, supporting a favourable balance between profitability and capital stress.
🛡 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 — Gold Vanguard EA
With a profit-to-drawdown ratio of 10.0, Gold Vanguard EA delivered the strongest return relative to capital stress in this test.
Returns scaled favourably versus drawdown, suggesting conditions aligned with its strategy without excessive recovery pressure.
Maximum upside was moderate compared with the batch winner, yet the profit-to-drawdown trade-off was the most attractive.
⚠ Highest Drawdown Variability — Gold Sniper Ravex Algo
Equity swings were widest here — drawdown ranged from 5.34% to 31.79% across 100 simulations.
Market paths that favoured other strategy types repeatedly punished this design.
Even its best run ($211.24) 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.
AurumEdge Scalper Pro
Observed across 100 independent market paths: AurumEdge Scalper Pro ranked first overall with 24 simulation wins and the highest average return at $75.56.
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 Vanguard EA
Observed across 100 independent market paths: Gold Vanguard EA finished second with 18 wins and an average return of $85.66 across 100 paths.
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 $453.10).
Chiquita
Observed across 100 independent market paths: Chiquita took third place (16 wins, $70.24 average) and stayed competitive in 41 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.
Golden Goose Scalper AI
Observed across 100 independent market paths: Golden Goose Scalper AI landed in the upper half at rank #4, posting 13 wins and $59.96 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: Results swung sharply between simulations (profit spread $425.42).
GOLD Scalper PRO
Observed across 100 independent market paths: GOLD Scalper PRO landed in the upper half at rank #5, posting 9 wins and $44.69 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: Downside risk stayed controlled across all simulated market paths.
Path variation: Only 9 outright wins, but frequently stayed within reach of the leaders.
OrionXAU
Observed across 100 independent market paths: OrionXAU ranked #6 of 10 — 6 wins, $24.48 average profit, 26 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 20.53%, spread 19.01%), though 65 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $394.61).
Gold Sniper Ravex Algo
Observed across 100 independent market paths: Gold Sniper Ravex Algo ranked #7 of 10 — 6 wins, $-20.45 average profit, 17 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 31.79%, spread 26.45%), though 43 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $481.49).
SuperScalp Gold
Observed across 100 independent market paths: SuperScalp Gold ranked #8 of 10 — 5 wins, $4.09 average profit, 18 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: Drawdown averaged 8.99% with wider peaks, acceptable given net profitability across the batch.
Path variation: Performance depended heavily on which market path appeared — strong in some, weak in others.
Leto Apex Scalper
Observed across 100 independent market paths: Leto Apex Scalper ranked #9 of 10 — 3 wins, $23.48 average profit, 21 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, $-21.55 average profit, 12 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: Severe equity declines were avoided in every simulation, with peak drawdown remaining under 20%.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.