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 | 26 | 15 | 11 | +$91.14 | 8.76% | View | |
| 2 | 23 | 21 | 14 | +$112.79 | 8.11% | View | |
| 3 | 20 | 12 | 8 | +$79.54 | 7.53% | View | |
| 4 | 13 | 14 | 15 | +$73.59 | 8.32% | View | |
| 5 | 6 | 7 | 9 | +$13.49 | 9.49% | View | |
| 6 | 4 | 10 | 12 | +$42.59 | 8.22% | View | |
| 7 | 3 | 8 | 11 | +$32.76 | 8.58% | View | |
| 8 | 3 | 8 | 6 | $-8.52 | 10.07% | View | |
| 9 | 2 | 3 | 8 | +$11.63 | 8.66% | View | |
| 10 | 0 | 2 | 6 | $-14.64 | 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 — AurumEdge Scalper Pro
While several EAs posted strong individual runs, AurumEdge Scalper Pro led the batch with 26 outright victories and the highest average profit.
Consistent upper-tier rankings — top three in 52 paths — explain why it outpaced more volatile competitors.
Average drawdown remained contained at 8.76%, supporting a favourable balance between profitability and capital stress.
🛡 Most Consistent — SuperScalp Gold
Profit outcomes clustered more tightly for SuperScalp Gold 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.
This consistency came at the cost of fewer outright wins than more aggressive competitors.
⚖ Best Risk-Adjusted Performance — Adaptive Gold Scalper
Profit of $112.79 per unit of average drawdown (8.11%) ranked highest among all tested systems.
Peers with similar profits often accepted higher average drawdowns; this EA did not.
It may not have won the most simulations (23 wins), but each unit of drawdown produced more profit than competitors.
⚠ Highest Drawdown Variability — OrionXAU
Equity swings were widest here — drawdown ranged from 1.41% to 41.87% across 100 simulations.
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.
AurumEdge Scalper Pro
Observed across 100 independent market paths: AurumEdge Scalper Pro ranked first overall with 26 simulation wins and the highest average return at $91.14.
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.
Adaptive Gold Scalper
Observed across 100 independent market paths: Adaptive Gold Scalper finished second with 23 wins and an average return of $112.79 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: 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 took third place (20 wins, $79.54 average) and stayed competitive in 40 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: 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 $407.71).
Chiquita
Observed across 100 independent market paths: Chiquita landed in the upper half at rank #4, posting 13 wins and $73.59 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: 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 #5, posting 6 wins and $13.49 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 41.87%, spread 40.46%), though 56 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $624.98).
GOLD Scalper PRO
Observed across 100 independent market paths: GOLD Scalper PRO ranked #6 of 10 — 4 wins, $42.59 average profit, 26 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, $32.76 average profit, 22 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.
GoldZ AI
Observed across 100 independent market paths: GoldZ AI ranked #8 of 10 — 3 wins, $-8.52 average profit, 17 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 30.98%, 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 #9 of 10 — 2 wins, $11.63 average profit, 13 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.
Vortex Turbo EA
Observed across 100 independent market paths: Vortex Turbo EA ranked #10 of 10 — 0 wins, $-14.64 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: 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.