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 | 17 | 8 | +$97.82 | 7.93% | View | |
| 2 | 18 | 9 | 8 | +$64.00 | 8.87% | View | |
| 3 | 17 | 9 | 12 | +$80.59 | 8.56% | View | |
| 4 | 14 | 25 | 10 | +$96.08 | 7.46% | View | |
| 5 | 10 | 10 | 10 | +$55.73 | 8.18% | View | |
| 6 | 7 | 7 | 11 | +$28.12 | 8.97% | View | |
| 7 | 6 | 8 | 13 | +$28.44 | 9.57% | View | |
| 8 | 4 | 8 | 13 | +$28.85 | 8.42% | View | |
| 9 | 3 | 6 | 8 | +$14.93 | 8.88% | View | |
| 10 | 1 | 1 | 7 | $-11.14 | 9.26% | 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 $97.82.
Strong alignment with trending and volatile phases allowed it to stay near the front across 45 top-three finishes.
Downside stayed controlled throughout the batch — peak drawdown was 16.21% while profitability led the field.
🛡 Most Consistent — Vortex Turbo EA
Vortex Turbo EA produced the lowest variation in profitability between simulations (spread $309.82, std. dev. $76.43).
Rather than relying on a few exceptional runs, it maintained competitive performance across a wide variety of market conditions.
This consistency came at the cost of fewer outright wins than more aggressive competitors.
⚖ Best Risk-Adjusted Performance — Golden Goose Scalper AI
With a profit-to-drawdown ratio of 12.9, Golden Goose Scalper AI 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.
It may not have won the most simulations (14 wins), but each unit of drawdown produced more profit than competitors.
⚠ Highest Drawdown Variability — XG Gold Robot
Equity swings were widest here — drawdown ranged from 4.04% to 33.81% across 100 simulations.
Hostile regime combinations — trend reversals, volatility spikes, or range extensions — hit this strategy harder than peers.
Favourable paths still delivered standout peaks — the trade-off is higher drawdown variability, not absence of upside.
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 $97.82.
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.
AurumEdge Scalper Pro
Observed across 100 independent market paths: AurumEdge Scalper Pro finished second with 18 wins and an average return of $64.00 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: High path sensitivity produced wide outcome dispersion across the batch.
Chiquita
Observed across 100 independent market paths: Chiquita took third place (17 wins, $80.59 average) and stayed competitive in 38 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 14 wins and $96.08 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 $399.37).
GOLD Scalper PRO
Observed across 100 independent market paths: GOLD Scalper PRO landed in the upper half at rank #5, posting 10 wins and $55.73 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: 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 ranked #6 of 10 — 7 wins, $28.12 average profit, 25 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: Results swung sharply between simulations (profit spread $412.40).
XG Gold Robot
Observed across 100 independent market paths: XG Gold Robot ranked #7 of 10 — 6 wins, $28.44 average profit, 27 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 33.81%, spread 29.77%), though 66 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $601.47).
Leto Apex Scalper
Observed across 100 independent market paths: Leto Apex Scalper ranked #8 of 10 — 4 wins, $28.85 average profit, 25 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 #9 of 10 — 3 wins, $14.93 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: Peak drawdown hit 20.38% 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.
Vortex Turbo EA
Observed across 100 independent market paths: Vortex Turbo EA ranked #10 of 10 — 1 wins, $-11.14 average profit, 9 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.