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 | 17 | 17 | +$96.30 | 8.28% | View | |
| 2 | 24 | 11 | 9 | +$74.36 | 9.21% | View | |
| 3 | 15 | 13 | 9 | +$47.66 | 8.95% | View | |
| 4 | 11 | 14 | 15 | +$39.56 | 9.17% | View | |
| 5 | 6 | 9 | 9 | $-0.29 | 10.00% | View | |
| 6 | 5 | 8 | 8 | +$9.04 | 9.70% | View | |
| 7 | 5 | 7 | 10 | $-0.79 | 10.36% | View | |
| 8 | 5 | 4 | 7 | $-14.67 | 10.63% | View | |
| 9 | 2 | 11 | 9 | $-23.44 | 10.96% | View | |
| 10 | 1 | 6 | 7 | $-7.97 | 10.02% | 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 — Gold Vanguard EA
Gold Vanguard EA delivered the strongest overall performance across all 100 simulations, averaging $96.30 with 26 first-place finishes.
It remained among the top three in 60 of 100 runs, showing that its lead was not dependent on only a few exceptional outcomes.
Average drawdown remained contained at 8.28%, supporting a favourable balance between profitability and capital stress.
🛡 Most Consistent — Gold Vanguard EA
Gold Vanguard EA showed the most stable profit path across the batch, with smaller swings between individual market scenarios.
It stayed profitable in 84 of 100 scenarios and placed top-three 60 times — steady without needing to dominate every run.
It balanced repeatability with 26 outright wins — competitive without being the most aggressive in the batch.
⚖ Best Risk-Adjusted Performance — Gold Vanguard EA
With a profit-to-drawdown ratio of 11.6, 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.
It combined the batch's highest average profit with comparatively low average drawdown, producing the strongest profit-to-drawdown trade-off.
⚠ Highest Drawdown Variability — Prime Execution AI EA
Equity swings were widest here — drawdown ranged from 3.43% to 32.04% across 100 simulations.
Market paths that favoured other strategy types repeatedly punished this design.
Even its best run ($163.15) 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.
Gold Vanguard EA
Observed across 100 independent market paths: Gold Vanguard EA ranked first overall with 26 simulation wins and the highest average return at $96.30.
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: Results swung sharply between simulations (profit spread $423.95).
Aurum AI
Observed across 100 independent market paths: Aurum AI finished second with 24 wins and an average return of $74.36 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 24.90%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
Gold Zilla AI
Observed across 100 independent market paths: Gold Zilla AI took third place (15 wins, $47.66 average) and stayed competitive in 37 simulations.
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 23.77%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
One Gold
Observed across 100 independent market paths: One Gold landed in the upper half at rank #4, posting 11 wins and $39.56 average profit.
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 9.17% 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.
AI Gold Prime
Observed across 100 independent market paths: AI Gold Prime landed in the upper half at rank #5, posting 6 wins and $-0.29 average profit.
Strategy-family context: Hostile regime combinations limited the benefit of responded to the market conditions present during this simulation.
Observed risk across the sample: Peak drawdown of 23.08% coincided with weak recovery — risk outweighed reward in many paths.
Path variation: Results swung sharply between simulations (profit spread $456.83).
Neurox AI
Observed across 100 independent market paths: Neurox AI ranked #6 of 10 — 5 wins, $9.04 average profit, 21 top-three finishes.
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: Average drawdown reached 9.70% with peaks near 21.27%, but recovery completed in most profitable paths.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
Helios Gold AI
Observed across 100 independent market paths: Helios Gold AI ranked #7 of 10 — 5 wins, $-0.79 average profit, 22 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 31.83%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
AI Prop Firms
Observed across 100 independent market paths: AI Prop Firms ranked #8 of 10 — 5 wins, $-14.67 average profit, 16 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 25.34%, spread 19.08%), though 50 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $451.97).
Prime Execution AI EA
Observed across 100 independent market paths: Prime Execution AI EA ranked #9 of 10 — 2 wins, $-23.44 average profit, 22 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 32.04%, spread 28.61%), though 45 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $460.44).
Straddle AI
Observed across 100 independent market paths: Straddle AI ranked #10 of 10 — 1 wins, $-7.97 average profit, 14 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: Equity swings peaked at 22.93% without reliable recovery across adverse regimes.
Path variation: Performance depended heavily on which market path appeared — strong in some, weak in others.