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 | 14 | 8 | +$61.34 | 9.46% | View | |
| 2 | 19 | 17 | 14 | +$57.58 | 9.06% | View | |
| 3 | 16 | 16 | 8 | +$31.18 | 9.77% | View | |
| 4 | 10 | 11 | 12 | +$19.50 | 9.91% | View | |
| 5 | 10 | 3 | 9 | $-24.00 | 10.85% | View | |
| 6 | 6 | 9 | 10 | $-17.31 | 10.42% | View | |
| 7 | 5 | 11 | 14 | $-8.36 | 10.59% | View | |
| 8 | 5 | 5 | 9 | $-37.97 | 11.27% | View | |
| 9 | 4 | 7 | 11 | $-14.10 | 10.68% | View | |
| 10 | 1 | 7 | 5 | $-44.68 | 11.60% | 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 — Aurum AI
While several EAs posted strong individual runs, Aurum AI led the batch with 24 outright victories and the highest average profit.
Consistent upper-tier rankings — top three in 46 paths — explain why it outpaced more volatile competitors.
Downside stayed controlled throughout the batch — peak drawdown was 26.51% while profitability led the field.
🛡 Most Consistent — AI Prop Firms
AI Prop Firms showed the most stable profit path across the batch, with smaller swings between individual market scenarios.
It stayed profitable in 43 of 100 scenarios and placed top-three 22 times — steady without needing to dominate every run.
It rarely finished first (4 wins), trading peak performance for repeatability.
⚖ Best Risk-Adjusted Performance — Aurum AI
Aurum AI achieved the best risk-adjusted performance in this batch — $61.34 average profit against 9.46% average drawdown.
It generated meaningful upside without proportionally large equity swings — efficient capital use across 100 independent paths.
Its strong average return was achieved without proportionally high drawdown, giving it the most attractive risk-adjusted result in the batch.
⚠ Highest Drawdown Variability — Prime Execution AI EA
Equity swings were widest here — drawdown ranged from 3.99% to 33.43% across 100 simulations.
Market paths that favoured other strategy types repeatedly punished this design.
Even its best run ($212.84) 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.
Aurum AI
Observed across 100 independent market paths: Aurum AI ranked first overall with 24 simulation wins and the highest average return at $61.34.
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 26.51%, 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 finished second with 19 wins and an average return of $57.58 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 28.40%, 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 took third place (16 wins, $31.18 average) and stayed competitive in 40 simulations.
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 23.83% 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.
Neurox AI
Observed across 100 independent market paths: Neurox AI landed in the upper half at rank #4, posting 10 wins and $19.50 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: Extended adverse movement drove drawdowns toward 28.53%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
Straddle AI
Observed across 100 independent market paths: Straddle AI landed in the upper half at rank #5, posting 10 wins and $-24.00 average profit.
Strategy-family context: Responded to the market conditions present during this simulation, but hostile regime mixes outweighed favourable opportunities.
Observed risk across the sample: Peak drawdown hit 25.80% 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.
Helios Gold AI
Observed across 100 independent market paths: Helios Gold AI ranked #6 of 10 — 6 wins, $-17.31 average profit, 25 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 30.90%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
AI Gold Prime
Observed across 100 independent market paths: AI Gold Prime ranked #7 of 10 — 5 wins, $-8.36 average profit, 30 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 25.17%, spread 19.89%), though 47 of 100 paths still finished profitable.
Path variation: Only 5 outright wins, but frequently stayed within reach of the leaders.
Prime Execution AI EA
Observed across 100 independent market paths: Prime Execution AI EA ranked #8 of 10 — 5 wins, $-37.97 average profit, 19 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 33.43%, spread 29.44%), though 37 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $525.89).
AI Prop Firms
Observed across 100 independent market paths: AI Prop Firms ranked #9 of 10 — 4 wins, $-14.10 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 29.70%, spread 23.90%), though 43 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $490.45).
Quantum iGold
Observed across 100 independent market paths: Quantum iGold ranked #10 of 10 — 1 wins, $-44.68 average profit, 13 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 29.62%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.