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 | 27 | 12 | 9 | +$66.67 | 9.41% | View | |
| 2 | 17 | 20 | 16 | +$69.91 | 8.82% | View | |
| 3 | 16 | 8 | 4 | +$8.02 | 10.18% | View | |
| 4 | 12 | 5 | 11 | +$23.06 | 9.43% | View | |
| 5 | 5 | 9 | 12 | $-0.63 | 10.13% | View | |
| 6 | 5 | 13 | 13 | $-5.76 | 9.98% | View | |
| 7 | 5 | 7 | 6 | $-24.60 | 10.66% | View | |
| 8 | 5 | 10 | 6 | $-26.46 | 11.14% | View | |
| 9 | 4 | 12 | 9 | +$0.73 | 10.11% | View | |
| 10 | 4 | 4 | 14 | $-30.03 | 11.17% | 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 27 outright victories and the highest average profit.
Consistent upper-tier rankings — top three in 48 paths — explain why it outpaced more volatile competitors.
Downside stayed controlled throughout the batch — peak drawdown was 18.84% while profitability led the field.
🛡 Most Consistent — Range Breakout EA with Range Filters
Profit outcomes clustered more tightly for Range Breakout EA with Range Filters 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 (4 wins), trading peak performance for repeatability.
⚖ Best Risk-Adjusted Performance — Gold Zilla AI
Gold Zilla AI achieved the best risk-adjusted performance in this batch — $69.91 average profit against 8.82% average drawdown.
It generated meaningful upside without proportionally large equity swings — efficient capital use across 100 independent paths.
It may not have won the most simulations (17 wins), but each unit of drawdown produced more profit than competitors.
⚠ Highest Drawdown Variability — AI Prop Firms
Equity swings were widest here — drawdown ranged from 2.63% to 41.41% across 100 simulations.
Market paths that favoured other strategy types repeatedly punished this design.
Even its best run ($217.77) 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 27 simulation wins and the highest average return at $66.67.
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: 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.
Gold Zilla AI
Observed across 100 independent market paths: Gold Zilla AI finished second with 17 wins and an average return of $69.91 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 24.41%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
Neurox AI
Observed across 100 independent market paths: Neurox AI took third place (16 wins, $8.02 average) and stayed competitive in 28 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 26.54%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
Oracle
Observed across 100 independent market paths: Oracle landed in the upper half at rank #4, posting 12 wins and $23.06 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 9.43% 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 5 wins and $-0.63 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: Large equity declines clustered in prolonged one-directional markets (peak 25.85%, spread 22.81%), though 49 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $495.19).
Helios Gold AI
Observed across 100 independent market paths: Helios Gold AI ranked #6 of 10 — 5 wins, $-5.76 average profit, 31 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 26.72%, exposing sensitivity to sustained hostile regimes.
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 #7 of 10 — 5 wins, $-24.60 average profit, 18 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 25.08%, spread 21.19%), though 38 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $436.50).
Straddle AI
Observed across 100 independent market paths: Straddle AI ranked #8 of 10 — 5 wins, $-26.46 average profit, 21 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: Peak drawdown hit 28.50% 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.
Range Breakout EA with Range Filters
Observed across 100 independent market paths: Range Breakout EA with Range Filters ranked #9 of 10 — 4 wins, $0.73 average profit, 25 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 24.47% 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.
AI Prop Firms
Observed across 100 independent market paths: AI Prop Firms ranked #10 of 10 — 4 wins, $-30.03 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 41.41%, spread 38.78%), though 41 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $599.03).