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 | 22 | 12 | 9 | +$58.88 | 9.66% | View | |
| 2 | 17 | 16 | 9 | +$50.66 | 9.58% | View | |
| 3 | 16 | 10 | 11 | +$62.25 | 9.15% | View | |
| 4 | 15 | 17 | 14 | +$78.96 | 8.48% | View | |
| 5 | 12 | 13 | 9 | +$27.02 | 9.97% | View | |
| 6 | 6 | 2 | 9 | $-23.13 | 10.91% | View | |
| 7 | 5 | 7 | 16 | +$2.75 | 9.92% | View | |
| 8 | 3 | 10 | 8 | $-13.27 | 10.78% | View | |
| 9 | 2 | 7 | 8 | $-9.88 | 10.27% | View | |
| 10 | 2 | 6 | 7 | $-32.95 | 11.33% | 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 22 outright victories and the highest average profit.
Consistent upper-tier rankings — top three in 43 paths — explain why it outpaced more volatile competitors.
Downside stayed controlled throughout the batch — peak drawdown was 32.22% while profitability led the field.
🛡 Most Consistent — Dark Gold
Dark Gold showed the most stable profit path across the batch, with smaller swings between individual market scenarios.
It stayed profitable in 81 of 100 scenarios and placed top-three 46 times — steady without needing to dominate every run.
It balanced repeatability with 15 outright wins — competitive without being the most aggressive in the batch.
⚖ Best Risk-Adjusted Performance — Dark Gold
With a profit-to-drawdown ratio of 9.3, Dark Gold 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.
Maximum upside was moderate compared with the batch winner, yet the profit-to-drawdown trade-off was the most attractive.
⚠ Highest Drawdown Variability — Aurum AI
Aurum AI showed the largest variation in drawdown across the batch (28.09% spread, peak 32.22%).
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.
Aurum AI
Observed across 100 independent market paths: Aurum AI ranked first overall with 22 simulation wins and the highest average return at $58.88.
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 32.22%, 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 finished second with 17 wins and an average return of $50.66 across 100 paths.
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 25.82% 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.
Gold Zilla AI
Observed across 100 independent market paths: Gold Zilla AI took third place (16 wins, $62.25 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 22.22%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
Dark Gold
Observed across 100 independent market paths: Dark Gold landed in the upper half at rank #4, posting 15 wins and $78.96 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: Downside risk stayed controlled across all simulated market paths.
Path variation: Results swung sharply between simulations (profit spread $478.33).
Neurox AI
Observed across 100 independent market paths: Neurox AI landed in the upper half at rank #5, posting 12 wins and $27.02 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: Average drawdown reached 9.97% with peaks near 23.05%, 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 #6 of 10 — 6 wins, $-23.13 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 23.98%, 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, $2.75 average profit, 28 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 23.56%, spread 21.65%), though 50 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $411.25).
Straddle AI
Observed across 100 independent market paths: Straddle AI ranked #8 of 10 — 3 wins, $-13.27 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 25.41% 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.
Prime Execution AI EA
Observed across 100 independent market paths: Prime Execution AI EA ranked #9 of 10 — 2 wins, $-9.88 average profit, 17 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 33.78%, spread 27.68%), though 51 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $554.49).
AI Prop Firms
Observed across 100 independent market paths: AI Prop Firms ranked #10 of 10 — 2 wins, $-32.95 average profit, 15 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 30.43%, spread 23.92%), though 41 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $489.55).