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 | 15 | 5 | 10 | $-14.93 | 6.87% | View | |
| 2 | 14 | 6 | 11 | $-23.36 | 9.59% | View | |
| 3 | 13 | 8 | 5 | $-56.96 | 12.15% | View | |
| 4 | 12 | 13 | 5 | $-24.44 | 9.73% | View | |
| 5 | 12 | 10 | 10 | $-33.84 | 10.38% | View | |
| 6 | 9 | 11 | 13 | $-13.37 | 9.61% | View | |
| 7 | 8 | 13 | 11 | $-48.78 | 11.88% | View | |
| 8 | 7 | 11 | 10 | $-21.39 | 9.56% | View | |
| 9 | 7 | 7 | 13 | $-49.84 | 11.82% | View | |
| 10 | 3 | 16 | 12 | $-21.29 | 8.95% | 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 — SwissSniperEA
SwissSniperEA delivered the strongest overall performance across all 100 simulations, averaging $-14.93 with 15 first-place finishes.
It remained among the top three in 30 of 100 runs, showing that its lead was not dependent on only a few exceptional outcomes.
Downside stayed controlled throughout the batch — peak drawdown was 35.51% while profitability led the field.
🛡 Most Consistent — Neurox AI
Neurox AI produced the lowest variation in profitability between simulations (spread $598.04, std. dev. $138.40).
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 — One Gold
Profit of $-13.37 per unit of average drawdown (9.61%) ranked highest among all tested systems.
Peers with similar profits often accepted higher average drawdowns; this EA did not.
Maximum upside was moderate compared with the batch winner, yet the profit-to-drawdown trade-off was the most attractive.
⚠ Highest Drawdown Variability — Neurox AI
Neurox AI showed the largest variation in drawdown across the batch (68.38% spread, peak 69.97%).
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.
SwissSniperEA
Observed across 100 independent market paths: SwissSniperEA ranked first overall with 15 simulation wins and the highest average return at $-14.93.
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 35.51%, spread 35.51%), though 46 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $456.68).
AI Prop Firms
Observed across 100 independent market paths: AI Prop Firms finished second with 14 wins and an average return of $-23.36 across 100 paths.
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 33.46%, spread 31.96%), though 54 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $442.21).
Prime Execution AI EA
Observed across 100 independent market paths: Prime Execution AI EA took third place (13 wins, $-56.96 average) and stayed competitive in 26 simulations.
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 39.52%, spread 38.14%), though 46 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $511.04).
Gold Zilla AI
Observed across 100 independent market paths: Gold Zilla AI landed in the upper half at rank #4, posting 12 wins and $-24.44 average profit.
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 40.21%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
Helios Gold AI
Observed across 100 independent market paths: Helios Gold AI landed in the upper half at rank #5, posting 12 wins and $-33.84 average profit.
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 42.15%, 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 ranked #6 of 10 — 9 wins, $-13.37 average profit, 33 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 40.19% when trends ran without sufficient recovery — a defining risk characteristic of this batch.
Path variation: Only 9 outright wins, but frequently stayed within reach of the leaders.
Straddle AI
Observed across 100 independent market paths: Straddle AI ranked #7 of 10 — 8 wins, $-48.78 average profit, 32 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 47.47% when trends ran without sufficient recovery — a defining risk characteristic of this batch.
Path variation: Only 8 outright wins, but frequently stayed within reach of the leaders.
Neurox AI
Observed across 100 independent market paths: Neurox AI ranked #8 of 10 — 7 wins, $-21.39 average profit, 28 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 69.97%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
Aurum AI
Observed across 100 independent market paths: Aurum AI ranked #9 of 10 — 7 wins, $-49.84 average profit, 27 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 43.04%, 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 #10 of 10 — 3 wins, $-21.29 average profit, 31 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 43.65%, spread 42.13%), though 53 of 100 paths still finished profitable.
Path variation: Only 3 outright wins, but frequently stayed within reach of the leaders.