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 | 20 | 8 | 8 | +$40.26 | 9.75% | View | |
| 2 | 19 | 11 | 14 | +$55.36 | 9.55% | View | |
| 3 | 16 | 11 | 11 | +$43.34 | 9.87% | View | |
| 4 | 11 | 14 | 11 | +$43.50 | 9.02% | View | |
| 5 | 10 | 10 | 11 | +$18.90 | 9.50% | View | |
| 6 | 9 | 7 | 8 | $-8.09 | 10.50% | View | |
| 7 | 6 | 15 | 11 | +$23.11 | 8.93% | View | |
| 8 | 5 | 4 | 12 | $-28.13 | 10.98% | View | |
| 9 | 2 | 9 | 6 | $-19.30 | 10.60% | View | |
| 10 | 2 | 11 | 8 | $-31.88 | 11.09% | 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 — One Gold
One Gold separated itself from the field by combining frequent wins with an average return of $40.26.
Strong alignment with trending and volatile phases allowed it to stay near the front across 36 top-three finishes.
Average drawdown remained contained at 9.75%, supporting a favourable balance between profitability and capital stress.
🛡 Most Consistent — Helios Gold AI
Helios Gold AI produced the lowest variation in profitability between simulations (spread $410.99, std. dev. $104.98).
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 — Gold Zilla AI
Gold Zilla AI achieved the best risk-adjusted performance in this batch — $55.36 average profit against 9.55% 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 (19 wins), but each unit of drawdown produced more profit than competitors.
⚠ Highest Drawdown Variability — Prime Execution AI EA
Equity swings were widest here — drawdown ranged from 5.09% to 29.86% across 100 simulations.
Market paths that favoured other strategy types repeatedly punished this design.
Even its best run ($185.10) 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.
One Gold
Observed across 100 independent market paths: One Gold ranked first overall with 20 simulation wins and the highest average return at $40.26.
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 28.97% 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 finished second with 19 wins and an average return of $55.36 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 27.56%, 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, $43.34 average) and stayed competitive in 38 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 25.65%, 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 landed in the upper half at rank #4, posting 11 wins and $43.50 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 25.29%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
GoldZ AI
Observed across 100 independent market paths: GoldZ AI landed in the upper half at rank #5, posting 10 wins and $18.90 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 9.50% with peaks near 21.44%, but recovery completed in most profitable paths.
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 #6 of 10 — 9 wins, $-8.09 average profit, 24 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 29.76%, spread 24.11%), though 53 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $526.84).
Helios Gold AI
Observed across 100 independent market paths: Helios Gold AI ranked #7 of 10 — 6 wins, $23.11 average profit, 32 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: Extended adverse movement drove drawdowns toward 23.38%, exposing sensitivity to sustained hostile regimes.
Path variation: Only 6 outright wins, but frequently stayed within reach of the leaders.
Straddle AI
Observed across 100 independent market paths: Straddle AI ranked #8 of 10 — 5 wins, $-28.13 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 29.62% 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 #9 of 10 — 2 wins, $-19.30 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 27.13%, spread 22.08%), though 44 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $537.19).
Prime Execution AI EA
Observed across 100 independent market paths: Prime Execution AI EA ranked #10 of 10 — 2 wins, $-31.88 average profit, 21 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 29.86%, spread 24.77%), though 39 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $483.72).