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 | 19 | 13 | 15 | +$55.78 | 9.92% | View | |
| 2 | 16 | 8 | 7 | +$4.43 | 11.08% | View | |
| 3 | 13 | 16 | 12 | +$47.61 | 9.53% | View | |
| 4 | 11 | 15 | 6 | +$15.92 | 9.84% | View | |
| 5 | 10 | 11 | 11 | +$10.86 | 11.19% | View | |
| 6 | 9 | 8 | 12 | +$25.74 | 9.06% | View | |
| 7 | 6 | 8 | 13 | +$8.87 | 8.47% | View | |
| 8 | 6 | 11 | 7 | $-8.21 | 11.03% | View | |
| 9 | 5 | 6 | 13 | $-25.81 | 12.11% | View | |
| 10 | 5 | 4 | 4 | $-53.41 | 13.54% | 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 — Vex Gold EA
Vex Gold EA separated itself from the field by combining frequent wins with an average return of $55.78.
Strong alignment with trending and volatile phases allowed it to stay near the front across 47 top-three finishes.
Average drawdown remained contained at 9.92%, supporting a favourable balance between profitability and capital stress.
🛡 Most Consistent — Smart Gold Hunter
Smart Gold Hunter produced the lowest variation in profitability between simulations (spread $516.34, std. dev. $111.15).
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 — Vex Gold EA
Profit of $55.78 per unit of average drawdown (9.92%) ranked highest among all tested systems.
Peers with similar profits often accepted higher average drawdowns; this EA did not.
It combined the batch's highest average profit with comparatively low average drawdown, producing the strongest profit-to-drawdown trade-off.
⚠ Highest Drawdown Variability — LNT Gold X100
Equity swings were widest here — drawdown ranged from 1.80% to 45.87% across 100 simulations.
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.
Vex Gold EA
Observed across 100 independent market paths: Vex Gold EA ranked first overall with 19 simulation wins and the highest average return at $55.78.
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 31.45% 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 House
Observed across 100 independent market paths: Gold House finished second with 16 wins and an average return of $4.43 across 100 paths.
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 28.16%, spread 23.12%), though 49 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $627.00).
GoldStorm Pro EA
Observed across 100 independent market paths: GoldStorm Pro EA took third place (13 wins, $47.61 average) and stayed competitive in 41 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 33.61%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
Lizard
Observed across 100 independent market paths: Lizard landed in the upper half at rank #4, posting 11 wins and $15.92 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 29.08%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
GoldSpire
Observed across 100 independent market paths: GoldSpire landed in the upper half at rank #5, posting 10 wins and $10.86 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: Peak drawdown hit 48.07% 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.
Smart Gold Hunter
Observed across 100 independent market paths: Smart Gold Hunter ranked #6 of 10 — 9 wins, $25.74 average profit, 29 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 24.28%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
Goldrix Trend
Observed across 100 independent market paths: Goldrix Trend ranked #7 of 10 — 6 wins, $8.87 average profit, 27 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 20.53%, spread 20.31%), though 51 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $464.57).
Impulse
Observed across 100 independent market paths: Impulse ranked #8 of 10 — 6 wins, $-8.21 average profit, 24 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 27.73%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
XAU Marti H1Trend
Observed across 100 independent market paths: XAU Marti H1Trend ranked #9 of 10 — 5 wins, $-25.81 average profit, 24 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 38.89% 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.
LNT Gold X100
Observed across 100 independent market paths: LNT Gold X100 ranked #10 of 10 — 5 wins, $-53.41 average profit, 13 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 45.87%, spread 44.07%), though 35 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $690.60).