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 | 25 | 14 | 11 | +$89.51 | 8.53% | View | |
| 2 | 18 | 11 | 3 | +$27.01 | 9.21% | View | |
| 3 | 15 | 8 | 14 | +$31.43 | 9.33% | View | |
| 4 | 8 | 12 | 11 | +$11.97 | 10.16% | View | |
| 5 | 8 | 12 | 12 | +$9.86 | 8.95% | View | |
| 6 | 8 | 6 | 11 | +$3.35 | 10.30% | View | |
| 7 | 6 | 8 | 9 | $-16.72 | 9.39% | View | |
| 8 | 5 | 13 | 10 | +$8.14 | 10.15% | View | |
| 9 | 4 | 10 | 11 | +$2.28 | 8.69% | View | |
| 10 | 3 | 6 | 8 | $-32.39 | 11.87% | 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 — Gold Vanguard EA
Gold Vanguard EA delivered the strongest overall performance across all 100 simulations, averaging $89.51 with 25 first-place finishes.
It remained among the top three in 50 of 100 runs, showing that its lead was not dependent on only a few exceptional outcomes.
Average drawdown remained contained at 8.53%, supporting a favourable balance between profitability and capital stress.
🛡 Most Consistent — Gold Vanguard EA
Gold Vanguard EA showed the most stable profit path across the batch, with smaller swings between individual market scenarios.
It stayed profitable in 83 of 100 scenarios and placed top-three 50 times — steady without needing to dominate every run.
It balanced repeatability with 25 outright wins — competitive without being the most aggressive in the batch.
⚖ Best Risk-Adjusted Performance — Gold Vanguard EA
With a profit-to-drawdown ratio of 10.5, Gold Vanguard EA 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.
It combined the batch's highest average profit with comparatively low average drawdown, producing the strongest profit-to-drawdown trade-off.
⚠ Highest Drawdown Variability — Swing Breakout EA
No other EA matched the drawdown dispersion of Swing Breakout EA, making it the most path-dependent in this test.
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.
Gold Vanguard EA
Observed across 100 independent market paths: Gold Vanguard EA ranked first overall with 25 simulation wins and the highest average return at $89.51.
Strategy-family context: Responded to the market conditions present during this simulation with comparatively controlled drawdowns across diverse regimes.
Observed risk across the sample: Severe equity declines were avoided in every simulation, with peak drawdown remaining under 20%.
Path variation: Results swung sharply between simulations (profit spread $393.22).
Smart Gold Hunter
Observed across 100 independent market paths: Smart Gold Hunter finished second with 18 wins and an average return of $27.01 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 23.46%, 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 took third place (15 wins, $31.43 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: Average drawdown reached 9.33% with peaks near 21.38%, but recovery completed in most profitable paths.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
The Golden Staircase
Observed across 100 independent market paths: The Golden Staircase landed in the upper half at rank #4, posting 8 wins and $11.97 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: Large equity declines clustered in prolonged one-directional markets (peak 25.18%, spread 19.09%), though 56 of 100 paths still finished profitable.
Path variation: Only 8 outright wins, but frequently stayed within reach of the leaders.
Trend Matrix EA
Observed across 100 independent market paths: Trend Matrix EA landed in the upper half at rank #5, posting 8 wins and $9.86 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 23.87% 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.
Swing Breakout EA
Observed across 100 independent market paths: Swing Breakout EA ranked #6 of 10 — 8 wins, $3.35 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 31.81% 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.
Spider Gold
Observed across 100 independent market paths: Spider Gold ranked #7 of 10 — 6 wins, $-16.72 average profit, 23 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 22.92% 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.
CRT Model 1
Observed across 100 independent market paths: CRT Model 1 ranked #8 of 10 — 5 wins, $8.14 average profit, 28 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 24.92%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
Boring Gold EA Xauusd Trend RSI Strategy
Observed across 100 independent market paths: Boring Gold EA Xauusd Trend RSI Strategy ranked #9 of 10 — 4 wins, $2.28 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 26.29% 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 Sniper Ravex Algo
Observed across 100 independent market paths: Gold Sniper Ravex Algo ranked #10 of 10 — 3 wins, $-32.39 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 33.62%, spread 27.76%), though 40 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $504.49).