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 | 17 | 7 | 5 | +$23.55 | 10.63% | View | |
| 2 | 16 | 14 | 13 | +$54.17 | 9.04% | View | |
| 3 | 15 | 14 | 11 | +$66.11 | 8.79% | View | |
| 4 | 12 | 15 | 10 | +$66.66 | 8.95% | View | |
| 5 | 11 | 9 | 11 | +$53.83 | 9.03% | View | |
| 6 | 10 | 11 | 13 | +$32.83 | 9.08% | View | |
| 7 | 9 | 9 | 11 | +$49.29 | 8.13% | View | |
| 8 | 6 | 10 | 10 | +$29.14 | 9.28% | View | |
| 9 | 2 | 8 | 8 | $-14.44 | 10.72% | View | |
| 10 | 2 | 3 | 8 | $-22.53 | 10.88% | 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 — Scalping Robot Pro
While several EAs posted strong individual runs, Scalping Robot Pro led the batch with 17 outright victories and the highest average profit.
Consistent upper-tier rankings — top three in 29 paths — explain why it outpaced more volatile competitors.
Average drawdown remained contained at 10.63%, supporting a favourable balance between profitability and capital stress.
🛡 Most Consistent — GOLD Scalper PRO
GOLD Scalper PRO produced the lowest variation in profitability between simulations (spread $361.12, std. dev. $96.26).
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 — The Gold Reaper
The Gold Reaper achieved the best risk-adjusted performance in this batch — $66.11 average profit against 8.79% 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 (15 wins), but each unit of drawdown produced more profit than competitors.
⚠ Highest Drawdown Variability — Scalping Robot Pro
Scalping Robot Pro showed the largest variation in drawdown across the batch (31.70% spread, peak 37.75%).
Market paths that favoured other strategy types repeatedly punished this design.
When volatility aligned, it occasionally produced some of the strongest individual simulation results (best run $315.37).
Simulation Analysis by Expert Advisor
Observed across 100 independent market paths. Strategy-family context is explanatory, not a forecast.
Scalping Robot Pro
Observed across 100 independent market paths: Scalping Robot Pro ranked first overall with 17 simulation wins and the highest average return at $23.55.
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 37.75%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
Gold Trade Pro
Observed across 100 independent market paths: Gold Trade Pro finished second with 16 wins and an average return of $54.17 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: Temporary equity pressure peaked at 20.91% — elevated, yet recovery generally followed in winning simulations.
Path variation: Results swung sharply between simulations (profit spread $456.17).
The Gold Reaper
Observed across 100 independent market paths: The Gold Reaper took third place (15 wins, $66.11 average) and stayed competitive in 40 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 8.79% with peaks near 22.21%, but recovery completed in most profitable paths.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
One Gold
Observed across 100 independent market paths: One Gold landed in the upper half at rank #4, posting 12 wins and $66.66 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: Severe equity declines were avoided in every simulation, with peak drawdown remaining under 20%.
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 landed in the upper half at rank #5, posting 11 wins and $53.83 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: Downside risk remained moderate. Maximum drawdown stayed below 20% throughout every simulation.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
XG Gold Robot
Observed across 100 independent market paths: XG Gold Robot ranked #6 of 10 — 10 wins, $32.83 average profit, 34 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: Temporary equity pressure peaked at 21.84% — elevated, yet recovery generally followed in winning simulations.
Path variation: Results swung sharply between simulations (profit spread $496.65).
GOLD Scalper PRO
Observed across 100 independent market paths: GOLD Scalper PRO ranked #7 of 10 — 9 wins, $49.29 average profit, 29 top-three finishes.
Strategy-family context: Responded to the market conditions present during this simulation with comparatively controlled drawdowns across diverse regimes.
Observed risk across the sample: Downside risk stayed controlled across all simulated market paths.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
BB Return
Observed across 100 independent market paths: BB Return ranked #8 of 10 — 6 wins, $29.14 average profit, 26 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: Average drawdown reached 9.28% with peaks near 20.38%, but recovery completed in most profitable paths.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
XIRO Robot
Observed across 100 independent market paths: XIRO Robot ranked #9 of 10 — 2 wins, $-14.44 average profit, 18 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 29.19%, spread 24.06%), though 42 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $530.08).
Straddle
Observed across 100 independent market paths: Straddle ranked #10 of 10 — 2 wins, $-22.53 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 32.63%, spread 27.63%), though 47 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $518.13).