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 | 40 | 4 | 2 | $-0.60 | 10.73% | View | |
| 2 | 19 | 16 | 3 | +$24.01 | 6.78% | View | |
| 3 | 15 | 17 | 8 | +$28.10 | 6.04% | View | |
| 4 | 5 | 10 | 7 | +$8.57 | 7.13% | View | |
| 5 | 5 | 7 | 19 | +$8.31 | 8.09% | View | |
| 6 | 4 | 13 | 13 | $-16.45 | 10.23% | View | |
| 7 | 4 | 4 | 11 | $-24.87 | 8.70% | View | |
| 8 | 3 | 13 | 15 | +$7.22 | 8.11% | View | |
| 9 | 3 | 9 | 14 | $-24.74 | 10.16% | View | |
| 10 | 2 | 7 | 8 | $-37.09 | 9.68% | 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
Scalping Robot Pro separated itself from the field by combining frequent wins with an average return of $-0.60.
Strong alignment with trending and volatile phases allowed it to stay near the front across 46 top-three finishes.
Downside stayed controlled throughout the batch — peak drawdown was 52.44% while profitability led the field.
🛡 Most Consistent — GOLD Scalper PRO
GOLD Scalper PRO produced the lowest variation in profitability between simulations (spread $385.77, std. dev. $113.59).
Rather than relying on a few exceptional runs, it maintained competitive performance across a wide variety of market conditions.
It balanced repeatability with 15 outright wins — competitive without being the most aggressive in the batch.
⚖ Best Risk-Adjusted Performance — GOLD Scalper PRO
GOLD Scalper PRO achieved the best risk-adjusted performance in this batch — $28.10 average profit against 6.04% 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 — XG Gold Robot
Equity swings were widest here — drawdown ranged from 0.14% to 60.53% 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.
Scalping Robot Pro
Observed across 100 independent market paths: Scalping Robot Pro ranked first overall with 40 simulation wins and the highest average return at $-0.60.
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 52.44% when trends ran without sufficient recovery — a defining risk characteristic of this batch.
Path variation: Finished first in 40 of 100 simulations — the most frequent winner in this batch.
Orion Gold Scalper
Observed across 100 independent market paths: Orion Gold Scalper finished second with 19 wins and an average return of $24.01 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 21.75%, spread 21.75%), though 59 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $389.64).
GOLD Scalper PRO
Observed across 100 independent market paths: GOLD Scalper PRO took third place (15 wins, $28.10 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: Extended adverse movement drove drawdowns toward 21.33%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
XIRO Robot
Observed across 100 independent market paths: XIRO Robot landed in the upper half at rank #4, posting 5 wins and $8.57 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 31.62%, spread 31.62%), though 59 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $434.65).
The Gold Reaper
Observed across 100 independent market paths: The Gold Reaper landed in the upper half at rank #5, posting 5 wins and $8.31 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 36.15%, spread 36.15%), though 60 of 100 paths still finished profitable.
Path variation: Only 5 outright wins, but frequently stayed within reach of the leaders.
XG Gold Robot
Observed across 100 independent market paths: XG Gold Robot ranked #6 of 10 — 4 wins, $-16.45 average profit, 30 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 60.53%, spread 60.39%), though 59 of 100 paths still finished profitable.
Path variation: Only 4 outright wins, but frequently stayed within reach of the leaders.
Gold Trade Pro
Observed across 100 independent market paths: Gold Trade Pro ranked #7 of 10 — 4 wins, $-24.87 average profit, 19 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 34.87%, exposing sensitivity to sustained hostile regimes.
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 — 3 wins, $7.22 average profit, 31 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 34.48%, spread 34.48%), though 61 of 100 paths still finished profitable.
Path variation: Only 3 outright wins, but frequently stayed within reach of the leaders.
Gold Zilla AI
Observed across 100 independent market paths: Gold Zilla AI ranked #9 of 10 — 3 wins, $-24.74 average profit, 26 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 44.32%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
Straddle
Observed across 100 independent market paths: Straddle ranked #10 of 10 — 2 wins, $-37.09 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 47.31%, spread 47.31%), though 43 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $493.35).