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 | 35 | 5 | 0 | +$4.66 | 9.47% | View | |
| 2 | 20 | 10 | 7 | +$12.41 | 7.19% | View | |
| 3 | 13 | 11 | 11 | +$8.81 | 7.76% | View | |
| 4 | 7 | 11 | 16 | $-16.03 | 9.29% | View | |
| 5 | 7 | 4 | 9 | $-41.56 | 10.51% | View | |
| 6 | 5 | 10 | 14 | $-13.30 | 8.56% | View | |
| 7 | 4 | 8 | 8 | $-11.08 | 7.70% | View | |
| 8 | 4 | 13 | 10 | $-27.10 | 9.80% | View | |
| 9 | 3 | 11 | 14 | $-21.81 | 8.21% | View | |
| 10 | 2 | 17 | 11 | $-25.31 | 9.67% | 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 $4.66.
Strong alignment with trending and volatile phases allowed it to stay near the front across 40 top-three finishes.
Downside stayed controlled throughout the batch — peak drawdown was 42.03% while profitability led the field.
🛡 Most Consistent — Adaptive Gold Scalper
Profit outcomes clustered more tightly for Adaptive Gold Scalper than for any other EA in this test.
Consistent mid-to-upper rankings reflected an ability to adapt when regimes shifted, not just excel in one market type.
It balanced repeatability with 20 outright wins — competitive without being the most aggressive in the batch.
⚖ Best Risk-Adjusted Performance — Adaptive Gold Scalper
Profit of $12.41 per unit of average drawdown (7.19%) ranked highest among all tested systems.
Peers with similar profits often accepted higher average drawdowns; this EA did not.
It may not have won the most simulations (20 wins), but each unit of drawdown produced more profit than competitors.
⚠ Highest Drawdown Variability — XIRO Robot
Equity swings were widest here — drawdown ranged from 0.00% to 64.52% across 100 simulations.
Market paths that favoured other strategy types repeatedly punished this design.
Even its best run ($129.39) 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.
Scalping Robot Pro
Observed across 100 independent market paths: Scalping Robot Pro ranked first overall with 35 simulation wins and the highest average return at $4.66.
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 42.03% 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.
Adaptive Gold Scalper
Observed across 100 independent market paths: Adaptive Gold Scalper finished second with 20 wins and an average return of $12.41 across 100 paths.
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 23.40% 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 Scalper PRO
Observed across 100 independent market paths: GOLD Scalper PRO took third place (13 wins, $8.81 average) and stayed competitive in 35 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 28.49%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
XG Gold Robot
Observed across 100 independent market paths: XG Gold Robot landed in the upper half at rank #4, posting 7 wins and $-16.03 average profit.
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 48.68%, spread 48.68%), though 51 of 100 paths still finished profitable.
Path variation: Only 7 outright wins, but frequently stayed within reach of the leaders.
Gold Trade Pro
Observed across 100 independent market paths: Gold Trade Pro landed in the upper half at rank #5, posting 7 wins and $-41.56 average profit.
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 42.51%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
The Gold Reaper
Observed across 100 independent market paths: The Gold Reaper ranked #6 of 10 — 5 wins, $-13.30 average profit, 29 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 43.39%, spread 43.39%), though 53 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $445.02).
Straddle
Observed across 100 independent market paths: Straddle ranked #7 of 10 — 4 wins, $-11.08 average profit, 20 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 55.24%, spread 55.24%), though 51 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $528.01).
Gold Zilla AI
Observed across 100 independent market paths: Gold Zilla AI ranked #8 of 10 — 4 wins, $-27.10 average profit, 27 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 29.97%, 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 ranked #9 of 10 — 3 wins, $-21.81 average profit, 28 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 64.52%, spread 64.52%), though 46 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $614.74).
BB Return
Observed across 100 independent market paths: BB Return ranked #10 of 10 — 2 wins, $-25.31 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 34.94%, spread 34.80%), though 46 of 100 paths still finished profitable.
Path variation: Only 2 outright wins, but frequently stayed within reach of the leaders.