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 | 30 | 10 | 7 | +$107.11 | 9.43% | View | |
| 2 | 15 | 14 | 9 | +$67.70 | 8.88% | View | |
| 3 | 15 | 9 | 9 | +$46.28 | 9.29% | View | |
| 4 | 14 | 6 | 8 | +$48.96 | 8.28% | View | |
| 5 | 9 | 11 | 15 | +$45.04 | 9.31% | View | |
| 6 | 8 | 14 | 13 | +$66.17 | 8.25% | View | |
| 7 | 5 | 9 | 13 | +$31.50 | 8.84% | View | |
| 8 | 4 | 11 | 10 | +$52.19 | 7.99% | View | |
| 9 | 0 | 13 | 6 | +$3.29 | 9.67% | View | |
| 10 | 0 | 3 | 10 | $-25.43 | 10.83% | 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 $107.11.
Strong alignment with trending and volatile phases allowed it to stay near the front across 47 top-three finishes.
Downside stayed controlled throughout the batch — peak drawdown was 22.47% while profitability led the field.
🛡 Most Consistent — GOLD Scalper PRO
GOLD Scalper PRO produced the lowest variation in profitability between simulations (spread $323.66, std. dev. $84.10).
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 — Scalping Robot Pro
Profit of $107.11 per unit of average drawdown (9.43%) ranked highest among all tested systems.
Peers with similar profits often accepted higher average drawdowns; this EA did not.
Its strong average return was achieved without proportionally high drawdown, giving it the most attractive risk-adjusted result in the batch.
⚠ Highest Drawdown Variability — Straddle
Equity swings were widest here — drawdown ranged from 3.50% to 28.35% across 100 simulations.
Market paths that favoured other strategy types repeatedly punished this design.
Even its best run ($172.52) 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 30 simulation wins and the highest average return at $107.11.
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 22.47% 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.
The Gold Reaper
Observed across 100 independent market paths: The Gold Reaper finished second with 15 wins and an average return of $67.70 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: Capital preservation remained strong — none of the simulations exceeded a 20% drawdown threshold.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
BB Return
Observed across 100 independent market paths: BB Return took third place (15 wins, $46.28 average) and stayed competitive in 33 simulations.
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 26.61%, spread 22.37%), though 60 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $599.24).
XG Gold Robot
Observed across 100 independent market paths: XG Gold Robot landed in the upper half at rank #4, posting 14 wins and $48.96 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: Temporary equity pressure peaked at 20.60% — elevated, yet recovery generally followed in winning simulations.
Path variation: Results swung sharply between simulations (profit spread $437.43).
Gold Zilla AI
Observed across 100 independent market paths: Gold Zilla AI landed in the upper half at rank #5, posting 9 wins and $45.04 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 24.26%, exposing sensitivity to sustained hostile regimes.
Path variation: Only 9 outright wins, but frequently stayed within reach of the leaders.
Adaptive Gold Scalper
Observed across 100 independent market paths: Adaptive Gold Scalper ranked #6 of 10 — 8 wins, $66.17 average profit, 35 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: Severe equity declines were avoided in every simulation, with peak drawdown remaining under 20%.
Path variation: Only 8 outright wins, but frequently stayed within reach of the leaders.
XIRO Robot
Observed across 100 independent market paths: XIRO Robot ranked #7 of 10 — 5 wins, $31.50 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 25.34%, spread 21.08%), though 59 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $469.30).
GOLD Scalper PRO
Observed across 100 independent market paths: GOLD Scalper PRO ranked #8 of 10 — 4 wins, $52.19 average profit, 25 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.
Gold Trade Pro
Observed across 100 independent market paths: Gold Trade Pro ranked #9 of 10 — 0 wins, $3.29 average profit, 19 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 9.67% with peaks near 20.04%, but recovery completed in most profitable paths.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
Straddle
Observed across 100 independent market paths: Straddle ranked #10 of 10 — 0 wins, $-25.43 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 28.35%, spread 24.85%), though 46 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $438.56).