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 | 37 | 7 | 12 | +$95.92 | 10.69% | View | |
| 2 | 23 | 20 | 16 | +$90.54 | 10.31% | View | |
| 3 | 15 | 22 | 13 | +$80.23 | 9.30% | View | |
| 4 | 9 | 9 | 13 | +$33.95 | 11.04% | View | |
| 5 | 6 | 9 | 13 | +$28.47 | 9.88% | View | |
| 6 | 6 | 2 | 1 | $-94.70 | 15.92% | View | |
| 7 | 2 | 12 | 11 | +$18.89 | 10.02% | View | |
| 8 | 1 | 11 | 13 | +$4.57 | 9.91% | View | |
| 9 | 1 | 4 | 3 | $-45.89 | 11.46% | View | |
| 10 | 0 | 4 | 5 | $-63.68 | 13.06% | 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 37 outright victories and the highest average profit.
Consistent upper-tier rankings — top three in 56 paths — explain why it outpaced more volatile competitors.
Average drawdown remained contained at 10.69%, supporting a favourable balance between profitability and capital stress.
🛡 Most Consistent — The Buster XAU Single Entry
The Buster XAU Single Entry showed the most stable profit path across the batch, with smaller swings between individual market scenarios.
It stayed profitable in 54 of 100 scenarios and placed top-three 25 times — steady without needing to dominate every run.
It rarely finished first (2 wins), trading peak performance for repeatability.
⚖ Best Risk-Adjusted Performance — Scalping Robot Pro
Scalping Robot Pro achieved the best risk-adjusted performance in this batch — $95.92 average profit against 10.69% average drawdown.
It generated meaningful upside without proportionally large equity swings — efficient capital use across 100 independent paths.
It combined the batch's highest average profit with comparatively low average drawdown, producing the strongest profit-to-drawdown trade-off.
⚠ Highest Drawdown Variability — Mavrik Scalper
Mavrik Scalper showed the largest variation in drawdown across the batch (37.79% spread, peak 38.84%).
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 37 simulation wins and the highest average return at $95.92.
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 10.69% with peaks near 23.66%, but recovery completed in most profitable paths.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
Gold Zilla AI
Observed across 100 independent market paths: Gold Zilla AI finished second with 23 wins and an average return of $90.54 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: Average drawdown reached 10.31% with peaks near 20.25%, but recovery completed in most profitable paths.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
Prisma
Observed across 100 independent market paths: Prisma took third place (15 wins, $80.23 average) and stayed competitive in 50 simulations.
Strategy-family context: Responded to the market conditions present during this simulation, producing positive average returns despite uneven paths.
Observed risk across the sample: Drawdown averaged 9.30% with wider peaks, acceptable given net profitability across the batch.
Path variation: Performance depended heavily on which market path appeared — strong in some, weak in others.
Ultimate Breakout System
Observed across 100 independent market paths: Ultimate Breakout System landed in the upper half at rank #4, posting 9 wins and $33.95 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: Downside risk remained moderate. Maximum drawdown stayed below 20% throughout every simulation.
Path variation: Only 9 outright wins, but frequently stayed within reach of the leaders.
EA Gold Stuff
Observed across 100 independent market paths: EA Gold Stuff landed in the upper half at rank #5, posting 6 wins and $28.47 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 28.00%, spread 23.65%), though 63 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $482.16).
ArtQuant Gold
Observed across 100 independent market paths: ArtQuant Gold ranked #6 of 10 — 6 wins, $-94.70 average profit, 9 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 40.44% 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 Buster XAU Single Entry
Observed across 100 independent market paths: The Buster XAU Single Entry ranked #7 of 10 — 2 wins, $18.89 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: Capital preservation remained strong — none of the simulations exceeded a 20% drawdown threshold.
Path variation: Results swung sharply between simulations (profit spread $298.11).
Mosquito
Observed across 100 independent market paths: Mosquito ranked #8 of 10 — 1 wins, $4.57 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 27.50% 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.
Mavrik Scalper
Observed across 100 independent market paths: Mavrik Scalper ranked #9 of 10 — 1 wins, $-45.89 average profit, 8 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 38.84%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
Prime Execution AI EA
Observed across 100 independent market paths: Prime Execution AI EA ranked #10 of 10 — 0 wins, $-63.68 average profit, 9 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 28.39%, spread 27.93%), though 31 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $423.53).