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 | 9 | 5 | +$70.57 | 9.93% | View | |
| 2 | 24 | 16 | 13 | +$79.88 | 9.03% | View | |
| 3 | 11 | 18 | 20 | +$62.97 | 7.81% | View | |
| 4 | 8 | 15 | 9 | +$50.17 | 8.67% | View | |
| 5 | 7 | 12 | 13 | +$15.71 | 9.21% | View | |
| 6 | 6 | 5 | 10 | +$6.94 | 8.43% | View | |
| 7 | 4 | 12 | 11 | +$3.68 | 10.48% | View | |
| 8 | 3 | 5 | 8 | $-8.44 | 8.98% | View | |
| 9 | 2 | 5 | 4 | $-20.55 | 10.33% | View | |
| 10 | 0 | 3 | 7 | $-37.18 | 9.77% | 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 35 outright victories and the highest average profit.
Consistent upper-tier rankings — top three in 49 paths — explain why it outpaced more volatile competitors.
Average drawdown remained contained at 9.93%, 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 57 of 100 scenarios and placed top-three 21 times — steady without needing to dominate every run.
It rarely finished first (6 wins), trading peak performance for repeatability.
⚖ Best Risk-Adjusted Performance — Gold Vanguard EA
With a profit-to-drawdown ratio of 8.8, Gold Vanguard EA delivered the strongest return relative to capital stress in this test.
Returns scaled favourably versus drawdown, suggesting conditions aligned with its strategy without excessive recovery pressure.
Maximum upside was moderate compared with the batch winner, yet the profit-to-drawdown trade-off was the most attractive.
⚠ Highest Drawdown Variability — Mavrik Scalper
Mavrik Scalper showed the largest variation in drawdown across the batch (91.14% spread, peak 96.71%).
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 35 simulation wins and the highest average return at $70.57.
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 28.10%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
Gold Vanguard EA
Observed across 100 independent market paths: Gold Vanguard EA finished second with 24 wins and an average return of $79.88 across 100 paths.
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: Results swung sharply between simulations (profit spread $433.55).
TwisterPro Scalper
Observed across 100 independent market paths: TwisterPro Scalper took third place (11 wins, $62.97 average) and stayed competitive in 49 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 7.81% with peaks near 21.46%, but recovery completed in most profitable paths.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
TNG Gold
Observed across 100 independent market paths: TNG Gold landed in the upper half at rank #4, posting 8 wins and $50.17 average profit.
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: Only 8 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 7 wins and $15.71 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 26.60%, spread 26.46%), though 58 of 100 paths still finished profitable.
Path variation: Only 7 outright wins, but frequently stayed within reach of the leaders.
The Buster XAU Single Entry
Observed across 100 independent market paths: The Buster XAU Single Entry ranked #6 of 10 — 6 wins, $6.94 average profit, 21 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 $323.95).
Ultimate Breakout System
Observed across 100 independent market paths: Ultimate Breakout System ranked #7 of 10 — 4 wins, $3.68 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: Temporary equity pressure peaked at 22.39% — elevated, yet recovery generally followed in winning simulations.
Path variation: Results swung sharply between simulations (profit spread $416.10).
Luna AI Pro
Observed across 100 independent market paths: Luna AI Pro ranked #8 of 10 — 3 wins, $-8.44 average profit, 16 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: Drawdown pressure stayed elevated (avg 8.98%, peak 20.45%) and recovery was inconsistent.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
Mavrik Scalper
Observed across 100 independent market paths: Mavrik Scalper ranked #9 of 10 — 2 wins, $-20.55 average profit, 11 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 96.71%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
Wave Rider EA
Observed across 100 independent market paths: Wave Rider EA ranked #10 of 10 — 0 wins, $-37.18 average profit, 10 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: Downside risk stayed controlled across all simulated market paths.
Path variation: Performance depended heavily on which market path appeared — strong in some, weak in others.