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 | 17 | 16 | 14 | +$27.28 | 8.34% | View | |
| 2 | 17 | 16 | 10 | +$26.94 | 10.20% | View | |
| 3 | 14 | 14 | 19 | +$25.90 | 9.06% | View | |
| 4 | 13 | 7 | 11 | +$13.57 | 11.06% | View | |
| 5 | 12 | 14 | 7 | $-1.73 | 13.68% | View | |
| 6 | 11 | 15 | 16 | +$12.32 | 11.71% | View | |
| 7 | 10 | 11 | 7 | +$1.63 | 10.72% | View | |
| 8 | 2 | 3 | 7 | $-12.03 | 13.21% | View | |
| 9 | 2 | 3 | 6 | $-18.84 | 13.27% | View | |
| 10 | 2 | 1 | 3 | $-33.97 | 17.06% | 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 — TwisterPro Scalper
While several EAs posted strong individual runs, TwisterPro Scalper led the batch with 17 outright victories and the highest average profit.
Consistent upper-tier rankings — top three in 47 paths — explain why it outpaced more volatile competitors.
Downside stayed controlled throughout the batch — peak drawdown was 15.05% while profitability led the field.
🛡 Most Consistent — Gold Vanguard EA
Gold Vanguard EA showed the most stable profit path across the batch, with smaller swings between individual market scenarios.
It stayed profitable in 82 of 100 scenarios and placed top-three 47 times — steady without needing to dominate every run.
It rarely finished first (14 wins), trading peak performance for repeatability.
⚖ Best Risk-Adjusted Performance — TwisterPro Scalper
TwisterPro Scalper achieved the best risk-adjusted performance in this batch — $27.28 average profit against 8.34% average drawdown.
It generated meaningful upside without proportionally large equity swings — efficient capital use across 100 independent paths.
Its strong average return was achieved without proportionally high drawdown, giving it the most attractive risk-adjusted result in the batch.
⚠ Highest Drawdown Variability — Spider Gold
No other EA matched the drawdown dispersion of Spider Gold, making it the most path-dependent in this test.
Market paths that favoured other strategy types repeatedly punished this design.
Even its best run ($81.57) 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.
TwisterPro Scalper
Observed across 100 independent market paths: TwisterPro Scalper ranked first overall with 17 simulation wins and the highest average return at $27.28.
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 Scalper PRO
Observed across 100 independent market paths: GOLD Scalper PRO finished second with 17 wins and an average return of $26.94 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: Extended adverse movement drove drawdowns toward 23.25%, 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 took third place (14 wins, $25.90 average) and stayed competitive in 47 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: Temporary equity pressure peaked at 20.94% — elevated, yet recovery generally followed in winning simulations.
Path variation: Results swung sharply between simulations (profit spread $140.50).
Byrdi
Observed across 100 independent market paths: Byrdi landed in the upper half at rank #4, posting 13 wins and $13.57 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 39.06%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
GoldSpire
Observed across 100 independent market paths: GoldSpire landed in the upper half at rank #5, posting 12 wins and $-1.73 average profit.
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 50.25% 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.
Ultimate Breakout System
Observed across 100 independent market paths: Ultimate Breakout System ranked #6 of 10 — 11 wins, $12.32 average profit, 42 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 41.62%, spread 35.99%), though 68 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $189.87).
SuperScalp Gold
Observed across 100 independent market paths: SuperScalp Gold ranked #7 of 10 — 10 wins, $1.63 average profit, 28 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 31.88% 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 Snap
Observed across 100 independent market paths: Gold Snap ranked #8 of 10 — 2 wins, $-12.03 average profit, 12 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 40.19% 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.
Spider Gold
Observed across 100 independent market paths: Spider Gold ranked #9 of 10 — 2 wins, $-18.84 average profit, 11 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 46.40% 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 Sniper Ravex Algo
Observed across 100 independent market paths: Gold Sniper Ravex Algo ranked #10 of 10 — 2 wins, $-33.97 average profit, 6 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 39.86%, spread 35.54%), though 22 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $154.91).