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 | 25 | 17 | 17 | +$84.10 | 7.46% | View | |
| 2 | 22 | 11 | 11 | +$45.72 | 8.43% | View | |
| 3 | 22 | 6 | 11 | +$18.15 | 10.99% | View | |
| 4 | 11 | 17 | 6 | +$46.87 | 9.34% | View | |
| 5 | 8 | 7 | 10 | $-4.35 | 10.83% | View | |
| 6 | 5 | 11 | 11 | +$20.57 | 8.72% | View | |
| 7 | 3 | 5 | 9 | +$2.59 | 8.81% | View | |
| 8 | 2 | 9 | 6 | $-2.76 | 8.84% | View | |
| 9 | 2 | 9 | 8 | $-15.51 | 9.74% | View | |
| 10 | 0 | 8 | 11 | $-24.85 | 9.79% | 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 25 outright victories and the highest average profit.
Consistent upper-tier rankings — top three in 59 paths — explain why it outpaced more volatile competitors.
Downside stayed controlled throughout the batch — peak drawdown was 16.71% while profitability led the field.
🛡 Most Consistent — TNG Gold
Profit outcomes clustered more tightly for TNG Gold 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.
This consistency came at the cost of fewer outright wins than more aggressive competitors.
⚖ Best Risk-Adjusted Performance — TwisterPro Scalper
TwisterPro Scalper achieved the best risk-adjusted performance in this batch — $84.10 average profit against 7.46% 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 — Scalping Robot Pro
Scalping Robot Pro showed the largest variation in drawdown across the batch (23.20% spread, peak 28.34%).
Market paths that favoured other strategy types repeatedly punished this design.
When volatility aligned, it occasionally produced some of the strongest individual simulation results (best run $297.43).
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 25 simulation wins and the highest average return at $84.10.
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.
EA Gold Stuff
Observed across 100 independent market paths: EA Gold Stuff finished second with 22 wins and an average return of $45.72 across 100 paths.
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 21.75% — elevated, yet recovery generally followed in winning simulations.
Path variation: Results swung sharply between simulations (profit spread $488.45).
Scalping Robot Pro
Observed across 100 independent market paths: Scalping Robot Pro took third place (22 wins, $18.15 average) and stayed competitive in 39 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 28.34%, 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 landed in the upper half at rank #4, posting 11 wins and $46.87 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 25.56%, spread 19.48%), though 65 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $490.27).
Ultimate Breakout System
Observed across 100 independent market paths: Ultimate Breakout System landed in the upper half at rank #5, posting 8 wins and $-4.35 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: Peak drawdown of 21.10% coincided with weak recovery — risk outweighed reward in many paths.
Path variation: Results swung sharply between simulations (profit spread $470.32).
TNG Gold
Observed across 100 independent market paths: TNG Gold ranked #6 of 10 — 5 wins, $20.57 average profit, 27 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: 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 — 3 wins, $2.59 average profit, 17 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 $320.51).
Mavrik Scalper
Observed across 100 independent market paths: Mavrik Scalper ranked #8 of 10 — 2 wins, $-2.76 average profit, 17 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 8.84%, peak 21.95%) and recovery was inconsistent.
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 #9 of 10 — 2 wins, $-15.51 average profit, 19 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 26.04% 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.
Luna AI Pro
Observed across 100 independent market paths: Luna AI Pro ranked #10 of 10 — 0 wins, $-24.85 average profit, 19 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 24.81%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.