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 | 27 | 22 | 6 | +$78.60 | 8.87% | View | |
| 2 | 23 | 9 | 17 | +$49.50 | 8.36% | View | |
| 3 | 22 | 18 | 20 | +$78.07 | 7.48% | View | |
| 4 | 9 | 12 | 19 | +$32.33 | 8.77% | View | |
| 5 | 9 | 5 | 11 | $-36.40 | 11.22% | View | |
| 6 | 7 | 15 | 8 | +$4.84 | 8.66% | View | |
| 7 | 2 | 7 | 4 | $-1.94 | 9.10% | View | |
| 8 | 1 | 3 | 3 | $-30.64 | 9.46% | View | |
| 9 | 0 | 6 | 6 | $-20.37 | 9.07% | View | |
| 10 | 0 | 3 | 6 | $-45.16 | 10.44% | 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 — AurumEdge Scalper Pro
While several EAs posted strong individual runs, AurumEdge Scalper Pro led the batch with 27 outright victories and the highest average profit.
Consistent upper-tier rankings — top three in 55 paths — explain why it outpaced more volatile competitors.
Average drawdown remained contained at 8.87%, supporting a favourable balance between profitability and capital stress.
🛡 Most Consistent — Luna AI Pro
Luna AI Pro produced the lowest variation in profitability between simulations (spread $398.92, std. dev. $77.68).
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 — TwisterPro Scalper
TwisterPro Scalper achieved the best risk-adjusted performance in this batch — $78.07 average profit against 7.48% average drawdown.
It generated meaningful upside without proportionally large equity swings — efficient capital use across 100 independent paths.
It may not have won the most simulations (22 wins), but each unit of drawdown produced more profit than competitors.
⚠ Highest Drawdown Variability — Quantum iGold
Quantum iGold showed the largest variation in drawdown across the batch (22.41% spread, peak 26.50%).
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.
AurumEdge Scalper Pro
Observed across 100 independent market paths: AurumEdge Scalper Pro ranked first overall with 27 simulation wins and the highest average return at $78.60.
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 8.87% with peaks near 20.21%, but recovery completed in most profitable 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 23 wins and an average return of $49.50 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: Downside risk stayed controlled across all simulated market paths.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
TwisterPro Scalper
Observed across 100 independent market paths: TwisterPro Scalper took third place (22 wins, $78.07 average) and stayed competitive in 60 simulations.
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.
TNG Gold
Observed across 100 independent market paths: TNG Gold landed in the upper half at rank #4, posting 9 wins and $32.33 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 9 outright wins, but frequently stayed within reach of the leaders.
Quantum iGold
Observed across 100 independent market paths: Quantum iGold landed in the upper half at rank #5, posting 9 wins and $-36.40 average profit.
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 26.50%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
The Buster XAU Single Entry
Observed across 100 independent market paths: The Buster XAU Single Entry ranked #6 of 10 — 7 wins, $4.84 average profit, 30 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 20.28%, spread 18.06%), though 52 of 100 paths still finished profitable.
Path variation: Only 7 outright wins, but frequently stayed within reach of the leaders.
SuperScalp Gold
Observed across 100 independent market paths: SuperScalp Gold ranked #7 of 10 — 2 wins, $-1.94 average profit, 13 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: Severe equity declines were avoided in every simulation, with peak drawdown remaining under 20%.
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 #8 of 10 — 1 wins, $-30.64 average profit, 7 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 25.36%, exposing sensitivity to sustained hostile regimes.
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 — 0 wins, $-20.37 average profit, 12 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 9.07%, peak 20.02%) 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 #10 of 10 — 0 wins, $-45.16 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 24.85% 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.