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 | 20 | 11 | 4 | +$9.36 | 12.22% | View | |
| 2 | 19 | 14 | 14 | +$31.69 | 8.09% | View | |
| 3 | 17 | 11 | 16 | +$19.64 | 10.17% | View | |
| 4 | 14 | 17 | 19 | +$28.81 | 9.95% | View | |
| 5 | 11 | 15 | 10 | +$18.04 | 9.69% | View | |
| 6 | 10 | 15 | 8 | +$15.95 | 10.58% | View | |
| 7 | 4 | 7 | 8 | +$10.69 | 9.60% | View | |
| 8 | 3 | 1 | 8 | $-13.85 | 12.33% | View | |
| 9 | 2 | 8 | 9 | $-2.25 | 10.62% | View | |
| 10 | 0 | 1 | 4 | $-24.20 | 14.84% | 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 — GoldSpire
GoldSpire separated itself from the field by combining frequent wins with an average return of $9.36.
Strong alignment with trending and volatile phases allowed it to stay near the front across 35 top-three finishes.
Downside stayed controlled throughout the batch — peak drawdown was 46.14% while profitability led the field.
🛡 Most Consistent — GOLD Scalper PRO
GOLD Scalper PRO produced the lowest variation in profitability between simulations (spread $128.23, std. dev. $28.60).
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 — $31.69 average profit against 8.09% 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 (19 wins), but each unit of drawdown produced more profit than competitors.
⚠ Highest Drawdown Variability — GoldSpire
No other EA matched the drawdown dispersion of GoldSpire, making it the most path-dependent in this test.
Hostile regime combinations — trend reversals, volatility spikes, or range extensions — hit this strategy harder than peers.
Favourable paths still delivered standout peaks — the trade-off is higher drawdown variability, not absence of upside.
Simulation Analysis by Expert Advisor
Observed across 100 independent market paths. Strategy-family context is explanatory, not a forecast.
GoldSpire
Observed across 100 independent market paths: GoldSpire ranked first overall with 20 simulation wins and the highest average return at $9.36.
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 46.14% 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.
TwisterPro Scalper
Observed across 100 independent market paths: TwisterPro Scalper finished second with 19 wins and an average return of $31.69 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: High path sensitivity produced wide outcome dispersion across the batch.
Byrdi
Observed across 100 independent market paths: Byrdi took third place (17 wins, $19.64 average) and stayed competitive in 44 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 29.34%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
GOLD Scalper PRO
Observed across 100 independent market paths: GOLD Scalper PRO landed in the upper half at rank #4, posting 14 wins and $28.81 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: Downside risk stayed controlled across all simulated market paths.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
Smart Gold Hunter
Observed across 100 independent market paths: Smart Gold Hunter landed in the upper half at rank #5, posting 11 wins and $18.04 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 26.75%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
Ultimate Breakout System
Observed across 100 independent market paths: Ultimate Breakout System ranked #6 of 10 — 10 wins, $15.95 average profit, 33 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 28.13%, spread 21.83%), though 62 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $178.92).
TNG Gold
Observed across 100 independent market paths: TNG Gold ranked #7 of 10 — 4 wins, $10.69 average profit, 19 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 30.70% 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 #8 of 10 — 3 wins, $-13.85 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 32.32% 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.
SuperScalp Gold
Observed across 100 independent market paths: SuperScalp Gold ranked #9 of 10 — 2 wins, $-2.25 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 30.42% 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.
Prop Firm Gold EA
Observed across 100 independent market paths: Prop Firm Gold EA ranked #10 of 10 — 0 wins, $-24.20 average profit, 5 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 38.48%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.