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 | 9 | 11 | +$2.74 | 12.47% | View | |
| 2 | 14 | 18 | 11 | +$27.64 | 9.34% | View | |
| 3 | 13 | 21 | 18 | +$33.28 | 10.89% | View | |
| 4 | 13 | 14 | 8 | +$27.56 | 8.21% | View | |
| 5 | 12 | 10 | 11 | +$11.72 | 11.25% | View | |
| 6 | 11 | 4 | 10 | +$0.60 | 10.75% | View | |
| 7 | 9 | 16 | 12 | +$24.45 | 10.21% | View | |
| 8 | 8 | 5 | 10 | +$9.74 | 10.63% | View | |
| 9 | 2 | 3 | 2 | $-16.83 | 13.05% | View | |
| 10 | 1 | 0 | 7 | $-21.20 | 14.41% | 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 $2.74.
Strong alignment with trending and volatile phases allowed it to stay near the front across 37 top-three finishes.
Downside stayed controlled throughout the batch — peak drawdown was 49.83% while profitability led the field.
🛡 Most Consistent — Adaptive Gold Scalper
Profit outcomes clustered more tightly for Adaptive Gold Scalper 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 — $27.56 average profit against 8.21% 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 (13 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 17 simulation wins and the highest average return at $2.74.
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 49.83% 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 Vanguard EA
Observed across 100 independent market paths: Gold Vanguard EA finished second with 14 wins and an average return of $27.64 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 22.23% — elevated, yet recovery generally followed in winning simulations.
Path variation: Results swung sharply between simulations (profit spread $136.00).
Adaptive Gold Scalper
Observed across 100 independent market paths: Adaptive Gold Scalper took third place (13 wins, $33.28 average) and stayed competitive in 52 simulations.
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 27.35% 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 landed in the upper half at rank #4, posting 13 wins and $27.56 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: 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 landed in the upper half at rank #5, posting 12 wins and $11.72 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 37.78%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
SuperScalp Gold
Observed across 100 independent market paths: SuperScalp Gold ranked #6 of 10 — 11 wins, $0.60 average profit, 25 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 40.18% 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 Scalper PRO
Observed across 100 independent market paths: GOLD Scalper PRO ranked #7 of 10 — 9 wins, $24.45 average profit, 37 top-three finishes.
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 10.21% with peaks near 20.13%, but recovery completed in most profitable paths.
Path variation: Only 9 outright wins, but frequently stayed within reach of the leaders.
Ultimate Breakout System
Observed across 100 independent market paths: Ultimate Breakout System ranked #8 of 10 — 8 wins, $9.74 average profit, 23 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 20.14% — elevated, yet recovery generally followed in winning simulations.
Path variation: Results swung sharply between simulations (profit spread $151.35).
Spider Gold
Observed across 100 independent market paths: Spider Gold ranked #9 of 10 — 2 wins, $-16.83 average profit, 7 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 36.08% 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 #10 of 10 — 1 wins, $-21.20 average profit, 8 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 43.13% 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.