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 | 29 | 4 | 7 | $-8.14 | 14.33% | View | |
| 2 | 16 | 17 | 9 | +$11.60 | 9.42% | View | |
| 3 | 14 | 19 | 15 | +$16.72 | 8.48% | View | |
| 4 | 12 | 17 | 6 | +$10.62 | 9.99% | View | |
| 5 | 12 | 6 | 14 | $-0.40 | 9.80% | View | |
| 6 | 10 | 18 | 4 | +$6.73 | 9.20% | View | |
| 7 | 4 | 0 | 11 | $-9.82 | 7.81% | View | |
| 8 | 2 | 10 | 9 | $-7.11 | 13.16% | View | |
| 9 | 1 | 5 | 18 | $-5.20 | 11.82% | View | |
| 10 | 0 | 4 | 7 | $-22.08 | 13.41% | 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 $-8.14.
Strong alignment with trending and volatile phases allowed it to stay near the front across 40 top-three finishes.
Downside stayed controlled throughout the batch — peak drawdown was 81.18% 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 — Adaptive Gold Scalper
Profit of $16.72 per unit of average drawdown (8.48%) ranked highest among all tested systems.
Peers with similar profits often accepted higher average drawdowns; this EA did not.
It may not have won the most simulations (14 wins), but each unit of drawdown produced more profit than competitors.
⚠ Highest Drawdown Variability — TwisterPro Scalper
TwisterPro Scalper showed the largest variation in drawdown across the batch (88.89% spread, peak 89.88%).
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 29 simulation wins and the highest average return at $-8.14.
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 81.18% 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.
TwisterPro Scalper
Observed across 100 independent market paths: TwisterPro Scalper finished second with 16 wins and an average return of $11.60 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 89.88%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
Adaptive Gold Scalper
Observed across 100 independent market paths: Adaptive Gold Scalper took third place (14 wins, $16.72 average) and stayed competitive in 48 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 34.63% 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 landed in the upper half at rank #4, posting 12 wins and $10.62 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 86.71%, spread 84.28%), though 62 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $128.11).
SuperScalp Gold
Observed across 100 independent market paths: SuperScalp Gold landed in the upper half at rank #5, posting 12 wins and $-0.40 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 38.41% 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 #6 of 10 — 10 wins, $6.73 average profit, 32 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: Extended adverse movement drove drawdowns toward 46.41%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
Spider Gold
Observed across 100 independent market paths: Spider Gold ranked #7 of 10 — 4 wins, $-9.82 average profit, 15 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 65.86% 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.
Byrdi
Observed across 100 independent market paths: Byrdi ranked #8 of 10 — 2 wins, $-7.11 average profit, 21 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 55.04%, 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 #9 of 10 — 1 wins, $-5.20 average profit, 24 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 38.99%, spread 35.27%), though 53 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $139.84).
Gold Snap
Observed across 100 independent market paths: Gold Snap ranked #10 of 10 — 0 wins, $-22.08 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 45.54% 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.