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 | 19 | 5 | 4 | $-0.93 | 13.55% | View | |
| 2 | 18 | 15 | 26 | +$37.81 | 8.98% | View | |
| 3 | 16 | 9 | 15 | +$25.51 | 10.42% | View | |
| 4 | 16 | 14 | 5 | +$22.91 | 10.41% | View | |
| 5 | 13 | 12 | 6 | +$14.93 | 10.33% | View | |
| 6 | 11 | 19 | 19 | +$32.74 | 7.97% | View | |
| 7 | 6 | 10 | 9 | +$12.96 | 10.97% | View | |
| 8 | 1 | 8 | 9 | $-0.78 | 10.64% | View | |
| 9 | 0 | 4 | 4 | $-13.05 | 12.50% | View | |
| 10 | 0 | 4 | 3 | $-18.83 | 15.22% | 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 $-0.93.
Strong alignment with trending and volatile phases allowed it to stay near the front across 28 top-three finishes.
Downside stayed controlled throughout the batch — peak drawdown was 49.80% while profitability led the field.
🛡 Most Consistent — Gold Vanguard EA
Gold Vanguard EA showed the most stable profit path across the batch, with smaller swings between individual market scenarios.
It stayed profitable in 93 of 100 scenarios and placed top-three 59 times — steady without needing to dominate every run.
It balanced repeatability with 18 outright wins — competitive without being the most aggressive in the batch.
⚖ Best Risk-Adjusted Performance — Gold Vanguard EA
With a profit-to-drawdown ratio of 4.2, Gold Vanguard EA delivered the strongest return relative to capital stress in this test.
Returns scaled favourably versus drawdown, suggesting conditions aligned with its strategy without excessive recovery pressure.
Maximum upside was moderate compared with the batch winner, yet the profit-to-drawdown trade-off was the most attractive.
⚠ 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 19 simulation wins and the highest average return at $-0.93.
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 49.80% 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 18 wins and an average return of $37.81 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: Severe equity declines were avoided in every simulation, with peak drawdown remaining under 20%.
Path variation: Outcome quality varied widely — the market scenario mattered more than usual.
GOLD Scalper PRO
Observed across 100 independent market paths: GOLD Scalper PRO took third place (16 wins, $25.51 average) and stayed competitive in 40 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 22.75%, exposing sensitivity to sustained hostile regimes.
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 #4, posting 16 wins and $22.91 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 23.83%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
EA Gold Stuff
Observed across 100 independent market paths: EA Gold Stuff landed in the upper half at rank #5, posting 13 wins and $14.93 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 35.82%, spread 30.90%), though 66 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $175.50).
TwisterPro Scalper
Observed across 100 independent market paths: TwisterPro Scalper ranked #6 of 10 — 11 wins, $32.74 average profit, 49 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: Downside risk stayed controlled across all simulated market paths.
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 #7 of 10 — 6 wins, $12.96 average profit, 25 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 25.18%, spread 17.86%), though 65 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $156.39).
SuperScalp Gold
Observed across 100 independent market paths: SuperScalp Gold ranked #8 of 10 — 1 wins, $-0.78 average profit, 18 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 29.04% 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.
Spider Gold
Observed across 100 independent market paths: Spider Gold ranked #9 of 10 — 0 wins, $-13.05 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 39.61% 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 — 0 wins, $-18.83 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 42.23% 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.