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 | 25 | 7 | 5 | $-14.83 | 16.93% | View | |
| 2 | 19 | 13 | 13 | +$13.54 | 8.26% | View | |
| 3 | 19 | 11 | 6 | +$6.51 | 11.28% | View | |
| 4 | 16 | 25 | 6 | +$14.83 | 8.14% | View | |
| 5 | 13 | 10 | 7 | $-0.40 | 10.91% | View | |
| 6 | 3 | 9 | 11 | $-4.36 | 11.50% | View | |
| 7 | 3 | 5 | 12 | $-4.81 | 9.97% | View | |
| 8 | 1 | 8 | 19 | $-6.36 | 12.50% | View | |
| 9 | 1 | 3 | 11 | $-16.28 | 9.78% | View | |
| 10 | 0 | 9 | 10 | $-8.75 | 9.15% | 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 $-14.83.
Strong alignment with trending and volatile phases allowed it to stay near the front across 37 top-three finishes.
Although drawdowns ran deeper on average (16.93%), profitability still led the batch.
🛡 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 63 of 100 scenarios and placed top-three 45 times — steady without needing to dominate every run.
It balanced repeatability with 19 outright wins — competitive without being the most aggressive in the batch.
⚖ Best Risk-Adjusted Performance — TwisterPro Scalper
TwisterPro Scalper achieved the best risk-adjusted performance in this batch — $14.83 average profit against 8.14% 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 (16 wins), but each unit of drawdown produced more profit than competitors.
⚠ Highest Drawdown Variability — SuperScalp Gold
No other EA matched the drawdown dispersion of SuperScalp Gold, 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 25 simulation wins and the highest average return at $-14.83.
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 65.02% 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 19 wins and an average return of $13.54 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: Large equity declines clustered in prolonged one-directional markets (peak 27.80%, spread 23.27%), though 63 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $114.58).
GOLD Scalper PRO
Observed across 100 independent market paths: GOLD Scalper PRO took third place (19 wins, $6.51 average) and stayed competitive in 36 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 87.34%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
TwisterPro Scalper
Observed across 100 independent market paths: TwisterPro Scalper landed in the upper half at rank #4, posting 16 wins and $14.83 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 35.41%, 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 landed in the upper half at rank #5, posting 13 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 100.00% 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 #6 of 10 — 3 wins, $-4.36 average profit, 23 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 68.18%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
Gold Snap
Observed across 100 independent market paths: Gold Snap ranked #7 of 10 — 3 wins, $-4.81 average profit, 20 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 44.32% 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.
Ultimate Breakout System
Observed across 100 independent market paths: Ultimate Breakout System ranked #8 of 10 — 1 wins, $-6.36 average profit, 28 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 62.90%, spread 58.95%), though 51 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $174.27).
Spider Gold
Observed across 100 independent market paths: Spider Gold ranked #9 of 10 — 1 wins, $-16.28 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 38.24% 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.
SwissSniperEA
Observed across 100 independent market paths: SwissSniperEA ranked #10 of 10 — 0 wins, $-8.75 average profit, 19 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 45.87%, spread 45.87%), though 42 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $175.41).