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 | 28 | 16 | 11 | +$71.03 | 9.14% | View | |
| 2 | 21 | 15 | 16 | +$67.05 | 7.90% | View | |
| 3 | 14 | 12 | 12 | +$28.77 | 8.25% | View | |
| 4 | 13 | 9 | 9 | $-1.35 | 10.32% | View | |
| 5 | 12 | 9 | 19 | +$40.51 | 8.86% | View | |
| 6 | 7 | 11 | 10 | $-4.57 | 8.88% | View | |
| 7 | 3 | 8 | 10 | $-77.05 | 14.23% | View | |
| 8 | 2 | 9 | 7 | $-63.26 | 13.84% | View | |
| 9 | 0 | 6 | 4 | $-46.10 | 11.00% | View | |
| 10 | 0 | 5 | 2 | $-74.63 | 12.66% | 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 — Gold Zilla AI
While several EAs posted strong individual runs, Gold Zilla AI led the batch with 28 outright victories and the highest average profit.
Consistent upper-tier rankings — top three in 55 paths — explain why it outpaced more volatile competitors.
Downside stayed controlled throughout the batch — peak drawdown was 25.36% while profitability led the field.
🛡 Most Consistent — TNG Gold
Profit outcomes clustered more tightly for TNG Gold 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 — Prisma
Profit of $67.05 per unit of average drawdown (7.90%) ranked highest among all tested systems.
Peers with similar profits often accepted higher average drawdowns; this EA did not.
Maximum upside was moderate compared with the batch winner, yet the profit-to-drawdown trade-off was the most attractive.
⚠ Highest Drawdown Variability — Prime Execution AI EA
Equity swings were widest here — drawdown ranged from 4.12% to 48.82% across 100 simulations.
Market paths that favoured other strategy types repeatedly punished this design.
Even its best run ($197.70) did not offset how widely drawdown outcomes diverged across paths.
Simulation Analysis by Expert Advisor
Observed across 100 independent market paths. Strategy-family context is explanatory, not a forecast.
Gold Zilla AI
Observed across 100 independent market paths: Gold Zilla AI ranked first overall with 28 simulation wins and the highest average return at $71.03.
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 25.36%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
Prisma
Observed across 100 independent market paths: Prisma finished second with 21 wins and an average return of $67.05 across 100 paths.
Strategy-family context: Responded to the market conditions present during this simulation, producing positive average returns despite uneven paths.
Observed risk across the sample: Downside risk remained moderate. Maximum drawdown stayed below 20% throughout every simulation.
Path variation: Performance depended heavily on which market path appeared — strong in some, weak in others.
The Buster XAU Single Entry
Observed across 100 independent market paths: The Buster XAU Single Entry took third place (14 wins, $28.77 average) and stayed competitive in 38 simulations.
Strategy-family context: Responded to the market conditions present during this simulation with comparatively controlled drawdowns across diverse regimes.
Observed risk across the sample: Capital preservation remained strong — none of the simulations exceeded a 20% drawdown threshold.
Path variation: Results swung sharply between simulations (profit spread $354.51).
Helios Gold AI
Observed across 100 independent market paths: Helios Gold AI landed in the upper half at rank #4, posting 13 wins and $-1.35 average profit.
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 30.48%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
TNG Gold
Observed across 100 independent market paths: TNG Gold landed in the upper half at rank #5, posting 12 wins and $40.51 average profit.
Strategy-family context: Responded to the market conditions present during this simulation, producing positive average returns despite uneven paths.
Observed risk across the sample: Drawdown averaged 8.86% with wider peaks, acceptable given net profitability across the batch.
Path variation: Performance depended heavily on which market path appeared — strong in some, weak in others.
Mosquito
Observed across 100 independent market paths: Mosquito ranked #6 of 10 — 7 wins, $-4.57 average profit, 28 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 25.06% 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 Sniper Ravex Algo
Observed across 100 independent market paths: Gold Sniper Ravex Algo ranked #7 of 10 — 3 wins, $-77.05 average profit, 21 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 36.80%, spread 30.38%), though 29 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $492.65).
Prime Execution AI EA
Observed across 100 independent market paths: Prime Execution AI EA ranked #8 of 10 — 2 wins, $-63.26 average profit, 18 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 48.82%, spread 44.70%), though 31 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $519.00).
Mavrik Scalper
Observed across 100 independent market paths: Mavrik Scalper ranked #9 of 10 — 0 wins, $-46.10 average profit, 10 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 25.61%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
Wave Rider EA
Observed across 100 independent market paths: Wave Rider EA ranked #10 of 10 — 0 wins, $-74.63 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 34.91% 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.