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 | 27 | 14 | 10 | +$68.62 | 8.99% | View | |
| 2 | 16 | 20 | 11 | +$56.85 | 8.39% | View | |
| 3 | 13 | 15 | 15 | +$39.66 | 8.55% | View | |
| 4 | 9 | 12 | 11 | +$35.96 | 8.82% | View | |
| 5 | 9 | 10 | 10 | +$1.15 | 8.50% | View | |
| 6 | 9 | 8 | 7 | $-1.16 | 9.83% | View | |
| 7 | 7 | 11 | 15 | +$21.43 | 8.59% | View | |
| 8 | 6 | 7 | 12 | $-44.38 | 12.56% | View | |
| 9 | 2 | 3 | 7 | $-37.18 | 10.53% | View | |
| 10 | 2 | 0 | 2 | $-78.53 | 12.37% | 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 27 outright victories and the highest average profit.
Consistent upper-tier rankings — top three in 51 paths — explain why it outpaced more volatile competitors.
Downside stayed controlled throughout the batch — peak drawdown was 22.07% 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 — Gold Zilla AI
Gold Zilla AI achieved the best risk-adjusted performance in this batch — $68.62 average profit against 8.99% average drawdown.
It generated meaningful upside without proportionally large equity swings — efficient capital use across 100 independent paths.
Its strong average return was achieved without proportionally high drawdown, giving it the most attractive risk-adjusted result in the batch.
⚠ Highest Drawdown Variability — Prime Execution AI EA
Equity swings were widest here — drawdown ranged from 4.61% to 41.77% across 100 simulations.
Market paths that favoured other strategy types repeatedly punished this design.
Even its best run ($242.51) 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 27 simulation wins and the highest average return at $68.62.
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 8.99% with peaks near 22.07%, but recovery completed in most profitable paths.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
Prisma
Observed across 100 independent market paths: Prisma finished second with 16 wins and an average return of $56.85 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: Peak drawdown hit 25.04% 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.
EA Gold Stuff
Observed across 100 independent market paths: EA Gold Stuff took third place (13 wins, $39.66 average) and stayed competitive in 43 simulations.
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 20.09% — elevated, yet recovery generally followed in winning simulations.
Path variation: Results swung sharply between simulations (profit spread $479.79).
TNG Gold
Observed across 100 independent market paths: TNG Gold landed in the upper half at rank #4, posting 9 wins and $35.96 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: Capital preservation remained strong — none of the simulations exceeded a 20% drawdown threshold.
Path variation: Only 9 outright wins, but frequently stayed within reach of the leaders.
Mosquito
Observed across 100 independent market paths: Mosquito landed in the upper half at rank #5, posting 9 wins and $1.15 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: Peak drawdown hit 26.28% 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.
Helios Gold AI
Observed across 100 independent market paths: Helios Gold AI ranked #6 of 10 — 9 wins, $-1.16 average profit, 24 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 32.54%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
The Buster XAU Single Entry
Observed across 100 independent market paths: The Buster XAU Single Entry ranked #7 of 10 — 7 wins, $21.43 average profit, 33 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: Capital preservation remained strong — none of the simulations exceeded a 20% drawdown threshold.
Path variation: Only 7 outright wins, but frequently stayed within reach of the leaders.
Prime Execution AI EA
Observed across 100 independent market paths: Prime Execution AI EA ranked #8 of 10 — 6 wins, $-44.38 average profit, 25 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 41.77%, spread 37.16%), though 34 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $609.67).
Mavrik Scalper
Observed across 100 independent market paths: Mavrik Scalper ranked #9 of 10 — 2 wins, $-37.18 average profit, 12 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 25.45%, 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 — 2 wins, $-78.53 average profit, 4 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 31.77% 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.