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 | 7 | 11 | $-29.85 | 11.99% | View | |
| 2 | 18 | 8 | 6 | $-50.92 | 13.57% | View | |
| 3 | 15 | 5 | 6 | $-86.94 | 15.76% | View | |
| 4 | 11 | 12 | 8 | $-45.29 | 12.63% | View | |
| 5 | 10 | 17 | 4 | $-48.23 | 13.76% | View | |
| 6 | 7 | 11 | 11 | $-41.51 | 12.29% | View | |
| 7 | 7 | 10 | 16 | $-57.40 | 14.39% | View | |
| 8 | 7 | 10 | 11 | $-80.63 | 15.79% | View | |
| 9 | 3 | 12 | 19 | +$37.58 | 6.21% | View | |
| 10 | 3 | 8 | 8 | $-96.41 | 15.73% | 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 — Lizard
While several EAs posted strong individual runs, Lizard led the batch with 19 outright victories and the highest average profit.
Consistent upper-tier rankings — top three in 37 paths — explain why it outpaced more volatile competitors.
Average drawdown remained contained at 11.99%, supporting a favourable balance between profitability and capital stress.
🛡 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 $37.58 per unit of average drawdown (6.21%) 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 (3 wins), but each unit of drawdown produced more profit than competitors.
⚠ Highest Drawdown Variability — Impulse
Impulse showed the largest variation in drawdown across the batch (76.41% spread, peak 77.51%).
Market paths that favoured other strategy types repeatedly punished this design.
When volatility aligned, it occasionally produced some of the strongest individual simulation results (best run $172.50).
Simulation Analysis by Expert Advisor
Observed across 100 independent market paths. Strategy-family context is explanatory, not a forecast.
Lizard
Observed across 100 independent market paths: Lizard ranked first overall with 19 simulation wins and the highest average return at $-29.85.
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 47.54%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
GoldSpire
Observed across 100 independent market paths: GoldSpire finished second with 18 wins and an average return of $-50.92 across 100 paths.
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 58.12% 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.
LNT Gold X100
Observed across 100 independent market paths: LNT Gold X100 took third place (15 wins, $-86.94 average) and stayed competitive in 26 simulations.
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 51.51%, spread 49.90%), though 42 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $686.44).
Gold House
Observed across 100 independent market paths: Gold House landed in the upper half at rank #4, posting 11 wins and $-45.29 average profit.
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 63.33%, spread 62.77%), though 48 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $805.80).
GoldStorm Pro EA
Observed across 100 independent market paths: GoldStorm Pro EA landed in the upper half at rank #5, posting 10 wins and $-48.23 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 57.56%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
Smart Gold Hunter
Observed across 100 independent market paths: Smart Gold Hunter ranked #6 of 10 — 7 wins, $-41.51 average profit, 29 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 65.60%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
Vex Gold EA
Observed across 100 independent market paths: Vex Gold EA ranked #7 of 10 — 7 wins, $-57.40 average profit, 33 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 62.78% when trends ran without sufficient recovery — a defining risk characteristic of this batch.
Path variation: Only 7 outright wins, but frequently stayed within reach of the leaders.
XAU Marti H1Trend
Observed across 100 independent market paths: XAU Marti H1Trend ranked #8 of 10 — 7 wins, $-80.63 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 63.76% 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.
Adaptive Gold Scalper
Observed across 100 independent market paths: Adaptive Gold Scalper ranked #9 of 10 — 3 wins, $37.58 average profit, 34 top-three finishes.
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 25.15% when trends ran without sufficient recovery — a defining risk characteristic of this batch.
Path variation: Only 3 outright wins, but frequently stayed within reach of the leaders.
Impulse
Observed across 100 independent market paths: Impulse ranked #10 of 10 — 3 wins, $-96.41 average profit, 19 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 77.51%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.