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 | 16 | 11 | 9 | +$84.54 | 8.32% | View | |
| 2 | 14 | 10 | 6 | +$82.97 | 7.93% | View | |
| 3 | 11 | 14 | 9 | +$101.40 | 7.57% | View | |
| 4 | 11 | 8 | 8 | +$52.79 | 8.44% | View | |
| 5 | 10 | 6 | 6 | $-5.25 | 7.04% | View | |
| 6 | 9 | 11 | 14 | +$51.97 | 8.29% | View | |
| 7 | 9 | 10 | 10 | +$1.63 | 8.19% | View | |
| 8 | 7 | 12 | 12 | +$49.85 | 8.19% | View | |
| 9 | 7 | 9 | 13 | $-11.95 | 8.76% | View | |
| 10 | 6 | 9 | 13 | $-9.23 | 8.01% | 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 — Smart Gold Impulse
While several EAs posted strong individual runs, Smart Gold Impulse led the batch with 16 outright victories and the highest average profit.
Consistent upper-tier rankings — top three in 36 paths — explain why it outpaced more volatile competitors.
Downside stayed controlled throughout the batch — peak drawdown was 25.23% while profitability led the field.
🛡 Most Consistent — Cortex Aurex
Cortex Aurex showed the most stable profit path across the batch, with smaller swings between individual market scenarios.
It stayed profitable in 43 of 100 scenarios and placed top-three 28 times — steady without needing to dominate every run.
It rarely finished first (6 wins), trading peak performance for repeatability.
⚖ Best Risk-Adjusted Performance — Aureum Quant
Profit of $101.40 per unit of average drawdown (7.57%) 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 (11 wins), but each unit of drawdown produced more profit than competitors.
⚠ Highest Drawdown Variability — Trend Catcher exp
No other EA matched the drawdown dispersion of Trend Catcher exp, 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 produced positive outcomes, but the trade-off was substantially higher drawdown variability.
Simulation Analysis by Expert Advisor
Observed across 100 independent market paths. Strategy-family context is explanatory, not a forecast.
Smart Gold Impulse
Observed across 100 independent market paths: Smart Gold Impulse ranked first overall with 16 simulation wins and the highest average return at $84.54.
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 25.23%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
Quantum Valkyrie
Observed across 100 independent market paths: Quantum Valkyrie finished second with 14 wins and an average return of $82.97 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: Drawdown averaged 7.93% 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.
Aureum Quant
Observed across 100 independent market paths: Aureum Quant took third place (11 wins, $101.40 average) and stayed competitive in 34 simulations.
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 22.36% 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.
Sharkyra Gold
Observed across 100 independent market paths: Sharkyra Gold landed in the upper half at rank #4, posting 11 wins and $52.79 average profit.
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 $2227.36).
Trend Catcher exp
Observed across 100 independent market paths: Trend Catcher exp landed in the upper half at rank #5, posting 10 wins and $-5.25 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 25.46% 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.
Nexorion Initium Novum EA
Observed across 100 independent market paths: Nexorion Initium Novum EA ranked #6 of 10 — 9 wins, $51.97 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 23.78% when trends ran without sufficient recovery — a defining risk characteristic of this batch.
Path variation: Only 9 outright wins, but frequently stayed within reach of the leaders.
CasperIT Adaptive Market Intelligence Trader
Observed across 100 independent market paths: CasperIT Adaptive Market Intelligence Trader ranked #7 of 10 — 9 wins, $1.63 average profit, 29 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 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.
Obsidian Flow Atlas EA
Observed across 100 independent market paths: Obsidian Flow Atlas EA ranked #8 of 10 — 7 wins, $49.85 average profit, 31 top-three finishes.
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 25.18%, exposing sensitivity to sustained hostile regimes.
Path variation: Only 7 outright wins, but frequently stayed within reach of the leaders.
Prop Firm Gold EA
Observed across 100 independent market paths: Prop Firm Gold EA ranked #9 of 10 — 7 wins, $-11.95 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 25.42%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
Cortex Aurex
Observed across 100 independent market paths: Cortex Aurex ranked #10 of 10 — 6 wins, $-9.23 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: Downside risk remained moderate. Maximum drawdown stayed below 20% throughout every simulation.
Path variation: Results swung sharply between simulations (profit spread $1876.38).