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 | 18 | 12 | 9 | +$128.05 | 7.54% | View | |
| 2 | 14 | 11 | 8 | +$115.43 | 8.17% | View | |
| 3 | 12 | 12 | 13 | +$122.73 | 8.07% | View | |
| 4 | 11 | 7 | 9 | $-4.30 | 6.87% | View | |
| 5 | 10 | 9 | 11 | +$94.77 | 8.11% | View | |
| 6 | 9 | 8 | 12 | +$50.38 | 8.63% | View | |
| 7 | 9 | 5 | 10 | +$24.02 | 8.53% | View | |
| 8 | 6 | 9 | 6 | +$64.61 | 7.54% | View | |
| 9 | 6 | 15 | 9 | +$34.25 | 8.55% | View | |
| 10 | 5 | 12 | 13 | +$182.10 | 7.29% | 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 — Aureum Quant
Aureum Quant separated itself from the field by combining frequent wins with an average return of $128.05.
Strong alignment with trending and volatile phases allowed it to stay near the front across 39 top-three finishes.
Downside stayed controlled throughout the batch — peak drawdown was 22.10% while profitability led the field.
🛡 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 62 of 100 scenarios and placed top-three 30 times — steady without needing to dominate every run.
It rarely finished first (5 wins), trading peak performance for repeatability.
⚖ Best Risk-Adjusted Performance — Gold Vanguard EA
With a profit-to-drawdown ratio of 25.0, Gold Vanguard EA delivered the strongest return relative to capital stress in this test.
Returns scaled favourably versus drawdown, suggesting conditions aligned with its strategy without excessive recovery pressure.
Maximum upside was moderate compared with the batch winner, yet the profit-to-drawdown trade-off was the most attractive.
⚠ Highest Drawdown Variability — Smart Gold Impulse
Smart Gold Impulse showed the largest variation in drawdown across the batch (21.55% spread, peak 26.40%).
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.
Aureum Quant
Observed across 100 independent market paths: Aureum Quant ranked first overall with 18 simulation wins and the highest average return at $128.05.
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 22.10% 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 finished second with 14 wins and an average return of $115.43 across 100 paths.
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 $1999.17).
Quantum Valkyrie
Observed across 100 independent market paths: Quantum Valkyrie took third place (12 wins, $122.73 average) and stayed competitive in 37 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: Severe equity declines were avoided in every simulation, with peak drawdown remaining under 20%.
Path variation: Performance depended heavily on which market path appeared — strong in some, weak in others.
Trend Catcher exp
Observed across 100 independent market paths: Trend Catcher exp landed in the upper half at rank #4, posting 11 wins and $-4.30 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 20.12% 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.
Cortex Aurex
Observed across 100 independent market paths: Cortex Aurex landed in the upper half at rank #5, posting 10 wins and $94.77 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: Downside risk remained moderate. Maximum drawdown stayed below 20% throughout every simulation.
Path variation: Results swung sharply between simulations (profit spread $2251.30).
Obsidian Flow Atlas EA
Observed across 100 independent market paths: Obsidian Flow Atlas EA ranked #6 of 10 — 9 wins, $50.38 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 stayed controlled across all simulated market paths.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
Smart Gold Impulse
Observed across 100 independent market paths: Smart Gold Impulse ranked #7 of 10 — 9 wins, $24.02 average profit, 24 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 26.40%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
CasperIT Adaptive Market Intelligence Trader
Observed across 100 independent market paths: CasperIT Adaptive Market Intelligence Trader ranked #8 of 10 — 6 wins, $64.61 average profit, 21 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.
Nexorion Initium Novum EA
Observed across 100 independent market paths: Nexorion Initium Novum EA ranked #9 of 10 — 6 wins, $34.25 average profit, 30 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: Drawdown averaged 8.55% with wider peaks, acceptable given net profitability across the batch.
Path variation: Only 6 outright wins, but frequently stayed within reach of the leaders.
Gold Vanguard EA
Observed across 100 independent market paths: Gold Vanguard EA ranked #10 of 10 — 5 wins, $182.10 average profit, 30 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: Severe equity declines were avoided in every simulation, with peak drawdown remaining under 20%.
Path variation: Only 5 outright wins, but frequently stayed within reach of the leaders.