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 | 20 | 13 | 9 | +$25.76 | 10.05% | View | |
| 2 | 14 | 20 | 11 | +$23.45 | 10.60% | View | |
| 3 | 13 | 16 | 11 | +$28.86 | 9.23% | View | |
| 4 | 12 | 13 | 19 | +$29.00 | 9.57% | View | |
| 5 | 12 | 6 | 6 | $-6.82 | 14.28% | View | |
| 6 | 11 | 9 | 10 | +$15.12 | 9.92% | View | |
| 7 | 9 | 11 | 15 | +$16.75 | 10.15% | View | |
| 8 | 4 | 3 | 10 | $-4.73 | 12.93% | View | |
| 9 | 3 | 7 | 5 | +$2.39 | 10.00% | View | |
| 10 | 2 | 2 | 4 | $-13.21 | 11.90% | 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 — Scalping Robot Pro
While several EAs posted strong individual runs, Scalping Robot Pro led the batch with 20 outright victories and the highest average profit.
Consistent upper-tier rankings — top three in 42 paths — explain why it outpaced more volatile competitors.
Average drawdown remained contained at 10.05%, supporting a favourable balance between profitability and capital stress.
🛡 Most Consistent — GOLD Scalper PRO
GOLD Scalper PRO produced the lowest variation in profitability between simulations (spread $114.71, std. dev. $26.12).
Rather than relying on a few exceptional runs, it maintained competitive performance across a wide variety of market conditions.
This consistency came at the cost of fewer outright wins than more aggressive competitors.
⚖ Best Risk-Adjusted Performance — Gold Vanguard EA
With a profit-to-drawdown ratio of 3.1, 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 — GoldSpire
No other EA matched the drawdown dispersion of GoldSpire, 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 delivered standout peaks — the trade-off is higher drawdown variability, not absence of upside.
Simulation Analysis by Expert Advisor
Observed across 100 independent market paths. Strategy-family context is explanatory, not a forecast.
Scalping Robot Pro
Observed across 100 independent market paths: Scalping Robot Pro ranked first overall with 20 simulation wins and the highest average return at $25.76.
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 31.46%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
Byrdi
Observed across 100 independent market paths: Byrdi finished second with 14 wins and an average return of $23.45 across 100 paths.
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 10.60% with peaks near 22.59%, but recovery completed in most profitable paths.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
Gold Vanguard EA
Observed across 100 independent market paths: Gold Vanguard EA took third place (13 wins, $28.86 average) and stayed competitive in 40 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: Large equity declines clustered in prolonged one-directional markets (peak 25.20%, spread 20.42%), though 81 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $146.33).
GOLD Scalper PRO
Observed across 100 independent market paths: GOLD Scalper PRO landed in the upper half at rank #4, posting 12 wins and $29.00 average profit.
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 9.57% with peaks near 21.33%, but recovery completed in most profitable paths.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
GoldSpire
Observed across 100 independent market paths: GoldSpire landed in the upper half at rank #5, posting 12 wins and $-6.82 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 51.19% 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 ranked #6 of 10 — 11 wins, $15.12 average profit, 30 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: Large equity declines clustered in prolonged one-directional markets (peak 25.26%, spread 21.86%), though 66 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $166.13).
Ultimate Breakout System
Observed across 100 independent market paths: Ultimate Breakout System ranked #7 of 10 — 9 wins, $16.75 average profit, 35 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: Large equity declines clustered in prolonged one-directional markets (peak 25.93%, spread 20.25%), though 66 of 100 paths still finished profitable.
Path variation: Only 9 outright wins, but frequently stayed within reach of the leaders.
Gold Snap
Observed across 100 independent market paths: Gold Snap ranked #8 of 10 — 4 wins, $-4.73 average profit, 17 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 37.07% 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.
SuperScalp Gold
Observed across 100 independent market paths: SuperScalp Gold ranked #9 of 10 — 3 wins, $2.39 average profit, 15 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 26.66% 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.
Spider Gold
Observed across 100 independent market paths: Spider Gold ranked #10 of 10 — 2 wins, $-13.21 average profit, 8 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 41.52% 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.