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 | 46 | 2 | 2 | +$6.58 | 10.68% | View | |
| 2 | 13 | 15 | 5 | +$2.29 | 7.44% | View | |
| 3 | 9 | 13 | 10 | $-12.40 | 8.51% | View | |
| 4 | 6 | 19 | 15 | +$17.72 | 7.64% | View | |
| 5 | 6 | 6 | 12 | $-16.77 | 9.58% | View | |
| 6 | 6 | 9 | 6 | $-24.87 | 8.64% | View | |
| 7 | 4 | 11 | 12 | $-6.79 | 8.20% | View | |
| 8 | 4 | 10 | 16 | $-19.92 | 9.34% | View | |
| 9 | 4 | 11 | 14 | $-29.03 | 10.66% | View | |
| 10 | 2 | 4 | 8 | $-17.72 | 8.71% | 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
Scalping Robot Pro separated itself from the field by combining frequent wins with an average return of $6.58.
Strong alignment with trending and volatile phases allowed it to stay near the front across 50 top-three finishes.
Downside stayed controlled throughout the batch — peak drawdown was 44.37% while profitability led the field.
🛡 Most Consistent — GOLD Scalper PRO
GOLD Scalper PRO produced the lowest variation in profitability between simulations (spread $422.35, std. dev. $125.14).
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 — BB Return
With a profit-to-drawdown ratio of 2.3, BB Return 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 — BB Return
Equity swings were widest here — drawdown ranged from 0.00% to 63.01% across 100 simulations.
Market paths that favoured other strategy types repeatedly punished this design.
Some runs recovered well (best $129.39), yet drawdown dispersion remained the defining characteristic.
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 46 simulation wins and the highest average return at $6.58.
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 44.37% when trends ran without sufficient recovery — a defining risk characteristic of this batch.
Path variation: Finished first in 46 of 100 simulations — the most frequent winner in this batch.
GOLD Scalper PRO
Observed across 100 independent market paths: GOLD Scalper PRO finished second with 13 wins and an average return of $2.29 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: Extended adverse movement drove drawdowns toward 30.13%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
CRT Model 1
Observed across 100 independent market paths: CRT Model 1 took third place (9 wins, $-12.40 average) and stayed competitive in 32 simulations.
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 38.15%, exposing sensitivity to sustained hostile regimes.
Path variation: Only 9 outright wins, but frequently stayed within reach of the leaders.
BB Return
Observed across 100 independent market paths: BB Return landed in the upper half at rank #4, posting 6 wins and $17.72 average profit.
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 63.01%, spread 63.01%), though 61 of 100 paths still finished profitable.
Path variation: Only 6 outright wins, but frequently stayed within reach of the leaders.
Gold Zilla AI
Observed across 100 independent market paths: Gold Zilla AI landed in the upper half at rank #5, posting 6 wins and $-16.77 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 37.35%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
The Gold Reaper
Observed across 100 independent market paths: The Gold Reaper ranked #6 of 10 — 6 wins, $-24.87 average profit, 21 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 33.61%, spread 33.61%), though 50 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $425.55).
Gold Trade Pro
Observed across 100 independent market paths: Gold Trade Pro ranked #7 of 10 — 4 wins, $-6.79 average profit, 27 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 46.96%, exposing sensitivity to sustained hostile regimes.
Path variation: High path sensitivity produced wide outcome dispersion across the batch.
XIRO Robot
Observed across 100 independent market paths: XIRO Robot ranked #8 of 10 — 4 wins, $-19.92 average profit, 30 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 38.62%, spread 38.62%), though 50 of 100 paths still finished profitable.
Path variation: Only 4 outright wins, but frequently stayed within reach of the leaders.
XG Gold Robot
Observed across 100 independent market paths: XG Gold Robot ranked #9 of 10 — 4 wins, $-29.03 average profit, 29 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 48.42%, spread 48.40%), though 50 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $587.03).
Straddle
Observed across 100 independent market paths: Straddle ranked #10 of 10 — 2 wins, $-17.72 average profit, 14 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 46.46%, spread 46.46%), though 50 of 100 paths still finished profitable.
Path variation: Results swung sharply between simulations (profit spread $469.69).