Quantum Emperor V5.8 · MetaTrader 5… AI 测评｜QuantTester
Quantum Emperor V5.8 · MetaTrader 5 报告：收益 1.0%、回撤 14.98%、PF 1.04、1442 笔交易。AI 风险解读。
策略安全信用评级: A (85 / 100) · 稳健受控 (Robust)
交易风险分析结果
Strategy Type: Hybrid (Tiered Basket + Trend Following). Classified as Layered Basket (Tiered Basket execution): a 863-day M5 XAUUSD backtest of Quantum Emperor V5.8 shows a 96.6% win rate and 1.04 profit factor on disciplined six-to-seven-unit basket exits, but the +1.02% net return and 14.98% maximum drawdown rest on an extreme payoff asymmetry (0.04) and demonstrable outlier dependency, leaving the strategy viable only after forward execution-cost validation.
Darwinex 集中度压力测试 (Top 5% Windfall Dependence Test)
剔除排名前 73 笔（5%）极端盈利单后：毛利占比 17.25%，剩余净利润 $-349.23，剩余 PF 0.86。
数据透明度与环境说明
- MT4/MT5: MetaTrader 5
- 品种: XAUUSD
- 周期: 5 Minutes (M5) 2024.
- 总净利润: $101.51
- 总收益率: 1.0%
- 最大回撤: 14.98%
- 总交易笔数: 1442
- 盈利因子 (PF): 1.04
AI 识别的核心高危漏洞清单
- Outlier Dependency (Return Consistency Defect / R+): The top 5% of trades (73 rows) account for 17.25% of gross profit; removing them leaves residual net profit at -$349.23 with a profit factor of 0.86, demonstrating that expectancy is driven by statistical outliers rather than a durable systematic edge.
- Payoff Asymmetry Fragility (Loss Aversion / La): With a 96.6% win rate, average winner of $1.88 and average loser of -$51.25 (realized payoff ratio 0.04), a single clustered basket stop of -$209.39 per unit wipes out roughly 111 average winners; any deterioration in the six-to-seven-unit exit synchronisation immediately flips arithmetic expectancy negative.
- Loss-Scale Tail (Risk Stability / Rs): Loss distribution shows an unbounded tail with max_over_median of 8.35 (median loss $25.07 versus largest single loss -$209.39 on 2025.08.08 17:15, where seven consecutive units closed -$209.39 to -$208.44), evidencing occasional loss-scale expansion far beyond the typical stop cluster.
- Protracted Underwater Episode (Momentum Decay / D-Score): Equity peaked near $10,081 in mid-July 2024, fell to roughly $8,616 by 2025.08.08 (about a 14.98% decline), and did not reclaim a new high until 2026.08.19, leaving a multi-month underwater period that breaks quote-shape momentum stability.
- Execution Friction Sensitivity (Capacity / Execution Feasibility): Backtest reflects an M5 XAUUSD configuration with unspecified spread and a 5-point slippage setting; the gross-to-net margin is only $101.51 on $2,613.03 gross profit, so unverified live spread widening or latency on six-to-seven-unit basket exits could erode the thin 1.04 profit factor.
客观数学打分明细
- [Base Score] All valid statements start at 50 points neutral benchmark (Grade B-)
- +5 pts [Order Basket]: Controlled multi-entry execution in same minute; layered basket architecture
- +20 pts [Hard Stop-Loss]: Every order strictly protected by predefined stop-loss; bounded risk exposure
- +10 pts [Trailing Stop]: Dynamic break-even elevation or trailing stop active to lock in gains
- -15 pts [Windfall Reliance]: Removing top 5% outlier deals drops system into loss (Remaining PF 0.86 < 1.0)
- +5 pts [Controlled Drawdown]: Max historical drawdown is 15.0% (10%-20%), within stable controlled zone
- +10 pts [Sample Horizon]: Sample duration spans 863 days (>= 180 days), covering diverse regimes
- Final Strategy Safety Score: 85 / 100 (Grade A).
下一步行动与优化建议
- Rerun the backtest after resolving the 56 mismatched-chart errors on the intended history and report the resulting modelling quality value.
- Re-export trade data with entry timestamps, entry prices and direction so the six-to-seven-unit basket structure and net exposure can be verified.
- Run a cost-sensitivity pass with realistic XAUUSD spread and commission to test whether the 1.04 profit factor survives friction.
- Forward-test on a demo feed to observe basket exit fills under live latency and requotes.
- Stress-test the outlier-dependency finding by isolating the largest baskets to confirm whether a repeatable edge exists independent of the top 5% of trades.
关于本报告的关键质询与答疑 (Q&A About This Report)
The strategy achieved a Grade A Safety Grade; what are the core strengths and rationale supporting this rating?
The Grade A rating is backed by robust risk controls in the trade data: strict execution discipline (e.g. pre-set stop losses, synchronized basket entries without toxic martingale averaging), and historical drawdowns kept within institutional thresholds.
What does the 96.6% win rate and 0.04 payoff ratio mean for the strategy's risk profile?
It is a high-win-rate, small-average-win configuration: average winner is $1.88 and average loser is -$51.25. The structure is a tiered basket where six to seven 0.01-lot units exit together with modest per-unit gains, while occasional adverse baskets terminate at clustered stops of about -$25 per unit or, in the worst case on 2025.08.08, about -$209 per unit. It is mathematically coherent, but a single tail loss offsets roughly 111 average winners.
How dependent is the reported profit on outlier trades?
Materially. The top 5% of trades (73 of 1,442 rows) account for 17.25% of gross profit; removing them turns residual net profit negative at -$349.23 with a profit factor of 0.86. The top 1% alone (15 rows) contributes 4.02% of gross profit, and removing them leaves net profit at -$3.39 with a profit factor of 1.00. Expectancy therefore relies on a subset of large expansions.
Why did the equity curve take over a year to reclaim its prior high?
The curve peaked near $10,081 in mid-July 2024, declined to roughly $8,616 by 2025.08.08 (about 14.98%), and only set a new high again around 2026.08.19. This long underwater period reflects a strategy whose tiny per-unit gains accumulate slowly while clustered basket stops remove large blocks of accumulated profit, producing extended recovery phases even within a bounded drawdown.
How is QuantTester different from asking a general-purpose AI assistant myself?
QuantTester parses MT4/MT5 reports into structured metrics and trade records before AI review. Supported calculations can be checked against the original export, guaranteeing consistent audit facts.
Which broker is recommended for trading and running MT4/MT5 strategies?
For algorithmic trading, EA execution and reliable backtesting, we strongly recommend IC Markets (Raw Spread Account) with 0.0 pip spreads.