SuperBot V4 · MetaTrader 5 XAUUSD H1… AI 测评｜QuantTester
SuperBot V4 · MetaTrader 5 XAUUSD H 报告：收益 65.0%、回撤 14.78%、PF 1.31、359 笔交易。AI 风险解读。
策略安全信用评级: A+ (90 / 100) · 稳健受控 (Robust)
交易风险分析结果
Strategy Type: Single-Order Trend. Classified as Single-Order Trend: The backtest of SuperBot V4 on XAUUSD H1 demonstrates a controlled, positive-expectancy trend-following system with a 65% return, 14.78% maximum drawdown, Profit Factor 1.31, and resilience without its top 5% trades (residual PF 1.16), but live viability remains contingent on unverified execution conditions and extended forward validation.
Darwinex 集中度压力测试 (Top 5% Windfall Dependence Test)
剔除排名前 18 笔（5%）极端盈利单后：毛利占比 11.41%，剩余净利润 $3,380.00，剩余 PF 1.16。
数据透明度与环境说明
- MT4/MT5: MetaTrader 5
- 品种: XAUUSD
- 周期: H1 (2025.01.03 - 202
- 总净利润: $6,500.00
- 总收益率: 65.0%
- 最大回撤: 14.78%
- 总交易笔数: 359
- 盈利因子 (PF): 1.31
AI 识别的核心高危漏洞清单
- Return Consistency Defect / R+ Return Consistency: Top 5% of trades account for 11.41% of gross profit; removing them leaves net profit of $3,380 and Profit Factor of 1.16. While the strategy remains profitable without outliers, the moderate dependency suggests that a prolonged absence of favorable trending conditions could compress returns toward break-even.
- Momentum Decay / D-Score Quote Shape Broken: The maximum drawdown of 14.78% is controlled, but the equity curve’s post-peak recovery speed and underwater duration are not disclosed in the report. Without time-series equity data, the potential for a protracted stagnation period cannot be assessed, posing a risk to momentum stability.
- Risk Stability Breakdown / Rs Risk Stability: The average loss per trade is not directly reported, but the fixed stop-loss (2000 points) and take-profit (2000 points) with trailing features imply a symmetrical target/stop. However, the average profit per trade ($6,500 / 359 ≈ $18.11) is modest relative to account size, making the system sensitive to widening spreads or slippage.
- Payoff Asymmetry Fragility / La Loss Aversion: The win rate of 57.94% and Profit Factor 1.31 indicate a balanced payoff profile, but if market conditions shift to choppy, the system’s trend-following edge may deteriorate. The residual Profit Factor of 1.16 after excluding top trades still provides a buffer, but any increase in losing streaks could erode confidence.
- Capacity & Friction Risk / Execution Feasibility: The backtest does not specify realistic slippage or commission costs; the small average profit per trade ($18.11) leaves thin margin to absorb live trading frictions such as spread widening or order rejection, which could materially impair net returns.
客观数学打分明细
- [Base Score] All valid statements start at 50 points neutral benchmark (Grade B-)
- +15 pts [Lot Discipline]: Fixed/proportional lot execution, no adverse counter-trend doubling
- +5 pts [Expectancy]: Overall Profit Factor reached PF 1.31 with solid positive mathematical expectancy
- +5 pts [Organic Break-even]: Removing top 5% windfall deals leaves PF 1.16 >= 1.0; maintains break-even organically
- +5 pts [Controlled Drawdown]: Max historical drawdown is 14.8% (10%-20%), within stable controlled zone
- +10 pts [Sample Horizon]: Sample duration spans 640.6 days (>= 180 days), covering diverse regimes
- Final Strategy Safety Score: 90 / 100 (Grade A+).
下一步行动与优化建议
- Conduct a forward test on a demo account for at least 3–6 months to validate performance under live execution conditions.
- Request a detailed trade log including timestamps, entry/exit prices, and slippage data from the broker to verify execution quality.
- Analyze the equity curve over time to assess drawdown recovery and underwater periods.
- Perform a sensitivity analysis by increasing spread and commission assumptions to evaluate cost resilience.
- Verify that the broker’s minimum stop distance and order execution policies align with the EA’s parameters.
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.
How dependent is the strategy on a few large winning trades?
The top 5% of trades (18 rows) account for 11.41% of gross profit. Removing them reduces net profit to $3,380 but leaves Profit Factor at 1.16, indicating the strategy maintains positive expectancy without outlier dependence. The top 1% (4 trades) contribute only 2.63% of gross profit, further confirming that the edge is not concentrated in a handful of trades.
What does the residual Profit Factor of 1.16 after removing the top 5% trades indicate about the strategy's risk profile?
A residual Profit Factor of 1.16 means the strategy remains profitable even without its best trades, which is a positive sign of systematic edge. However, it also suggests that a significant portion of net profit (approximately 48% of total net profit) comes from a small subset of trades, so performance may be sensitive to the frequency of favorable trending conditions.
Why is there no stop-loss risk flagged despite the fast trade turnover?
The trade rows show exits at both profits and losses, and the strategy parameters explicitly define a stop-loss of 2000 points, take-profit of 2000 points, trailing stop at 5000 points, and breakeven at 50 points. This indicates a controlled downside with pre-set stop-loss levels, not unprotected toxic holding. The absence of grid or martingale patterns (fixed lot sizing with proportional scaling) further supports the disciplined risk management.
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.