Multi_Factor Trend · MetaTrader 5… AI Review | QuantTester
Multi_Factor Trend · MetaTra: return 2.5%, DD 2.20%, PF 1.12, 1497 trades. Read the review.
Strategy Safety Grade: A+ (98 / 100) · Robust & Controlled
Trading risk analysis result
Strategy Type: Strict Lot Discipline. Classified as Single-Order Trend (Strict Lot Discipline): The EA demonstrates disciplined fixed-lot execution, bounded losses via stop-loss, and an exceptionally low maximum drawdown of 2.2%, but its edge is statistically fragile, as removing the top 5% of trades turns the system into a net loser (residual PF 0.74), rendering live viability contingent on a small number of outlier winners.
Darwinex 集中度压力测试 (Top 5% Windfall Dependence Test)
剔除排名前 75 笔（5%）极端盈利单后：毛利占比 33.84%，剩余净利润 $-547.48，剩余 PF 0.74。
Data transparency & Environment
- MT4/MT5: MetaTrader 5
- Symbol: EURUSD
- Timeframe: 5 Minutes (M5) 2026.
- Net profit: $252.06
- Return: 2.5%
- Max drawdown: 2.20%
- Total Trades: 1497
- Profit Factor (PF): 1.12
Critical Algorithmic Vulnerabilities
- Outlier Dependency: The top 5% of trades (75 rows) account for 33.84% of gross profit; removing them leaves a residual net loss of -$547.48 with a profit factor of 0.74, demonstrating that expectancy is driven by statistical outliers rather than a durable systematic edge.
- Payoff Asymmetry Fragility: With a 38.08% win rate and PF 1.12, the strategy depends heavily on a small number of large winners; in choppy markets without trend expansion, expectancy can rapidly flip negative.
- Execution Friction Sensitivity: Backtest reflects a fixed spread setting (MaxSpread=30) on M5 timeframe; without live broker slippage data, the modest net profit margin ($252.06 on $10,000) may be eroded by real-world execution costs.
- Loss Tail Risk: Max single loss is -$33.1 (1.5% of capital) vs average loss -$2.28, indicating occasional larger losses that could cluster during volatile periods, though stop-loss evidence shows clustered termination.
Score Breakdown Details
- [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
- +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 [Payoff Ratio]: Win/loss ratio reached 1.82 (> 1.8), strong asymmetric payoff
- -15 pts [Windfall Reliance]: Removing top 5% outlier deals drops system into loss (Remaining PF 0.74 < 1.0)
- +15 pts [Minimal Drawdown]: Max historical drawdown only 2.2% (< 10%), excellent downside preservation
- +10 pts [Sample Horizon]: Sample duration spans 287 days (>= 180 days), covering diverse regimes
- Final Strategy Safety Score: 98 / 100 (Grade A+).
Recommended Next Actions
- Conduct forward testing on a Demo account for at least 3 months to validate execution quality and slippage under live conditions.
- Perform sensitivity analysis by increasing assumed slippage and spread to assess if net profit remains positive.
- Verify the statistical significance of the top 5% outlier trades; if they correspond to specific market conditions, assess the strategy's robustness during such regimes.
- Review trade entry logic with full ticket-level data (if available) to confirm the single-order trend classification and rule out hidden multi-order coordination.
Q&A About This Report (Quant Due Diligence)
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 does the strategy handle losses, and is there evidence of stop-loss discipline?
Yes. 1,492 of 1,497 trades have a preset stop-loss, and the stop_loss_evidence shows 93.3% of losing trades cluster at a defined level (median loss $0.70). The largest single loss was -$33.10, which is 1.5% of the $10,000 capital base, indicating controlled termination rather than unbounded holding.
What is the impact of the top 5% of trades on overall performance?
The top 5% of trades (75 out of 1,497) contribute 33.84% of gross profit. Excluding them, the strategy would have a net loss of -$547.48 and a profit factor of 0.74, meaning the system relies on these outliers to remain profitable. This suggests the edge is not uniformly distributed but concentrated in a minority of winning trades.
Is the backtest period and sample size sufficient to trust the results?
The backtest covers 287 days and 1,497 closed trades, which is a substantial sample for a trend-following strategy. However, the lack of forward testing on live accounts and the absence of slippage/cost data introduce uncertainty. The statistical significance of the profit factor (1.12) is sensitive to outlier removal, so live validation is recommended.
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.