MonDip_DailyLong · MT5 XAUUSD H1… AI Review | QuantTester
MonDip_DailyLong · MT5 XAUUS: return 467.5%, DD 62.36%, PF 2.40, 23 trades. Read the review.
Strategy Safety Grade: C+ (40 / 100) · Caution Advised
Trading risk analysis result
Strategy Type: Strict Lot Discipline. Classified as Single-Order Trend (long-only weekly XAUUSD accumulation with fixed 1.0-lot sizing): the strategy achieved PF 2.40 and +167.45% net return across 23 closed trades over 406 days with genuine positive expectancy (residual PF 1.11 after excluding the top 5% of trades), but a 62.36% maximum drawdown, a variable/unbounded loss-termination pattern (max loss 1.83x median, no clustered stops), and one trade contributing 36.78% of gross profit render it net-expectancy-positive but capital-fragile, warranting a C+ (40/100) viability rating that is unsuitable for leveraged live allocation without a hard equity-level stop and loss-cap verification.
Darwinex 集中度压力测试 (Top 5% Windfall Dependence Test)
剔除排名前 2 笔（5%）极端盈利单后：毛利占比 53.79%，剩余净利润 $3,626.00，剩余 PF 1.11。
Data transparency & Environment
- MT4/MT5: MT5
- Symbol: XAUUSD
- Timeframe: H1
- Net profit: $46,745.00
- Return: 467.5%
- Max drawdown: 62.36%
- Total Trades: 23
- Profit Factor (PF): 2.40
Critical Algorithmic Vulnerabilities
- Return Consistency Defect / R+ Outlier Dependency: The single largest trade (2026-02-05, +29,484, 36.78% of gross profit) plus the second (2025-04-17, +13,635) together contribute 53.79% of gross profit; removing the top 5% leaves residual net +3,626 and PF 1.11, demonstrating that headline expectancy leans materially on statistical outliers, though the residual core remains break-even-positive.
- Maximum Drawdown / Capital Impairment: Equity declined from a peak balance of 34,127 on 2025-08-28 to 23,810 by 2025-11-06 (a ~30% local drawdown), and the report's stated maximum drawdown reaches 62.36% of peak equity — large relative to the 467.45% return and to average per-trade risk, exposing the book to a single gold correction.
- Payoff Asymmetry Fragility / La: With a 60.87% win rate and realized payoff ratio of 1.54, average winners (5,725.79) exceed average losers (-3,712.89), but the single -6,668 loss consumes ~116% of the average winner; choppy regimes or an aborted trend in a long-only gold structure could flip arithmetic expectancy sharply, given 100% long exposure.
- Execution Feasibility / Capacity: 30-point slippage setting in parameters is a tester configuration, not a live execution-quality proof; fixed 1.0-lot XAUUSD sizing on a small capital base (~10,000) means a modest widening of the loss tail (e.g., -6,668 on 10,000 starting equity) already impairs roughly two-thirds of starting capital before any recovery — live spread/liquidity conditions remain unverified.
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
- -25 pts [No Hard SL]: No disciplined hard stop-loss; holding unhedged drawdown to severe depths
- +5 pts [Expectancy]: Overall Profit Factor reached PF 2.40 with solid positive mathematical expectancy
- +5 pts [Organic Break-even]: Removing top 5% windfall deals leaves PF 1.11 >= 1.0; maintains break-even organically
- -20 pts [Extreme Drawdown]: Max historical drawdown reached 62.4% (> 35%), weak defensive execution
- +10 pts [Sample Horizon]: Sample duration spans 406 days (>= 180 days), covering diverse regimes
- Final Strategy Safety Score: 40 / 100 (Grade C+).
Recommended Next Actions
- Verify whether a hard equity-level stop-loss or loss-cap exists (InpStopLossPercent = 10.0); given zero stop-loss exits in 23 rows, the parameter's real enforcement must be demonstrated with an out-of-sample run or execution log.
- Run a cost-sensitivity test injecting realistic XAUUSD commission and wider spread (current test assumed 30-point slippage) to confirm PF and residual net profit remain positive after friction.
- Obtain ticket-paired entry timestamps (supplied separately) to confirm actual holding durations and rule out overlapping exposure, since the current close-only rows cannot establish entry structure.
- Extend the sample beyond 23 trades and 406 days to test whether the observed outlier-windfall dependency and 62.36% drawdown profile recur or dissipate in different gold regimes.
- Evaluate an equity-protection overlay (e.g., hard trade-level stop at the historical maximum single loss of 6,668 or an equity drawdown halt near 20%) to convert the observed variable loss tail into a bounded risk profile.
Q&A About This Report (Quant Due Diligence)
Is the 2.40 Profit Factor statistically driven by one windfall trade?
Partially. The largest single trade (2026-02-05, +29,484) accounts for 36.78% of gross profit, and the top 2 trades (top 5%) together contribute 53.79%. However, removing these two leaves residual net profit of +3,626 with a PF of 1.11, so the strategy is not purely outlier-dependent — it maintains a break-even-positive core, which is why it is credited rather than penalized on the outlier dimension.
Why did the strategy receive Grade C+ (40/100) if its reported return is 467.45%?
Because internal downside metrics outweigh the headline return. The strategy was unable to demonstrate disciplined stop-loss truncation (losses ranged from -1,334 to -6,668 with max-over-median at 1.83 and no consistent termination level), and the maximum equity drawdown reached 62.36%. Both are EA-logic capital-protection deficiencies, not test-methodology artifacts, and they drive the 40/100 rating.
What does the trade sequence suggest about the EA's operating mechanics?
All 23 parsed rows are buy-side closes with fixed 1.0-lot size and single-order exposure (max_sim_orders = 1). Close timestamps cluster at 01:05:00 server time on Thursdays/selected weekdays at roughly weekly intervals, consistent with a weekly long-gold accumulation model (MonDip DailyLong) rather than a scalping or grid system. The loss rows do not cluster at a consistent fixed level, so exit timing appears schedule-based rather than stop-based.
What would an investor need to observe before considering live allocation?
Three things are unverified: (1) whether any hard stop or equity-level loss cap is actually enforced, since there are zero stop-loss exit rows despite an InpStopLossPercent 10.0 input; (2) whether the 1.0-lot fixed sizing is sustainable given a single -6,668 loss equals ~67% of the 10,000 starting capital base; and (3) net-of-cost performance, since commission and swap fields are absent. Until these are substantively confirmed, the strategy's documented PF 2.40 and residual PF 1.11 cannot be treated as live-transferable.
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.