MonDip_DailyLong · MetaTrader 5… AI Review | QuantTester
MonDip_DailyLong · MetaTrade: 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 (short-only XAUUSD, fixed 1.0 lot): while the backtest shows a 2.40 profit factor and 467% return, it carries an extreme 62.36% maximum drawdown and a demonstrated absence of hard stop-loss execution, yielding a C+ safety grade.
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: MetaTrader 5
- Symbol: XAUUSD
- Timeframe: H1 (2025.01.03 - 202
- Net profit: $46,745.00
- Return: 467.5%
- Max drawdown: 62.36%
- Total Trades: 23
- Profit Factor (PF): 2.40
Critical Algorithmic Vulnerabilities
- Outlier Dependency: The top 5% of trades (2 out of 23) account for 53.79% of gross profit; removing them leaves residual net profit at $3,626 and a profit factor of 1.11, indicating that a significant portion of the edge relies on statistical outliers rather than a consistent systematic edge.
- Protracted Drawdown Stagnation: The equity curve experienced a 62.36% maximum drawdown, and after the peak in mid-April 2025 (balance $46,386), the strategy entered a prolonged stagnation phase, with balance not reclaiming that high until February 2026, reflecting momentum decay and a broken D-Score quote shape.
- Loss Scale Escalation: Early losses (May-July 2025) clustered around -$1,689 to -$5,681, but later losses (October-November 2025) escalated to -$6,668 and -$3,649, indicating widened stop distance or increased dollar exposure under adverse conditions.
- Payoff Asymmetry Fragility: With a 60.87% win rate and a 1.54 payoff ratio, the strategy's positive expectancy depends on large winning trades; if trend regimes abort or choppy conditions prevail, the arithmetic expectancy could collapse rapidly into negative territory.
- Execution Friction Sensitivity: The backtest uses a fixed 1.0 lot on XAUUSD over an H1 timeframe without any cost fields (commission, swap) in the report, and with a high average holding time of 2,942 minutes, real-world slippage and overnight swap costs could significantly erode the demonstrated profit factor.
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
- Define and implement a hard stop-loss rule (e.g., based on ATR or fixed percentage) to cap maximum drawdown below 20%.
- Conduct out-of-sample testing on additional symbols or timeframes to verify the robustness of the edge beyond the 23-trade sample.
- Incorporate realistic transaction costs (commission, swap) into the backtest to assess net profitability.
- Perform a sensitivity analysis on slippage and spread assumptions to estimate the resilience of the strategy's profit factor.
- Obtain forward-testing results on a demo or live account to validate backtest performance under real market conditions.
Q&A About This Report (Quant Due Diligence)
Why is the strategy safety score only 40 (C+) when the backtest shows a 467% return and a profit factor of 2.40?
The score is primarily driven by the strategy's internal downside risk profile. Despite a high profit factor of 2.40, the maximum drawdown reached 62.36%, which is an extreme capital impairment. Additionally, the absence of a hard stop-loss (realized losses varied without a consistent termination level, with the largest loss at $6,668) indicates unprotected exposure. The carryover of profit is also fragile: removing the top two trades (top 5%) leaves a residual profit factor of 1.11, showing that the edge relies on a few outlier wins. These factors collectively cap the score at 40 despite the strong headline returns.
What does the stop-loss evidence pattern 'variable' mean, and why does it contribute to a deduction?
The stop-loss evidence shows that the 9 losing trades closed at varying loss magnitudes (median $3,649, mean $3,713, max $6,668, with max_over_median of 1.83). There is no consistent, clustered stop level, indicating that the strategy does not employ a pre-set hard stop-loss. This lack of disciplined risk termination exposes the account to potentially unbounded losses and contributes to the -25 point deduction for no hard stop-loss.
How sensitive is the strategy's profit to the largest winning trades?
The top 1% trade (1 trade) accounted for 36.78% of gross profit, and the top 5% (2 trades) accounted for 53.79% of gross profit. Removing these trades leaves net profit of $3,626 and a profit factor of 1.11, which is still above 1.0 but substantially lower than the overall 2.40. This indicates that the strategy's profitability is heavily dependent on a small number of large winning trades, and its performance in their absence would be only marginally profitable.
What is the significance of the 100% short exposure and long holding period?
All 23 trades are short positions on XAUUSD, with an average holding period of approximately 49 hours (2,942 minutes). This suggests a persistent short bias, possibly a mean-reversion or trend-following strategy targeting declines in gold. However, over the test period, gold prices generally increased from around 2,635 to 4,998, and yet the strategy remained profitable, which may indicate effective entry timing or an asymmetric payoff profile. The long holding period also increases exposure to overnight swap costs and gap risk, which are not accounted for in the provided report.
How is QuantTester different from asking a general-purpose AI assistant myself?
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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.