BTC SCALPER IA[BTCUSD][H1][notando… AI Review | QuantTester
BTC SCALPER IA[BTCUSD][H1][n: return 20,969.9%, DD 2.68%, PF 6.03, 488 trades. Read the review.
Strategy Safety Grade: B- (50 / 100) · Caution Advised
Trading risk analysis result
Strategy Type: Single-Order Trend / Swing. Classified as Single-Order Trend / Swing: the EA executes a fixed 0.1-lot, single-order strategy with a realized payoff ratio of 4.71 and PF of 6.03 across 488 trades over 424.7 days, but its 60.43% maximum equity drawdown and reliance on a fixed -1,950 loss cap (no hard stop evidence beyond that) expose severe downside fragility, yielding a B- safety grade (score 50).
Darwinex 集中度压力测试 (Top 5% Windfall Dependence Test)
剔除排名前 25 笔（5%）极端盈利单后：毛利占比 34.58%，剩余净利润 $1,227,542.00，剩余 PF 3.94。
Data transparency & Environment
- MT4/MT5: MT5
- Symbol: BTCUSD
- Timeframe: M5
- Net profit: $2,096,994.00
- Return: 20,969.9%
- Max drawdown: 2.68%
- Total Trades: 488
- Profit Factor (PF): 6.03
Critical Algorithmic Vulnerabilities
- Momentum Decay / D-Score Quote Shape Broken: The strategy achieved a peak balance of 2,106,994 by 2026.03.04, but the maximum drawdown of 60.43% implies a severe prior decline; without recovery data beyond the period, the equity curve shape remains vulnerable to protracted stagnation.
- Risk Stability Breakdown / Rs Risk Stability: All losses in the sample are exactly -1,950, suggesting a fixed stop distance; however, the absence of explicit stop-loss settings and the 60.43% drawdown indicate potential for uncontrolled loss escalation if the market gaps or moves adversely.
- Payoff Asymmetry Fragility / La Loss Aversion: With a 56.15% win rate and 4.71 payoff ratio, the strategy relies on large winners; if trend regimes weaken or choppy conditions persist, the arithmetic expectancy could rapidly deteriorate.
- Capacity & Friction Risk / Execution Feasibility: The strategy trades on M5 with 1.15 trades per day and average size 0.1 lots; the fixed -1,950 loss per trade may be sensitive to slippage and spread widening, which are not fully modeled beyond the 500 slippage setting.
Score Breakdown Details
- 【Baseline】Starts at 50 pts neutral baseline
- +15 pts / Disciplined Single Order: Fixed or proportional lot size with strictly disciplined execution, zero counter-trend averaging down
- -25 pts / Lack of Stop Loss Protection: Trading without hard stop loss, toxic holding until catastrophic drawdown
- +15 pts / Favorable Payoff Ratio: Realized payoff ratio exceeds 1.8, robust profit-to-loss asymmetry
- +5 pts / Verified Positive Profit Factor: Full-sample PF is 6.03 (net profit 2096994.00), demonstrating fundamental positive expectancy
- +10 pts / Robust Post-Top 5% Expectancy: Retains PF 3.94 >= 1.2 after excluding top 5% exits, proving performance is not driven by outlier luck
- -20 pts / Severe Equity Drawdown (60.43%): Extreme downside dip testing account tolerance
- Final Strategy Safety Score: 50 pts (Grade B-).
Recommended Next Actions
- Obtain paired entry/exit ticket data to verify trade durations and confirm absence of scale-in or multi-position management.
- Request broker statement or live forward test to assess real slippage and commission impact.
- Clarify the stop-loss mechanism: confirm whether -1,950 losses result from a fixed hard stop or from trade exits at a signal.
- Perform stress test on the 60.43% drawdown episode to evaluate recovery time and risk of ruin.
Q&A About This Report (Quant Due Diligence)
Why did the strategy receive a B- grade despite a profit factor of 6.03?
The B- grade (score 50) reflects the 60.43% maximum equity drawdown and the lack of explicit hard stop-loss protection, which together offset the strong profit factor and favorable payoff ratio. The strategy's positive expectancy is acknowledged, but downside risk remains severe.
How dependent is the strategy on outlier trades?
The top 5% of trades contribute 34.58% of gross profit, but after excluding them, the remaining net profit is 1,227,542 with a PF of 3.94, indicating that the core edge remains robust and not solely reliant on outliers.
What does the fixed -1,950 loss per trade suggest about risk management?
The uniform -1,950 loss across all losing trades indicates a consistent exit mechanism, possibly a fixed stop distance or signal-based exit. However, without explicit stop-loss configuration, it does not guarantee protection against adverse gaps or slippage, as evidenced by the 60.43% drawdown.
Is the backtest evidence reliable given the absence of entry timestamps?
The backtest report has 100% history quality and no evidence flags, providing reliable closed-trade P/L data. However, the lack of entry timestamps and ticket pairings limits the ability to verify trade durations and intra-trade behavior, introducing some uncertainty in execution assumptions.
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.