The backtest shows exceptional profitability metrics but is based on low-quality tick data with zero reported drawdown, making the results unreliable and unsafe to trust without further validation.

数据透明度

核心指标

增长

以导入报告的起始资金归一化为 100。该图按已保存的逐笔结果采样，不等同于经纪商实时权益曲线。

详细计算结果

收益率 = 净利润 ÷ 初始资金 × 100%；PF = 总盈利 ÷ 总亏损绝对值；单笔期望 = 净利润 ÷ 已平仓交易数；平均盈亏比 = 平均盈利单 ÷ 平均亏损单绝对值；最大回撤采用报告输出的最大回撤值。若报告含入金或出金，收益率应结合现金流另行解释。

策略安全评分依据

• Profit factor of 188.47 and win rate of 95.19% over 5,927 trades are exceptionally high and suggest overfitting or data artifacts.
• Maximum drawdown reported as 0.01% is implausibly low for a strategy with 5,927 trades, indicating a data or calculation error.
• All trade types are 's/l' with no 'buy' or 'sell' designations, preventing assessment of directional bias or holding periods.
• All trades have identical size (0.01), indicating fixed lot sizing without compounding or martingale.
• Profit concentration: top 1% of trades account for 10.11% of gross profit, top 5% account for 28.10%, not extreme but notable.
• Tester explicitly warns results must not be considered; coarse control point modelling and n/a modelling quality.
• Reported return of 283.93% is based on unreliable backtest data.

关键风险信号

• Zero drawdown (0.01%) contradicts the high number of trades and typical market volatility.
• Win rate of 95.19% and profit factor of 188.47 are statistically improbable and suggest curve-fitting or data errors.
• Lack of trade direction and entry/exit details prevents assessment of strategy logic and risk asymmetry.
• Tester warnings and coarse modelling mean results are not reliable for live trading decisions.
• Profit concentration in top trades, though not extreme, could indicate reliance on outliers.

现有数据无法判断

• Actual trade direction (buy/sell) and entry/exit rules.
• Commission, swap, and slippage costs, which can significantly affect profitability.
• Market conditions and regimes during the tested period.
• Whether the same-minute open/close trades are due to tick data granularity or strategy design.
• The reason for the 0.01% drawdown and whether it is a reporting error.

下一步行动

• Re-run the backtest with high-quality tick data and realistic modelling conditions.
• Verify trade direction and entry/exit logic by examining the strategy code or additional logs.
• Conduct forward testing on a demo account to validate performance under live market conditions.
• Include commission, swap, and slippage in the backtest to assess net profitability.
• Investigate the drawdown calculation and ensure it reflects actual risk.

常见问题