This MT5 XAUUSD M1 backtest shows a very large reported return (12,792.9% on a 1,000 base) with a modest reported 11.33% maximum drawdown and 588 parsed closed rows, but profit is materially concentrated (top 1% of trades contribute 13.17% of gross profit, top 5% contribute 41.19%), so the headline metrics depend heavily on a small set of winners and should be validated before any live deployment.

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

• Verified: MT5 tester report on XAUUSD, M1, 2025.01.03-2026.10.05, reporting 588 closed trades, profit factor 5.07, win rate 70.75%, return 12,792.904%, max drawdown 11.33%, net profit 127,929.04 on 1,000 capital.
• Verified: reported History Quality is 99% with 616,672 bars and 2,466,687 ticks, so the test ran on a large, largely complete history sample.
• Negative: profit concentration is material. The top 1% of trades (6 trades) account for 13.17% of gross profit, and the top 5% (30 trades) account for 41.19%, so a relatively small number of winners drive a disproportionate share of overall returns.
• Negative: individual wins are erratic in size, ranging from single-digit values up to 3,500 (capped at the stated Fixed TP level), while losses also reach -3,500 (Fixed SL), indicating the strategy uses a wide 3,500-point stop and take-profit with no evidence of a tight loss asymmetry; the equity curve depends on many large wins offsetting occasional full-size losses.
• Verified: position size grows from 0.03 lots early to 1.00 lots later in the sample as the account balance grows from 1,000 to about 128,929, consistent with some form of balance-scaled compounding, but the sizing rule itself is not stated in the evidence.
• Negative: the reported maximum drawdown of 11.33% is low relative to the reported return; trade-level losses of -3,500 and -773 etc. show that individual positions can move the account materially, and the drawdown figure should be treated as a backtest statistic rather than a forward expectation.
• Positive: no hard risk flags (stop-out, margin call, negative equity) were detected in the deterministic risk flags.
• Pending: no Demo or Real forward results accompany this backtest evidence.

关键风险信号

• Profit concentration: top 1% of parsed closed rows contribute 13.17% of gross profit and top 5% contribute 41.19%, so a small number of trades materially determine the reported outcome.
• Full-size stop-loss exposure: individual losses of -3,500 (equal to the stated Fixed SL) appear repeatedly, e.g. rows at 2025.12.24, 2026.01.30, meaning single losing trades can remove roughly 3.5% of the starting 1,000 capital before position sizing grew.
• Large loss spikes follow large profit spikes (e.g. -2,256.00 and -3,500.00 around 2026.01.30, -1,270.00 on 2026.01.29), showing that equity can give back a significant portion of recent gains.

现有数据无法判断

• Entry timestamps, trade duration, and per-trade holding periods cannot be confirmed because the parsed rows are close-only with no paired entry ticket.
• Whether the many same-minute or clustered closes represent multi-position baskets, grid entries, or independent orders cannot be determined from the supplied close-only rows.
• The exact position-sizing rule (e.g. fixed fractional, balance-scaled, or other) is not stated in the evidence, only the observed lot sequence.
• Commission, swap and fee costs are not present in the supplied report context, so net-of-cost performance cannot be independently verified.
• The sizing behaviour during a prolonged adverse period, and whether the strategy scales into losses, cannot be verified from the supplied evidence.

下一步行动

• Re-run the backtest with paired entry/exit ticket data and per-trade holding times exported, to verify trade duration, direction pairing and whether any same-time exposure structure exists.
• Test cost sensitivity by adding the broker's actual commission and swap rates (and a realistic spread assumption) to the model, then compare resulting profit factor and drawdown against the reported figures.
• Validate the strategy on a Demo forward account using the same symbol, period and settings, then compare realised trade sizes, win rate and drawdown against the backtest.
• Stress-test the reported 3,500-point Fixed SL / TP on XAUUSD M1 by removing the top 5% of winning trades from the sample and recomputing profit factor and drawdown to quantify concentration dependence.
• Confirm and document the exact position-sizing rule with the EA's parameters so the relationship between balance growth and lot escalation can be checked directly.

常见问题