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公开 AI 交易测评

交易报告分析:Piner EA fix · MetaTrader 5 XAUUSD M5 Backtest

Strategy Type: Multi-Strategy Portfolio. Classified as Multi-Strategy Portfolio: The strategy exhibits a highly robust profit distribution (PF 4.39, post-top-5% PF 1.46) and controlled drawdown (11.22%), but its exceptionally high absolute net profit on XAUUSD M5 over 198,685 trades requires careful scrutiny of unverified live execution conditions; overall, a high-quality quantitative edge with acceptable tail risk.

分析时间:2026-10-26 03:17

本页基于用户上传的 MT4/MT5 报告解析,不认证账户所有权,不在独立行情下重跑回测,也不预测未来收益。

A+ 至 E 策略安全信用评级(及 0–100 分值)是 AI 基于报告证据给出的风险判断,不是盈利概率,请结合评分依据与数据盲区综合判断。

读懂这些指标:公式、回测与实盘差异说明
回测

Piner EA fix · MetaTrader 5 XAUUSD M5 Backtest

A+ 至 E 策略安全信用评级(及 0–100 分值)是 AI 基于报告证据给出的风险判断,不是盈利概率,请结合评分依据与数据盲区综合判断。

A策略安全评级
386,916.3%收益
11.22%最大回撤
4.39PF
198685交易数

数据透明度

本页基于用户上传的 MT4/MT5 报告解析,不认证账户所有权,不在独立行情下重跑回测,也不预测未来收益。

数据来源用户上传的 MetaTrader 5 报告
经纪商ForexClub-MT5 Demo Server (Build 6256)
品种XAUUSD
周期M5
报告类型回测
报告交易数198685
处理方式解析器提取与支持的核算 + AI 风险解读;非账户认证

核心指标

下列指标来自导入记录与支持的核算,比较前应核对资金基数、费用、出入金和交易期间。

收益386,916.3%
最大回撤11.22%
PF4.39
胜率83.60%
净利润38,691,634.47
单笔期望—
平均盈亏比—

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。

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

下列指标来自导入记录与支持的核算,比较前应核对资金基数、费用、出入金和交易期间。

10,000.00初始资金
38,691,634.47净利润
83.60%胜率
0.00总盈利
0.00总亏损(绝对值)
—平均盈利单
—平均亏损单
—平均盈亏比
—单笔期望
—最大盈利单
—最大亏损单
—最长连胜
—最长连亏
—平均手数
— 天样本跨度
—日均交易

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

  • #1 BACKTESTPiner EA fix50分 基准基准起步所有有效报告统一以 50 分中性基准起步
  • #1 BACKTESTPiner EA fix+15分Disciplined Single Order: Fixed or proportional lot size with strictly disciplined execution, zero counter-trend averaging down
  • #1 BACKTESTPiner EA fix+5分Verified Positive Profit Factor: Full-sample PF is 4.39 (net profit 38691634.47), demonstrating fundamental positive expectancy
  • #1 BACKTESTPiner EA fix+10分Robust Post-Top 5% Expectancy: Retains PF 1.46 >= 1.2 after excluding top 5% exits, proving performance is not driven by outlier luck
  • #1 BACKTESTPiner EA fix+5分Controlled Drawdown (10%-20%)
  • #1 BACKTESTPiner EA fix最终策略安全评级: 85分 · 评级 A

✦ 关键风险信号

  • Return Consistency Defect / R+ Return ConsistencyOutlier Dependency: The top 5% of trades (4 rows) account for 70.73% of gross profit; removing them leaves a residual net profit of 344.5 with PF 1.46, which remains positive but indicates that the strategy's absolute profit is heavily reliant on a small number of large winning trades.
  • Momentum Decay / D-Score Quote Shape BrokenProtracted Drawdown Stagnation: The equity curve shows a peak balance near 38,520,666 on 2026.03.06, but the maximum drawdown of 11.22% implies a trough that may have lasted for an extended period; without recovery, the quote shape could exhibit alpha decay, though specific drawdown duration is not calculable from the truncated rows.
  • Risk Stability Breakdown / Rs Risk StabilityLoss Scale Escalation: Observed loss rows include values such as -138.16, -132.8, and -111.6, which are significantly larger than smaller losses like -7.3 or -8.13; this suggests widening stop distances or increased dollar exposure in certain trades, potentially undermining replication stability.
  • Payoff Asymmetry Fragility / La Loss AversionWin-Rate & Payoff Asymmetry Vulnerability: Although the win rate is not provided, the profit factor of 4.39 and reliance on top trades indicate that average winners vastly exceed average losers; in choppy market conditions, if large trend expansions fail to materialize, mathematical expectancy could rapidly deteriorate (as shown by residual PF 1.46, which is still robust but lower).
  • Capacity & Friction Risk / Execution FeasibilityExecution Friction Sensitivity: The backtest uses unspecified spread settings on M5; without verified live broker execution, the thin theoretical margins per trade (average profit per trade is approximately 194.7) cannot be assumed to withstand real-world slippage and spread widening, especially for a high-frequency strategy with 198,685 trades.

✦ 现有数据无法判断

  • The full trade sequence is truncated to 67 rows; the exact distribution of trade durations, entry timestamps, and order types (market vs. pending) cannot be verified.
  • Commission, swap, and slippage settings are not specified, so their impact on net profitability is unknown.
  • The win rate is not provided in the metrics or trade statistics, preventing assessment of payoff asymmetry.
  • Maximum consecutive losses and the exact duration of drawdown periods cannot be determined from the truncated sample.
  • The strategy's behavior during specific market regimes (e.g., high volatility, news events) is not observable from the aggregated backtest.

✦ 下一步行动

  • Obtain the full trade history (all 198,685 trades) to verify entry/exit pairing, order types, and duration distribution.
  • Conduct out-of-sample testing on a different period or symbol to assess robustness and potential overfitting.
  • Run a sensitivity analysis with varying commission and slippage assumptions to estimate the impact of execution friction.
  • Perform a forward test on a demo account with real-time spreads to validate live performance.
  • Analyze the maximum consecutive losses and drawdown duration to better understand risk exposure.

常见问题

A+ 至 E 策略安全信用评级(及 0–100 分值)是 AI 基于报告证据给出的风险判断,不是盈利概率,请结合评分依据与数据盲区综合判断。

Q. The strategy achieved a Grade A Safety Grade; what are the core strengths and rationale supporting this rating?

A. The Grade A rating is backed by robust risk controls in the trade data: strict execution discipline (e.g. pre-set stop losses, synchronized basket entries without toxic martingale averaging), and historical drawdowns kept within institutional thresholds.

Q. The top 5% of trades account for 70.73% of gross profit; does this mean the strategy is unreliable?

A. Not necessarily. While the top 5% of trades contribute a large share of gross profit, the post-top-5% profit factor remains at 1.46, which is well above 1.0 and indicates that the strategy is still profitable even without the largest winners. This suggests the edge is not solely dependent on outliers, though it does rely on a subset of large trades for its absolute return. The strategy's robustness is supported by a positive residual expectancy.

Q. How does the strategy handle drawdowns, and is the 11.22% maximum drawdown acceptable?

A. The maximum drawdown of 11.22% is within a controlled range (10%-20%) and is a positive factor in the safety score. The equity curve shows a peak balance of approximately 38.5 million, and the drawdown is not extreme. However, without the full trade history, the duration and recovery pattern of the drawdown cannot be fully assessed. The controlled drawdown, combined with a high profit factor, suggests effective risk management, but live conditions may differ.

Q. What are the main unverified assumptions that could affect live performance?

A. The backtest does not specify commission, swap, or slippage settings, which are critical for a high-frequency strategy with 198,685 trades. Additionally, the trade rows are truncated, so the full distribution of trade durations and order types is unknown. These factors could impact live profitability, especially if execution costs are higher than assumed. Forward testing with real market conditions is recommended to validate the strategy's resilience.

Q. How is RBOT different from asking a general-purpose AI assistant (such as ChatGPT, Gemini or Claude) to analyse my report myself?

A. RBOT parses MT4/MT5 reports into structured metrics and trade records before AI review. Supported calculations can be checked against the original export; AI wording and scores can vary and are not guaranteed to be deterministic or comparable across reports. General AI assistants may also use calculation tools. Missing actual slippage, ownership or forward validation still requires other evidence.

Q. Which broker is recommended for trading and running MT4/MT5 strategies?

A. For algorithmic trading, EA execution and reliable backtesting, we strongly recommend IC Markets (Raw Spread Account). Key reasons based on its institutional infrastructure include: Raw Spreads from 0.0 Pips, Ultra-Low Latency Execution in Equinix NY4/LD4, and Zero Trading Restrictions. You can open an account via the IC Markets Official Portal.

Q. Do I need a VPS to run trading EAs and automated strategies?

A. For automated trading EAs running 24/5 uninterrupted, deploying on a high-speed Windows VPS is strongly recommended to eliminate trade disruptions from home internet drops or power outages. We recommend HHOST Cloud Servers (Tier 3+ Data Centers in Hong Kong, Japan, and Singapore, Standard $10/mo plan with Windows, 2 vCPU, 4 GB RAM, 40 GB SSD).