Agent Skills › HKUDS/Vibe-Trading › shadow-account

shadow-account

GitHub

基于用户交割单提炼盈利规则,跨市场回测并生成归因报告。分析情绪交易影响,提供反事实建议,辅助优化投资策略。

agent/src/skills/shadow-account/SKILL.md HKUDS/Vibe-Trading

Trigger Scenarios

提炼我的策略 训练影子 我的打法回测一下 我能多赚多少 我的盈利模式

Install

npx skills add HKUDS/Vibe-Trading --skill shadow-account -g -y
More Options

Non-standard path

npx skills add https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/shadow-account -g -y

Use without installing

npx skills use HKUDS/Vibe-Trading@shadow-account

指定 Agent (Claude Code)

npx skills add HKUDS/Vibe-Trading --skill shadow-account -a claude-code -g -y

安装 repo 全部 skill

npx skills add HKUDS/Vibe-Trading --all -g -y

预览 repo 内 skill

npx skills add HKUDS/Vibe-Trading --list

SKILL.md

Frontmatter
{
    "name": "shadow-account",
    "category": "analysis",
    "description": "Shadow Account — 从用户交割单提炼盈利模式(3-5 条人话规则)→ 跨 A股\/港股\/美股\/crypto 多市场回测 → 差值归因 → 8-section PDF 报告。叙事:你的影子,没有情绪噪音。"
}

Shadow Account — 影子账户

何时触发

当用户说 "提炼我的策略" / "训练影子" / "我的打法回测一下" / "我能多赚多少" / "我的盈利模式" 时,加载此 skill。

前提:用户已上传交割单且 analyze_trade_journal 已跑过。若没有,先跑 Phase 4a 工具。

工作流(四步)

  1. extract_shadow_strategy(journal_path=...)
    • 返回 shadow_id + 3-5 条人话规则
    • 向用户 confirm:"这些规则像你本人吗?" 如果用户说"不像",提高 min_support 重跑
  2. run_shadow_backtest(shadow_id=..., journal_path=...)
    • 返回 per-market 指标 + delta_pnl + attribution breakdown
    • 默认四市场并跑(china_a/hk/us/crypto)
  3. render_shadow_report(shadow_id=...)
    • 生成 HTML + PDF(weasyprint 失败时自动降级成 HTML-only)
    • 返回 html_path / pdf_path / delta_pnl
  4. (可选)scan_shadow_signals(shadow_id=...) — 今日落在影子入场窗口的标的列表(研究用)

产出解读

规则卡

每条规则含:rule_id、human_text(≤30 字)、support_count、coverage_rate、holding_days_range。规则不是"必赚公式",而是"用户盈利时的共性画像"。

回测矩阵

  • per_market:四市场的 Sharpe/年化/最大回撤
  • combined:合并池表现
  • equity_curve:净值时序(进入 PDF Section 3)

差值归因(PDF Section 5 — gut punch)

所有数值 signed,正值=影子相对赚更多:

  • noise_trades_pnl:不命中任何规则的真实交易累计 PnL(用户的情绪单)
  • early_exit_pnl:赢单但持仓 < 规则下限,按不足比例折算的机会成本
  • late_exit_pnl:亏单但持仓 > 规则上限,按超额比例折算的放大损失
  • overtrading_pnl:超出规则频率的真实交易 PnL
  • missed_signals_pnl:残差(shadow_pnl − real_pnl − 上面四项之和)

反事实 Top 5

按 |impact| 排序,列出 5 条"最该做没做 / 最不该做却做了"的交易,带具体日期、原因。

对话模板

确认规则:

从你 {profitable_roundtrips} 笔盈利回合中提炼出这些规则:{rules}。这些看起来像你本人的打法吗?

展示差值(Section 5):

影子 PnL {shadow_pnl:+.0f} / 你真实 {real_pnl:+.0f} / 差值 {delta_pnl:+.0f}。其中 {noise_trades_pnl:+.0f} 来自不符合你任何盈利规则的"情绪单"。

今日扫描(强制附带免责):

今日落在你影子入场节奏的标的:{symbols}。仅研究用,不是买入建议。

规则翻译 Prompt 模板

当 extract_shadow_strategy 被调用时,可以注入一个 llm_translator callable 以把结构化 entry_condition 翻译成中文自然语言:

[上下文] 一位散户的盈利回合中,{N} 笔满足同一组条件:
  market = {market}
  entry_hour ∈ [{hour_min}, {hour_max}]
  持有 {hold_lo}-{hold_hi} 天
[任务] 用 ≤30 字的中文写一条规则,口吻像用户自述的交易习惯,不要堆术语。
[输出] 只返回一行规则文本,不要解释。

不注入时走 f-string 模板(见 extractor._translate_rule)。

红线

  • 不落单:这些工具永远不会对接任何下单通道,仅研究输出
  • 不复制他人策略:Shadow Account 是"用户自己"的影子,不从社区/公开策略提取规则
  • 样本不足必报错:profitable roundtrips < 5 → 直接 raise,不编造

Version History

  • 0aa45a9 Current 2026-07-24 17:48

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Metadata

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Version
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Hash
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Indexed
2026-07-24 17:48

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