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SKILL verified MIT Self-run

Trade Journal

skill-zicxr-a-stock-skills-trade-journal · by ZICXR

AI 建议 vs 实盘 复盘工具。当用户说"今天/本周/本月 复盘"、"AI 推荐的准不准"、"交易记录"、"实盘对比" 时使用。本 Skill 记录 AI 信号 + 实际成交 + 30 天后表现,跑 1 个月后能算出"AI 推荐胜率"。**核心价值:让 AI 对自己的建议负责**。

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Install

$ agentstack add skill-zicxr-a-stock-skills-trade-journal

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-zicxr-a-stock-skills-trade-journal)

Reliability & compatibility

✓ Security review passed
0 installs to date
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● 1mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
Are you the author of Trade Journal? Claim this listing to set pricing, connect Stripe payouts, and keep 70% of every sale.
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About

trade-journal: AI vs 实盘 复盘

何时使用

  • 用户做了交易,想记录"AI 当时怎么说"
  • 周/月复盘,看 AI 推荐准不准
  • 想积累历史数据,看"AI 推荐的 4 只,30 天后涨跌幅 vs 沪深 300"

核心理念

AI 信号 → 记录 → 30 天后比对 → 算胜率
                                    ↓
                          3 个月后知道 AI 准不准

快速使用

1. 记录 AI 建议

python main.py record --code 601991 --signal "MACD金叉+站上MA20" --action buy --target_price 3.50

输出 journal/2026-06-22.md:

## 2026-06-22 14:30
- 代码: 601991 大唐发电
- AI 信号: MACD金叉+站上MA20
- 建议操作: buy
- 目标价: 3.50 (+9%)
- 当前价: 3.20

2. 记录实盘

python main.py fill --code 601991 --price 3.21 --shares 6200

3. 30 天后比对

python main.py review

输出:

📊 30 天复盘
| 代码 | AI 建议 | 实盘买入 | 30 天后 | 盈亏 | AI 准? |
|------|---------|---------|--------|------|--------|
| 601991 | 3.20 | 3.21 | 3.85 | +19.9% | ✅ 准 |

4. AI 胜率统计

python main.py stats

输出:

🎯 AI 信号胜率 (近 90 天)
- 总推荐: 24 次
- 命中 (涨幅>5%): 14 次
- 胜率: 58.3%
- 平均收益: +4.2%
- vs 沪深 300: +1.8%

数据格式

journal/ 目录:

journal/
├── 2026-06-22.md      # 每日记录
├── 2026-06-23.md
└── _stats.json         # 自动统计

哲学

> AI 不可信, 除非它愿意被复盘

这个 Skill 是 A-Stock-Skills 的"问责机制"。 不积跬步无以至千里, 跑 3 个月您就知道 AI 准不准。

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.

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