trade-journal
Skill26 starsChanged 5 months agoMITView on GitHub
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**。
10 other projects use a version of this.
Adopted by
Most recently taken up by
- PatrickSUDO/fadacai-portfoliotheir own version, first seen Nov 6, 2026
- nimadorostkar/Claude-Skills-collectiontheir own version, first seen Oct 13, 2026
- bocodes1/claude-skillstheir own version, first seen Oct 11, 2026
- IngAs8/ClaudeSkilltheir own version, first seen Sep 28, 2026
- Serennity007/claude-trading-skills-67their own version, first seen Aug 25, 2026
- NT-NinjaTrader/mcp-skillstheir own version, first seen Jul 25, 2026
Other versions10 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 10
- agiprolabs/claude-trading-skills★ 366same name
- PatrickSUDO/fadacai-portfolio★ 145same name
- nimadorostkar/Claude-Skills-collection★ 33same name
- jackson-video-resources/skills★ 17same name
- NT-NinjaTrader/mcp-skills★ 8same name
- tusharagg1/aifolimizer★ 2same name
- bocodes1/claude-skills★ 0same name
- IngAs8/ClaudeSkill★ 0same name
- Serennity007/claude-trading-skills-67★ 0same name
- Yahmez3/Claude-Skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository10 other files it gives its agents.
- start-hereSkill
- astock-cacheSkill
- astock-data-sourceSkill
- astock-utilsSkill
- watchlist-monitorSkill
- stock-technical-analysisSkill
- trade-reviewSkill
- screenerSkill
- reportSkill
- alerterSkill
The file
Files
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: 3.202. 记录实盘
python main.py fill --code 601991 --price 3.21 --shares 62003. 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。
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

