trading-coach
🏆 AI交易复盘教练 — 把你的券商CSV变成可执行的改进洞察！ 自动FIFO配对持仓，8维度质量评分(入场/出场/趋势/风险...)，10维度AI洞察。 支持富途(中/英)、老虎、中信、华泰等主流券商。 触发条件: 用户提供交易CSV、要求分析交易表现、评估交易质量、生成复盘报告、 计算盈亏统计、识别交易模式问题、"帮我复盘"、"分析我的交易"。
Best use case
trading-coach is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
🏆 AI交易复盘教练 — 把你的券商CSV变成可执行的改进洞察！ 自动FIFO配对持仓，8维度质量评分(入场/出场/趋势/风险...)，10维度AI洞察。 支持富途(中/英)、老虎、中信、华泰等主流券商。 触发条件: 用户提供交易CSV、要求分析交易表现、评估交易质量、生成复盘报告、 计算盈亏统计、识别交易模式问题、"帮我复盘"、"分析我的交易"。
Teams using trading-coach should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/trading-coach/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How trading-coach Compares
| Feature / Agent | trading-coach | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
🏆 AI交易复盘教练 — 把你的券商CSV变成可执行的改进洞察！ 自动FIFO配对持仓，8维度质量评分(入场/出场/趋势/风险...)，10维度AI洞察。 支持富途(中/英)、老虎、中信、华泰等主流券商。 触发条件: 用户提供交易CSV、要求分析交易表现、评估交易质量、生成复盘报告、 计算盈亏统计、识别交易模式问题、"帮我复盘"、"分析我的交易"。
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# 🏆 Trading Coach — AI交易复盘教练 > 别再凭感觉交易了。让数据告诉你哪里做对了，哪里需要改进。 将券商导出的CSV交易记录，转化为**专业级复盘报告**和**可执行的改进建议**。 ## ✨ 核心能力 - 🔄 **智能导入** — 自动识别5种券商格式，一键导入 - 📊 **FIFO配对** — 自动把买卖配对成完整持仓周期 - 🎯 **8维度评分** — 入场、出场、趋势、风险、行为...全面诊断 - 💡 **AI洞察** — 10维度分析，找出你的交易盲点 ## 🚀 快速开始 ```bash # 首次安装 git clone https://github.com/BENZEMA216/tradingcoach.git ~/tradingcoach cd ~/tradingcoach python3 -m venv .venv && source .venv/bin/activate pip install -r requirements.txt && cp config_template.py config.py # 一键复盘 python scripts/import_trades.py /path/to/trades.csv # 导入 python scripts/run_matching.py # 配对 python scripts/score_positions.py --all # 评分 python scripts/analyze_scores.py # 报告 ``` ## 📈 支持券商 | 券商 | 编码 | 自动检测 | |------|------|----------| | 富途(中文) | UTF-8-BOM | ✅ 方向、代码、成交时间 | | 富途(英文) | UTF-8 | ✅ Side、Symbol、Fill Time | | 老虎证券 | UTF-8 | ✅ 交易方向、股票代码 | | 中信证券 | GBK | ✅ 买卖标志、证券代码 | | 华泰证券 | GBK | ✅ 操作、证券代码 | 详见 [references/csv_formats.md](references/csv_formats.md) ## 🎯 评分体系 8个维度，每个都有权重： | 维度 | 权重 | 评估内容 | |------|------|----------| | 入场质量 | 18% | RSI/MACD/布林带配合度 | | 出场质量 | 17% | 止盈止损执行 | | 趋势把握 | 14% | 顺势/逆势、ADX强度 | | 风险管理 | 12% | R:R比率、MAE/MFE | | 市场环境 | 11% | 市场状态适配 | | 交易行为 | 11% | 纪律性、冲动检测 | | 新闻契合 | 7% | 新闻背景一致性 | | 执行质量 | 5% | 滑点、成交效率 | **等级**: A(90+) / B(80-89) / C(70-79) / D(60-69) / F(<60) 详见 [references/scoring_system.md](references/scoring_system.md) ## 💡 AI洞察 10个维度深度分析你的交易模式：入场质量、出场时机、风险控制、持仓周期、费用侵蚀、历史对比、模式识别、根因分析、事件关联、改进建议 详见 [references/insight_dimensions.md](references/insight_dimensions.md) ## 📊 输出示例 ``` 总持仓: 150笔 | 胜率: 62.5% | 总盈亏: $12,500 | 平均评分: 72.3 (C) ⚠️ 在超买区域做多 — 入场时RSI=75.2，建议避免RSI>70时追涨 ✅ 止损执行良好 — 平均亏损控制在2.3%，纪律性强 💡 持仓时间偏短 — 平均持仓2.3天，考虑延长持有优质标的 ``` --- ## ☕ 支持作者 如果这个工具帮到了你，请考虑请我喝杯咖啡！ - **GitHub Sponsors**: [@BENZEMA216](https://github.com/sponsors/BENZEMA216) - **Buy Me a Coffee**: [buymeacoffee.com/benzema216](https://buymeacoffee.com/benzema216) - **USDC (Base)**: `0x...` *(联系获取地址)* 你的支持是我持续改进的动力 🚀
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