← All skills
Tencent SkillHub · Data Analysis

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"。

skill openclawclawhub Free
0 Downloads
0 Stars
0 Installs
0 Score
High Signal

🏆 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"。

⬇ 0 downloads ★ 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, references/csv_formats.md, references/insight_dimensions.md, references/scoring_system.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 8 sections Open source page

🏆 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

# 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

🎯 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

💡 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

📊 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 Buy Me a Coffee: 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 🚀

Category context

Data access, storage, extraction, analysis, reporting, and insight generation.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
4 Docs
  • SKILL.md Primary doc
  • references/csv_formats.md Docs
  • references/insight_dimensions.md Docs
  • references/scoring_system.md Docs