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Tuige Shortline Trading Agent Skill

基于退哥短线交易规则的A股场景化决策技能。Use when 用户要按交易场景查看短线规则、做选股、判断趋势回踩、涨停回调、连板接力、洗盘结束、卖出失效或仓位纪律。

7k tokens
context cost
the whole folder, loaded on every use
10
files
instructions only
0
copies elsewhere
how many repositories repackaged it
215
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/shouldnotappearcalm/a-share-skill --skill tuige-shortline-trading

The instruction itself

1 sections, as written by the author

Tuige Shortline Trading

适用范围

这个 skill 用来把退哥体系中的短线规则整理成可复用的决策框架,重点回答 4 类问题:

  • 当前市场环境适合做什么
  • 哪些股票值得进入观察和候选池
  • 不同交易场景下的触发条件与失效条件
  • 仓位、纪律、退出规则如何统一约束

能力边界

  • 输出的是决策参考,不是收益承诺
  • 优先使用结构化规则,不直接复述口号
  • 不自动下单,不替代回测,不代替投顾
  • 遇到模糊概念时先回到 glossary.md

推荐使用顺序

  • 先读 market-regime.md
  • 再读 stock-selection.md
  • 根据场景进入以下文档:
  • trend-setups.md
  • limit-up-pullback-setups.md
  • relay-setups.md
  • washout-breakout-setups.md
  • 最后用 exit-failure-rules.md 和 position-discipline.md 复核
  • 如需统一术语,查 glossary.md

场景地图

  • api-reference/market-regime.md
  • 先判断今天是否允许激进短线、仅允许回调确认,还是应该空仓
  • api-reference/stock-selection.md
  • 统一股票池构建、强势股筛选、回避规则
  • api-reference/trend-setups.md
  • 处理趋势延续、回踩均线、缩量整理后的再起
  • api-reference/limit-up-pullback-setups.md
  • 处理涨停后整理结构,例如三阴不破阳、揉搓线、缩倍量回调
  • api-reference/relay-setups.md
  • 处理一进二、二进三、2+2 这类高风险接力
  • api-reference/washout-breakout-setups.md
  • 处理黄金坑、假跌破、极度缩量后放量突破等洗盘末端确认
  • api-reference/exit-failure-rules.md
  • 统一止盈兑现、趋势失效、结构失败、风险离场
  • api-reference/position-discipline.md
  • 统一仓位等级、试错纪律、降频规则

标准输出模板

输出时统一包含以下结构:

  • 当前市场环境
  • 今日允许使用的场景模块
  • 候选池分级
  • 当前结构类型
  • 触发条件
  • 失效条件
  • 卖出观察点
  • 仓位建议
  • 明确回避原因

单只标的建议使用以下字段组织:

  • 标的
  • 所属题材
  • 当前结构
  • 入场依据
  • trigger
  • invalidation
  • 卖出参考
  • risk
  • position_grade

使用约束

  • 所有结论尽量写成“条件 / 风险 / 失效”
  • 没有触发,不算买点
  • 市场环境是总开关,环境不支持时不强行升级结论
  • 同一只标的若同时命中多个场景,优先保留风险更低、定义更清晰的场景解释

工程化转换

当前目录已提供可执行脚本,采用统一的 daily_decisions / realtime_quotes / strategy_lab 结构:

  • scripts/daily_decisions.py
  • 主板流动性池扫描 + trend_pullback 信号
  • 输出两类买入参考:from_previous_day_close 与 from_last_close
  • 支持持仓文件卖出信号检查
  • 默认最大持仓上限 8(可通过 --max-holdings 下调)
  • scripts/realtime_quotes.py
  • 对指定代码批量拉取现价快照
  • scripts/strategy_lab/strategy_params.py
  • 参数与仓位上限配置
  • scripts/strategy_lab/strategies.py
  • 规则引擎核心(当前版本:趋势回踩 + RSI 区间 + 失效退出)

运行

SKILL_DIR="<本 skill 绝对路径>"
python3 "$SKILL_DIR/scripts/daily_decisions.py" --json

常用参数:

  • --top-n:股票池大小,默认 120
  • --max-holdings:最大持仓上限,默认 8
  • --max-buys:买入输出上限,默认 8(最终会再受 max-holdings 约束)
  • --holdings:持仓文件路径,一行一个代码
  • --roundtrip-cost-bps:成本过滤,默认 45
  • --entry-consensus-min:鲁棒一致性阈值,默认 0.67
  • --disable-robust-check:关闭鲁棒性检查(仅调试)

说明

  • 当前工程化版本是 tuige_shortline_v1,优先落地“可量化且可复测”的部分。
  • 题材语义、公告语义、盘口封单博弈等仍属于下一阶段增强项。

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How to use it

Copy the folder

Take shouldnotappearcalm/tuige-shortline-trading from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

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