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���票分析 Agent Skill

提供获取用户自选分组(LongPort)、股票市场数据(LongPort + AkShare)、技术指标计算(ta-lib)的技能。分析数并与用户研究交易策略,形成买卖点建议,并可做回测、寻优与报告输出。

85k tokens
context cost
the whole folder, loaded on every use
9
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
275
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/nicepkg/ai-workflow --skill 股票分析

The instruction itself

as written by the author

简介

何时触发

当用户提出下列任意请求时,加载本 Skill:

  • “调用 LongPort 分组接口拿到一批股票,补齐市场数据并做分析”
  • "对分组内所有标的计算技术指标,生成买卖点建议"

能力概览

  • 数据采集与分组:
  • LongPort 分组接口获取标的列表
  • 行情数据:优先 LongPort,缺失时回退 AkShare;支持前复权与时间对齐
  • 指标计算:
  • 使用 TA-Lib,完整指标套件(EMA/MACD/RSI/ATR/OBV/BBANDS)
  • 信号生成:
  • 规则/阈值/指标组合生成买卖点建议(含打分)

资源导航(何时加载)

  • references/data_sources.md — LongPort + AkShare
  • references/indicators.md — 指标使用技介绍
  • scripts/
  • longport_groups.py — 自选分组管理(CLI:list/create/update/get-symbols/delete)
  • longport_candlesticks.py — K 线数据获取(CLI:按周期/数量/输出路径查询)
  • talib_calculator.py — 技术指标计算(支持单指标或 compute_full_suite)
  • assets/(可选)— 报告模板或 Notebook,如需生成报告/演示可补充

工作流示例(触发句)

  • “用 LongPort 拿到分组成份,缺失的用 AkShare 补齐,合并到统一行情表。”
  • "对分组内所有标的计算技术指标,生成买卖点建议列表。"

注意事项与最佳实践

  • 数据一致性:LongPort/AkShare需统一时区、使用前复权;缺失值要先补齐再算指标
  • 指标健壮性:TA-Lib 初期会产生 NaN,计算信号前先截取有效区间或前向填充
  • 凭证安全:LongPort/AkShare 请使用本地 .env 或加密文件,避免提交到仓库

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How to use it

Copy the folder

Take nicepkg/股票分析 from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

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