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股票分析

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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。

QUICK START

How to use this skill

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  1. Open your project in Codex.
  2. Copy the prompt below and paste it into your agent.
  3. Review the proposed files and risks before you approve installation.
Prompt to paste
I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/nicepkg/ai-workflow/blob/HEAD/workflows/stock-trader-workflow/.claude/skills/%E8%82%A1%E7%A5%A8%E5%88%86%E6%9E%90/SKILL.md

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First, summarize what it does, its dependencies, license status if identifiable, and any risks. Show the exact files you propose to add under .agents/skills/股票分析/. Do not write files or run scripts until I approve.

After I approve, install the complete skill folder, including required referenced files, into that project location. Verify it is discoverable, then tell me its actual invocation name and how to use it. Do not claim it is installed until you have verified it.

Copying this prompt does not install or run the skill. Review third-party files before use. Codex skill guide

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