ReddRadar
Agent skill
股票分析
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。
Install this agent skill to your Project
npx add-skill https://github.com/nicepkg/ai-workflow/tree/main/workflows/stock-trader-workflow/.claude/skills/股票分析
SKILL.md
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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