a-stock-kline-analyzer
A股K线分析工具v1.0.6 - 实时行情、技术指标(MA/MACD/RSI/布林带)、K线形态识别、量能分析(量比/换手率/量价关系)、超详细结构化分析报告、技术评分系统、明日走势预测、完整名词解释
Best use case
a-stock-kline-analyzer is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
A股K线分析工具v1.0.6 - 实时行情、技术指标(MA/MACD/RSI/布林带)、K线形态识别、量能分析(量比/换手率/量价关系)、超详细结构化分析报告、技术评分系统、明日走势预测、完整名词解释
Teams using a-stock-kline-analyzer should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/a-stock-kline-analyzer/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How a-stock-kline-analyzer Compares
| Feature / Agent | a-stock-kline-analyzer | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
A股K线分析工具v1.0.6 - 实时行情、技术指标(MA/MACD/RSI/布林带)、K线形态识别、量能分析(量比/换手率/量价关系)、超详细结构化分析报告、技术评分系统、明日走势预测、完整名词解释
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# A-Stock Kline Analyzer v1.0.6 A股K线分析工具 - 提供实时行情、技术指标计算、K线形态识别、超详细结构化技术分析报告、技术评分系统、明日走势预测、完整技术指标名词解释。 ## 功能 - **实时行情**:新浪财经API获取实时价格 - **K线数据**:Baostock获取历史K线数据 - **技术指标**:MA、MACD、RSI、布林带 - **形态识别**:锤子线、十字星、吞没形态 - **量能分析**:量比、换手率、量价关系 - **分析报告**:自动生成技术分析报告 - **可视化**:生成K线图(可选) ## 数据源 | 数据类型 | 来源 | 稳定性 | |---------|------|--------| | 实时价格 | 新浪财经 | ✅ 稳定 | | K线历史 | Baostock | ✅ 稳定 | ## 使用方法 ```bash # 基础分析 python3 scripts/kline_analyzer.py --code 600409 --days 30 --realtime --report # 生成图表 python3 scripts/kline_analyzer.py --code 600409 --days 60 --plot --output chart.png # JSON输出 python3 scripts/kline_analyzer.py --code 600409 --json ``` ## 参数说明 | 参数 | 说明 | 示例 | |-----|------|------| | `--code` | 股票代码 | 600409 | | `--days` | 获取天数 | 30 | | `--period` | 周期 | daily/weekly/monthly | | `--realtime` | 获取实时价格 | - | | `--report` | 生成分析报告 | - | | `--plot` | 生成图表 | - | | `--output` | 图表保存路径 | chart.png | | `--json` | JSON格式输出 | - | ## 依赖 - Python 3.8+ - pandas - matplotlib - baostock ## 安装 ```bash pip3 install baostock pandas matplotlib --break-system-packages ``` ## 示例输出 ``` 📊 600409 三友化工 技术分析报告 ================================================== 【实时行情】 最新价: 8.42 元 涨跌幅: -3.11% 【技术指标】 MA5: 8.62 (股价在下方📉) RSI(14): 67.60 (中性➖) MACD: 0.413 (金叉📈) 【综合建议】 • MACD金叉,短期动能偏多 ``` ## 免责声明 本工具仅供学习研究使用,不构成投资建议。股市有风险,投资需谨慎。 ## 版本历史 ### v1.0.3 (2026-03-09) - ✅ 结构化报告格式:采用表格化、模块化展示 - ✅ 六大分析模块:趋势指标/强弱指标/布林带/K线形态/信号汇总/综合判断 - ✅ 明日走势预测:基于技术评分给出概率判断 - ✅ 操作建议:明确给出买入/持有/减仓/观望建议 - ✅ 保留v1.0.2所有功能 ### v1.0.4 (2026-03-09) - ✅ 超详细报告:八大模块完整分析(行情/趋势/强弱/布林带/形态/成交量/信号/综合) - ✅ 完整计算公式:每个指标都有定义和计算公式 - ✅ 详细判断逻辑:均线排列/MACD金叉死叉/RSI区域/布林带位置完整说明 - ✅ 操作建议细化:每个指标都有具体的操作建议 - ✅ 风险提示:包含止损建议和风险控制 - ✅ 表格化展示:所有数据用表格呈现,一目了然 ### v1.0.6 (2026-03-12) - ✅ 新增量能分析模块:量比、换手率、量价关系完整分析 - ✅ 量比计算与解读:近5日/20日均量比值,分级判断标准 - ✅ 换手率分析:活跃度分级,主力资金进出判断 - ✅ 量价关系六大法则:价涨量增/价涨量缩/价跌量增/价跌量缩/天量天价/地量地价 - ✅ 量能异动监控:放量/缩量信号自动识别 - ✅ 量能选股策略:基于量比和换手率的短线选股逻辑 ### v1.0.3 (2026-03-09) - ✅ 结构化报告:六大模块清晰分类 - ✅ 表格化数据:MA/MACD/RSI/布林带/K线形态/信号汇总全部表格展示 - ✅ 明日预测概率:量化预测结果 ### v1.0.2 (2026-03-09) - ✅ 增强分析报告:每个指标添加详细含义说明 - ✅ 添加判断依据:每个信号都有明确解释 - ✅ 技术评分系统:-5到+5分量化多空力量 - ✅ 完整名词解释:MA/RSI/MACD/布林带/K线形态详解 - ✅ 创业板支持:300/301开头股票正常获取 - ✅ 科创板支持:688开头股票正常获取 - ✅ 综合建议优化:多空信号权重计算 ### v1.0.1 (2026-03-09) - ✅ 修复创业板数据获取(300/301开头) - ✅ 修复科创板数据获取(688开头) - ✅ 优化股票代码识别逻辑 ### v1.0.0 (2026-03-09) - ✅ 实时行情获取(新浪财经API) - ✅ K线数据获取(Baostock) - ✅ 技术指标计算(MA/MACD/RSI/布林带) - ✅ K线形态识别(锤子线/十字星/吞没) - ✅ 技术分析报告生成 - ✅ K线图可视化 ## 许可证 MIT License
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