stock-monitor

chjm-ai/stock-monitor-skill · updated Apr 8, 2026

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$npx skills add https://github.com/chjm-ai/stock-monitor-skill --skill stock-monitor
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summary

Intelligent stock monitoring system with seven alert rules tailored for Chinese investors.

  • Seven alert categories: cost percentage gains/losses, intraday price swings, volume anomalies, moving average crossovers, RSI overbought/oversold, gap detection, and dynamic profit-taking
  • Three-tier alert severity (urgent, warning, reminder) based on single or multiple concurrent conditions; supports individual stocks, ETFs, and gold with differentiated thresholds
  • Runs as a background daemon wi
skill.md

Stock Monitor Pro - 全功能智能投顾系统

🎯 核心特色

1. 七大预警规则 (全都要!)

规则 触发条件 权重
成本百分比 盈利+15% / 亏损-12% ⭐⭐⭐
日内涨跌幅 个股±4% / ETF±2% / 黄金±2.5% ⭐⭐
成交量异动 放量>2倍均量 / 缩量<0.5倍 ⭐⭐
均线金叉/死叉 MA5上穿/下穿MA10 ⭐⭐⭐
RSI超买超卖 RSI>70超买 / RSI<30超卖 ⭐⭐
跳空缺口 向上/向下跳空>1% ⭐⭐
动态止盈 盈利10%+后回撤5%/10% ⭐⭐⭐

2. 分级预警系统

  • 🚨 紧急级: 多条件共振 (如: 放量+均线金叉+突破成本)
  • ⚠️ 警告级: 2个条件触发 (如: RSI超卖+放量)
  • 📢 提醒级: 单一条件触发

3. 中国习惯

  • 🔴 红色 = 上涨 / 盈利
  • 🟢 绿色 = 下跌 / 亏损

📋 监控配置

完整预警规则示例

{
    "code": "600362",
    "name": "江西铜业",
    "type": "individual",  # 个股
    "market": "sh",
    "cost": 57.00,          # 持仓成本
    "alerts": {
        # 1. 成本百分比
        "cost_pct_above": 15.0,    # 盈利15%提醒 (¥65.55)
        "cost_pct_below": -12.0,   # 亏损12%提醒 (¥50.16)
        
        # 2. 日内涨跌幅 (个股±4%)
        "change_pct_above": 4.0,
        "change_pct_below": -4.0,
        
        # 3. 成交量异动
        "volume_surge": 2.0,       # 放量>2倍5日均量
        
        # 4-7. 技术指标 (默认开启)
        "ma_monitor": True,        # 均线金叉死叉
        "rsi_monitor": True,       # RSI超买超卖
        "gap_monitor": True,       # 跳空缺口
        "trailing_stop": True      # 动态止盈
    }
}

标的类型差异化

类型 日内异动阈值 成交量阈值 适用标的
individual (个股) ±4% 2倍 江西铜业、中国平安
etf (ETF) ±2% 1.8倍 恒生医疗、创50等
gold (黄金) ±2.5% 伦敦金

🚀 运行方式

后台常驻进程

cd ~/workspace/skills/stock-monitor/scripts
./control.sh start    # 启动
./control.sh status   # 查看状态
./control.sh log      # 查看日志
./control.sh stop     # 停止

⚡ 智能频率 (北京时间)

时间段 频率 监控标的
交易时间 9:30-15:00 每5分钟 全部+技术指标
午休 11:30-13:00 每10分钟 全部
收盘后 15:00-24:00 每30分钟 全部 (日线数据)
凌晨 0:00-9:30 每1小时 仅伦敦金
周末 每1小时 仅伦敦金

🔔 预警消息示例

多条件共振 (紧急级)

🚨【紧急】🔴 江西铜业 (600362)
━━━━━━━━━━━━━━━━━━━━
💰 当前价格: ¥65.50 (+15.0%)
📊 持仓成本: ¥57.00 | 盈亏: 🔴+14.9%

🎯 触发预警 (3项):
  • 🎯 盈利 15% (目标价 ¥65.55)
  • 🌟 均线金叉 (MA5¥63.2上穿MA10¥62.8)
  • 📊 放量 2.5倍 (5日均量)

📊 江西铜业 深度分析
💰 价格异动:
• 当前: 65.5 (+15.0%)
• MA趋势: MA5>MA10>MA20 [多头排列]
• RSI: 68 [接近超买]

💡 Kimi建议:
🚀 多条件共振,趋势强劲,可考虑继续持有或分批减仓。

RSI超卖 (警告级)

⚠️【警告】🟢 恒生医疗 (159892)
━━━━━━━━━━━━━━━━━━━━
💰 当前价格: ¥0.72 (-10.0%)
📊 持仓成本: ¥0.80 | 盈亏: 🟢-10.0%

🎯 触发预警 (2项):
  • 📉 日内大跌 -10.0%
  • ❄️ RSI超卖 (28.5),可能反弹

💡 Kimi建议:
🔍 短期超跌严重,RSI进入超卖区,关注反弹机会但勿急于抄底。

动态止盈提醒

📢【提醒】🔴 中国平安 (601318)
━━━━━━━━━━━━━━━━━━━━
💰 当前价格: ¥70.50 (+6.8%)
📊 持仓成本: ¥66.00 | 盈亏: 🔴+6.8%

🎯 触发预警:
  • 📉 利润回撤 5.2%,建议减仓保护利润
  (最高盈利12%已回撤)

🛠️ 文件结构

stock-monitor/
├── SKILL.md                    # 本文档
├── RULE_REVIEW_REPORT.md       # 规则审核报告
└── scripts/
    ├── monitor.py              # 核心监控 (7大规则)
    ├── monitor_daemon.py       # 后台常驻进程
    ├── analyser.py             # 智能分析引擎
    └── control.sh              # 一键控制脚本

⚙️ 自定义配置

修改成本价

"cost": 55.50,  # 改成你的实际成本

调整预警阈值

"cost_pct_above": 20.0,     # 盈利20%提醒
"cost_pct_below": -15.0,    # 亏损15%提醒
"change_pct_above": 5.0,    # 日内异动±5%
"volume_surge": 3.0,        # 放量3倍提醒

开关技术指标

"ma_monitor": False,     # 关闭均线
"rsi_monitor": True,     # 开启RSI
"gap_monitor": True,     # 开启跳空

📝 更新日志

  • v3.0 全功能版: 完成7大预警规则 (成本/涨跌幅/成交量/均线/RSI/跳空/动态止盈)
  • v2.4 成本百分比版: 支持基于持仓成本的百分比预警
  • v2.3 中国版: 红涨绿跌颜色习惯
  • v2.2 常驻进程版: 后台常驻进程支持
  • v2.1 智能频率版: 智能频率控制
  • v2.0 Pro版: 新闻舆情分析

⚠️ 使用提示

  1. 技术指标有滞后性: 均线、MACD等都是滞后指标,用于确认趋势而非预测
  2. 避免过度交易: 预警只是参考,不要每个信号都操作
  3. 多条件共振更可靠: 单一指标容易假信号,多条件共振更准确
  4. 动态止盈要灵活: 回撤5%减仓、10%清仓是建议,根据市场灵活调整

核心原则:

预警系统目标是"不错过大机会,不犯大错误",不是"抓住每一个波动"。

how to use stock-monitor

How to use stock-monitor on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add stock-monitor
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/chjm-ai/stock-monitor-skill --skill stock-monitor

The skills CLI fetches stock-monitor from GitHub repository chjm-ai/stock-monitor-skill and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/stock-monitor

Reload or restart Cursor to activate stock-monitor. Access the skill through slash commands (e.g., /stock-monitor) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.639 reviews
  • Harper Garcia· Dec 28, 2024

    Solid pick for teams standardizing on skills: stock-monitor is focused, and the summary matches what you get after install.

  • Valentina Perez· Dec 16, 2024

    stock-monitor fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Diego Agarwal· Nov 19, 2024

    stock-monitor has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Kofi Wang· Nov 7, 2024

    Useful defaults in stock-monitor — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Anaya Iyer· Nov 7, 2024

    I recommend stock-monitor for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Luis Johnson· Oct 26, 2024

    stock-monitor is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Benjamin Taylor· Oct 26, 2024

    stock-monitor reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Valentina Okafor· Oct 10, 2024

    Keeps context tight: stock-monitor is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Sakura Garcia· Sep 17, 2024

    I recommend stock-monitor for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Yash Thakker· Sep 5, 2024

    Keeps context tight: stock-monitor is the kind of skill you can hand to a new teammate without a long onboarding doc.

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