According to AlphaMoat, as of 2026-09, Stock Monitor Skill 0.1.0 has 2,082 downloads and 1 stars — ranked #4,373 of 5,078 AI skills overall, and #377 of 465 in Professional.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 43 | 1.5K | 1 | - |
| SkillHub ↗ | 234 | 2.1K | 1 | — |
Platforms count differently and update at different times.
This skill is an alert monitor for Chinese-market stocks, ETFs, and gold, with seven rule families: cost-percentage (e.g. +15%/-12% from cost), intraday change thresholds (±4% stocks, ±2% ETFs, ±2.5% gold), volume anomalies, MA5/MA10 golden/death crosses, RSI overbought/oversold, gap detection, and trailing-stop profit taking. Alerts are graded urgent/warning/reminder by the number of simultaneous conditions. It follows Chinese red-up/green-down conventions, supports a background daemon via control.sh and time-aware polling frequencies, and cautions that technical indicators lag and that alerts are informational signals, not investment advice.
Profile published 2026-10-27
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 2.1K | — | 1 |
| 2026-08 | 1.6K | +15.4% | 1 |
| 2026-07 | 1.4K | +15.5% | 1 |
| 2026-06 | 1.2K | +12.8% | 1 |
| 2026-05 | 1.0K | — | 1 |
| 2026-03 | 737 | — | 1 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
--- name: stock-monitor description: 全功能智能股票监控预警系统。支持成本百分比、均线金叉死叉、RSI超买超卖、成交量异动、跳空缺口、动态止盈等7大预警规则。符合中国投资者习惯(红涨绿跌)。 --- # 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
```python
{
"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% | 无 | 伦敦金 |
## 🚀 运行方式
### 后台常驻进程
```bash
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
```python
"cost": 55.50, # 改成你的实际成本
```
### 调整预警阈值
```python
"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
```python
"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"。
A data-interface skill that pulls A-share quotes, financials, and sector data through the AkShare library.
Query Eastmoney financial data in natural language and get Excel plus Markdown tables back.
Help organize China-patent materials, search questions, and technical-disclosure drafts.
Financial data skill: query structured market data via the westock CLI.
A local-first market research skill that reads Yahoo Finance data for quotes and fundamentals and renders charts with technical panels.
A valuation analysis skill for A-share and Hong Kong stocks built on a value investing framework.
A script for A-share quotes, intraday volume breakdowns, and portfolio tracking.
Watch watchlist quotes and technical indicators, then push alerts ranked by severity when conditions fire.
Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.