Stock Monitor Skill — 股价追踪
v0.1.0股价追踪技能，用于监控股票和加密货币价格，支持自定义提醒和趋势分析。
59· 13,500·109 当前·114 累计·💬 2
by 安全扫描
OpenClaw
可疑
medium confidenceThe skill mostly behaves like a stock-monitoring daemon and uses public finance APIs (EastMoney, Sina), but there are a few coherence issues (missing referenced config/docs, hardcoded test path) and it runs a background process that will access the network and write logs to your home directory—review before running.
评估建议
What to check before installing or running this skill:
- Missing files: SKILL.md and README instruct you to copy/edit config.example.py and reference RULE_REVIEW_REPORT.md, but those files are not present. Don’t run the daemon until you locate or create the intended config (search the package or contact the author). Running without the expected config may produce runtime errors or unexpected defaults.
- Network access: The scripts make outbound HTTP requests to third-party finance services (ea...详细分析 ▾
ℹ 用途与能力
Name/description (stock monitoring, 7 rules) match the code: monitor, analyser, daemon, and tests all implement price/volume/MA/RSI/gap/trailing-stop logic and fetch market data from EastMoney/Sina/APIs. However, SKILL.md/README reference files that are not present in the package (config.example.py, RULE_REVIEW_REPORT.md), which is an inconsistency: the runtime instructions assume a config file that isn't bundled.
ℹ 指令范围
SKILL.md limits actions to starting/stopping a local daemon and editing a config; the code likewise only performs network fetches to public finance endpoints and writes logs/state under $HOME/.stock_monitor. Nothing in SKILL.md instructs the agent to read system secrets. Minor scope concerns: SKILL.md and README tell the user to copy a config.example.py that is missing, and the test suite inserts a hardcoded path (/home/wesley/...) which indicates leftover developer-specific instructions.
✓ 安装机制
No install spec (instruction-only) and no external binary install — the lowest-risk install style. Nonetheless the package contains executable Python scripts which will be run (daemon via control.sh). There are no downloaded archives or third-party installers in the manifest.
✓ 凭证需求
The skill declares no required environment variables or credentials and the code does not appear to request secrets. It performs outbound HTTP requests to public finance APIs (eastmoney, sina) which is appropriate for the stated purpose. No unrelated credential names or config paths are requested.
✓ 持久化与权限
always is false; the skill runs as an optional background daemon when started via control.sh. It creates logs and a PID file under the user's home directory (~/.stock_monitor) which is expected for a long-running monitor. This is normal but means it will persist on the host while running.
安全有层次，运行前请审查代码。
运行时依赖
无特殊依赖
版本
latestv0.1.02026/2/20
Stock Monitor Pro 0.1.0 - 首发版（全功能智能股票监控） - 实现7大核心预警规则：成本百分比、日内涨跌、成交量异动、均线金叉死叉、RSI超买超卖、跳空缺口、动态止盈 - 支持分级预警：紧急级、警告级、提醒级，条件灵活共振 - 细致适配中国投资者习惯（红涨绿跌）、多标的（个股/ETF/黄金）差异化配置 - 内置智能分析、动态监控频率及自定义参数 - 提供后台常驻脚本一键管理、结构清晰易维护
● 无害
安装命令 点击复制
官方npx clawhub@latest install stock-monitor-skill
镜像加速npx clawhub@latest install stock-monitor-skill --registry https://www.longxiaskill.com
技能文档
🎯 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% | 无 | 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
- 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
- 避免过度交易: 预警只是参考，不要每个信号都操作
- 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
- 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"。
数据来源：ClawHub ↗ · 中文优化：龙虾技能库
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