A股T+0基金5分钟级别买卖监控

T+0 基金 5 分钟级别实时监控，支持批量代码输入，自动生成买入/卖出信号。 **触发场景：** - "监控基金 XXX" - "开始监控这些代码：xxx, xxx, xxx" - "添加 XXX 到监控列表" - "查看监控信号" - "停止监控 XXX" 支持场内 ETF、跨境 QDII、债券 ETF 等...

Security Scan

The skill's files, instructions, and requested dependencies are consistent with a T+0 5-minute fund monitor; no unexplained credential requests or hidden endpoints were found, but there are minor inconsistencies you should verify before installing.

Purpose & Capability

The code, CLI, config, and notifier match the described purpose (real-time fund monitoring, indicator calculation, signal generation, optional webhook notifications). One small mismatch: several modules (indicators.py, health_check.sh) import or reference TA-Lib (talib), but the SKILL metadata and requirements.txt do not list TA-Lib explicitly; install.sh tries to install TA-Lib and falls back to instructions for system packages. This looks like an author oversight rather than malicious intent, but it is a functional inconsistency you should be aware of.

Instruction Scope

SKILL.md and the CLI instructions direct the agent/user to run the included monitor scripts, edit the skill's config, and manage the watchlist. At runtime the code only reads/writes files under the skill directory (~/.openclaw/skills/fund-monitor), fetches market data from public finance endpoints (sina, qt.gtimg, akshare/eastmoney), and sends notifications to user-configured webhooks (DingTalk/WeChat) or terminal. There are no instructions to read unrelated system files or arbitrary environment variables.

Install Mechanism

There is no remote, arbitrary binary download; installation relies on pip installs and an included install.sh. The pip packages are sensible for this use case (akshare, pandas, requests, APScheduler, pyyaml). The install.sh attempts to install TA-Lib which may require system-level libraries (libta-lib-dev) and can fail; it does not download code from obscure hosts. Recommend running install.sh in a controlled environment (or installing dependencies manually) because TA-Lib can be tricky to build.

Credentials

The skill requests no environment variables and declares no credentials. Optional notification webhooks/keys are stored in the skill's config file (config/default.yaml) — that is expected. There are no hidden credential collection steps, and network calls are limited to public market data endpoints and user-configured notification webhooks.

Persistence & Privilege

The skill writes its own files under ~/.openclaw/skills/fund-monitor (config, data, logs), creates a PID file, and runs as a normal user process. always is false and the skill does not modify other skills or system-wide settings. This level of persistence is proportionate for a monitoring tool.

Assessment

This skill appears to do what it claims (fund monitoring and signal generation). Before installing: 1) Be prepared to install TA-Lib system libraries (install.sh attempts to install TA-Lib but requirements.txt doesn't list it) — run in a VM/container if you want to limit system changes. 2) Review and set notify.dingtalk.webhook and notify.wechat.key only if you trust the destination; those webhooks will receive signal content. 3) The code fetches data from public finance endpoints (sina, qt.gtimg, akshare/eastmoney) — if you need to restrict outbound network access, run it in a sandbox. 4) Consider pinning dependency versions and installing into a virtualenv. 5) Inspect log/data files (~/.openclaw/skills/fund-monitor/data and logs) after first runs to confirm behavior. If you want higher assurance, ask the author to add TA-Lib to requirements.txt or remove the build attempt from install.sh and provide clear installation notes.

Fund Monitor Skill

T+0 基金 5 分钟级别实时监控系统。

快速开始

1. 安装依赖

pip3 install akshare pandas pandas-ta APScheduler requests pyyaml

2. 配置通知（可选）

编辑 ~/.openclaw/skills/fund-monitor/config/default.yaml

3. 开始监控

# 添加基金到监控列表
~/.openclaw/skills/fund-monitor/tools/monitor.py add 512880,513050,159915

# 查看监控列表
~/.openclaw/skills/fund-monitor/tools/monitor.py list

# 启动监控
~/.openclaw/skills/fund-monitor/tools/monitor.py start

# 查看最新信号
~/.openclaw/skills/fund-monitor/tools/monitor.py signals

# 停止监控
~/.openclaw/skills/fund-monitor/tools/monitor.py stop

命令行接口

命令	说明	示例
add <codes>	添加基金到监控列表	add 512880,513050
list	查看监控列表	list
start	启动监控	start
stop	停止监控	stop
signals	查看最新信号	signals
remove <code>	移除基金	remove 512880
status	查看监控状态	status

信号策略

买入信号（同时满足）

• MACD 金叉（DIF 上穿 DEA）
• KDJ < 20（超卖区）
• 成交量 > 5 日均量 1.5 倍

卖出信号（满足任一）

• MACD 死叉（DIF 下穿 DEA）
• KDJ > 80（超买区）
• 跌破 5 日均线 2%

注意事项

⚠️ 数据有 1-5 分钟延迟，不构成投资建议