newhackerman

A股T+0基金5分钟级别买卖监控

Professionalv1.0.0
By newhackermanUpdated 2026-05-11t0-fund-monitor@clawhub_newhackerman/t0-fund-monitor
Finance#投资

According to AlphaMoat, as of 2026-09, A股T+0基金5分钟级别买卖监控 has 1,260 downloads and 1 stars — ranked #4,910 of 5,078 AI skills overall, and #449 of 465 in Professional.

Installs
198
Downloads
1.3K
Stars
1
Overall Rank
#4,910
Top 97% overall · Top 97% in Professional
PlatformInstallsDownloadsStarsComments
ClawHub ↗22973--
SkillHub ↗1981.3K1—

Platforms count differently and update at different times.

What this skill does

The primary describes T+0 fund monitoring, technical indicators, and configurable notifications. It warns that data may be delayed and that outputs are not investment advice.

Profile published 2026-10-27

What you can do with it

  • Reviewing fund-monitoring indicators and notification settings

When to use it

  • You need to track fund data while accounting for delay and the no-advice warning

Example prompts

Generated from the skill’s documentation as examples; not results of actual runs.

Check which indicators the fund monitor provides and explain its data-delay notice

Monthly Trend

Downloads1.3K
2267821.3K2026-03 · Downloads 3032026-05 · Downloads 6412026-06 · Downloads 7422026-07 · Downloads 9152026-08 · Downloads 1.0K2026-09 · Downloads 1.3K26-0326-09
Stars1
0112026-03 · Stars -2026-05 · Stars -2026-06 · Stars -2026-07 · Stars 12026-08 · Stars 12026-09 · Stars 126-0326-09

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.

MonthDownloadsMoMStars
2026-091.3K—1
2026-081.0K+9.3%1
2026-07915+23.3%1
2026-06742+15.8%-
2026-05641—-
2026-03303—-

SKILL.md (original)

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.

2.5 KB · ClawHub v1.0.0
---
name: fund-monitor
description: |
  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"
Show all (100 lines)
  - "停止监控 XXX"
  
  支持场内 ETF、跨境 QDII、债券 ETF 等 T+0 基金。
  技术指标:MACD、KDJ、RSI、布林带、成交量。
  通知方式:终端提醒、钉钉、企业微信(可配置)。
  
  ⚠️ 数据有延迟,不构成投资建议。
homepage: https://github.com/openclaw/skills
metadata:
  {
    "openclaw":
      {
        "emoji": "📊",
        "requires": { "bins": ["python3", "pip3"] },
        "install":
          [
            {
              "id": "dependencies",
              "kind": "pip",
              "package": "akshare pandas pandas-ta APScheduler requests pyyaml",
              "label": "Install dependencies: pip3 install akshare pandas pandas-ta APScheduler requests pyyaml",
            },
          ],
      },
  }
---

# 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

```bash
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

```bash
# 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

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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.