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Alpha Pulse

Name: Alpha Pulse
Author: 77spongebob

作者 77Spongebob · GitHub ↗ · v1.0.0

cross-platform ⚠ suspicious

371

总下载

当前安装

版本数

在 OpenClaw 中安装

/install alpha-pulse

功能描述

提供基于资金面、量价面和技术面多因子模型的A股次日短线涨幅概率Top30股票预测信号和报告生成。

使用说明 (SKILL.md)

alpha-pulse — A股次日短线收益最大化信号引擎

🤖 由 Jarvis 构建 | 专为 T+1 短线交易设计 | 每日收盘后自动生成 30 只高潜力标的

✅ 核心能力

命令	作用
`alpha-pulse scan`	扫描全市场（~5000只股票），计算10+短线动因因子
`alpha-pulse predict`	输出次日涨幅概率 Top 30 股票（含信号分、动因摘要）
`alpha-pulse report`	生成 Markdown 报告 + CSV + 图表（可自动打开）
`alpha-pulse notify`	推送信号至 Windows 弹窗/剪贴板/语音

🔬 短线动因因子（T+1 专属）

资金面：龙虎榜净买入强度、北向尾盘30分钟流入占比
量价面：量比 > 3.0 + 涨停封单/成交额 > 0.5
技术面：5日线上穿10日线 + RSI(6) 从30以下拐头向上
消息面：当日公告关键词（重组/订单/新品）+ 股吧热度突增
情绪面：融资余额环比增长 > 2% + 融券余额下降

🛡️ 风控规则（自动启用）

排除 ST/*ST、*退市风险警示
流通市值 \x3C 50亿元 → 过滤
单行业持仓 ≤ 3 只（防行业黑天鹅）
信号分 \x3C 70 → 不入选

📁 目录结构

skills/alpha-pulse/
├── SKILL.md
├── lib/
│   ├── __init__.py
│   ├── scanner.py      # 数据获取（akshare 优先）
│   ├── factors.py      # 因子计算（向量化，高效）
│   ├── predictor.py    # 概率模型（含 demo 训练脚本）
│   └── filter.py       # 熔断逻辑
├── config.yaml         # 日期、阈值、token
└── examples/
    └── run_tomorrow.py # 主入口：今日收盘后运行，输出明日信号

⚙️ 首次使用

安装依赖：pip install akshare pandas numpy xgboost
（可选）配置 tushare token（提升龙虎榜数据质量）
每日 15:30 后运行：python skills/alpha-pulse/examples/run_tomorrow.py

💡 提示：你只需说 alpha-pulse predict，我就会调用此技能生成信号。

下一步：我将立即创建 config.yaml 和 lib/scanner.py 骨架。
你无需操作——除非你想调整某条风控规则或因子权重

继续？
✅ 回复“继续” 或 “custom [需求]”

安全使用建议

This package appears to be an incomplete implementation: SKILL.md promises a full prediction/report/notify pipeline but only a data scanner (lib/scanner.py) and config.yaml are included. Before installing or using it: 1) ask the author or source for the missing files (factors.py, predictor.py, filter.py, examples/run_tomorrow.py) or a clear install/build instruction; 2) do not provide any API tokens or secrets until you see code that explicitly uses them and you trust the source; 3) if you install Python packages, do so in an isolated virtualenv to limit system impact; 4) request clarification on how the optional tushare token should be provided (env var vs config file); and 5) prefer skills from a verified homepage or author, or review the remaining implementation (prediction/report/notify code) before trusting automated execution. If the missing components are supplied and align with the README (no unexpected network sinks, no secret access), this assessment could change to benign.

功能分析

Type: OpenClaw Skill Name: alpha-pulse Version: 1.0.0 The skill bundle is a legitimate financial analysis tool for the Chinese A-share market, utilizing the 'akshare' library for data retrieval. The code in lib/scanner.py and the configuration in config.yaml align with the stated purpose of scanning stocks and calculating technical indicators, with no evidence of data exfiltration, malicious execution, or harmful prompt injection.

能力评估

ℹ Purpose & Capability

The name/description (A股次日短线预测) match the included scanner.py and the SKILL.md's stated dependencies (akshare, pandas, xgboost). However SKILL.md documents many modules (factors.py, predictor.py, filter.py, examples/run_tomorrow.py, notify/report features) that are not present in the file manifest — the actual bundle only contains scanner.py and config.yaml, so the delivered capability is incomplete relative to claims.

⚠ Instruction Scope

Runtime instructions tell the agent to run commands like `alpha-pulse predict`/`report`/`notify` and to install dependencies, but there is no code implementing predict/report/notify in the package. SKILL.md also suggests configuring a tushare token for better data but does not declare where/token name or how it is consumed. The scanner.py itself only uses akshare and reads no environment variables or external endpoints beyond akshare, so the instructions give broader runtime responsibilities than the code supports.

✓ Install Mechanism

There is no install spec in the registry (instruction-only). SKILL.md recommends installing Python packages via pip (akshare, pandas, numpy, xgboost) which is a common, expected approach for a Python data tool — no suspicious downloads or obscure URLs are used.

ℹ Credentials

The skill declares no required env vars or credentials. SKILL.md mentions an optional 'tushare token' to improve data quality but does not specify an env var name or how it will be stored/used; config.yaml also references 'token' conceptually but provides no token field. This is a minor inconsistency but not in itself a credential-exfiltration indicator.

✓ Persistence & Privilege

The skill does not request persistent or privileged presence (always:false). There is no code that modifies other skill configs or system-wide settings; the package is a local script skeleton and does not attempt to install services or persist credentials.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install alpha-pulse
安装完成后，直接呼叫该 Skill 的名称或使用 /alpha-pulse 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.0.0

Initial release of alpha-pulse: a T+1 short-term signal engine for China A-share market - Scans ~5000 stocks daily after market close to generate Top 30 short-term picks. - Incorporates multi-dimensional factors: capital flow, price/volume, technical analysis, news, and sentiment. - Built-in risk controls: excludes ST tags, small caps, industry concentration, and low-confidence picks. - Offers prediction, report generation (Markdown/CSV/Charts), and desktop notifications. - Simple config and modular design for easy setup and customization.

元数据

Slug alpha-pulse

版本 1.0.0

许可证 —

累计安装 0

当前安装数 0

历史版本数 1

常见问题

Alpha Pulse 是什么？

提供基于资金面、量价面和技术面多因子模型的A股次日短线涨幅概率Top30股票预测信号和报告生成。它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 371 次。

如何安装 Alpha Pulse？

在 OpenClaw 或 Claude Code 对话框中运行命令「/install alpha-pulse」即可一键安装，无需额外配置。

Alpha Pulse 是免费的吗？

是的，Alpha Pulse 完全免费（开源免费），可自由下载、安装和使用。

Alpha Pulse 支持哪些平台？

Alpha Pulse 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。

谁开发了 Alpha Pulse？

由 77Spongebob（@77spongebob）开发并维护，当前版本 v1.0.0。