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hk-stock-predictor港股预测器

Agent Skill

hk-stock-predictor 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

10,502

周安装

429

GitHub Stars

公开资料未说明

下载量

3,398
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:hk-stock-predictor(港股预测器)
来源仓库:https://github.com/chinasong/hk-stock-predictor
安装命令:
openclaw skills install hk-stock-predictor
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install hk-stock-predictor

简介

分析香港上市股票,并从价格走势、基本面、技术、南向资金流、AH 溢价、流动性等方面生成可供预测的论文。

SKILL.md

name
hk-stock-predictor
description
Analyze Hong Kong listed stocks and produce prediction-ready theses from price action, fundamentals, technicals, southbound flows, AH premium, liquidity, and event catalysts. Use when users ask for 港股, 港股通, 恒生, 港股预测, AH 溢价, 南向资金, or when turning HK stock research into time-bounded forecastable questions.
metadata
{"clawdbot":{"emoji":"📊","os":["darwin","linux","win32"]}}

HK Stock Predictor

Research a Hong Kong listed stock or theme, then turn the analysis into clear, time-bounded predictions.

Minimal Input

User can provide any of:

{
  "symbol": "00700",
  "horizon": "30d"
}
{
  "theme": "南向资金持续流入的恒生科技成分股",
  "horizon": "14d"
}

Agent Normalization

Normalize input before analysis:

  • symbol: keep the 5-digit HK code when possible, also map to .HK form for external data.
  • companyName: resolve from ticker or user text.
  • horizon: normalize to one of 5d|14d|30d|90d|event.
  • benchmark: default to HSI or HSTECH for tech-heavy names.
  • predictionType: choose direction|range|event|relative-performance.

Preferred Data Stack

If these skills are available, use them in this order:

  1. akshare-skill for broad market and company data.
  2. hk-stock-analysis for HK-specific analysis framework.
  3. cross-border-flow-tracker for southbound flow and positioning.
  4. market-overview for index and sector context.

Fallback sources if the skills are not installed:

  • HKEX / HKEXnews
  • AAStocks
  • ET Net
  • AASTOCKS southbound / short selling pages
  • public financial data providers with clear source attribution

Deterministic Workflow

  1. Validate the target.

- Reject symbols that cannot be resolved to a Hong Kong listed security. - If the user gives only a theme, narrow to 3-10 HK candidates first.

  1. Build market context.

- Capture HSI, HSCEI, and HSTECH direction. - Note sector rotation, overnight macro drivers, and any major policy headline.

  1. Gather company facts.

- Current price, market cap, 52-week range, valuation, earnings date, lot size, daily turnover.

  1. Gather HK-specific signals.

- Southbound net buy/sell trend. - Short selling ratio and unusual changes. - AH premium or discount if dual-listed. - Liquidity warning if turnover is weak or spread is wide.

  1. Build the thesis.

- State bull, base, and bear cases. - For each case, list 2-4 drivers and 1-2 invalidation signals.

  1. Convert thesis into forecastable statements.

- Use binary, range, or relative-performance formats. - Every statement must be time-bounded and externally resolvable.

  1. Rank prediction candidates.

- Prefer high observability, low ambiguity, and direct catalyst linkage. - Avoid questions that require subjective wording such as "表现好不好".

  1. Return the analysis and top prediction candidates.

Prediction Design Rules

Good prediction candidates:

  • "Will 00700 close above HK$520 on or before 2026-04-30?"
  • "Will 09988 outperform the Hang Seng Tech Index between now and 2026-05-15?"
  • "Will 02318 report YoY net profit growth above 10% in the next earnings release?"

Avoid:

  • vague targets without dates
  • subjective wording
  • multi-condition questions that resolve unclearly
  • tiny illiquid stocks where resolution may be distorted

Output

Return one structured object plus a readable summary.

{
  "ok": true,
  "normalizedInput": {
    "symbol": "00700",
    "symbolYahoo": "0700.HK",
    "companyName": "Tencent Holdings",
    "horizon": "30d",
    "benchmark": "HSTECH",
    "predictionType": "direction"
  },
  "marketContext": {
    "indices": [],
    "sectorTone": "",
    "macroDrivers": []
  },
  "evidence": {
    "fundamental": [],
    "technical": [],
    "flow": [],
    "hkSpecific": []
  },
  "scenarioAnalysis": {
    "bull": [],
    "base": [],
    "bear": []
  },
  "predictionCandidates": [
    {
      "title": "",
      "type": "direction|range|event|relative-performance",
      "deadlineIsoUtc": "",
      "resolutionSource": "",
      "confidence": 0,
      "why": []
    }
  ],
  "recommendedPrediction": {
    "title": "",
    "deadlineIsoUtc": "",
    "confidence": 0,
    "keyRisks": []
  },
  "warnings": []
}

Summary Template

# [公司名称] ([代码].HK) 港股推演

## 核心判断
- 方向判断:
- 时间窗口:
- 相对基准:

## 关键证据
- 基本面:
- 技术面:
- 资金面:
- 港股特有因子:

## 三种情景
- Bull:
- Base:
- Bear:

## 可预测题目
1. [候选题目 1]
2. [候选题目 2]
3. [候选题目 3]

## 首选题目
- 题目:
- 截止时间:
- 置信度:
- 主要风险:

If The User Wants Gougoubi Conversion

Convert the top prediction candidate into Gougoubi-ready fields:

  • marketName: use the selected prediction title.
  • deadlineIsoUtc: use the prediction deadline.
  • rules: include exact resolution source, timezone, comparison field, and tie handling.
  • tags: include hong-kong-stocks, sector tag, catalyst tag, and horizon tag.

Boundaries

  • Do not claim "all HK stocks" were checked unless the scan actually covered the full universe.
  • Do not hide missing data. Surface gaps in warnings.
  • Do not give investment advice phrased as certainty.
  • Prefer liquid names and observable events when generating prediction questions.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

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按下载量换算2,706

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权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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