Hk Stock Predictor OpenClaw Skill

Analyze Hong Kong listed stocks and produce prediction-ready theses from price action, fundamentals, technicals, southbound flows, AH premium, liquidity, and...

v1.0.0 Recently Updated Updated 3 wk ago

Installation

clawhub install hk-stock-predictor

Requires npm i -g clawhub

237

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0

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2

current installs

2 all-time

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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.
  2. Build market context.
    • Capture HSI, HSCEI, and HSTECH direction.
    • Note sector rotation, overnight macro drivers, and any major policy headline.
  3. Gather company facts.
    • Current price, market cap, 52-week range, valuation, earnings date, lot size, daily turnover.
  4. 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.
  5. Build the thesis.
    • State bull, base, and bear cases.
    • For each case, list 2-4 drivers and 1-2 invalidation signals.
  6. Convert thesis into forecastable statements.
    • Use binary, range, or relative-performance formats.
    • Every statement must be time-bounded and externally resolvable.
  7. 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".
  8. 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.

Statistics

Downloads 237
Stars 0
Current installs 2
All-time installs 2
Versions 1
Comments 0
Created Mar 18, 2026
Updated Mar 18, 2026

Latest Changes

v1.0.0 · Mar 18, 2026

- Initial release of hk-stock-predictor. - Analyzes Hong Kong-listed stocks using price action, fundamentals, technicals, southbound flows, AH premium, liquidity, and event catalysts. - Normalizes user input and builds structured, time-bounded, forecastable predictions. - Integrates with multiple data sources and prioritizes skills for HK-specific context. - Generates scenario analysis (bull/base/bear) and ranks prediction candidates. - Outputs include a structured object and a readable summary in both Chinese and English formats.

Quick Install

clawhub install hk-stock-predictor
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