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.