SuperAPI AI Directory

lhb-analyzer

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Updated 10-16 01:26

About this skill

Deep Dragon-Tiger List analysis

Call context

Input: stock code or stock name Output: Dragon-Tiger List analysis + hot-money identification + same-sector comparison

Data flow

  1. Call scripts/fetch_lhb.py {ticker} to get the raw Dragon-Tiger List data
  2. Call lib/seat_db.py::match_seats_in_lhb() to identify hot-money seats
  3. Use lib/seat_db.py::is_in_range() to determine whether that hot money is within range
  4. Fetch the Dragon-Tiger Lists of the same sector for comparison (to find the sector's most recognizable leader)

Output markdown structure

# {name} ({ticker}) 龙虎榜分析

📅 On the list X times in the past 30 days

(list)

🐉 Identified hot money (Y seats)

Hot money Style In range or not Buy / Sell
Zhang Mengzhu Large-capital trend ✅ In range Buy ¥120 million
Foshan Wuyingjiao One-day trip ❌ Not in range Sell ¥30 million (reverse warning)

⚖️ Institutions vs. hot money

  • Institutional net buying: ¥X hundred million
  • Hot-money net buying: ¥Y hundred million
  • Dominant side: {institutions / hot money}

🏆 Most recognizable leader in the same sector

Rank Code Name Times on the list Cumulative gain
1 ... ... ... ...

This stock's position in the sector: No. N

💡 One-sentence conclusion

"This is an institution-led stock with Zhang Mengzhu's grand style, ranked No. 2 in sector recognition; you can follow it."


## 参考资料

详细的 22 位游资席位百科见 `references/seat-encyclopedia.md`。