Analyze LHB data to identify hot-money seating signals and generate Markdown reports.
npx skills add https://github.com/wbh604/UZI-Skill --skill lhb-analyzer
Please help me install this Agent Skill. Skill: lhb-analyzer Source: https://github.com/wbh604/UZI-Skill/tree/main/skills/lhb-analyzer Command: npx skills add https://github.com/wbh604/UZI-Skill --skill lhb-analyzer
提供对龙虎榜数据的深度分析，识别游资席位和机构与游资博弈关系，并对照同板块龙头，帮助投资决策。
Provide a stock ticker to generate an LHB analysis report and seating signals.
High-intent search queries and answers about installing and using this skill.
The Skill detects hot-money seating signals from LHB data by cross-referencing a seat encyclopedia to reveal fund-style dynamics. It identifies institutional and hot-money gaming relationships to spot board leadership consensus.
Yes, you can run LHB board analysis to compare sector leaders. The Skill applies board-wide comparisons to surface distinct leaders and consensus among stocks, generating structured Markdown reports to assist investment decisions.
Yes, Python tooling is required to fetch LHB data for analysis. The Skill depends on Python scripts including fetch_lhb.py and lib/seat_db.py to execute seat identification and generate structured Markdown analysis reports.
Spotting fund dynamics requires analyzing microstructure seat identification from LHB records. The Skill cross-references hot-money seating signals against institutional activity to expose fund-style relationships and board leadership consensus.
Yes, LHB seat identification works for individual stock tickers. You provide a stock ticker to generate an LHB analysis report and seating signals, or apply it to board-wide comparisons for broader sector analysis.
LHB analysis specifically targets hot-money seats and institutional gaming relationships, unlike general stock-analysis tools. It uses a dedicated seat encyclopedia to decode microstructure seating signals and reveal fund-style dynamics within a board.
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