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Found 48 Skills
Investment idea generation — systematically surfaces new investment opportunities by combining quantitative screening (low valuation / high momentum / improving fundamentals), thematic research (sector trends / policy catalysts), and pattern recognition (historical analogues), producing a long/short candidate list. Triggers: "投资想法", "选股灵感", "投资机会", "找股票", "发掘机会", "多头机会", "空头机会", "主题投资", "投資想法", "選股靈感", "投資機會", "找股票", "多頭機會", "空頭機會", "主題投資", "investment ideas", "stock ideas", "investment opportunities", "idea generation", "long ideas", "short ideas", "thematic investing", "stock discovery", "find me stocks", "what should I buy".
Daily morning briefing — writes a concise pre-market morning brief summarising overnight major moves (US/HK close, A-share pre-market signals), key events on the watchlist, today's catalysts (earnings / economic data / policy), and a trading ideas overview. Triggers: "晨会", "晨报", "早报", "早盘", "盘前简报", "今日重点", "开盘前", "晨会纪要", "晨會", "晨報", "早報", "盤前簡報", "今日重點", "開盤前", "晨會紀要", "morning brief", "morning call", "pre-market brief", "daily briefing", "market morning", "opening summary", "today's focus", "AM brief", "morning meeting".
Investment thesis tracker — maintains and updates the investment thesis for portfolio holdings and watchlist names by continuously tracking key data points (revenue growth, gross margin, user metrics), catalyst progress (new products, expansion, policy), and risk milestones, then renders a verdict on whether the thesis still holds. Triggers: "投资逻辑", "Thesis追踪", "投资假设", "逻辑验证", "跟踪持仓", "买入逻辑", "持仓理由", "投資邏輯", "Thesis追蹤", "投資假設", "邏輯驗證", "追蹤持倉", "investment thesis", "thesis tracking", "investment hypothesis", "thesis validation", "thesis check", "investment rationale", "position monitoring", "thesis intact", "is my thesis still valid".
Pitch-book company profile page via Longbridge — generates a professional company profile for trading materials and client presentations: positioning quadrant (market position / growth), business highlights, key financial matrix (revenue / EBITDA / net income / EPS / PE / EV), price trend description, major shareholders and management, recent catalysts. More presentation-focused and investment-banking oriented than longbridge-company-tearsheet. Triggers: "公司画像", "公司简介页", "投行公司页", "公司展示", "公司描述", "公司介绍页", "公司信息页", "公司畫像", "公司簡介頁", "投行公司頁", "pitch book", "company profile page", "company profile", "company description", "investor profile", "company slide", "company overview page", "pitch book company page".
Company tear sheet / one-pager via Longbridge Securities — generates a high-density 1–2 page company snapshot: business overview, key financials (revenue / net income / EPS / ROE), valuation multiples (PE / PB / EV-EBITDA), price performance, major shareholders, and recent catalysts. Triggers: "公司单页", "公司快照", "公司简报", "公司画像", "一页纸分析", "公司概要", "股票简报", "公司單頁", "公司快照", "公司簡報", "公司畫像", "一頁紙分析", "company tearsheet", "company profile", "company snapshot", "one-pager", "company brief", "stock summary", "company factsheet".
Industry / sector panorama report — generates a comprehensive industry overview covering market dynamics, competitive landscape, key players, thematic trends, valuation ranges, and catalysts/risks. Outputs industry sizing, growth rate, major-player market share estimates, and valuation bands. Triggers: "行业概览", "行业报告", "板块报告", "行业全景", "竞争格局", "行业分析", "板块分析", "行業概覽", "行業報告", "板塊報告", "行業全景", "競爭格局", "industry overview", "sector overview", "industry report", "sector analysis", "market landscape", "competitive landscape", "industry sizing", "sector deep dive", "semiconductor industry", "AI sector overview".
Symbolicate .NET runtime frames in Apple platform .ips crash logs (iOS, tvOS, Mac Catalyst, macOS). Extracts UUIDs and addresses from the native backtrace, locates dSYM debug symbols, and runs atos to produce function names with source file and line numbers. Automatically downloads .dwarf symbols from the Microsoft symbol server using Mach-O UUIDs. USE FOR triaging a .NET MAUI or Mono app crash from an .ips file on any Apple platform, resolving native backtrace frames in libcoreclr or libmonosgen-2.0 to .NET runtime source code, retrieving .ips crash logs from a connected iOS device or iPhone, or investigating EXC_CRASH, EXC_BAD_ACCESS, SIGABRT, or SIGSEGV originating from the .NET runtime. DO NOT USE FOR pure Swift/Objective-C crashes with no .NET components, or Android tombstone files. INVOKES Symbolicate-Crash.ps1 script, atos, dwarfdump, idevicecrashreport.
Aggregated news, regulatory filings, and Longbridge-community discussion for a single stock — classified into catalyst / regulatory / strategic / financial / opinion / other, with a fact-only key-takeaway summary and a sentiment skew. Falls back to WebSearch only when data is sparse or stale, and labels the source. Triggers: "X 最近新闻", "X 公告", "市场对 X 财报怎么看", "X 社区讨论", "X 公司动态", "市场情绪", "最近怎么了", "X 最近新聞", "X 公告", "市場對 X 財報怎麼看", "X 社區討論", "recent news", "company filings", "market reaction", "what is everyone saying about X", "community sentiment", "8-K", "港交所披露", "earnings reaction".
Event-driven investment strategy — identify and analyse corporate events (M&A, spinoffs, buybacks, index rebalancing, lockup expiry) that create pricing dislocations. Framework: event identification → sentiment scoring → historical price reaction → position sizing. Uses Longbridge news / filings / calendar data as signal inputs. Triggers: "事件驱动", "并购套利", "指数调整", "解禁套利", "事件策略", "公司事件策略", "事件投资", "套利机会", "事件驅動", "並購套利", "指數調整", "解禁套利", "事件策略", "公司事件策略", "event-driven", "event strategy", "merger arbitrage", "index rebalancing", "lockup expiry", "event investing", "corporate event trading", "special situation", "spinoff", "buyback catalyst".
Interpret the impact paths, beneficiary directions, and execution uncertainties of policy news on industries, themes, and individual stocks, helping to distinguish between real policy catalysts and noise disturbances. Suitable for periods of intensive policy releases, rapid news judgment, and sector opportunity identification.
Retrieve a daily overview of industry performance using Octagon MCP. Use when analyzing daily price movements, average changes, and performance trends for specific industries within an exchange.
Build pre-earnings analysis with estimate models, scenario frameworks, and key metrics to watch. Use before a company reports quarterly earnings to prepare positioning notes, set up bull/bear scenarios, and identify what will move the stock. Triggers on "earnings preview", "what to watch for [company] earnings", "pre-earnings", "earnings setup", or "preview Q[X] for [company]".