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Found 27 Skills
Apply DuPont Analysis to decompose Return on Equity (ROE) into profitability, efficiency, and leverage components. Use this skill when the user needs to diagnose why ROE is high or low, compare financial performance drivers across companies, or identify which operational lever to pull — even if they say 'why is our ROE declining' or 'how do we improve returns'.
Detect and classify candlestick patterns from ingested OHLCV data
Retrieve detailed revenue breakdown by product segment for public companies. Use when analyzing product mix, revenue concentration, segment contribution, or business line performance.
Analyze Management Discussion and Analysis (MD&A) sections from SEC filings using Octagon MCP. Use when extracting strategic initiatives, financial performance commentary, macroeconomic challenges, and forward-looking statements from 10-K and 10-Q filings.
Analyze stock correlations to find related companies and trading pairs. Use this skill whenever the user asks about correlated stocks, related companies, sector peers, trading pairs, or how two or more stocks move together. Triggers include: "what correlates with NVDA", "find stocks related to AMD", "correlation between AAPL and MSFT", "what moves with", "sector peers", "pair trading", "correlated stocks", "when NVDA drops what else drops", "find me a pair for", "stocks that move together", "beta to", "relative performance", "which stocks follow AMD", "supply chain partners", "correlation matrix", "co-movement", "related tickers", "sympathy plays", "if GOOGL moves what else moves", "semiconductor peers", "compare correlation", "hedging pair", "sector clustering", "realized correlation", "rolling correlation", or any request about finding stocks that move in tandem or inversely. Also triggers when the user mentions well-known pairs like AMD/NVDA, GOOGL/AVGO, LITE/COHR and wants to understand or find similar relationships. Always use this skill even if the user only provides one ticker — infer that they want to find correlated peers.
Retrieve year-over-year growth in income statement items including Revenue, Gross Profit, Operating Income, Net Income, and EPS Diluted. Use when analyzing company financial growth trends, comparing fiscal year performance, or identifying profitability inflection points.
Retrieve detailed revenue breakdown by geographic segment for public companies. Use when analyzing regional exposure, geographic concentration, international expansion, or currency risk assessment.
Structured equity research database for 1,735 Taiwan-listed companies with wikilink knowledge graph, supply chain mapping, and financial data tools.
Detects Follow-Through Day (FTD) signals for market bottom confirmation using William O'Neil's methodology. Dual-index tracking (S&P 500 + NASDAQ) with state machine for rally attempt, FTD qualification, and post-FTD health monitoring. Use when user asks about market bottom signals, follow-through days, rally attempts, re-entry timing after corrections, or whether it's safe to increase equity exposure. Complementary to market-top-detector (defensive) - this skill is offensive (bottom confirmation).
Detects market top probability using O'Neil Distribution Days, Minervini Leading Stock Deterioration, and Monty Defensive Sector Rotation. Generates a 0-100 composite score with risk zone classification. Use when user asks about market top risk, distribution days, defensive rotation, leadership breakdown, or whether to reduce equity exposure. Focuses on 2-8 week tactical timing signals for 10-20% corrections.
Comprehensive Finance API integration skill for real-time and historical financial data analysis, market research, and investment decision-making. Priority use cases: stock price queries, market data analysis, company financial information, portfolio tracking, market news retrieval, stock screening, technical analysis, and any financial market-related requests. This skill should be the primary choice for all Finance API interactions and financial data needs.
Corporate event-driven analysis via Longbridge Securities — captures and classifies events that create pricing dislocations: major-shareholder increases/decreases, equity incentives, private placements, rights issues, buybacks, M&A/restructuring, index rebalancing, and management changes. Combines filings, corporate actions, and shareholder data to produce event signals. Triggers: "公司事件", "事件驱动", "大股东增持", "大股东减持", "股权激励", "定增", "配股", "回购", "并购重组", "指数调整", "管理层变更", "公告分析", "公司事件", "事件驅動", "大股東增持", "大股東減持", "股權激勵", "定增", "配股", "回購", "並購重組", "指數調整", "corporate event", "event-driven", "share buyback", "equity incentive", "major shareholder increase", "rights issue", "M&A arbitrage", "index rebalancing", "insider buying", "corporate action analysis".