Loading...
Loading...
Found 73 Skills
Systematic 100-point financial health scorecard for listed companies via Longbridge — five dimensions: profitability (ROE / net margin / gross margin), growth (revenue & net income YoY), financial health (debt ratio / current ratio / interest coverage), cash quality (operating CF / net income), operating efficiency (inventory & AR turnover days). Outputs a report card. Triggers: "财报体检", "财务体检", "财务评分", "财务健康", "盈利能力", "偿债能力", "运营效率", "现金质量", "财务综合评分", "上市公司体检", "財報體檢", "財務體檢", "財務評分", "財務健康", "盈利能力", "償債能力", "運營效率", "現金質量", "financial health check", "financial score", "profitability analysis", "solvency analysis", "operating efficiency", "cash quality", "company financial checkup".
Data financiera de 120K+ stocks globales: snowflake scores, valuation, financial health, dividend analysis, insider transactions. Sin API key.
Retrieve detailed balance sheet statement data including Total Assets, Current Assets, Non-Current Assets, Liabilities, Equity, and Net Debt for public companies. Use when analyzing financial position, capital structure, or leverage metrics.
Retrieve industry-specific P/E ratios using Octagon MCP. Use when comparing company valuations to specific industry peers, analyzing sub-sector valuations, and understanding niche market valuations beyond broad sector averages.
Global geopolitical macro analysis skill used by Sister Zheng. It is triggered when users need to analyze the impact of global geopolitical events on the A-share market, generate geopolitical and financial mapping reports, or require sharp and direct geopolitical strategy analysis. Keywords: geopolitics, geopolitics-driven, macro hedging, global situation, geopolitical arbitrage, geopolitical storm.
Apply the Capital Asset Pricing Model (CAPM) to estimate expected returns and assess risk-return tradeoffs. Use this skill when the user needs to calculate expected return on an asset, interpret beta as systematic risk exposure, evaluate whether an investment compensates for risk, or when they ask 'what return should I expect', 'what is the risk premium', or 'how does beta affect pricing'.
Analyze SaaS company valuation compression between funding rounds. Use this skill whenever the user asks about: how much a SaaS company's valuation multiple changed between rounds, why the ARR multiple compressed or expanded, comparing a company's compression to macro benchmarks, or explaining what drove valuation changes for any VC-backed software company. Trigger on phrases like "valuation compression", "ARR multiple", "round-to-round valuation", "multiple change", or when the user asks to compare a company's funding rounds. Always use this skill for any multi-round SaaS valuation analysis — do not try to answer from memory alone.
Comprehensive equity research analyst skill that orchestrates all Octagon financial analysis skills. Use when conducting full company analysis, writing initiation of coverage reports, performing due diligence, or creating investment recommendations with quantitative support.
Fetch the latest financial signals and transmission-chain analyses from DeepEar Lite. Use when the user needs immediate insights into financial market trends, stock performance factors, and reasoning from the DeepEar Lite dashboard.
Pre-earnings analysis skill — extracts prior guidance, tracks events, summarises earnings call Q&A, and generates a structured preview report (inline summary + DOCX) before a company reports quarterly results. Supports US, HK, and A-share markets. Triggers: "财报前瞻", "财报预览", "财报季准备", "财报要关注什么", "下季度财报", "业绩前瞻", "上季度指引", "电话会要点", "財報前瞻", "財報預覽", "財報季準備", "財報要關注什麼", "下季度財報", "業績前瞻", "上季度指引", "電話會要點", "earnings preview", "pre-earnings", "prior guidance", "earnings call Q&A", "NVDA earnings preview", "what to watch this earnings", "before earnings".
Academic backtesting framework for quantitative research. ~30 risk and performance ratios, 10 classes of indicators, event-driven engine with 6+ strategies, MPT optimizer, forward-looking simulation with Johnson SU + t-Copula, walk-forward CV, stress testing, fundamental analysis (Altman Z, Piotroski, DuPont). All flat Python + numpy.
Real-time stock sentiment analysis using Twitter/X data via Grok. Use when analyzing stock ticker sentiment, tracking retail investor mood, or gauging market reaction to events.