Total 53,555 skills, Data Processing has 2763 skills
Showing 12 of 2763 skills
Graham cigar-butt (NCAV / net-net) single-stock diagnostic. Combines a 100-point static cheapness score (NCAV, PE, PB, dividend yield, debt coverage, earnings stability) with a dynamic adjustment layer (industry cycle, earnings trend, insider activity, NCAV trajectory) to separate real bargains from value traps. Pulls data from Longbridge CLI/MCP first, falls back to WebSearch only for gaps, runs cross-statement reconciliation (勾稽校验) before scoring, and footnotes every figure to its source. Triggers: "格雷厄姆", "捡烟蒂", "烟蒂股", "烟蒂投资", "NCAV", "净流动资产", "清算价值", "安全边际", "价值陷阱", "深度价值", "撿煙蒂", "煙蒂股", "煙蒂投資", "淨流動資產", "清算價值", "安全邊際", "價值陷阱", "深度價值", "Graham", "cigar butt", "net-net", "liquidation value", "value trap", "margin of safety", "deep value", "Benjamin Graham".
Risk measurement and stress testing via Longbridge — computes VaR (historical simulation / parametric), CVaR (expected shortfall), max drawdown, Sharpe ratio, Calmar ratio, and runs historical scenario stress tests (2008 GFC, 2020 COVID crash, 2022 rate-hike cycle). Triggers: "风险分析", "VaR", "压力测试", "最大回撤", "夏普比率", "CVaR", "历史情景", "尾部风险", "风险测量", "風險分析", "壓力測試", "最大回撤", "夏普比率", "歷史情景", "尾部風險", "風險測量", "risk analysis", "VaR value at risk", "CVaR", "stress test", "max drawdown", "Sharpe ratio", "Calmar ratio", "tail risk", "historical scenario".
US ETF capital-flow analysis via Longbridge Securities — tracks institutional money migration via ETF creation/redemption changes, sector breadth signals, and thematic momentum. Analyses major SPDR sector ETFs (XLK / XLF / XLE / XLV etc.) for net inflow / outflow to gauge industry rotation and risk-appetite shifts. Triggers: "ETF资金流", "ETF流向", "美国ETF", "板块ETF", "XLK", "XLF", "XLE", "机构资金迁移", "行业轮动信号", "ETF資金流", "ETF流向", "美國ETF", "板塊ETF", "機構資金遷移", "ETF flow", "US ETF flow", "sector ETF", "SPDR", "institutional flow", "sector rotation signal", "ETF inflow outflow", "fund flow".
Splunk integration. Manage data, records, and automate workflows. Use when the user wants to interact with Splunk data.
Full blockchain ecosystem analysis covering TVL, top protocols, bridge flows, stablecoin supply, DEX volume, fees, and user activity on a chain. Use when the user asks about a blockchain's ecosystem, "what's happening on Solana", chain health, or a chain-level overview.
Macrometa integration. Manage data, records, and automate workflows. Use when the user wants to interact with Macrometa data.
Discover and explore databases, tables, columns, and data shares in MotherDuck. Use when you need to understand what data is available, preview table contents, or search the data catalog.
Salesforce DMP integration. Manage data, records, and automate workflows. Use when the user wants to interact with Salesforce DMP data.
Design, build, and optimize dashboards for RIA practice management with AUM tracking, revenue analytics, and KPI frameworks. Use when the user asks about tracking firm-level metrics, monitoring advisor productivity, measuring organic growth rate, analyzing client retention and attrition, building executive or branch manager views, setting up exception alerts for NIGO or rebalancing drift, benchmarking against industry peers, or designing role-based dashboard access. Also trigger when users mention 'how is the practice doing', 'revenue per advisor', 'client attrition', 'net new assets', 'effective fee rate', 'practice benchmarking', 'AUM growth decomposition', 'advisor capacity', or 'referral tracking'.
Analyze equity securities, factor models, and equity portfolio construction. Use when the user asks about stocks, equity valuation ratios, index construction methods, or style analysis. Also trigger when users mention 'P/E ratio', 'growth vs value', 'market cap weighting', 'sector allocation', 'GICS classification', 'earnings per share', 'Fama-French factors', 'CAPM', 'dividend yield', 'PEG ratio', 'EV/EBITDA', or ask which factors explain equity returns.
Track and analyze e-commerce sales performance across platforms. Set up KPI dashboards, trend analysis, and performance alerts to catch issues and opportunities early.
Valuation and pricing framework focusing on valuation analysis / pricing logic / investment decisions. This Skill is mainly applied in scenarios such as answering user questions, writing reports, and creating financial articles. This report generates extensive content and is not suitable for simple conversation scenarios. Various information and data can be obtained via the wind.financial.data tool using appropriate keywords or keyword combinations. Users want to know how to value a company, the level of its current valuation, why the market is willing to assign this valuation, and whether there is room for revaluation.