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Found 170 Skills
Tushare is a financial data interface package with rich data content, including market data such as stocks, funds, futures, digital currencies, and fundamental data such as corporate finance and fund managers. This skill is designed for proxy access scenarios, and the interface calling syntax is consistent with the official Tushare Pro.
A Tushare data research skill for Chinese natural language. It converts requests like "How has this stock been performing lately?", "Help me check the financial report trend", "Which sector is the strongest recently?", "What are northbound funds buying?", "Export a market data report for me" into executable workflows for data acquisition, cleaning, comparison, filtering, export, and brief analysis. It applies to research scenarios such as A-shares, indices, ETFs/funds, finance, valuation, capital flows, announcements & news, sector concepts, and macroeconomic data.
港股通数据查询。港股通Top10、每日成交、持仓数据。 当用户询问"港股通Top10""北向资金""南向持仓""港股通成交"时触发。
C-optimized technical analysis with 150+ functions and 61 candlestick pattern recognition functions via TA-Lib
Retrieve year-over-year growth in balance sheet items including Total Assets, Total Liabilities, Shareholders Equity, Cash, and Inventories. Use when analyzing company financial position trends, capital structure changes, or liquidity management.
Root-cause a reconciliation break to its source transaction or posting — follow the audit trail from the break row back to the originating entry on each side and state what differs and why. Use after gl-recon has classified a break.
Datos de CBOE via APIs publicas: cotizaciones delayed de indices, futuros VX, charts intraday, most-active, market summary (equities + opciones), symbol lookup, futures products. Sin API key.
Institution ratings, consensus price targets, EPS/revenue forecasts, finance calendar, shareholder data, fund holders, insider trades (SEC Form 4), short interest, industry rankings, peer group analysis via Longbridge. Frameworks: investment proposals, coverage initiation, stock research, competitive analysis, financial planning, and DeFi/on-chain analysis. Triggers: "机构评级", "目标价", "一致预期", "EPS预测", "内部人交易", "空头", "行业排名", "投资提案", "首次覆盖", "竞争格局", "财务规划", "DeFi收益", "链上数据", "機構評級", "目標價", "一致預期", "內部人交易", "空頭", "投資提案", "首次覆蓋", "競爭格局", "鏈上數據", "analyst rating", "price target", "consensus", "insider trades", "short interest", "coverage initiation", "DeFi yield", "on-chain", "earnings calendar", "finance calendar", "财报日历", "下周谁财报", "下周财报", "下周有哪些财报", "哪些财报", "谁财报", "FOMC", "非农", "股东", "谁持有", "股東", "基金持仓", "基金持倉", "機構評級", "目標價", "財務規劃"
Automatically crawl financial statements and operational disclosures (production volume, costs, capital expenditures) of mining companies from the web, back-calculate the fundamental explanations and interval thresholds (e.g., 1.2/1.7) of the "Mining Stock/Metal Price Ratio", and output reproducible valuation decomposition (cost factor / leverage factor / multiple factor / dilution factor).
Best practices for Open Finance data retrieval and management. Use when working with accounts, transactions, investments, loans, or identity data.
Build and deploy agentic finance applications on the Alva platform. Access 250+ financial data sources (crypto, equities, macro, on-chain, social), run cloud-side analytics, backtest trading strategies, and release interactive playbooks -- all from your AI agents.
Decompose Return on Equity into component ratios to identify performance drivers. Use for financial analysis, performance benchmarking, and identifying improvement opportunities.