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Found 196 Skills
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".
Earnings transcripts completos via API publica de EarningsWhispers. Sin anti-bot, sin auth. 33,500+ stocks globales trackeados. Test ok en mas de 60 tickers, AAPL, MSFT, GGAL, SHEL, TM, VALE etc
Investing.com via HTML scrape: cotizaciones, historico OHLCV, fundamentals (income/balance/cashflow/ratios), dividendos, earnings, perfil de empresa. 81K+ equities, 344 commodities, 10K indices, 2.4K currencies, 10K ETFs, 4.1K cryptos. Cobertura global.
Scraper de datos de Nasdaq.com via API REST interna: cotizaciones, short interest, financials, institutional holdings, opciones, noticias. Sin API key.
This skill retrieves upcoming earnings announcements for US stocks using the Financial Modeling Prep (FMP) API. Use this when the user requests earnings calendar data, wants to know which companies are reporting earnings in the upcoming week, or needs a weekly earnings review. The skill focuses on mid-cap and above companies (over $2B market cap) that have significant market impact, organizing the data by date and timing in a clean markdown table format. Supports multiple environments (CLI, Desktop, Web) with flexible API key management.
Retrieve detailed revenue breakdown by product segment for public companies. Use when analyzing product mix, revenue concentration, segment contribution, or business line performance.
Identify key themes and concerns raised by analysts during earnings calls, including specific analyst attribution and topic categorization.
Unified query of financial data such as stocks and cryptocurrencies. Supports multiple data sources including Yahoo Finance, Alpha Vantage, Tushare, and Binance. Used when users need market data, quotes, and financial data.
Smart CSV importer with format auto-detection. Handles major banks in Canada and US, plus payment platforms (Stripe, PayPal, Wise, WeChat Pay, Alipay) and browser-assisted exports gathered through `/cfo-statement-export`. Use when importing bank or credit card CSV exports. CLEAR step: C (Capture)
Build and execute commands to obtain Japanese stock market data with J-Quants CLI (jquants). It supports acquisition of stock prices, OHLCV candlesticks, minute bars, tick data, margin trading balances, short selling ratios, futures, options, financial statements, dividends, TOPIX and index data. It also supports checking API availability and obtainable data periods (Free/Light/Standard/Premium) for each plan. Triggers: jquants, J-Quants, stock price, stock price data, ticker, OHLCV, minute bar, JPX, TSE, TOPIX, Nikkei 225, futures, options, derivatives, short selling, margin trading, dividend, financial statements, financial results, PER, PBR, ROE, index, bulk download, Japanese stock, market data, subscription, plan, data range, API availability, update time, data update, update timing, outdated data, latest data, data freshness, update schedule
Detect and classify candlestick patterns from ingested OHLCV data