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Found 197 Skills
This skill is based on the search capability of Eastmoney Miaoxiang, with intelligent source screening tailored for financial scenarios. It is used to obtain time-sensitive information or event-specific information, including news, announcements, research reports, policies, trading rules, specific events, various impact analyses, and non-common-sense information that requires external data retrieval. It prevents AI from referencing non-authoritative and outdated information when searching for financial scenario information.
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Japanese stock, market data, subscription, plan, data range, API availability, update time, data update, update timing, outdated data, latest data, data freshness, update schedule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
Analyze earnings call transcripts to extract forward-looking guidance, strategic focus areas, supply chain insights, and generate follow-up questions for deeper analysis.
SEC EDGAR filing analysis via Longbridge — 10-K annual report, 10-Q quarterly, 8-K material events, proxy statement, insider Form 4. Extracts risk factors, MD&A, non-recurring items, and investment signals. Triggers: "SEC文件", "SEC申报", "10-K", "10-Q", "8-K", "委托投票书", "Form 4", "MD&A", "风险因素", "内部人申报", "SEC文件", "SEC申報", "委託投票書", "風險因素", "內部人申報", "SEC filing", "10-K annual report", "10-Q quarterly", "8-K material event", "proxy statement", "Form 4 insider", "MD&A", "risk factors", "SEC EDGAR".
Major index real-time quotes via Longbridge Securities — Shanghai Composite, CSI 300, ChiNext, Hang Seng, NASDAQ, S&P 500, Dow Jones and more; supports price, change, volume, historical trend. Triggers: "上证指数", "沪深300", "创业板指", "恒生指数", "纳斯达克", "标普500", "道琼斯", "指数行情", "指数点位", "上證指數", "滬深300", "創業板指", "恒生指數", "納斯達克", "標普500", "道瓊斯", "指數行情", "Shanghai Composite", "CSI 300", "Hang Seng Index", "NASDAQ", "S&P 500", "Dow Jones", "index quote", "market index".
Server-side quantitative indicator runner via Longbridge Securities — execute Pine Script v6 syntax subset against historical K-line data on Longbridge servers without a local Python environment. Supports built-in indicators (MACD, RSI, Bollinger Bands, EMA, SMA, etc.) and custom calculation logic; results returned as JSON. Triggers: "量化指标", "Pine Script", "指标计算", "MACD计算", "RSI计算", "服务端指标", "指标脚本", "量化脚本", "技术指标运行", "量化指標", "指標計算", "MACD計算", "RSI計算", "服務端指標", "指標腳本", "quant indicator", "Pine Script", "indicator calculation", "run indicator", "server-side quant", "MACD script", "RSI calculation", "technical indicator runner", "quant run".
Generate a concise 4-5 page equity research earnings preview for a single company. Analyzes the most recent earnings transcript, competitor landscape, valuation, and recent news to produce a professional HTML report.
Update financial models with new data — quarterly earnings, management guidance, macro changes, or revised assumptions. Adjusts estimates, recalculates valuation, and flags material changes. Use after earnings, guidance updates, or when assumptions need refreshing. Triggers on "update model", "plug earnings", "refresh estimates", "update numbers for [company]", "new guidance", or "revise estimates".
8 finance skills. Trigger: financial modeling, market data, risk analysis, quantitative finance. Design: data sources, quantitative methods, and regulatory frameworks.
Quantitatively verify the long-term transmission/linkage relationship between Platinum and the Brazilian stock market (EWZ) using public market data, and output dual-axis charts, lead-lag analysis, correlation strength scores, and monitoring signals.
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).