Market Data Skill

This skill provides access to financial market data.

Tools

get_stock_price

Fetches OHLCV (Open, High, Low, Close, Volume) data for a specific ticker.

Parameters:

• ticker (string): The stock symbol (e.g., "AAPL", "BTC-USD").
• timeframe (string): The data interval. Supported: '1d', '1wk', '1mo'. Default: '1d'.
• period1 (string, optional): Start date in YYYY-MM-DD format. Defaults to 30 days ago.
• period2 (string, optional): End date in YYYY-MM-DD format. Defaults to today.

Use this tool when the user asks for stock prices, historical data, chart data, or recent performance of a specific asset.

Examples:

• "Get daily data for Apple." -> get_stock_price({ ticker: 'AAPL', timeframe: '1d' })
• "Show me Bitcoin's weekly chart for the last year." -> get_stock_price({ ticker: 'BTC-USD', timeframe: '1wk', period1: '2023-01-01' })

get_crypto_price

Fetches current price and 24h volatility data for a crypto token.

Parameters:

• token (string): The token name or ID (e.g., "bitcoin", "solana", "ethereum").
• currency (string, optional): Target currency. Default: "usd".

Use this for checking crypto prices, volatility, and 24h changes.

Examples:

• "Price of Solana?" -> get_crypto_price({ token: 'solana' })
• "How is Bitcoin doing?" -> get_crypto_price({ token: 'bitcoin' })

fetch_economic_calendar

Fetches upcoming high-impact economic events (e.g., CPI, FOMC, GDP).

Parameters:

• importance (string, optional): Impact level filter. 'High', 'Medium', 'Low', 'All'. Default: 'High'.
• currencies (string, optional): Comma-separated currency codes (e.g., 'USD,EUR'). Default: All.

Use this to check for market-moving news or schedule risk.

Examples:

• "Any high impact news this week?" -> fetch_economic_calendar({ importance: 'High' })
• "Check USD and EUR calendar." -> fetch_economic_calendar({ currencies: 'USD,EUR' })

get_news_headlines

Fetches the latest 50 news headlines for a specific asset or topic.

Parameters:

• query (string): The search topic (e.g., "Apple Stock", "Bitcoin Regulation", "Nvidia Earnings").

Use this for sentiment analysis and staying updated on market narratives.

Examples:

• "Any news on Tesla?" -> get_news_headlines({ query: 'Tesla Stock' })
• "Latest crypto regulation updates?" -> get_news_headlines({ query: 'Crypto Regulation' })