HKUDS/Vibe-Trading
Vibe-Trading is an AI-powered personal trading agent designed to assist with algorithmic trading, backtesting, and quantitative finance, leveraging large language models and multi-agent systems.
Awesome MCP › Finance & Trading
narumiruna/yfinance-mcp
Yahoo Finance MCP Server is a Model Context Protocol server that gives AI assistants access to Yahoo Finance data through the yfinance library. It is published on PyPI as yfmcp. The tool surface is broad. yfinance_get_ticker_info returns comprehensive data for a symbol, including company details, price data, valuation metrics, trading information, dividends, financials and governance data. Analyst coverage is split across several tools: yfinance_get_analyst_price_targets returns current price plus low, high, mean and median targets; yfinance_get_analyst_estimates returns consensus estimates, revision momentum, recommendations, growth estimates and earnings history, with a sections argument to select subsets and a max_rows cap, and metadata reporting row counts, truncation and any sections that were unavailable or failed, so one failed section does not discard the rest; yfinance_get_upgrades_downgrades lists upgrades, downgrades, initiations, reiterations and price target changes newest first, with firm name, previous and new grades and previous and new targets. yfinance_get_ticker_news returns recent articles and press releases with title, summary, date, provider and URL. yfinance_search queries quotes, news or both. yfinance_get_top ranks entities within one of eleven market sectors by top ETFs, mutual funds, companies, growth companies or performing companies. yfinance_screen runs Yahoo screeners, either by predefined key such as day_gainers or with a custom query tree of operator and operands nodes for equity, fund or ETF screens, with sorting, offset and size controls. Further documented capabilities cover income statement and balance sheet history, historical OHLCV price data as markdown tables, candlestick, VWAP and volume profile charts returned as WebP images, option chains with strikes, implied volatility and expirations, ownership data for major holders, institutions, funds and insiders, and look-through into ETF and mutual fund holdings. It is aimed at anyone doing market research from a chat client.
https://github.com/narumiruna/yfinance-mcp
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