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Mercado Bursatil Argentino

@franciscoquinteros

关于 Mercado Bursatil Argentino

Un servicio API para consultar cotizaciones históricas y actuales del mercado bursátil argentino utilizando datos de Yahoo Finance. Ofrece acceso a precios, variaciones y estadísticas de acciones, bonos y otros instrumentos financieros que cotizan en el mercado argentino.

基本信息

分类

其他

传输方式

stdio

发布者

franciscoquinteros

提交者

Francisco Quinteros

配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块,请前往代码仓库查看安装说明。

代码仓库

工具

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概览

What is Mercado Bursatil Argentino?

Mercado Bursatil Argentino is an MCP server that acts as an assistant specialized in analyzing the Argentine stock market. It uses the yfinance library to obtain real‑time data and perform financial calculations.

How to use Mercado Bursatil Argentino?

Upload the JSON configuration file mcp-mercado-argentino.json to mcp.so, log in with GitHub or Discord, paste the JSON in “Create MCP” or upload the file, then test and share the server.

Key features of Mercado Bursatil Argentino

  • Query historical and current prices of Argentine stocks
  • Performance and volatility analysis
  • Financial ratio calculations: Sharpe, Sortino, drawdown
  • Comparison between assets and indices (e.g., MERVAL)
  • Market report generation and correlation matrix

Use cases of Mercado Bursatil Argentino

  • Analyze how a specific Argentine stock (e.g., GGAL) performed over the last three months
  • Identify Argentine assets with the highest annual return
  • Calculate the beta of ALUA relative to the MERVAL index
  • Generate a correlation matrix among stocks like GGAL, YPFD, and PAMP

FAQ from Mercado Bursatil Argentino

What data source does the server use?

It uses the yfinance library to obtain real‑time market data.

What are the runtime requirements?

Python 3.8+ and packages: yfinance, pandas, numpy, matplotlib.

How is the server installed or configured?

It is configured by uploading a specific JSON file (mcp-mercado-argentino.json) to a cloud platform (mcp.so). No local installation instructions beyond installing the required Python packages are provided.

What are the example questions the server can answer?

Examples include: “How did GGAL perform in the last 3 months?”, “Show me Argentine assets with the highest annual return”, “What is the beta of ALUA relative to the MERVAL?”, and “Calculate the correlation matrix between GGAL, YPFD, and PAMP”.

What license is the server under?

MIT – “Use it, improve it, share it.”

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