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MX_FinData

Retrieve real-time financial data and indicators via natural language queries.

Updated Apr 12, 2026
Search Tags:#financial data#market analysis#data retrieval#investment research#real-time prices#financial reporting
One-click install
npx skills add https://github.com/caoqiubozhangchenqin2/qclaw --skill mx-findata
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: MX_FinData
Source: https://github.com/caoqiubozhangchenqin2/qclaw/tree/main/skills/mx-findata
Command: npx skills add https://github.com/caoqiubozhangchenqin2/qclaw --skill mx-findata

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires httpx, pandas, openpyxl, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill enables users to retrieve detailed and real-time financial data by simply describing their information needs in natural language.

Core Features & Use Cases

  • Data Retrieval: Support for querying real-time market prices, company reports, and financial indicators across various asset classes.
  • Flexible Querying: Handles multi-entity, multi-metric, and time-range requests within specified constraints, allowing in-depth analysis for investment research, industry analysis, and reporting.
  • Use Case: Example: "Fetch the latest trading data for stocks A and B and compare their P/E ratios over the past three months." Users can automate data gathering for financial modeling or market surveillance.

Quick Start

Ask it to find the latest financial data for a specific stock or index, such as 'What is the current price of Tesla?'.

Frequently Asked Questions about MX_FinData

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I retrieve real-time financial data using natural language?▼

Yes, this Skill supports comparing multiple financial metrics across different entities. You can specify multi-entity, multi-metric, and time-range requests to gather comparative data for investment research and in-depth market analysis.

What do I need to query real-time market prices for stocks?▼

This Skill can retrieve comprehensive data for market research, asset evaluation, and financial reporting. It covers multiple asset classes, allowing you to automate data gathering for financial modeling, market surveillance, and detailed investment decision-making.

Does financial data retrieval work with Python data analysis libraries?▼

This natural language data retrieval approach eliminates manual API querying and complex syntax. It allows you to instantly access structured financial market data by simply describing your needs, streamlining the data gathering process for investment research.

What are the limitations of retrieving financial data via natural language queries?▼

Yes, you can automate financial data gathering for market surveillance. By specifying multi-entity and time-range constraints in your natural language query, the Skill fetches structured data suitable for continuous market monitoring and financial modeling.

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