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miniqmt

Retrieve and process financial data from MiniQMT/xtquant using Python.

33|2|Updated May 13, 2026
Search Tags:#financial data#financial analysis#data retrieval#xtquant#MiniQMT
One-click install
npx skills add https://github.com/adennng/stock_strategy_lab --skill miniqmt
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: miniqmt
Source: https://github.com/adennng/stock_strategy_lab/tree/main/src/strategy_lab/skills/data_agent/miniqmt
Command: npx skills add https://github.com/adennng/stock_strategy_lab --skill miniqmt

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires xtquant, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies the process of fetching and processing various financial data, including stock prices, financial statements, and sector information, using MiniQMT/xtquant.

Core Features & Use Cases

  • Data Fetching: Retrieve historical and real-time data for stocks, indices, ETFs, bonds, futures, and other financial instruments.
  • Financial Statements: Download and read balance sheets, income statements, and cash flow statements.
  • Sector Information: Access sector lists, component stocks, and index information.
  • Use Case: If you need to analyze a stock's price history, this Skill can fetch the historical prices in OHLCV format and store them in a parquet file for further analysis.

Quick Start

Use the miniqmt skill to fetch daily OHLCV data for the stock '000001.SZ' from January 1, 2023, to January 31, 2023, and save it as '000001_ohlcv_data.parquet'.

Frequently Asked Questions about miniqmt

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

FAQPage Schema
How do I fetch historical stock prices using xtquant?▼

Fetch historical stock prices using xtquant by requesting daily OHLCV data for specific tickers, then save the retrieved market data directly into a parquet file for quantitative analysis.

Can I download financial statements like balance sheets with MiniQMT?▼

Download financial statements with MiniQMT by automating the retrieval and processing of balance sheets, income statements, and cash flow statements for fundamental financial analysis workflows.

What financial instruments does MiniQMT support for data retrieval?▼

MiniQMT supports data retrieval for stocks, indices, ETFs, bonds, and futures, automating the process of fetching both historical and real-time market data for these financial instruments.

Do I need Python to use xtquant for financial data processing?▼

Python is required to use xtquant for financial data processing, as scripting in Python is necessary to automate the retrieval and processing workflows from the MiniQMT API.

How do I get sector information and component stocks with xtquant?▼

Access sector information and component stocks with xtquant by retrieving sector lists, constituent stocks, and index information, providing the necessary data for building sector-specific quantitative trading strategies.

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