Access XtQuant data, trading, and backtesting APIs from Python.
npx skills add https://github.com/nnquant/miniqmt-skills --skill miniqmt-skills
Please help me install this Agent Skill. Skill: miniqmt-skills Source: https://github.com/nnquant/miniqmt-skills/tree/main Command: npx skills add https://github.com/nnquant/miniqmt-skills --skill miniqmt-skills
XtQuant is a Python strategy runtime framework based on MiniQMT that provides the necessary market data, trading, and backtesting APIs, enabling developers to build and test quant strategies end-to-end.
Run a simple XtQuant-enabled script to connect to MiniQMT, subscribe to data, and execute a test trade.
High-intent search queries and answers about installing and using this skill.
To get historical K-line and tick market data using XtQuant, you utilize the xtdata module. It provides the necessary APIs to subscribe to and retrieve real-time and historical market data, including financials and sector information, directly from the MiniQMT data server.
Yes, you can automate order placement and account querying with XtQuant by using the xttrader module. It handles order placement, cancellations, and receives trade notifications, enabling fully automated trading workflows within your Python strategy.
XtQuant does support backtesting for quant trading strategies. It provides a strategy runtime framework based on MiniQMT, allowing developers to build, test, and refine automated trading strategies end-to-end before live execution.
To connect a Python script to MiniQMT for data subscription, you need the XtQuant framework configured with a root SKILL.md containing YAML frontmatter. This setup enables access to the xtdata and xttrader APIs for executing automated workflows.
XtQuant APIs facilitate VIP data server integration and data subscription, but they require a MiniQMT environment to function. The framework is specifically designed for quant trading development, meaning it is not suitable for general-purpose data extraction outside this context.
You use XtQuant for quant trading because it directly bridges Python scripts to MiniQMT's data, trading, and backtesting APIs. Unlike generic frameworks, it provides specialized xtdata and xttrader modules for processing market data and executing trades natively.
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