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tdxquant

Quant strategy development, backtesting, and automated stock trading

Builds complete quantitative trading strategies on the TongDaXin tqcenter Python API, covering market data retrieval, stock screening, backtesting, and live order placement. Eliminates manual API documentation lookups, parameter guesswork, and common pitfalls like wrong dividend types or batch formula return formats. Includes eight ready-to-run strategy patterns so users go from idea to executed trades faster.
npx skills add nickliqian/tdxquant --all -g -y

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Frequently Asked Questions

FAQPage Schema
How to install TdxQuant?โ–ผ

Run `npx skills add nickliqian/tdxquant --all -g -y` in your terminal to install this skill globally. You also need Python 3.7+ (64-bit) and the TongDaXin financial terminal running on your machine.

What can TdxQuant do for quant trading?โ–ผ

It covers the full quant workflow: fetching K-line and financial data, screening stocks by technical or fundamental indicators, backtesting with vectorbt, real-time price alerts, and placing live or simulated trade orders.

Can TdxQuant place real stock orders automatically?โ–ผ

Yes. It supports the full six-step trading flow from account handle to order placement and cancellation, for both live and simulated accounts. Fully automated live trading requires broker approval for the TQ interface.

Does TdxQuant work with Claude Code and Kiro?โ–ผ

Yes. It follows the standard SKILL.md format and activates automatically in Claude Code, Kiro, and compatible agents when you mention screening, backtesting, or order placement.

Do I need to know the tqcenter API to use it?โ–ผ

No. The skill embeds the full API reference, parameter constraints, and common pitfalls, so your agent generates correct strategy code from plain-English requests without you reading the documentation.

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