tdxquant

Develop quantitative trading strategies using the TongdaXin tqcenter Python API.

38|15|Updated Apr 3, 2026
One-click install
npx skills add https://github.com/nickliqian/tdxquant --skill tdxquant
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tdxquant
Source: https://github.com/nickliqian/tdxquant/tree/main
Command: npx skills add https://github.com/nickliqian/tdxquant --skill tdxquant

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

TdxQuant simplifies end-to-end quantitative strategy development with the TongdaXin tqcenter Python API, reducing the effort required to connect to market data, calculate signals, backtest ideas, monitor markets, and execute trades.

Core Features & Use Cases

  • Market and Financial Data: Retrieve K-lines, snapshots, financial indicators, sector data, ETF information, and convertible bond data.
  • Strategy Development: Build technical and fundamental stock screens, industry rotation strategies, TongdaXin formula workflows, and vectorbt backtests.
  • Monitoring and Notifications: Subscribe to real-time quotes, trigger conditional alerts, export backtest signals, and display data in the TongdaXin client.
  • Trading Operations: Query accounts, assets, positions, and orders, then place or cancel stock orders with simulation and live-trading safeguards.
  • Use Case: For example, screen a sector for MACD golden crosses, validate the signals with historical K-lines, add selected stocks to a custom sector, monitor them in real time, and optionally allocate available funds for orders.

Quick Start

Ask the skill to create a TongdaXin Python strategy that screens a specified stock pool, retrieves the required data, calculates signals, and generates either a backtest, alert workflow, or trade-ready script.

Frequently Asked Questions about tdxquant

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

FAQPage Schema
How do I backtest quantitative trading strategies using TongdaXin tqcenter?

TongdaXin tqcenter requires a running TQ-enabled terminal, a Python environment, and correct market and adjustment parameters. You must validate account handles, verify data limits, and ensure trading constraints are properly set before initiating live order management.

Can I screen Chinese stocks for MACD golden crosses and monitor them in real time?

TongdaXin tqcenter retrieves K-lines, snapshots, financial indicators, sector data, ETF information, and convertible bond data. Apply correct market and adjustment parameters to ensure accurate data retrieval and validate data limits during strategy development.

Does TongdaXin tqcenter work with vectorbt for backtesting strategies?

TongdaXin tqcenter trading operations query accounts, assets, positions, and orders, then place or cancel stock orders with simulation and live-trading safeguards. You can allocate available funds for orders after validating account handles and order responses.

Do I need a running TongdaXin terminal to execute quantitative orders?

TongdaXin tqcenter requires a running TQ-enabled terminal, a Python environment, and correct market and adjustment parameters. You must validate account handles, verify data limits, and ensure trading constraints are properly set before initiating live order management.

How do I retrieve financial indicators and sector data for quantitative stock screening?

TongdaXin tqcenter retrieves K-lines, snapshots, financial indicators, sector data, ETF information, and convertible bond data. Apply correct market and adjustment parameters to ensure accurate data retrieval and validate data limits during strategy development.

What are the limitations of automated order execution in TongdaXin tqcenter?

Automated order execution in TongdaXin tqcenter requires careful validation of account handles, order responses, data limits, and trading constraints. The skill includes simulation and live-trading safeguards but needs a running TQ-enabled terminal and correct market parameters to function properly.