Core Competitive Advantages
- Open source and free: Fully open source based on the MIT protocol, no cost of use
- Localization Support: Specially designed for the Chinese financial market, supporting mainstream domestic interfaces
- full-featured:: Complete solutions from data to transactions
- Flexible Expansion: Python development environment for secondary development
Comparison of technical features
- event-driven architecture:: More efficient than polling mode
- distributed support:: Provide cross-process communication components
- Algorithmic Trading Integration: Built-in intelligent algorithms such as TWAP
Ecological advantages
- Active Community:: Ongoing updates and maintenance on GitHub
- Abundant teaching resources: Suitable as a quantitative learning platform
- Wide range of applications:: Accessible from individual investors to institutions
limitations
Compared to commercial software, VeighNa still has room for improvement in terms of visual backtesting reports, very low latency trading, etc., but its open source nature and continuous iteration make it the preferred solution in the quantitative trading space.
This answer comes from the articleVeighNa: a popular open source quantitative trading framework in ChinaThe































