vnpy

vn.py 开源量化交易框架 - 支持CTA、价差、期权策略，20+券商接口，覆盖国内外市场。

This package appears coherent with the vn.py trading framework, but take these precautions before installing or using it: - Verify provenance: the 'source' is unknown and repository fields are empty; prefer installing vnpy and gateways from the official vn.py GitHub or PyPI to avoid tampered packages. - Use an isolated Python virtualenv for installation and test with a demo/backtest account before connecting real broker accounts — trading frameworks can place live orders if configured with broker credentials. - Inspect any third-party packages (vnpy-ctp, gateways) you install, and confirm versions in requirements.txt match official releases. - Note minor metadata inconsistencies (owner/version fields differ between files) — this is not necessarily malicious but is a signal to validate the publisher. - If you will provide broker API keys or credentials to use gateways, treat them carefully (store in a secrets manager or environment limited to the process) and review gateway code for network endpoints and auth usage.

Type: OpenClaw Skill Name: vnpy Version: 1.0.2 The skill bundle provides comprehensive documentation and code examples for the vn.py quantitative trading framework, including CTA strategy templates, API references, and a basic initialization demo in demo_project/demo.py. The instructions in SKILL.md and README.md are consistent with the stated purpose of quantitative trading and include helpful guidance for AI agents on data validation and multi-step analysis without any signs of malicious prompt injection, data exfiltration, or unauthorized execution. All external links and dependencies (vnpy, vnpy-ctp) are standard for this ecosystem.