Translate Vibe-Trading strategy logic into vnpy CtaTemplate Python classes.
npx skills add https://github.com/hxhyyy/Vibe-Trading --skill vnpy-export-hxhyyy
Please help me install this Agent Skill. Skill: vnpy-export Source: https://github.com/hxhyyy/Vibe-Trading/tree/main/agent/src/skills/vnpy-export Command: npx skills add https://github.com/hxhyyy/Vibe-Trading --skill vnpy-export-hxhyyy
This skill bridges the gap between Vibe-Trading research and production-grade execution by automatically converting strategy logic into the industry-standard vnpy CtaTemplate format.
Use the vnpy-export skill to generate a CtaTemplate strategy file from the current backtest configuration and save it to the artifacts directory.
High-intent search queries and answers about installing and using this skill.
To convert a Vibe-Trading strategy to vnpy CtaTemplate, this skill automatically translates signal logic and ArrayManager indicators into standardized Python classes runnable in the vnpy CTA Strategy App.
Yes, you can use this translation tool for A-share equities, futures, and crypto. It maps signal engines to ArrayManager indicators while handling specific execution conventions for each asset class.
The best way to deploy Vibe-Trading strategies to a live vnpy engine is generating standardized CtaTemplate strategy files, which integrate directly with the vnpy CTA Strategy App without manual rewriting.
No, you do not need to manually rewrite indicator calculations. The automated translation process maps Vibe-Trading signal logic directly into runnable Python classes with ArrayManager indicators.
Mapping signal engines to ArrayManager indicators works by translating Vibe-Trading logic into vnpy CtaTemplate Python classes, ensuring the generated strategy files integrate directly with the CTA Strategy App.
Limitations depend on mapping signal engines to ArrayManager indicators correctly for A-shares, futures, and crypto. You must ensure the specific parameter and execution conventions for each asset class are supported.
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