Translate Vibe-Trading strategy logic into vnpy CtaTemplate Python classes.
npx skills add https://github.com/0xZKnw/vibe-trading-tap --skill vnpy-export-0xzknw
Please help me install this Agent Skill. Skill: vnpy-export Source: https://github.com/0xZKnw/vibe-trading-tap/tree/main/agent/src/skills/vnpy-export Command: npx skills add https://github.com/0xZKnw/vibe-trading-tap --skill vnpy-export-0xzknw
This skill bridges the gap between Vibe-Trading's research environment and the vnpy quant framework, allowing users to seamlessly transition from strategy backtesting to live trading or production-grade backtesting in the vnpy ecosystem.
Use the vnpy-export skill to generate a CtaTemplate Python class from the current strategy configuration and save it to the artifacts directory.
High-intent search queries and answers about installing and using this skill.
To convert a trading strategy to a vnpy CTA template, the skill translates Vibe-Trading signal logic into a runnable vnpy CtaTemplate Python class. It maps pandas indicators directly to vnpy's ArrayManager conventions for quantitative trading.
Yes, the vnpy export supports A-share stocks, futures, and crypto markets. It provides asset-specific parameterization to ensure the generated CtaTemplate subclasses function correctly across different financial trading environments.
To map Vibe-Trading indicators to vnpy ArrayManager methods, the skill automates the indicator mapping process during code generation. This translates pandas-based calculations into high-performance ArrayManager method calls required by the vnpy CTA engine.
The best way to deploy Vibe-Trading backtests to live vnpy trading is by generating a fully functional CtaTemplate Python class. This bridges the research environment and vnpy quant framework, facilitating seamless integration with the local CTA strategy engine.
No, you do not need to manually rewrite signal logic when moving to the vnpy quant framework. The skill performs automated code generation, translating your Vibe-Trading strategy configurations directly into runnable vnpy CtaTemplate subclasses.
Yes, you can run exported vnpy CTA strategies for futures trading without manual coding. The skill generates a complete CtaTemplate Python class from your current strategy configuration and saves it to the artifacts directory for immediate deployment.
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