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pine-script

Translate Python trading strategies into Pine Script v6, TDX Formula, and MQL5 code.

Updated Jul 8, 2026
Search Tags:#backtesting#trading#mql5#quantitative#tdx#pine-script
One-click install
npx skills add https://github.com/hxhyyy/Vibe-Trading --skill pine-script-hxhyyy
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pine-script
Source: https://github.com/hxhyyy/Vibe-Trading/tree/main/agent/src/skills/pine-script
Command: npx skills add https://github.com/hxhyyy/Vibe-Trading --skill pine-script-hxhyyy

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the fragmentation of trading platform ecosystems by automatically translating Python-based trading strategies into native code for major platforms like TradingView, Chinese equity software, and MetaTrader 5.

Core Features & Use Cases

  • Multi-Platform Translation: Converts Python strategy logic into Pine Script v6, TDX Formula, and MQL5 simultaneously.
  • Standardized Mapping: Provides a robust mapping layer between pandas/numpy operations and platform-specific indicator functions.
  • Use Case: A quantitative researcher develops a signal engine in Python and uses this skill to instantly generate the corresponding indicator code for their TradingView charts and local TDX terminal without manual rewriting.

Quick Start

Use the pine-script skill to translate the current strategy logic into code for TradingView, TDX, and MT5.

Frequently Asked Questions about pine-script

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

FAQPage Schema
How do I convert a Python trading strategy to Pine Script?▼

To convert a Python trading strategy to Pine Script, this skill translates pandas and numpy signal logic into native Pine Script v6 code, ensuring semantic consistency for TradingView deployment.

Can I use Python quantitative signals in MetaTrader 5?▼

Yes, you can use Python quantitative signals in MetaTrader 5 by translating the strategy logic into native MQL5 code, maintaining entry and exit conditions across disparate syntax requirements.

What is the best way to deploy backtesting strategies to Chinese equity terminals?▼

The best way to deploy backtesting strategies to Chinese equity terminals is translating Python signal engines into native TDX Formula code, enabling cross-platform deployment without manual rewriting.

Does this tool provide a mapping layer for numpy operations to platform indicators?▼

Yes, it provides a standardized mapping layer between pandas and numpy operations and platform-specific indicator functions, ensuring accurate translation of technical indicators across TradingView, TDX, and MetaTrader 5.

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