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pine-script

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

Updated Jun 30, 2026
Search Tags:#backtesting#trading#algorithmic-trading#mql5#tdx#pine-script
One-click install
npx skills add https://github.com/20YN04/vibe-trading-macos --skill pine-script-20yn04
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pine-script
Source: https://github.com/20YN04/vibe-trading-macos/tree/main/agent/src/skills/pine-script
Command: npx skills add https://github.com/20YN04/vibe-trading-macos --skill pine-script-20yn04

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill solves the fragmentation problem in algorithmic trading by allowing you to write a single strategy in Python and automatically translate it into the native languages of multiple trading platforms.

Core Features & Use Cases

  • Multi-Platform Export: Simultaneously generate code for TradingView (Pine Script v6), Chinese equity platforms (TDX/TongDaXin), and MetaTrader 5 (MQL5).
  • Logic Mapping: Provides a comprehensive translation layer between Python-based data analysis and platform-specific indicator syntax.
  • Use Case: A quantitative researcher can develop a signal engine in Python and instantly deploy the resulting strategy to their TradingView charts and local TDX terminals without manual recoding.

Quick Start

Use the pine-script skill to translate the current strategy logic into Pine Script, TDX formula, and MQL5 code.

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 into Pine Script for TradingView?▼

This skill translates Python-based signal engines and pandas data operations into native Pine Script v6 code for TradingView. It maps quantitative trading logic directly to platform-specific indicator syntax for consistent signal execution.

Can I deploy one algorithmic trading strategy to both MetaTrader 5 and TDX?▼

Yes, you can export a single Python quantitative strategy to both MetaTrader 5 and TDX. The skill simultaneously generates native MQL5 code and TDX formulas from your Python signal engine for cross-platform market deployment.

Does this tool translate pandas-based data analysis to MQL5 indicator syntax?▼

Yes, it provides a comprehensive translation layer that maps pandas-based data analysis operations directly to MQL5 indicator syntax. This facilitates accurate logic mapping for MetaTrader 5 without manual recoding.

What is the best way to export backtest logic to multiple trading platforms?▼

The best way to export backtest logic is using a translation layer that converts Python signal engines into native code for TradingView, TDX, and MetaTrader 5. This avoids manual recoding across fragmented algorithmic trading platforms.

Do I need to manually recode technical indicators for TongDaXin if I write them in Python?▼

No, you do not need to manually recode technical indicators for TongDaXin. The skill automatically translates Python-based quantitative strategies into native TDX formula code for Chinese equity platforms.

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