🌲 PineScript to Python Translator

This skill is designed to take raw TradingView PineScript files (.pine) and rigorously deconstruct them into Python-native components so they can be optimized using vectorization and tools like Optuna.

When to use this skill

Use this skill when you want to migrate a backtest from the TradingView ecosystem into a headless Python environment. This is critical for running multi-fold Walk-Forward Analysis (WFA) and Monte Carlo simulations that TradingView cannot handle.

Workflow

1. Deconstruction & Classification (The IR Build)

   • Parse the .pine script to identify input(), input.int(), input.float(), and input.bool().
   • Classify parameters into three buckets:
     • Signal: Parameters that dictate entries (e.g., length, crossover_threshold).
     • Risk: Parameters that dictate exits (e.g., stop_ticks, trail_offset).
     • Display: Parameters used only for plotting/UI (discard these).

2. Boundary Extraction

   • For every Signal and Risk parameter, extract the minval, maxval, and step if provided.
   • Format these into Optuna trial suggestions (e.g., trial.suggest_int('length', 10, 50)).