Can this skill handle session-specific resets?

Yes, it includes specific patterns for detecting new trade dates and resetting cumulative values like volume or VWAP at the start of a session.

What is the Tradovate Patterns skill?

It is a specialized Claude Code skill that provides templates and best practices for writing JavaScript-based trading indicators specifically for the Tradovate platform.

Does it support complex indicators like MACD or VWAP?

Absolutely, it provides complete examples for MACD calculations and multi-band VWAP calculations with standard deviation.

What file naming conventions does it follow?

The skill follows conventions like using *LB.js or *ProLB.js suffixes and requires specific author tags to maintain organizational standards.

Is input validation included in the patterns?

Yes, the skill provides patterns for the validate function to ensure parameters like periods and multipliers stay within logical and safe bounds.

Tradovate Indicator Scaffolding

Name: Tradovate Indicator Scaffolding
Author: lgbarn

bylgbarn

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数据科学与机器学习

Generates standardized JavaScript scaffolds and implementation patterns for Tradovate trading indicators.

关于

This skill streamlines the development of Tradovate indicators by providing battle-tested JavaScript templates and session-aware logic. It includes essential patterns for VWAP calculations, historical data access, and robust error handling, ensuring indicators are compatible with Tradovate's specific API requirements and file naming conventions. Whether you are building simple moving averages or complex session-based oscillators for /ES or /NQ futures, this skill provides the necessary structure to maintain consistency and reliability in your trading algorithms.

主要功能

3 GitHub stars
Comprehensive error handling and input validation frameworks
Ready-to-use patterns for VWAP and standard deviation bands
Standardized Tradovate JavaScript class structures and export patterns
Session-aware logic for resetting calculations on new trading days
Historical data access methods for multi-bar analysis

使用场景

Developing custom volume-weighted indicators for /ES or /NQ futures
Porting existing trading strategies into the Tradovate platform
Implementing robust indicators with built-in parameter validation and UI styles

关于

主要功能

3 GitHub stars
Comprehensive error handling and input validation frameworks
Ready-to-use patterns for VWAP and standard deviation bands
Standardized Tradovate JavaScript class structures and export patterns
Session-aware logic for resetting calculations on new trading days
Historical data access methods for multi-bar analysis

使用场景

Developing custom volume-weighted indicators for /ES or /NQ futures
Porting existing trading strategies into the Tradovate platform
Implementing robust indicators with built-in parameter validation and UI styles