using-quantdev

Develop systematic trading indicators, bots, and research across multiple platforms.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/lgbarn/quantdev --skill using-quantdev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: using-quantdev
Source: https://github.com/lgbarn/quantdev/tree/main/skills/using-quantdev
Command: npx skills add https://github.com/lgbarn/quantdev --skill using-quantdev

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a comprehensive framework and set of tools for developing, testing, and deploying systematic trading strategies, indicators, and research across multiple platforms.

Core Features & Use Cases

  • Indicator Development: Design, build, and validate technical indicators with cross-platform consistency.
  • Bot Creation: Build trading bots with strategy templates, bias detection, and deployment configuration.
  • Quantitative Research: Orchestrate backtests, perform parameter optimization, and conduct risk analysis.
  • Use Case: A quantitative developer needs to build a new trading indicator, ensure its accuracy across different platforms (like TradingView's Pine Script and MetaTrader's MQL), develop a bot that uses this indicator, and then backtest the bot's performance rigorously.

Quick Start

Use the using-quantdev skill to set up your quantdev project by running the init command.

Frequently Asked Questions about using-quantdev

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

FAQPage Schema
How do I build and validate trading indicators across multiple platforms?

This framework facilitates systematic trading development by enabling you to design, build, and validate technical indicators with cross-platform consistency. It requires adherence to specific command-line interfaces for workflow management.

What is lookahead bias detection in systematic trading backtesting?

Lookahead bias detection prevents future data from leaking into current calculations during backtesting. This framework includes built-in detection mechanisms to ensure your bot and strategy backtests remain historically accurate and reliable.

Can I use this framework for both bot creation and quantitative research?

Yes, this framework supports both bot creation and quantitative research. It provides strategy templates and deployment configuration for bots, while orchestrating backtests, parameter optimization, and risk analysis for research workflows.

How do I set up a quantdev project to start backtesting strategies?

To set up your project for backtesting, activate the skill and run the init command. This initializes the environment, allowing you to orchestrate backtests and perform parameter optimization using the provided command-line interfaces.

Does this systematic trading framework support test-driven development?

Yes, the framework supports test-driven development (TDD) for systematic trading. This allows you to rigorously test indicators and bot performance before deployment, ensuring accuracy and reliability across platforms.