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vibe-trading

Run backtesting, factor analysis, options pricing, and swarm workflows for HK/US equities, crypto, and derivatives.

Updated Apr 19, 2026
Search Tags:#analysis#ai#data#finance#swarm#backtesting#options
One-click install
npx skills add https://github.com/ajithkumar31082004-bit/Vibe-Trading --skill vibe-trading-ajithkumar31082004-bit
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: vibe-trading
Source: https://github.com/ajithkumar31082004-bit/Vibe-Trading/tree/main/Vibe-Trading-main/agent
Command: npx skills add https://github.com/ajithkumar31082004-bit/Vibe-Trading --skill vibe-trading-ajithkumar31082004-bit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides an integrated AI-assisted finance research toolkit that unifies backtesting, factor analysis, options pricing, and multi-agent swarm workflows for professional finance teams.

Core Features & Use Cases

  • Seven backtesting engines, 69 specialized finance skills, and 29 swarm teams enabling end-to-end research workflows.
  • Cross-asset coverage (HK/US equities, crypto, and derivatives) using five data sources for diversified insights.
  • Use case: rapidly prototype trading ideas, spawn swarm experiments, and generate reproducible reports from a single interface.

Quick Start

Install vibe-trading-ai and run vibe-trading to start backtesting and swarm experiments.

Frequently Asked Questions about vibe-trading

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

FAQPage Schema
How do I run backtesting and multi-agent swarm workflows for finance research?▼

To run backtesting and multi-agent swarm workflows, install the vibe-trading-ai package and execute the vibe-trading command. This initiates seven backtesting engines and 29 swarm teams for end-to-end research workflows across HK/US equities and crypto.

What is AI-powered factor analysis and options pricing for cross-asset trading?▼

AI-powered factor analysis and options pricing evaluates HK/US equities, crypto, and derivatives using five data sources. It orchestrates 29 specialized swarm teams to generate reproducible cross-domain research reports.

Do I need Python 3.11 to use the vibe-trading-ai backtesting toolkit?▼

Yes, Python 3.11+ is required to use the backtesting toolkit. The vibe-trading-ai package is a mandatory dependency for executing the multi-agent swarm workflows and cross-asset data access.

Can I backtest crypto and derivatives strategies alongside US equities?▼

Yes, you can backtest crypto and derivatives strategies alongside US and HK equities. The system provides cross-asset coverage using five data sources to support diversified research and options pricing.

What's the best way to prototype trading ideas using multi-agent swarms?▼

The best way to prototype trading ideas is by spawning multi-agent swarm experiments through a single interface. This approach leverages 69 specialized finance skills to rapidly generate reproducible research reports.

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