Skills
.Work. You
Rest

pytrade-quant

Community

Governance-ready Python quant trading system.

Finance & Accounting#governance#backtesting#alpaca#vectorbt#quant-trading#pytrade-quant
AuthorDrinkBoooz
Version1.0.0
Installs0

System Documentation

What problem does it solve?

PyTrade-Quant provides a governance-centric framework to develop, test, and deploy Python-based quantitative trading strategies with a multi-agent orchestration model. It reduces the risk of hidden backtests, data leakage, and production failures by enforcing design-first workflows, strict backtesting, and live-deploy safety.

Core Features & Use Cases

  • Multi-agent governance for strategy design, testing, and deployment in Python.
  • Backtesting with vectorbt, backtrader, or in-house event simulators; live trading via Alpaca.
  • Fit-for-production safeguards: TDD, lookahead checks, OOS validation, and risk controls.

Quick Start

Activate PyTrade-Quant to govern and execute a quantified strategy across development, backtesting, and deployment phases.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: pytrade-quant
Download link: https://github.com/DrinkBoooz/PyTrade/archive/main.zip#pytrade-quant

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
View Source Repository

Agent Skills Search Helper

Install a tiny helper to your Agent, search and equip skill from 471,000+ vetted skills library on demand.