Qubx - Quantitative Trading Framework

⠀⠀⡰⡖⠒⠒⢒⢦⠀⠀
⠀⢠⠃⠈⢆⣀⣎⣀⣱⡀  QUBX | Quantitative Backtesting Environment
⠀⢳⠒⠒⡞⠚⡄⠀⡰⠁         (c) 2026, by xLydian
⠀⠀⠱⣜⣀⣀⣈⣦⠃⠀⠀⠀

Qubx is a next-generation quantitative trading framework designed for efficient backtesting and live trading. Built with Python, it offers a robust environment for developing, testing, and deploying trading strategies.

Qubx is under active development. We are continuously improving the framework and will update our documentation in the coming days/weeks. This will include comprehensive end-to-end examples for running simulations and live trading.

Supported Data Types

Qubx supports a wide range of market data:

OHLC (candlestick data)
L2 Orderbook
Liquidations
Funding rates
And more...

Quick Start

1. Install Dependencies

just install

2. Create a Strategy

# Create a simple strategy template (default)
uv run qubx init

# Or specify a name and symbols
uv run qubx init --name my_strategy --symbols BTCUSDT,ETHUSDT

3. Run Your Strategy

cd my_strategy

# Run in paper trading mode
uv run qubx run config.yml --paper

# Or run in Jupyter mode for interactive development
./jpaper.sh

Available Templates

# List available strategy templates
uv run qubx init --list-templates

# Create strategy with full project structure and MACD example
uv run qubx init --template project --name my_project

Strategy Development Workflow

Initialize: uv run qubx init - Create strategy from template
Develop: Edit strategy.py to implement your trading logic
Test: uv run qubx run config.yml --paper - Run in paper mode
Debug: ./jpaper.sh - Use Jupyter for interactive development
Deploy: Configure for live trading when ready

Features

High-performance backtesting engine
Live trading support
Advanced data analysis tools
Integration with multiple exchanges
Comprehensive strategy development toolkit
Detailed performance analytics

Documentation

For detailed documentation, visit Qubx Documentation

Prerequisites

To build and run Qubx, you need:

Python 3.11 or higher
C/C++ compiler for Cython compilation
uv for dependency management

Installation

Using pip

pip install qubx

Development Setup

Clone the repository
Install dependencies using uv:

uv sync --all-extras

Example trading strategies can be found in the examples/ directory.

CLI Usage

Qubx comes with a command-line interface that provides several useful commands:

qubx --help  # Show all available commands

Available commands:

qubx init - Create a new strategy from template
qubx run - Start a strategy with given configuration
qubx simulate - Run strategy simulation
qubx ls - List all strategies in a directory
qubx release - Package a strategy into a zip file
qubx deploy - Deploy a strategy from a zip file
qubx browse - Browse backtest results using interactive TUI

Development

Running Tests

Run the test suite:

just test

Additional Commands

Check code style: just style-check
Build package: just build
Run verbose tests: just test-verbose

In Production

Qubx powers the AllegedAlpha public pool on Lighter. Public pools allow users to deposit funds from their blockchain wallet into a smart contract. The pool operator manages the trading strategy, and a performance fee is taken from profits (X: @allegedalpha).

About xLydian

Qubx is developed by xLydian.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the GNU General Public License v3.0 - see the LICENSE file for details.

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