Qubx 1.1.3.dev6

Qubx - Quantitative Trading Framework

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

1. Initialize: uv run qubx init - Create strategy from template
2. Develop: Edit strategy.py to implement your trading logic
3. Test: uv run qubx run config.yml --paper - Run in paper mode
4. Debug: ./jpaper.sh - Use Jupyter for interactive development
5. 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

1. Clone the repository
2. 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.

• Website: xlydian.com
• X: @xLydian_xyz
• Contact: [e-mail]

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.