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.pyto 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 templatequbx run- Start a strategy with given configurationqubx simulate- Run strategy simulationqubx ls- List all strategies in a directoryqubx release- Package a strategy into a zip filequbx deploy- Deploy a strategy from a zip filequbx 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: info@xlydian.com
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.
2 maintainers
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