HftBacktest

This project is currently in its initial development stages, meaning that breaking changes may occur without prior notice. The live bot feature has not undergone comprehensive testing yet; therefore, it must be used at your own risk.

High-Frequency Trading Backtesting and Live Bot in Rust

This Rust framework is designed for developing and running high-frequency trading and market-making strategies. It focuses on accounting for both feed and order latencies, as well as the order queue position for order fill simulation. The framework aims to provide more accurate market replay-based backtesting, based on full order book and trade tick feed data. You can also run the live bot using the same algo code.

Key Features

• Complete tick-by-tick simulation with a variable time interval.
• Full order book reconstruction based on L2 feeds(Market-By-Price).
• Backtest accounting for both feed and order latency, using provided models or your own custom model.
• Order fill simulation that takes into account the order queue position, using provided models or your own custom model.

The following features are only provided in Rust implementation:

• Backtesting of multi-asset and multi-exchange models
• Deployment of a live trading bot using the same algo code

Getting started

Installation

Installation from the Cargo repository

cargo add hftbacktest

**Installation of the latest development version from the Git repository:

hftbacktest = { git = "https://github.com/nkaz001/hftbacktest.git" }

Data Format

The Rust implementation uses a different data format compared to the Python implementation. Please see the Rust version part of Data Preparation tutorial.

Examples

Please see examples.

Roadmap

The following features are planned to be developed after API stabilization:

• Backtesting and live support for L3 feeds (Market-By-Order).
• Support for external connectors through sockets and/or IPC for multiple bots via a unified connection.
• Addition of more connectors, including DataBento.
• Implementing data fusion to obtain the finest granularity and up-to-date market depth information from various conflated market depth streams.

Contributing

Thank you for considering contributing to hftbacktest! Welcome any and all help to improve the project. If you have an idea for an enhancement or a bug fix, please open an issue or discussion on GitHub to discuss it.

The following items are examples of contributions you can make to this project:

• Improve performance statistics reporting
• Implement test code
• Add additional queue or exchange models
• Update documentation and examples
• Implement a live bot connector