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UNICORN Trading Suite

Description | Installation | How To | Change Log | Documentation | Social | Notifications | Bugs | Contributing | Disclaimer | Commercial Support

Description

LUCIT’s UNICORN Trading Suite is a comprehensive collection of open-source Python packages designed for building sophisticated automated trading systems. Tailored for Python developers, this suite offers seamless integration with various crypto exchange APIs, enabling the creation of advanced and professional trading bots for streamlined and efficient cryptocurrency trading.

All libraries in the suite are coordinated with each other, interlock perfectly, are fully documented and offer standardized interfaces and tools for the programmer. LUCIT continuously develops the modules, fixes bugs, tests the libraries extensively and offers fast, direct and free support.

All modules are delivered optimized as PyPy and as Python C Extension (Cython) via PyPi and Anaconda. The package creation runs completely transparently directly from the respective GitHub repository through GitHub Actions and is deployed directly to PyPi and Anaconda in a traceable manner. This process makes it tamper-proof for you to understand which code is contained in which package and can therefore easily install optimized builds for the platform, architecture and Python version used.

Get help with the integration of the UNICORN Trading Suite modules!

Modules of the UNICORN Trading Suite

We currently only offer full support for Binance. However, we have started to integrate other top 10 exchanges (ByBit, HTX, …). Step by step we will be able to announce new support here!

UNICORN Trading Suite for Binance

  • UNICORN Binance Local Depth Cache: A Python SDK from LUCIT to access and manage multiple local Binance DepthCaches with Python in a simple, fast, flexible, robust and fully-featured way.

  • UNICORN Binance REST API: A Python SDK by LUCIT to use the Binance REST API`s (com+testnet, com-margin+testnet, com-isolated_margin+testnet, com-futures+testnet, us, tr) in a simple, fast, flexible, robust and fully-featured way.

  • UNICORN Binance Trailing Stop Loss: A Python SDK and Command Line Tool from LUCIT with a trailing stop loss engine for the Binance Exchanges.

  • UNICORN Binance WebSocket API: A Python SDK by LUCIT to use the Binance Websocket API`s (com+testnet, com-margin+testnet, com-isolated_margin+testnet, com-futures+testnet, com-coin_futures, us, tr, dex/chain+testnet) in a simple, fast, flexible, robust and fully-featured way.

  • UnicornFy: A Python SDK by LUCIT to convert received raw data from crypto exchange API endpoints into well-formed python dictionaries.

UNICORN Trading Suite for ByBit

  • UNICORN ByBit WebSocket API: A Python SDK by LUCIT to use the ByBit Websocket API`s in a simple, fast, flexible, robust and fully-featured way.

If you like our projects, please star them on GitHub!

Get a UNICORN Trading Suite License

To run modules of the UNICORN Trading Suite you need a valid license!

UNICORN Trading Suite comparison

It is not easy to choose the right Python library to build your trading system. With this table we would like to help you get an objective overview and simplify the selection of the right package:

Feature/Criteria Binance Connector python-binance UNICORN Trading Suite CCXT/CCXT Pro
REST API Support Yes, full support Yes, full support Yes, full support Yes, supports REST for Binance and many other exchanges
WebSocket Streams Yes, including new WebSocket trading API for orders and trading commands Yes, for market data and user data streams Yes, including new WebSocket trading API for orders and trading commands and advanced management features Yes, CCXT Pro
Stream Signals Not available Not available Yes Not available
Trading via WebSocket Yes No, REST API only Yes, via UBWA, specifically developed and maintained by LUCIT Yes, CCXT Pro
Asynchronous Processing Yes, supports async functions Partially, limited support Yes, full asyncio integration in UBWA and UBLDC Yes, supports async functions
Official Support Yes, official Binance project No, community-driven No, but continuously maintained and supported by LUCIT No, community-driven
Maintenance and Updates Regular updates and maintenance by Binance Depends on community contributions Regular updates by LUCIT, quickly adapting to API changes Regular updates, dependent on community and external exchanges
UnicornFy Data Formatting Not available Not available Yes, via UnicornFy for consistent data structuring, developed by LUCIT Not available
Depth Caches (Order Book Storage) Basic depth via WebSocket available Includes a basic depth cache manager but may be limited for advanced needs. Yes, UBLDC provides specialized management for order book depth, developed by LUCIT CCXT Pro: Basic depth via WebSocket available, without specialized management
Depth Cache Cluster Not available Not available Yes, via UNICORN DepthCache Cluster for Binance with Load Balancing and Failover Not available
Trailing Stop-Loss Not natively, only manually via REST Not natively, only manually via REST Yes, via Trailing Stop Order module, automated, maintained by LUCIT Not natively supported, only manually via REST
Multi-Exchange Support Binance only Binance only Binance, Bybit, and top exchanges in progress Yes, supports multiple exchanges
Configuration Complexity Simple, unified configuration Simple, unified configuration Modular, each component can be selectively deployed Simple, unified configuration
Community and Support Official support from Binance Large community support Specialized community and support (SLA), continuous development by LUCIT Large, active community
Available as C-Extension Not available Not available Yes, the entire stack is available as a compiled Python C extension on PyPi and Anaconda Not available
Compatible with PyPy Not available Not available Yes, the entire stack is available as a PyPy package on PyPi Not available
Ideal For Developers looking for an officially supported library General Binance applications and REST trading High-frequency trading with advanced features, advanced order book processing, multi-asset monitoring Multi-exchange trading and data querying via a unified API

Installation and Upgrade

The modules require Python 3.8 or above, as they depend on Pythons latest asyncio features for asynchronous/concurrent processing.

For the PyPy interpreter we offer packages only from Python version 3.9 and higher.

Anaconda packages are available from Python version 3.8 and higher.

If you run into errors during the installation take a look here.

Packages are created automatically with GitHub Actions

When a new release is to be created, we start two GitHubActions:

Both start virtual Windows/Linux/Mac servers provided by GitHub in the cloud with preconfigured environments and create the respective compilations and stub files, pack them into wheels and conda packages and then publish them on GitHub, PYPI and Anaconda. This is a transparent method that makes it possible to trace the source code behind a compilation.

A Cython binary, PyPy or source code based CPython wheel of the latest version with pip from PyPI

Our Cython and PyPy Wheels are available on PyPI, these wheels offer significant advantages for Python developers:

  • Performance Boost with Cython Wheels: Cython is a programming language that supplements Python with static typing and C-level performance. By compiling Python code into C, Cython Wheels can significantly enhance the execution speed of Python code, especially in computationally intensive tasks. This means faster runtimes and more efficient processing for users of our package.

  • PyPy Wheels for Enhanced Efficiency: PyPy is an alternative Python interpreter known for its speed and efficiency. It uses Just-In-Time (JIT) compilation, which can dramatically improve the performance of Python code. Our PyPy Wheels are tailored for compatibility with PyPy, allowing users to leverage this speed advantage seamlessly.

Both Cython and PyPy Wheels on PyPI make the installation process simpler and more straightforward. They ensure that you get the optimized version of our package with minimal setup, allowing you to focus on development rather than configuration.

Installation

pip install unicorn-trading-suite

Update

pip install unicorn-trading-suite --upgrade

A Conda Package of the latest version with conda from Anaconda

The unicorn-trading-suite package is also available as a Cython version for the linux-64, osx-64 and win-64 architectures with Conda through the lucit channel.

For optimal compatibility and performance, it is recommended to source the necessary dependencies from the conda-forge channel.

Installation

conda config --add channels conda-forge
conda config --add channels lucit
conda install -c lucit unicorn-trading-suite

Update

conda update -c lucit unicorn-trading-suite

From source of the latest release with PIP from GitHub

Linux, macOS, …

Run in bash:

pip install https://github.com/LUCIT-Systems-and-Development/unicorn-trading-suite/archive/$(curl -s https://api.github.com/repos/LUCIT-Systems-and-Development/unicorn-trading-suite/releases/latest | grep -oP '"tag_name": "\K(.*)(?=")').tar.gz --upgrade

Windows

Use the below command with the version (such as 1.0.0) you determined here:

pip install https://github.com/LUCIT-Systems-and-Development/unicorn-trading-suite/archive/1.0.0.tar.gz --upgrade

From the latest source (dev-stage) with PIP from GitHub

This is not a release version and can not be considered to be stable!

pip install https://github.com/LUCIT-Systems-and-Development/unicorn-trading-suite/tarball/master --upgrade

Conda environment, Virtualenv or plain Python

Download the latest release or the current master branch and use:

  • ./environment.yml

  • ./pyproject.toml

  • ./requirements.txt

  • ./setup.py

Change Log

https://unicorn-trading-suite.docs.lucit.tech/changelog.html

Please look for the information in the README.md of the responsible subrepository.

Documentation

Please look for the information in the README.md of the responsible subrepository.

Howto

Project Homepage

https://www.lucit.tech/unicorn-trading-suite.html

Wiki

https://github.com/LUCIT-Systems-and-Development/unicorn-trading-suite/wiki

Social

Receive Notifications

Follow us on LinkedIn, X or Facebook!

Please look for the information in the README.md of the responsible subrepository for spezific notifications.

How to report Bugs or suggest Improvements?

Please look for the information in the README.md of the responsible subrepository.

Contributing

Please look for the information in the README.md of the responsible subrepository.

Disclaimer

This project is for informational purposes only. You should not construe this information or any other material as legal, tax, investment, financial or other advice. Nothing contained herein constitutes a solicitation, recommendation, endorsement or offer by us or any third party provider to buy or sell any securities or other financial instruments in this or any other jurisdiction in which such solicitation or offer would be unlawful under the securities laws of such jurisdiction.

If you intend to use real money, use it at your own risk!

Under no circumstances will we be responsible or liable for any claims, damages, losses, expenses, costs or liabilities of any kind, including but not limited to direct or indirect damages for loss of profits.

SOCKS5 Proxy / Geoblocking

We would like to explicitly point out that in our opinion US citizens are exclusively authorized to trade on Binance.US and that this restriction must not be circumvented!

The purpose of supporting a SOCKS5 proxy in the UNICORN Trading Suite and its modules is to allow non-US citizens to use US services. For example, GitHub actions with UBS will not work without a SOCKS5 proxy, as they will inevitably run on servers in the US and be blocked by Binance.com. Moreover, it also seems justified that traders, data scientists and companies from the US analyze binance.com market data - as long as they do not trade there.

Commercial Support

Get professional and fast support

Do you need a developer, operator or consultant? Contact us for a non-binding initial consultation!