BETA, NOT FOR PRODUCTIVE USE!!!¶

The core functions work. Websocket connections to public endpoints can be established and are stable. (No long-term tests!)

If you would like to take part in the test, please contact us in the chat!

Anaconda Release Anaconda Downloads

UNICORN Bybit WebSocket API¶

A Python SDK by LUCIT to use the Bybit Websocket API`s (live+testnet) in a simple, fast, flexible, robust and fully-featured way.

Part of ‘UNICORN Trading Suite’.

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

Get a UNICORN Trading Suite License¶

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

Receive Data from Bybit WebSockets¶

Create a multiplex websocket connection to Bybit with a `stream_buffer` with just 3 lines of code¶

from unicorn_bybit_websocket_api import BybitWebSocketApiManager

bybit_wsm = BybitWebSocketApiManager(exchange="bybit.com")
bybit_wsm.create_stream(endpoint="public/linear", channels=['kline.1'], markets=['btcusdt', 'ethusdt'])

And 4 more lines to print out the data¶

while True:
    oldest_data_from_stream_buffer = bybit_wsm.pop_stream_data_from_stream_buffer()
    if oldest_data_from_stream_buffer:
        print(oldest_data_from_stream_buffer)

Or with a callback function just do¶

from unicorn_bybit_websocket_api import BybitWebSocketApiManager

def process_new_receives(stream_data):
    print(str(stream_data))

bybit_wsm = BybitWebSocketApiManager(exchange="bybit.com")
bybit_wsm.create_stream(endpoint="public/linear", channels=['kline.1m'], 
                        markets=['btcusdt', 'ethusdt'], 
                        process_stream_data=process_new_receives)

Or with an async callback function just do¶

from unicorn_bybit_websocket_api import BybitWebSocketApiManager
import asyncio

async def process_new_receives(stream_data):
    print(stream_data)
    await asyncio.sleep(1)

bybit_wsm = BybitWebSocketApiManager()
bybit_wsm.create_stream(endpoint="public/linear", channels=['kline_1m'],
                        markets=['btcusdt', 'ethusdt'],
                        process_stream_data_async=process_new_receives)

Or await the stream data in an asyncio coroutine¶

All the methods of data collection presented have their own advantages and disadvantages. However, this is the generally recommended method for processing data from streams.

from unicorn_bybit_websocket_api import BybitWebSocketApiManager
import asyncio

async def main():
    async def process_asyncio_queue(stream_id=None):
        print(f"Start processing the data from stream '{bybit_wsm.get_stream_label(stream_id)}':")
        while bybit_wsm.is_stop_request(stream_id) is False:
            data = await bybit_wsm.get_stream_data_from_asyncio_queue(stream_id)
            print(data)
            bybit_wsm.asyncio_queue_task_done(stream_id)
    bybit_wsm.create_stream(endpoint="public/linear",
                            channels=['kline.1'],
                            markets=['btcusdt', 'ethusdt'],
                            stream_label="KLINE_1m",
                            process_asyncio_queue=process_asyncio_queue)
    while not bybit_wsm.is_manager_stopping():
            await asyncio.sleep(1)

with BybitWebSocketApiManager(exchange='bybit.com') as bybit_wsm:
    try:
        asyncio.run(main())
    except KeyboardInterrupt:
        print("\r\nGracefully stopping ...")
    except Exception as e:
        print(f"\r\nERROR: {e}\r\nGracefully stopping ...")

Basically that’s it, but there are more options.

Stop `bybit_wsm` after usage to avoid memory leaks¶

When you instantiate UNICORN Bybit Websocket API with with, bybit_wsm.stop_manager() is automatically executed upon exiting the with-block.

with BybitWebSocketApiManager() as bybit_wsm:
    bybit_wsm.create_stream(channels="kline.1", markets="btcusdt", stream_label="KLINE_1m")

Without with, you must explicitly execute bybit_wsm.stop_manager() yourself.

bybit_wsm.stop_manager()

`stream_signals` - know the state of your streams¶

Usually you want to know when a stream is working and when it is not. This can be useful to know that your own system is currently “blind” and you may want to close open positions to be on the safe side, know that indicators will now provide incorrect values or that you have to reload the missing data via REST as an alternative.

For this purpose, the UNICORN Bybit WebSocket API provides so-called stream_signals, which are used to tell your code in real time when a stream is connected, when it received its first data record, when it was disconnected and stopped, and when the stream cannot be restored.

from unicorn_bybit_websocket_api import BybitWebSocketApiManager
import time

def process_stream_signals(signal_type=None, stream_id=None, data_record=None, error_msg=None):
    print(f"Received stream_signal for stream '{bybit_wsm.get_stream_label(stream_id=stream_id)}': "
          f"{signal_type} - {stream_id} - {data_record} - {error_msg}")

with BybitWebSocketApiManager(process_stream_signals=process_stream_signals) as bybit_wsm:
    bybit_wsm.create_stream(channels="trade", markets="btcusdt", stream_label="TRADES")
    time.sleep(2)
    print(f"Waiting 5 seconds and then stop the stream ...")
    time.sleep(5)

Description¶

The Python package UNICORN Bybit WebSocket API provides an API to the Bybit Websocket API`s of Bybit (+Testnet).

What are the benefits of the UNICORN Bybit WebSocket API?¶

Fully managed websockets and 100% auto-reconnect! Also handles maintenance windows!
No memory leaks from Python version 3.7 to 3.12!
The full UTS stack is delivered as a compiled C extension for maximum performance.
Supported exchanges:

Exchange	Exchange string	WS	WS API
Bybit	`bybit.com`
Bybit Testnet	`bybit.com-testnet`

Streams are processing asynchronous/concurrent (Python asyncio) and each stream is started in a separate thread, so you don’t need to deal with asyncio in your code! But you can consume with await , if you want!
Supports subscribe/unsubscribe on all exchanges! (Take a look to the max supported subscriptions per stream in the endpoint configuration overview!)
UNICORN Bybit WebSocket API respects Bybit’s API guidelines and protects you from avoidable reconnects and bans.
Support for multiple private !userData streams with different api_key and api_secret. (example_multiple_userdata_streams.py)
Pick up the received data from the stream_buffer (FIFO or LIFO) - if you can not store your data in cause of a temporary technical issue, you can kick back the data to the stream_buffer which stores the receives in the RAM till you are able to process the data in the normal way again. Learn more!
Use separate stream_buffers for specific streams or users!
Watch the stream_signals to receive CONNECT, FIRST_RECEIVED_DATA, DISCONNECT, STOP and STREAM_UNREPAIRABLE signals from your streams! Learn more!
Get the received data unchanged as received, as Python dictionary or converted with UnicornFy into well-formed Python dictionaries. Use the output parameter of create_stream() to control the output format.
Helpful management features like clear_asyncio_queue(), clear_stream_buffer(), get_bybit_api_status(), get_current_receiving_speed(), get_errors_from_endpoints(), get_limit_of_subscriptions_per_stream(), get_request_id(), get_result_by_request_id(), get_results_from_endpoints(), get_stream_buffer_length(), get_stream_info(), get_stream_list(), get_stream_id_by_label(), get_stream_statistic(), get_stream_subscriptions(), get_version(), is_update_available(), get_stream_data_from_asyncio_queue(), pop_stream_data_from_stream_buffer(), print_summary(), replace_stream(), set_stream_label(), set_ringbuffer_error_max_size(), subscribe_to_stream(), stop_stream(), unsubscribe_from_stream(), wait_till_stream_has_started() and many more! Explore them here.
Monitor the status of the created BybitWebSocketApiManager() instance within your code with get_monitoring_status_plain() and specific streams with get_stream_info().
Available as a package via pip and conda as precompiled C extension with stub files for improved Intellisense functions and source code for easier debugging of the source code. To the installation.
Integration of test cases and examples.
Customizable base URL.

Socks5 Proxy support:

bybit_wsm = BybitWebSocketApiManager(exchange="bybit.com", socks5_proxy_server="127.0.0.1:9050") 

Read the docs or this how to for more information or try example_socks5_proxy.py.

Excessively tested on Linux, Mac and Windows on x86, arm32, arm64, …

If you like the project, please it on GitHub!

Installation and Upgrade¶

The module requires Python 3.7 and runs smoothly up to and including Python 3.12.

Anaconda packages are available from Python version 3.8 and higher, but only in the latest version!

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

The current dependencies are listed here.

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.

On Raspberry Pi and other architectures for which there are no pre-compiled versions, the package can still be installed with PIP. PIP then compiles the package locally on the target system during installation. Please be patient, this may take some time!

Installation¶

pip install unicorn-bybit-websocket-api

Update¶

pip install unicorn-bybit-websocket-api --upgrade

A Conda Package of the latest version with `conda` from Anaconda ¶

The unicorn-bybit-websocket-api 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-bybit-websocket-api

Update¶

conda update -c lucit unicorn-bybit-websocket-api

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

Windows¶

Use the below command with the version (such as 0.1.0) you determined here:

pip install https://github.com/LUCIT-Systems-and-Development/unicorn-bybit-websocket-api/archive/0.1.0.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-bybit-websocket-api/tarball/master --upgrade

Change Log¶

https://unicorn-bybit-websocket-api.docs.lucit.tech/changelog.html

Documentation¶

Examples¶

Look here!

Howto¶

How to Obtain and Use a Unicorn Trading Suite License Key and Run the UTS Module According to Best Practice

Project Homepage¶

https://www.lucit.tech/unicorn-bybit-websocket-api.html

Wiki¶

https://github.com/LUCIT-Systems-and-Development/unicorn-bybit-websocket-api/wiki

Receive Notifications¶

To receive notifications on available updates you can the repository on GitHub, write your own script with using is_update_available() or you use the monitoring API service.

Follow us on LinkedIn, X or Facebook!

To receive news (like inspection windows/maintenance) about the Bybit API`s subscribe to their telegram groups:

How to report Bugs or suggest Improvements?¶

List of planned features - click thumbs-up if you need one of them or suggest a new feature!

Before you report a bug, try the latest release. If the issue still exists, provide the error trace, OS and Python version and explain how to reproduce the error. A demo script is appreciated.

If you don’t find an issue related to your topic, please open a new issue!

Report a security bug!

Contributing¶

UNICORN Bybit WebSocket API is an open source project which welcomes contributions which can be anything from simple documentation fixes and reporting dead links to new features. To contribute follow this guide.

Contributors¶

We love open source!

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.

Commercial Support¶

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

BETA, NOT FOR PRODUCTIVE USE!!!¶

UNICORN Bybit WebSocket API¶

Get a UNICORN Trading Suite License¶

Receive Data from Bybit WebSockets¶

Create a multiplex websocket connection to Bybit with a stream_buffer with just 3 lines of code¶

And 4 more lines to print out the data¶

Or with a callback function just do¶

Or with an async callback function just do¶

Or await the stream data in an asyncio coroutine¶

Subscribe / unsubscribe new markets and channels¶

Stop bybit_wsm after usage to avoid memory leaks¶

stream_signals - know the state of your streams¶

Description¶

What are the benefits of the UNICORN Bybit WebSocket API?¶

Installation and Upgrade¶

Packages are created automatically with GitHub Actions¶

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

Installation¶

Update¶

A Conda Package of the latest version with conda from Anaconda¶

Installation¶

Update¶

From source of the latest release with PIP from GitHub¶

Linux, macOS, …¶

Windows¶

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

Change Log¶

Documentation¶

Examples¶

Howto¶

Project Homepage¶

Wiki¶

Social¶

Receive Notifications¶

How to report Bugs or suggest Improvements?¶

Contributing¶

Contributors¶

Disclaimer¶

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

Commercial Support¶

Create a multiplex websocket connection to Bybit with a `stream_buffer` with just 3 lines of code¶

Stop `bybit_wsm` after usage to avoid memory leaks¶

`stream_signals` - know the state of your streams¶

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

A Conda Package of the latest version with `conda` from Anaconda ¶

From source of the latest release with PIP from GitHub ¶

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