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Description:

unicornfy 0.14.2

UnicornFy
Supported Exchanges | Installation | Change Log | Documentation |
Examples | Wiki | Social | Notifications | Bugs
| Contributing | Disclaimer | Commercial Support
A Python SDK by LUCIT to convert received raw data from crypto exchange API endpoints
into well-formed python dictionaries.
Part of 'UNICORN Binance Suite'.
Get help with the integration of the UNICORN Binance Suite modules from the
UNICORN Binance Suite Assistant GPT or
a real human LUCIT employee.
import unicorn_fy

received_stream_data_json = {"stream": "btcusdt@trade",
"data": {"e": "trade",
"E": 1556876873656,
"s": "BTCUSDT",
"t": 117727701,
"p": "5786.76000000",
"q": "0.03200500",
"b": 341831847,
"a": 341831876,
"T": 1556876873648,
"m": True,
"M": True}}

ufy = unicorn_fy.UnicornFy()

unicorn_fied_stream_data = ufy.binance_com_websocket(received_stream_data_json)
print(unicorn_fied_stream_data)

Output:
{'stream_type': 'btcusdt@trade', 'event_type': 'trade', 'event_time': 1556876873656, 'symbol': 'BTCUSDT',
'trade_id': 117727701, 'price': '5786.76000000', 'quantity': '0.03200500', 'buyer_order_id': 341831847,
'seller_order_id': 341831876, 'trade_time': 1556876873648, 'is_market_maker': True, 'ignore': True,
'unicorn_fied': ['binance', '0.14.2']}

This lib is integrated into
UNICORN Binance WebSocket API
and can be activated by setting parameter
output_default of BinanceWebSocketApiManager() to UnicornFy
or for specific streams with the parameter
output of create_stream() to UnicornFy.
Get the right logger:
logging.getLogger("unicorn_fy")

Supported Exchanges
Websockets

Exchange
Docs
Status

Binance (API)
binance_com_websocket(stream_data_json)
STABLE

Binance Testnet (API)
binance_com_websocket(stream_data_json)
STABLE

Binance Margin (API)
binance_com_margin_websocket(stream_data_json)
STABLE

Binance Margin Testnet (API)
binance_com_margin_websocket(stream_data_json)
STABLE

Binance Isolated Margin (API)
binance_com_isolated_margin_websocket(stream_data_json)
STABLE

Binance Isolated Margin Testnet (API)
binance_com_isolated_margin_websocket(stream_data_json)
STABLE

Binance Futures (API)
binance_com_futures_websocket(stream_data_json)
STABLE

Binance Futures Testnet (API)
binance_com_futures_websocket(stream_data_json)
STABLE

Binance Coin Futures (API)
binance_com_coin_futures_websocket(stream_data_json)
NEEDS_YOUR_HELP

Binance Coin Futures Testnet (API)
binance_com_coin_futures_websocket(stream_data_json)
NEEDS_YOUR_HELP

Binance Jersey (API)
binance_je_websocket(stream_data_json)
STABLE

Binance US (API)
binance_us_websocket(stream_data_json)
STABLE

Binance TR (API)
trbinance_com_websocket(stream_data_json)
STABLE

Binance JEX (API)
jex_com_websocket(stream_data_json)
STABLE

Binance DEX (API)
binance_org_websocket(stream_data_json)
NEEDS_YOUR_HELP

Binance DEX Testnet (API)
binance_org_websocket(stream_data_json)
NEEDS_YOUR_HELP

REST

none

If you like the project, please
it on
GitHub!
Installation and Upgrade
The module requires Python 3.7.0 or above.
For Anaconda we offer packages only from Python version 3.8 and higher.
For the PyPy interpreter we offer packages 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:

Build and Publish Anaconda
Build and Publish GH+PyPi

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-fy
Update
pip install unicorn-fy --upgrade
A Conda Package of the latest version with conda from Anaconda
The unicorn-fy 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-fy

Update
conda update -c lucit unicorn-fy
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-fy/archive/$(curl -s https://api.github.com/repos/lucit-systems-and-development/unicorn-fy/releases/latest | grep -oP '"tag_name": "\K(.*)(?=")').tar.gz --upgrade
Windows
Use the below command with the version (such as 0.14.2) you determined here:
pip install https://github.com/LUCIT-Systems-and-Development/unicorn-fy/archive/0.14.2.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-fy/tarball/master --upgrade
Conda environment, Virtualenv or plain Python
Download the latest release
or the current master branch
and use:

./environment.yml
./meta.yaml
./pyproject.toml
./requirements.txt
./setup.py

Change Log
https://unicorn-fy.docs.lucit.tech/changelog.html
Documentation

General
Modules

Examples

Look here!

Project Homepage
https://www.lucit.tech/unicorn-fy.html
Wiki
https://github.com/LUCIT-Systems-and-Development/unicorn-fy/wiki
Social

Discussions
https://t.me/unicorndevs
https://dev.binance.vision
https://community.binance.org

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 GitHub, Medium,
YouTube,
LinkedIn,
X or Facebook!
How to report Bugs or suggest Improvements?
List of planned features -
click 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 dont find an issue related to your topic, please open a new issue:
https://github.com/LUCIT-Systems-and-Development/unicorn-fy/issues
Report a security bug!
Contributing
UnicornFy 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 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!