A Python SDK by LUCIT for accessing and managing multiple local Binance order books with Python in a simple, fast, flexible, robust and fully featured way.
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A Python SDK by LUCIT for accessing and managing multiple local Binance order books with Python in a simple, fast, flexible, robust and fully featured way.
The organization of the DepthCache takes place in the same asyncio loop as the reception of the websocket data. The full stack of the UBS modules (REST, WebSocket and DepthCache) can be downloaded and installed by PyPi and Anaconda as a Python C extension for maximum performance.
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.
To run modules of the UNICORN Binance Suite you need a valid license!
from unicorn_binance_local_depth_cache import BinanceLocalDepthCacheManager, DepthCacheOutOfSync
ubldc = BinanceLocalDepthCacheManager(exchange="binance.com")
ubldc.create_depth_cache("BTCUSDT")
asks = ubldc.get_asks("BTCUSDT")
bids = ubldc.get_bids("BTCUSDT")
try:
print(f"Top 10 asks: {ubldc.get_asks(market=market)[:10]}")
print(f"Top 10 bids: {ubldc.get_bids(market=market)[:10]}")
except DepthCacheOutOfSync as error_msg:
print(f"ERROR: {error_msg}")
ubldc.stop_depth_cache("BTCUSDT")
When you instantiate UBLDC with with, ubldc.stop_manager() is automatically executed upon exiting the with-block.
with BinanceWebSocketApiManager() as ubldc:
ubldc.create_depth_cache("BTCUSDT")
Without with, you must explicitly execute ubldc.stop_manager() yourself.
ubldc.stop_manager()
The Python package UNICORN Binance Local Depth Cache provides a local depth_cache for the Binance Exchanges Binance (+Testnet), Binance Futures (+Testnet) - more are coming soon.
The algorithm of the depth_cache management was designed according to these instructions:
By create_depth_cache()
the depthcache is started and initialized, that means for each depthcache you want to create a separate
thread is started. As soon as at least one depth update is received via websocket, a REST snapshot is downloaded and
the depth updates are applied to it, keeping it in sync in real-time. Once this is done, the state of the cache is set
to "synchronous".
Data in the depthcache can be accessed with 'getasks()' and 'getbids()'. If the state of the depthcache is not synchronous during access, the exception 'DepthCacheOutOfSync' is thrown.
The depthcache will immediately start an automatic re-initialization if a gap in the UpdateID`s is detected (missing update event) or if the websocket connection is interrupted. As soon as this happens the state of the depthcache is set to "out of sync" and when accessing the cache the exception 'DepthCacheOutOfSync' is thrown.
A local depthcache is the fastest way to access the current order book depth at any time while transferring as little data as necessary. A REST snapshot takes a lot of time and the amount of data that is transferred is relatively large. Continuous full transmission of the order book via websocket is faster, but the amount of data is huge. A local depthcache is initialized once with a REST snapshot and then handles Diff. Depth updates applied by the websocket connection. By transferring a small amount of data (only the changes), a local depth_cache is kept in sync in real time and also allows extremely fast (local) access to the data without exceeding the Binance request weight limits.
is_depth_cache_synchronized().| Exchange | Exchange string |
|--------------------------------------------------------------------| --------------- |
| Binance | binance.com |
| Binance Testnet | binance.com-testnet |
| Binance USD-M Futures | binance.com-futures |
| Binance USD-M Futures Testnet | binance.com-futures-testnet |
| More are coming ... | - |
create_depth_cache()
or stop_depth_cache().websocket_ping_interval, websocket_ping_timeout and websocket_close_timeoutIf you like the project, please
it on
GitHub!
The module requires Python 3.7 or above, as it depends 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.
The current dependencies are listed here.
If you run into errors during the installation take a look here.
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.
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.
pip install unicorn-binance-local-depth-cache
pip install unicorn-binance-local-depth-cache --upgrade
The unicorn-binance-local-depth-cache 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.
conda config --add channels conda-forge
conda config --add channels lucit
conda install -c lucit unicorn-binance-local-depth-cache
conda update -c lucit unicorn-binance-local-depth-cache
Run in bash:
pip install https://github.com/LUCIT-Systems-and-Development/unicorn-binance-local-depth-cache/archive/$(curl -s https://api.github.com/repos/LUCIT-Systems-and-Development/unicorn-binance-local-depth-cache/releases/latest | grep -oP '"tag_name": "\K(.*)(?=")').tar.gz --upgrade
Use the below command with the version (such as 2.3.0) you determined here:
pip install https://github.com/LUCIT-Systems-and-Development/unicorn-binance-local-depth-cache/archive/2.3.0.tar.gz --upgrade
This is not a release version and can not be considered to be stable!
pip install https://github.com/LUCIT-Systems-and-Development/unicorn-binance-local-depth-cache/tarball/master --upgrade
Download the latest release or the current master branch and use:
https://lucit-systems-and-development.github.io/unicorn-binance-local-depth-cache/changelog.html
https://www.lucit.tech/unicorn-binance-local-depth-cache.html
https://github.com/LUCIT-Systems-and-Development/unicorn-binance-local-depth-cache/wiki
To receive notifications on available updates you can
the repository on GitHub, write your
own script
with using
is_update_available().
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To receive news (like inspection windows/maintenance) about the Binance API`s subscribe to their telegram groups:
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!
UNICORN Binance Local Depth Cache 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.
We 
open source!
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.
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.
Do you need a developer, operator or consultant? Contact us for a non-binding initial consultation!