UNICORN Binance Trailing Stop Loss
Description | Smart Entry | Installation | Documentation | Examples | Change Log | Wiki | Social | Bugs | Contributing | Disclaimer
A Python library with a command line interface for a trailing stop loss and smart entry on the Binance exchange.
Please read carefully all provided documentation, our disclaimer and look in the issues about known problems before using this tool - you use it at your own risk!
If you put this engine on a market, you should stop trading manually on this market yourself!
Part of 'UNICORN Binance Suite'.
How to start the trailing stop loss engine:
from unicorn_binance_trailing_stop_loss import BinanceTrailingStopLossManager
def callback_error(msg):
print(f"STOP LOSS ERROR - ENGINE IS SHUTTING DOWN! - {msg}")
ubtsl.stop_manager()
def callback_finished(msg):
print(f"STOP LOSS FINISHED - ENGINE IS SHUTTING DOWN! - {msg}")
ubtsl.stop_manager()
def callback_partially_filled(msg):
print(f"STOP LOSS PARTIALLY_FILLED - ENGINE IS STILL RUNNING! - {msg}")
ubtsl = BinanceTrailingStopLossManager(callback_error=callback_error,
callback_finished=callback_finished,
callback_partially_filled=callback_partially_filled,
binance_public_key="aaa",
binance_private_key="bbb",
borrow_threshold="100%",
exchange="binance.com",
keep_threshold="20%",
market="BTCUSDT",
print_notifications=True,
reset_stop_loss_price=True,
send_to_email_address="blah@example.com",
send_from_email_address="blub@example.com",
send_from_email_password="pass",
send_from_email_server="mail.example.com",
send_from_email_port=25,
stop_loss_limit="1.5%",
stop_loss_order_type="LIMIT",
stop_loss_price=88,
stop_loss_start_limit="0.5%",
telegram_bot_token="telegram_bot_token",
telegram_send_to="telegram_send_to")
Stop the engine:
ubtsl.stop_manager()
Start the engine on the command line (Windows, Linux and Mac):
$ ubtsl --profile BTCUSDT_SELL --stoplosslimit 0.5%
Read about the CLI usage.
Description
The Python package UNICORN Binance Trailing Stop Loss provides a reuseable library and CLI interface.
After starting the engine, a stop/loss order is placed on Binance and trailed until it is completely fulfilled. If desired, a
notification can be sent via email and Telegram afterward. Then it calls the function
passed with the callback_finished parameter or on error it calls the function passed to callback_error.
Partially filled orders are currently not handled by the engine. If you want to react individually to this event, you
can use the function provided to callback_partially_filled.
In addition, there is a smart entry option
called jump-in-and-trail. This offers the possibility to buy spot, future and margin assets with a limit or market
order and then to trail a stop/loss order until sold.
What are the benefits of the UNICORN Binance Trailing Stop Loss?
- Using websockets for push notifications about price updates and order status updates. (Fast data transfer and low used API weight!)
- Smart entry
- Supported exchanges:
| Exchange | Exchange string | trail | jump-in-and-trail |
|---|---|---|---|
| Binance | binance.com |
 |
 |
| Binance Testnet | binance.com-testnet |
|
|
| Binance Futures | binance.com-futures |
|
|
| Binance Isolated Margin | binance.com-isolated_margin |
|
(experimental) |
| Binance Margin | binance.com-margin |
|
|
-
All parameters that expect numbers can be configured with fixed numerical values as well as with percentage values.
-
Integrated notification system (e-Mail and Telegram).
-
Test "notification", "binance-connectivity" and "streams" without starting the engine.
-
Powered by UNICORN Binance REST API and UNICORN Binance WebSocket API.
-
Available as a package via
pipandcondaas precompiled C extension with stub files for improved Intellisense functions and source code for easier debugging of the source code. To the installation. -
Well tested on Linux, Mac and Windows.
If you like the project, please 
Smart entry
This function is still in an experimental phase and only available for Isolated Margin.
Do a smart entry by using engine = 'jump-in-and-trail' and providing borrow_threshold.
By activating the jump-in-and-trail engine, the engine first buys the predefined asset amount and then trails them
automatically.
Installation and Upgrade
The module requires Python 3.9 and runs smoothly up to and including Python 3.14.
PyPy wheels are available for all supported Python versions.
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 created, the Build and Publish GH+PyPi workflow spins up virtual Windows/Linux/Mac runners, compiles the Cython extensions, builds the wheels and publishes them on GitHub and PyPI. The conda-forge feedstock conda-forge/unicorn-binance-trailing-stop-loss-feedstock picks up the new PyPI release automatically and builds the Conda packages on its own infrastructure. 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-binance-trailing-stop-loss
Update
pip install unicorn-binance-trailing-stop-loss --upgrade
conda
conda install -c conda-forge unicorn-binance-trailing-stop-loss
From source of the latest release with PIP from GitHub
Linux, macOS, ...
Run in bash:
pip install https://github.com/oliver-zehentleitner/unicorn-binance-trailing-stop-loss/archive/$(curl -s https://api.github.com/repos/oliver-zehentleitner/unicorn-binance-trailing-stop-loss/releases/latest | grep -oP '"tag_name": "\K(.*)(?=")').tar.gz --upgrade
Windows
Use the below command with the version (such as 1.3.1) you determined here:
pip install https://github.com/oliver-zehentleitner/unicorn-binance-trailing-stop-loss/archive/1.3.1.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/oliver-zehentleitner/unicorn-binance-trailing-stop-loss/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://oliver-zehentleitner.github.io/unicorn-binance-trailing-stop-loss/CHANGELOG.html
Documentation
Examples
Project Homepage
https://github.com/oliver-zehentleitner/unicorn-binance-trailing-stop-loss
Wiki
https://github.com/oliver-zehentleitner/unicorn-binance-trailing-stop-loss/wiki
Social
Receive Notifications
To receive notifications on available updates you can
is_update_available().
To receive news (like inspection windows/maintenance) about the Binance API`s subscribe to their telegram groups:
- https://t.me/binance_api_announcements
- https://t.me/binance_api_english
- https://t.me/Binance_USA
- https://t.me/TRBinanceTR
- https://t.me/BinanceExchange
How to report Bugs or suggest Improvements?
List of planned features -
click 
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!
Contributing
UNICORN Binance Trailing Stop Loss 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 
AI Integration
This project provides a llms.txt file for AI tools (ChatGPT, Claude, Copilot, etc.) with structured
usage instructions, code examples and module routing.
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.
1 maintainer
Metadata
1 maintainer
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