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binpan-0.4.9
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مشاهده بیشترتوضیحات
Binance API wrapper with backtesting tools.
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | binpan-0.4.9 |
| نام | binpan |
| نسخه کتابخانه | 0.4.9 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Fernando Alfonso |
| ایمیل نویسنده | hancaidolosdos@hotmail.com |
| آدرس صفحه اصلی | https://github.com/nand0san/binpan_studio |
| آدرس اینترنتی | https://pypi.org/project/binpan/ |
| مجوز | MIT |
Welcome to BinPan's documentation!
==================================
BinPan is a Python wrapper for Binance API. Useful creating objects with many capabilities in data analysis.
BinPan can show plots easily and fetch API requests into the same object. It can also obtain some technical indicators.
The target of this module is to have a fast tool for collecting and handling data from the Binance API easily.
It is intended to be useful in Jupyter Notebooks or even the python console, but it can be used in
many other ways.
BinPan manages symbol objects that can do:
- get candles with time zone and indexing options.
- get trades.
- calculate technical indicators.
- plot candles, histograms, indicators, etc in a very simple and beautiful way.
- check applied fees.
An example of a plot for candles and indicators:
BinPan contains no binance **order method, withdraw method** or any dangerous command.
If you decide to add API keys for using some account methods, BinPan will encrypt it in a file, and in memory,
but it is better not enabling trading capability on the Binance API key configuration, just for your own peace of mind.
Be careful out there!
Documentation
-------------
Take a look to the basic **tutorial**. Find it in the Jupyter Notebook file **tutorial.ipynb**
Also, can be found Sphinx documentation at:
https://nand0san.github.io/binpan_studio/
Hope you find it useful breaking the market!!!
Google Colab
-------------------------------
Google Colab is not available for the Binance API. Maybe Colab's IP are restricted in the binance API.
```
BinanceAPIException: APIError(code=0): Service unavailable from a restricted location according to 'b. Eligibility' in https://www.binance.com/en/terms. Please contact customer service if you believe you received this message in error.
```
GitHub repo
-----------
https://github.com/nand0san/binpan_studio
Installation
------------
Pypi repository: https://pypi.org/project/binpan/
```
pip install binpan
```
Usage
-----
Importing just like this:
```
from binpan import binpan
btcusdt = binpan.Symbol(symbol='btcusdt',
tick_interval='15m',
time_zone='Europe/Madrid',
start_time='2021-10-31 01:00:00',
end_time='2021-10-31 03:00:00')
btcusdt.sma(21)
btcusdt.plot()
```
Jupyter Import Problems Troubleshooting
---------------------------------------
When working with Jupyter, you may encounter import errors while trying to import packages such as BinPan. These errors can be caused by various reasons such as package installation order, virtual environment issues, etc. To resolve such errors, you can try installing the required modules directly to the Jupyter Notebook kernel by following the steps below:
First, import the sys module in your Jupyter notebook.
Next, install the required packages using the following command:
.. code-block:: python
import sys
!{sys.executable} -m pip install <package_name>
Replace <package_name> with the name of the package that you want to install.
Repeat step 2 for all the packages that you need to install.
If you face import errors related to the crypto or pycryptodome packages, use the following commands to uninstall and reinstall
the packages:
.. code-block:: python
# insecure
!{sys.executable} -m pip uninstall crypto
!{sys.executable} -m pip uninstall pycryptodome
secure
!{sys.executable} -m pip install pycryptodome
Note that the crypto and pycryptodome packages are used for encryption/decryption purposes and it is recommended to use the more secure pycryptodome package.
Finally, install any other required packages using the following command:
.. code-block:: python
!{sys.executable} -m pip install <package_name>
Replace <package_name> with the name of the package that you want to install.
By following these steps, you can install the required packages directly to the Jupyter Notebook kernel and resolve any import
errors that you may encounter. In addition, it is recommended to ensure that the virtual environment used by Jupyter is
configured correctly to avoid any conflicts with package installations.
### Greetings
I would like to express my gratitude to the pandas_ta team for developing such a fantastic library.
Thank you for your hard work and dedication in creating a powerful tool that enables data analysts and
traders to perform technical analysis in Python with ease. Your contribution to the Python community is
greatly appreciated.
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.7.9 | Python |
نحوه نصب
نصب پکیج whl binpan-0.4.9:
pip install binpan-0.4.9.whl
نصب پکیج tar.gz binpan-0.4.9:
pip install binpan-0.4.9.tar.gz