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https://github.com/maciekmalachowski/crypto-charts-site
📊Application which return financial data for selected cryptocurrency.
https://github.com/maciekmalachowski/crypto-charts-site
binance-api data-analysis jupyter-notebook matplotlib mplfinance numpy pandas python python-binance
Last synced: about 2 months ago
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📊Application which return financial data for selected cryptocurrency.
- Host: GitHub
- URL: https://github.com/maciekmalachowski/crypto-charts-site
- Owner: maciekmalachowski
- License: mit
- Created: 2023-09-12T10:52:27.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-09-10T11:38:42.000Z (5 months ago)
- Last Synced: 2024-09-10T13:14:44.858Z (5 months ago)
- Topics: binance-api, data-analysis, jupyter-notebook, matplotlib, mplfinance, numpy, pandas, python, python-binance
- Language: Jupyter Notebook
- Homepage: https://mmalachowski.isdatascientist.com/app/charts_notebook
- Size: 2.24 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
📊Crypto-charts-site
See for yourself
▶ Website ◀
## Table of Contents
- [First look](https://github.com/maciekmalachowski/Crypto-charts-site#first-look)
- [Installation](https://github.com/maciekmalachowski/Crypto-charts-site#installation)
- [App appearance](https://github.com/maciekmalachowski/Crypto-charts-site#app-appearance)
- [Download you analysis](https://github.com/maciekmalachowski/Crypto-charts-site#download)
First look 👀
### The *Jupyter Notebook-based* application was created to analyze market data using the Binance API using the `Python-binance` library.
### `Numpy` and `Pandas` allow users to retrieve and analyze market data. Visualization of charts is supported by 'Mplfinance', which uses Matplotlib.
### Open-source library *`Mercury`* allows you to add interactive widgets in jupter-notebook, so you can share your notebook as a web application, which is deployed by https://cloud.runmercury.com.
Installation ℹ
- First of all, clone this repository on your device. Open your shell and paste the following commands:
*URL cloning*
```
git clone https://github.com/maciekmalachowski/Crypto-charts-site.git
```
*SSH cloning*
```
git clone [email protected]:maciekmalachowski/Crypto-charts-site.git
```
- Then, you need to install the requirements contained in ``requirements.txt``.
```
pip install -r requirements.txt
```
- Create a `.env` file and paste your **api** and **secret** keys from the Binance API.
```
api_key = 'your_api_key'
secret_key = 'your_secret_key'
```
- After that, run `internal mercury server` in the repository folder.
```
mercury run
```
Mercury will read all the notebooks contained in the folder and *automatically* display them in the browser.
App appearance 🔍
- The application has a *sidebar*, which is responsible for all activities related to cryptocurrency analysis.
- Cryptocurrency analysis returns us information within a specified interval, such as:
- Current price
- Highest price
- Lowest price
- Mean price
- It also displays a *chart*, which we can freely modify.
> ### The Binance server that is being used is set to the time zone UTC+0
Download 💾
### Mercury has the option to export an executed notebook to PDF or HTML. It is very simple. Click the Download button in the sidebar and select the desired format:
> ### A first-time PDF download will trigger `pyppeteer` download and installation if it is not available in the system.
#### Make sure you have Chromium installed. It can be done with the following command:
```
pyppeteer-install
```
#### More images can be found in the `media` folder.