https://github.com/kuranez/krypto-dashboard

Cryptocurrency Dashboard displaying price and volume information for BTC, ETH, BNB using Python, Jupyter Notebooks and the Binance API.
https://github.com/kuranez/krypto-dashboard

anaconda-cloud binance-api cryptocurrency dashboard finance holoviz-panel jupyter pandas plotly python

Last synced: 4 months ago
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Cryptocurrency Dashboard displaying price and volume information for BTC, ETH, BNB using Python, Jupyter Notebooks and the Binance API.

• Host: GitHub
• URL: https://github.com/kuranez/krypto-dashboard
• Owner: kuranez
• Created: 2024-08-14T17:45:16.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2025-12-04T19:58:48.000Z (6 months ago)
• Last Synced: 2025-12-08T03:44:37.679Z (6 months ago)
• Topics: anaconda-cloud, binance-api, cryptocurrency, dashboard, finance, holoviz-panel, jupyter, pandas, plotly, python
• Language: Jupyter Notebook
• Homepage: https://apps.kuracodez.space/krypto-dashboard/main
• Size: 6.63 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Cryptocurrency Dashboard

Simple finance dashboard to track and compare cryptocurrency prices written in Python. 

**New Project** (based on this one) https://github.com/kuranez/krypto-dashboard-webapp

**Update:** 

**Complete overhaul in v1.2!**

- Extensive Jupyter Notebook with full documentation.

- Use as a basis and create your own python script using the components you need.  

**Features:**

- Fetch cryptocurrency data from *Binance*.

- Store API-Keys securely using *dotenv*.

- Helper functions to extract data and save to *CSV*.

- Explore dataframes in *Tabulate*.

- Create plots in *Plotly*. 

- Build dashboard in *Panel*.

## WebApp

Simple example dashboard (*crypto_prices_over_time.ipynb*) is hosted on Anaconda Cloud.

[View Demo Dashboard App on Anaconda Cloud!](https://supportive-cuban-boa.anacondaapps.cloud/crypto_prices_over_time)

## Requirements & Installation

### List of Python packages

- load_dotenv

- datetime

- pandas

- panel

- plotly

- matplotlib

---

### Installation

Install with **pip**:

``pip install ``

Install with **conda**:

``conda install --channel=conda-forge ``

---

### Binance API Key

Store your Public Binance API-Key in **keys.env**. 

![howto_add_api_key.png](https://raw.githubusercontent.com/kuranez/Krypto-Dashboard/refs/heads/v.1.2/screenshots/howto_add_api_key.png)

---

### Add Cryptocurrency Symbols

Go to **Add Symbol** section of the notebook and add custom Crypto-USDT-pairs.

![howto_add_symbols.png](https://raw.githubusercontent.com/kuranez/Krypto-Dashboard/refs/heads/v.1.2/screenshots/howto_add_symbols.png)

Pick custom colors for plotly using the matplotlib colors library and add to colors dictionaries. 

[https://matplotlib.org/stable/gallery/color/named_colors.html](https://matplotlib.org/stable/gallery/color/named_colors.html)

![howto_add_symbols_customize.png](https://raw.githubusercontent.com/kuranez/Krypto-Dashboard/refs/heads/v.1.2/screenshots/howto_add_symbols_customize.png)

---

### Example Datasets

Example data sets are available.

![howto_example_datasets](https://raw.githubusercontent.com/kuranez/Krypto-Dashboard/refs/heads/v.1.2/screenshots/howto_example_datasets.png)

---

### Run Notebook

Run all cells first to guarantee full functionality.

![howto_run_notebook.png](https://raw.githubusercontent.com/kuranez/Krypto-Dashboard/refs/heads/v.1.2/screenshots/howto_run_notebook.png)

---

## Features

### Overview 

Grab and check all data you need using the **Main Function**. 

![features_main.png](https://raw.githubusercontent.com/kuranez/Krypto-Dashboard/refs/heads/v.1.2/screenshots/features_main.png)

---

### Save Data to CSV

Save data locally as a csv file.

![features_CSV.png](https://raw.githubusercontent.com/kuranez/Krypto-Dashboard/refs/heads/v.1.2/screenshots/features_CSV.png)

---

### Price Plots

Generate nice looking charts with Plotly.

#### Market Overview Figures

---

![fig_market_overview_comparison_1.png](https://raw.githubusercontent.com/kuranez/Krypto-Dashboard/refs/heads/v.1.2/screenshots/fig_market_overview_comparison_1.png)

----

![fig_market_overview_comparison_2.png](https://raw.githubusercontent.com/kuranez/Krypto-Dashboard/refs/heads/v.1.2/screenshots/fig_market_overview_comparison_2.png)

---

#### Interactive Price Charts

---

![fig_detail.png](https://raw.githubusercontent.com/kuranez/Krypto-Dashboard/refs/heads/v.1.2/screenshots/fig_detail.png)

---

### Explore DataFrames in Tabulate

Explore & Compare data tables and apply filters if necessary.

![features_compare_filter_data.png](https://raw.githubusercontent.com/kuranez/Krypto-Dashboard/refs/heads/v.1.2/screenshots/features_compare_filter_data.png)

---

### Interactive Widgets

Use interactive widgets to explore data in **Jupyter Notebook** or build a **Dashboard App** using **Panel**. 

![features_dashboard.png](https://raw.githubusercontent.com/kuranez/Krypto-Dashboard/refs/heads/v.1.2/screenshots/features_dashboard.png)

---

## Resources

- [JupyterLab - Scientific Python Notebook Suite](https://jupyter.org/)

- [HoloViz Panel Data Exploration & Web App Framework for Python](https://panel.holoviz.org/index.html)

- [Plotly Open Source Graphing Library for Python](https://plotly.com/python/)

- [Matplotlib Color Gallery](https://matplotlib.org/stable/gallery/color/named_colors.html)