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Table of Contents

1. Overview
2. Features
3. Tech Stack
4. Running the Application
5. Customizations
6. Credits

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Overview

Aurora provides a customizable platform to:

• Monitor real-time cryptocurrency prices.
• Visualize historical trends through dynamic charts.
• Integrate indicators like SMA (Simple Moving Average) and RSI (Relative Strength Index).

The dashboard uses API data from CoinGecko, CryptoCompare, and Kraken for price updates and historical data.

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Features

• Real-Time Prices: Fetches up-to-date cryptocurrency prices.
• Customizable Charts: Toggle between Candlestick, Line, and Indicators (SMA/RSI/Volume).
• Coin Selection: Supports major cryptocurrencies (XRP, BTC, ETH, SOL, etc.).
• Optimized Caching: Reduces API calls with intelligent data caching.
• Interactive UI: Smooth transitions and clean design with hover effects.

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Tech Stack

• Backend: Python, Dash, Flask
• Frontend: HTML, CSS, Dash Components
• Data Sources: CoinGecko API, CryptoCompare API, Kraken API
• Libraries:
  • Dash for UI framework.
  • Plotly for dynamic charts.
  • NumPy for data manipulation.
  • Requests for API calls.
  • ThreadPoolExecutor for concurrent API requests.

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Running the Application

Run the Python script to launch the dashboard:

python app.py

Or you can visit the Render Development Build here:

https://aurora-vens.onrender.com/

Customizations

Adding Coins

To add a new cryptocurrency:

1. Update the COIN_CONFIG dictionary with its data:

   "COIN_NAME": {
       "coingecko_id": "<id>",
       "cc_symbol": "<symbol>",
       "kraken_pair": "<kraken_pair>",
       "logo": "<logo_url>"
   }

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Credits

• APIs: CoinGecko, CryptoCompare, Kraken
• Icons: cryptologos.cc
• Tools: Dash, Plotly, Python

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License

This project is licensed under the MIT License. See the LICENSE file for details.

Copyright (c) 2024 Rhett R. Adam

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