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Cryptocurrency widget displaying real-time prices and trading recommendations based on bid and ask analysis.

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D4rkTT/CryptoWidget

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CryptoWidget

A lightweight cryptocurrency widget that displays real-time prices and provides trading recommendations based on bid and ask analysis.

Features

  • Real-time price updates for selected cryptocurrencies.
  • Trading suggestions derived from bid and ask data.
  • Simple and modern user-friendly interface.

Changelog:

  • Design: Updated to a more compact and streamlined interface.
  • Settings Window: Added a new settings interface that lets you customize the application’s position and manage coins (add, remove, update, and reorder).
  • Mobility: You can now set the widget position via the config or settings (top-right, top-left, bottom-right, bottom-left) or enable "Toggle Move" from the tray icon to freely reposition the widget on screen. Once disabled, the new position is saved automatically.
  • Customization: The configuration now allows you to specify the target cryptocurrency and the conversion currency independently.
  • Improvements: Includes numerous bug fixes and overall code optimization.

Installation

  1. Download prebuilt installer from Releases
  2. Install it
  3. Customize the widget through the settings menu (open it from tray icon) or through the config file on "C:\Users<username>\Documents\CryptoWidget\config.json"

Build

  1. Clone the repository:
    git clone https://github.com/D4rkTT/CryptoWidget.git
  2. Navigate to the project directory:
    cd CryptoWidget
  3. Install dependencies (if applicable):
    npm install
  4. Build the widget:
    npm dist
  5. Install the widget: from dist folder

Usage

  • Open the application to view real-time cryptocurrency prices.
  • Use the provided trading recommendations to make informed decisions.

Contributing

Contributions are welcome! Feel free to submit issues or pull requests.

License

This project is licensed under the MIT License.

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Cryptocurrency widget displaying real-time prices and trading recommendations based on bid and ask analysis.

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