WalletWatchTgBot

Telegram Cryptocurrency Wallet Tracker Bot

View Demo

This Telegram bot, developed using Python and the aiogram framework, serves as a cryptocurrency wallet tracker for wallets in the ERC20 and BEP20 networks.

Features

• Wallet Configuration Management: Users can add, remove, and manage configurations of their cryptocurrency wallets.
• Token Addition: Users can add tokens to their wallets for monitoring their balances.
• Balance Updates: The bot provides updates on the balances of saved tokens.
• Opt-in/Opt-out Updates: Users can choose to receive or stop receiving updates on their saved tokens.
• Wallet and Token Deletion: Users can delete their wallets and tokens from the bot's records.

Usage

1. Start the Bot: Start a conversation with the bot by searching for it on Telegram or clicking on a provided link.
2. Adding Wallets: Use the /addwallet command to add configurations for your cryptocurrency wallets. Follow the prompts to enter necessary details.
3. Adding Tokens: Once wallets are added, use the /addtoken command to add tokens to your wallets for balance tracking.
4. Receiving Updates: By default, users receive updates on their saved tokens. Use the /connect command to toggle updates on or /stop tooff.
5. Managing Wallets and Tokens: Use the /deletewallet and /deletetoken commands to remove wallets and tokens, respectively.
6. Help: Use the /help command to get information via telegram bot.

Installation

1. Clone the Repository:

git clone https://github.com/yourusername/telegram-crypto-bot.git

2. Install Dependencies:

make prepare

3. Configuration:

Copy .env.sample to a new file called .env and configure the settings as described in the Environment variables section.

BOT_TOKEN=your_bot_token_here

4. Run the bot:

make run

Deploy the app

Clone this repository onto your remote server and execute the following commands:

1. Clone Project Repository in server

Clone your project repository:

git clone https://github.com/WalletWatch/wallet_watch_tg_bot.git

2. Configuration:

Copy .env.sample to a new file called .env and configure the settings as described in the Environment variables section.

BOT_TOKEN=your_bot_token_here

4. Run bot container

docker-compose -f docker_compose.yml up -d

Contributing

Contributions are welcome! If you have any suggestions, feature requests, or bug reports, feel free to open an issue or submit a pull request.

License

This project is licensed under the MIT License.