TradingView Webhook Bot

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The TradingView Webhook Bot ⚙️ listens to TradingView alerts via webhooks using flask. All alerts can be instantly sent to Telegram, Discord, Twitter and/or Email.

• Telegram Support using the Python Telegram libary
• Discord Support using webhooks
• Slack Support using webhooks
• Twitter Support using the tweepy libary
• Email Support using smtplib
• Alert channels can be enabled or disabled in config.py
• Dynamically send alerts to different Telegram and/or Discord channels
• TradingView {{close}}, {{exchange}} etc. variables support. Read more here

💡 Got a feature idea? Open an issue and I might implement it.

⚠️ Best to run the bot on a VPS. I can recommend Hetzner's CX11 VPS for 2.89€/month. Sign up now and receive €20 free credits.

1. Clone this repository git clone https://github.com/fabston/TradingView-Webhook-Bot.git
2. Create your virtual environment python3 -m venv TradingView-Webhook-Bot
3. Activate it source TradingView-Webhook-Bot/bin/activate && cd TradingView-Webhook-Bot
4. Install all requirements pip install -r requirements.txt
5. Edit and update config.py
6. Setup TradingView alerts. An example alert message would be:

   {
    "key": "9T2q394M92",
    "telegram": "-1001277977502",
    "discord": "789842341870960670/BFeBBrCt-w2Z9RJ2wlH6TWUjM5bJuC29aJaJ5OQv9sE6zCKY_AlOxxFwRURkgEl852s3",
    "slack": "T00000000/B00000000/XXXXXXXXXXXXXXXXXXXXXXXX",
    "msg": "Long *#{{ticker}}* at `{{close}}`"
   }

   • key is mandatory! It has to match with sec_key in config.py. It's an extra security measurement to ensure nobody else is executing your alerts
   • telegram, discord, slack is optional. If it is not set it will fall back to the config.py settings
   • msg can be anything. Markdown for Telegram and Discord is supported as well
     • TradingViews variables like {{close}}, {{exchange}} etc. work too. More can be found here
   • Your webhook url would be http://<YOUR-IP>/webhook
7. If you use a firewall be sure to open the corresponding port
8. Run the bot with python main.py
9. PM2 can help you in running the app in the background / on system boot.

1. Clone this repository git clone https://github.com/fabston/TradingView-Webhook-Bot.git
2. Edit and update config.py
3. docker-compose build
4. docker-compose up

It is recommended to run flask on a different port like 8080. It is then necessary to forward port 80 to 8080.

All kinds of contributions are welcome 🙌! The most basic way to show your support is to ⭐️ star the project, or raise 🐞 issues.