TradingView Pricing
An open-source bot that forwards TradingView alerts via webhooks to Telegram, Discord, Slack, Twitter, and Email.
Overview
TradingView Webhook Bot is an open-source Python application designed to receive alerts from TradingView via webhooks and forward them instantly to multiple communication platforms including Telegram, Discord, Slack, Twitter, and Email. It is built using Flask to listen for incoming webhook POST requests from TradingView alerts, making it suitable for traders, developers, and analytics teams who want to automate alert distribution across various channels. The bot supports dynamic routing of alerts to different Telegram and Discord channels and allows customization of alert messages using TradingView's built-in variables such as {{close}} and {{exchange}}.
The bot is intended for users comfortable with Python and basic server management, as it requires setup on a VPS or local server environment. Configuration is managed through a Python config file where users enable or disable alert channels and set security keys to prevent unauthorized alert execution. It supports integration with popular messaging APIs and libraries such as python-telegram-bot, Discord and Slack webhooks, Tweepy for Twitter, and Python's smtplib for email.
What sets TradingView Webhook Bot apart is its flexibility and open-source nature, allowing users to self-host and customize alert forwarding without relying on third-party services. Unlike commercial alert forwarding tools, it supports multiple output channels simultaneously and leverages TradingView's alert variables for rich, contextual messages. The project has an active GitHub repository with ongoing contributions and issue tracking, making it a reliable choice for developers seeking a customizable alert distribution solution.
To get started, users clone the GitHub repository, set up a Python virtual environment, install dependencies, and configure the bot via the config.py file. Running the bot requires opening the appropriate network ports and optionally configuring NGINX for port forwarding. Docker support is also available for containerized deployment. Comprehensive documentation and example alert payloads are provided to facilitate integration with TradingView alerts.
The Problem
Traders and developers using TradingView alerts often face challenges in reliably distributing these alerts across multiple communication platforms. Many existing solutions are either limited to a single channel or require paid third-party services, reducing flexibility and control. Additionally, integrating TradingView alerts with messaging platforms like Telegram, Discord, Slack, Twitter, and Email can be complex without a unified, customizable tool.
The Solution
Key Features
TradingView variable support
Supports TradingView alert variables like {{close}} and {{exchange}} for customizable messages.
Security key validation
Uses a secret key in alert payloads to prevent unauthorized alert execution.
Multiple integration libraries
Integrates with python-telegram-bot, Discord and Slack webhooks, Tweepy for Twitter, and smtplib for Email.
Key Strengths
How Developers Use TradingView Pricing
Automated multi-platform trading alerts
Traders use the bot to receive real-time TradingView alerts on Telegram, Discord, Slack, Twitter, and Email simultaneously for faster decision-making.
Custom alert routing for trading communities
Community managers route specific TradingView alerts dynamically to different Telegram and Discord channels to segment information by asset or strategy.
Integration with trading bots and analytics
Developers forward TradingView alerts to Twitter or Email to trigger external trading bots or feed analytics dashboards.
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Pricing
Open Source | |
|---|---|
| Price (Monthly) | Free |
| Price (Annual) | Free |
| Messaging | N/A |
| Support | Community support via GitHub issues and discussions |
| Analytics |
Resources
The GitHub repository provides full source code, installation instructions, configuration examples, and usage guides. It also includes Docker support and community issue tracking for troubleshooting and feature requests.