Automate TradingView Alerts to LLM for Customization and Smart Processing

Automation Guides
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The TradingView to LLM integration by TTA introduces intelligent customization and analysis to your TradingView alerts. It allows you to process any message received through your webhook, apply dynamic logic or formatting based on your own instructions, and either output the results directly or forward them to another webhook for execution or further automation.

This means you can personalize how alerts are interpreted, formatted, or even enhanced using LLM-based processing — enabling a completely tailored automation flow for your trading systems.

Key Features

With the TradingView to LLM tool, you have full control over how your alerts are handled.
You can:

  • Define custom message rules to interpret, modify, or reformat incoming alerts according to your strategy.
  • Integrate logic or AI processing before execution.
  • Forward refined alerts to a secondary webhook for continued automation (e.g., sending results to a trading bot, Discord, or Telegram).

Example Use Cases

  • Reformat or enrich your TradingView alerts before sending to Telegram.
  • Add logic that interprets signals and decides whether to forward them.
  • Translate or summarize strategy outputs automatically.
  • Integrate your local AI model to process alerts without relying on external APIs.

Examples:
Custom Instruction:

Format any received messages to include as many smiley faces as you can and output the results only.

Command:

Hello there, this is TradingView to LLM.

Result:

😊😊 Hello there, this is TradingView to LLM. 😊😊😊

Instruction: Summarize alerts in five words or fewer.

Received alert from TradingView:

The RSI just crossed above 70, indicating an overbought signal for ETHUSDC.

Output:

RSI overbought, watch ETHUSDC.

Instruction: Translate incoming alerts to French.

Input:

SELL BTC_USDC Q=0.01

Output:

VENDRE BTC_USDC Q=0.01

Setting Up Your LLM Webhook

When creating an LLM webhook in your TTA dashboard, you’ll need to provide several key details that determine how your connection interacts with your chosen LLM.

1. Base URL

The Base URL is the endpoint where your LLM API can be reached.
TTA supports any standard LLM that accepts REST-based input — meaning you can use:

  • OpenAI API
    Example:

    https://api.openai.com/v1

  • Anthropic Claude API
    Example:

    https://api.anthropic.com

  • Hugging Face Inference API
    Example:

    https://api-inference.huggingface.co/models

  • Custom or Local LLMs
    You can also connect a self-hosted or custom LLM, such as one running on your own server or workstation.
    Example:

    https://mycustom-llm-server.com/api

As long as the base URL points to a valid LLM endpoint, it can be used seamlessly within TTA.

2. API Key

The API Key authenticates your connection with the LLM. You’ll obtain it from your model provider’s dashboard or documentation.
Examples include:

Keep this key secure; it grants access to your LLM account.

3. Model Selection

Each LLM offers a range of models designed for different use cases. You must specify the exact model name when configuring your webhook to avoid errors.

Examples:

  • OpenAI:

    • gpt-4o
    • gpt-4-turbo
    • gpt-3.5-turbo

  • Anthropic:

    • claude-3-opus-20240229
    • claude-3-sonnet-20240229

  • Hugging Face:

    • meta-llama/Llama-3-8b-chat-hf
    • mistralai/Mixtral-8x7B-Instruct-v0.1

  • Local or Custom Models:

    • local-llm-1.0
    • custom-gpt-server

Always refer to your provider’s documentation for the correct model name. You can change models at any time based on your preferred balance of speed, accuracy, and token cost.

Credits and Usage

When using cloud-based LLMs like OpenAI or Anthropic, API calls consume credits.
These credits are managed by the respective LLM provider. You can track or top up your usage directly on your provider’s dashboard.

For self-hosted or local LLMs, no external credits are required, giving you complete independence and cost control.

The TradingView to LLM integration gives you full flexibility over your alerts — from how they’re interpreted to where they’re sent. Whether you use a public API like OpenAI, a community model from Hugging Face, or your own local deployment, the system adapts to your setup and empowers you to automate smarter.

Visit Tradingview to Anywhere and start automating today!