We are pleased to announce the addition of LLM (Large Language Model) integration as a new platform option on TradingView To Anywhere (TTA).
 Platform |
LLM |
 Version |
live  |
This feature enables users to route TradingView alerts directly to an LLM endpoint for intelligent processing, transformation, validation, or decision-making before any downstream action is taken.
This capability is designed for users and traders who require greater flexibility than fixed command-based execution.
What This Enables
By connecting TradingView alerts to an LLM, you can:
- Dynamically interpret alert messages instead of relying on static syntax
- Add conditional logic, filtering, or confirmations using natural language rules
- Transform alerts into custom formats for execution, logging, or redistribution
- Build AI-assisted trading workflows that adapt to market context
The LLM acts as an intelligent middleware layer between TradingView and your execution or notification systems.
Typical Use Cases
- Validate alerts before execution (e.g., ignore low-confidence signals).
- Convert strategy alerts into broker-specific commands dynamically.
- Route alerts differently based on market conditions or time of day.
- Enrich alerts with reasoning, summaries, or risk checks.
- Forward processed outputs to exchanges, bots, databases, or messaging tools.
Example
TradingView Alert Message
BTCUSDT BUY at 64250 SL 63500 TP 66000
LLM Instruction (Conceptual)
If market volatility is high, reduce risk by 50%.
Return a valid execution command only if RR is greater than 1.5.
Otherwise, return "IGNORE".
LLM Output
BUY BTCUSDT Q=5% SL=63500 TP=66000
Or, if conditions are not met:
IGNORE
TTA then proceeds based on the LLM’s response—either executing the trade or safely discarding the alert.
The LLM platform is now available within TTA and can be selected like any other supported platform when creating a webhook.
For setup guidance or questions, users can contact support via live chat.
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Enjoy!