TradingView Trigger icon

TradingView Trigger

Trigger workflows based on TradingView events and conditions

TradingView Trigger

AI-generated

Summary

Monitor specified TradingView events for a trading symbol at configured intervals and trigger workflows when conditions are met.

Inputs

  • triggerType (required) — Type of event to monitor, such as Alert, Price Target, Volume Spike, News Keyword, Technical Indicator, Pattern Formation, Social Mention, or AI Analysis Alert.
  • symbol (required) — Trading symbol to monitor, e.g., BTCUSD, AAPL, EURUSD.
  • priceConditions — Conditions specifying operator, target value, and optionally timeframe when monitoring a price target trigger.
  • volumeConditions — Parameters including spike multiplier, average period, and minimum volume when monitoring volume spikes.
  • newsConditions — Keywords, match type, source priority, and sentiment filters to apply when monitoring news keyword triggers.
  • indicatorConditions — Technical indicator type, condition, threshold value, and timeframe for indicator trigger conditions (monitoring not yet implemented).
  • pattern — Pattern type and minimum confidence percentage to detect chart patterns (detection not yet implemented).
  • socialConditions — Keywords, mention threshold, time window, and sentiment threshold for monitoring social mentions (monitoring not yet implemented).
  • aiConditions — AI analysis types, confidence threshold, and alert conditions for AI Analysis Alert triggers.
  • interval (required) — Interval at which to check for the configured trigger condition.
  • advanced — Advanced options including max triggers, cooldown period, history storage, and toggle notifications.

Output shape

One or more JSON objects emitted each time the trigger condition is met.

If the monitoring condition is fulfilled based on the selected trigger type and parameters, the node outputs JSON data containing details such as symbol, trigger type, matched data, timestamps, trigger count, and optional history if enabled. Some trigger types (Technical Indicator, Pattern Formation, Social Mention) currently do not implement actual detection and will return placeholder data. Errors during checks result in output with error details if notifications are enabled.

Discussion