Analyze Crypto News Sentiment For Any Token With Gpt 4O And Telegram Alerts 4740 – n8n Workflows – Free Template

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Archivo detectado: wf-4740.json

What This Workflow Does

This workflow is a Binance and cryptocurrency news sentiment analyzer that automatically extracts relevant news articles and analyzes their sentiment using artificial intelligence. It processes user input through a webhook, identifies keywords, aggregates news from multiple RSS feeds, and provides AI-powered sentiment analysis to help traders and investors understand market sentiment around specific cryptocurrencies.

How It Works

The workflow operates through several interconnected steps:

  • A webhook receives user input requesting news analysis on a specific cryptocurrency or topic
  • The LM Chat OpenAI node extracts a single-word keyword from the user input to focus the search
  • Multiple RSS feed readers pull the latest articles from major cryptocurrency news sources
  • The merge and filter nodes combine all articles and select only those matching the extracted keyword
  • The OpenAI node analyzes the sentiment of filtered articles using advanced language models
  • The workflow responds with compiled results back through the webhook

Use Cases

  • Cryptocurrency traders monitoring sentiment around specific coins before making trading decisions
  • Portfolio managers tracking market perception of their holdings across multiple news sources
  • Crypto investors conducting due diligence on new projects by analyzing community and media sentiment
  • News aggregators automatically categorizing and analyzing sentiment of blockchain-related stories
  • Risk analysts identifying potential market-moving news events and their sentiment implications

Nodes Used

  • Webhook – Receives incoming requests and triggers the workflow
  • LM Chat OpenAI – Extracts keywords from user input using language models
  • RSS Feed Reader – Aggregates articles from multiple cryptocurrency news sources
  • Set – Stores and manages variables and data between workflow steps
  • Merge – Combines data from multiple RSS feeds into a single dataset
  • Code – Executes custom filtering and data transformation logic
  • OpenAI – Performs sentiment analysis on news articles
  • Agent – Orchestrates AI decision-making across the workflow
  • Sticky Note – Documents workflow logic and instructions
  • Respond to Webhook – Sends analyzed results back to the requesting application

Prerequisites

  • Active n8n instance with access to OpenAI and LM Chat nodes
  • OpenAI API key for sentiment analysis capabilities
  • Basic understanding of RSS feeds and cryptocurrency news sources
  • Webhook URL accessible from your n8n instance
  • Knowledge of JSON data structures for customizing filters and prompts

Difficulty Level

Intermediate – This workflow requires familiarity with n8n node connections and API integration but uses pre-configured AI models that handle complex natural language processing. Users should understand how to add or modify RSS feeds and customize the sentiment analysis prompts for their specific needs.

This workflow template is shared under the n8n fair-code license. Free to use and modify.

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