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Monitor stock market with AI: news analysis & multi-channel alerts via Slack & Telegram

Daniel ShashkoDaniel Shashko
405 views
2/3/2026
Web ScrapperContent AnalysisLLMOpenAIInformation Extraction
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AI Customer Support Triage with Gmail, OpenAI, Airtable & Slack

How it Works

This workflow monitors your Gmail support inbox every minute, automatically sending each unread email to OpenAI for intelligent analysis. The AI evaluates sentiment (Positive/Neutral/Negative/Critical), urgency level (Low/Medium/High/Critical), categorizes requests (Technical/Billing/Feature Request/Bug Report/General), extracts key issues, and generates professional response templates.

The system calculates a priority score (0-110) by combining urgency and sentiment weights, then routes tickets accordingly. Critical issues trigger immediate Slack alerts with full context and 30-minute SLA reminders, while routine tickets post to standard monitoring channels. Every ticket logs to Airtable with complete analysis and thread tracking, then updates a Google Sheets dashboard for real-time analytics.

A secondary AI pass generates strategic insights (trend identification, risk assessment, actionable recommendations) and stores them back in Airtable. The entire process takes seconds from email arrival to team notification, eliminating manual triage and ensuring critical issues get immediate attention.

Who is this for?

  • Customer support teams needing automated prioritization for high email volumes
  • SaaS companies tracking support metrics and response times
  • Startups with lean teams requiring intelligent ticket routing
  • E-commerce businesses managing technical, billing, and return inquiries
  • Support managers needing data-driven insights into customer pain points

Setup Steps

  • Setup time: 20-30 minutes
  • Requirements: Gmail, OpenAI API key, Airtable account, Google Sheets, Slack workspace
  1. Monitor Support Emails: Connect Gmail via OAuth2, configure INBOX monitoring for unread emails
  2. AI Analysis Engine: Add OpenAI API key, system prompt pre-configured for support analysis
  3. Parse & Enrich Data: JavaScript code automatically calculates priority scores (no changes needed)
  4. Route by Urgency: Configure routing rules for critical vs routine tickets
  5. Slack Alerts: Create Slack app, get bot token and channel IDs, replace placeholders in nodes
  6. Airtable Database: Create base with "tblSupportTickets" table, add API key and Base ID (replace appXXXXXXXXXXXXXX)
  7. Google Sheets Dashboard: Create spreadsheet, enable Sheets API, add OAuth2 credentials, replace Sheet ID (1XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX)
  8. Generate Insights: Second OpenAI call analyzes patterns, stores insights in Airtable
  9. Test: Send test email, verify Slack alerts, check Airtable/Sheets data logging

Customization Guidance

  • Priority Scoring: Adjust urgency weight (25) and sentiment weight (10) in Code node to match your SLA requirements
  • Categories: Modify AI system prompt to add industry-specific categories (e.g., healthcare: appointments, prescriptions)
  • Routing Rules: Add paths for High urgency, VIP customers, or specific categories
  • Auto-Responses: Insert Gmail send node after routine tickets for automatic acknowledgment emails
  • Multi-Language: Add Google Translate node for non-English support
  • VIP Detection: Query CRM APIs or match email domains to flag enterprise customers
  • Team Assignment: Route different categories to dedicated Slack channels by department
  • Cost Optimization: Use GPT-3.5 (~$0.001/email) instead of GPT-4, self-host n8n for unlimited executions

Once configured, this workflow operates as your intelligent support triage layer—analyzing every email instantly, routing urgent issues to the right team, maintaining comprehensive analytics, and generating strategic insights to improve support operations.

Built by Daniel Shashko
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n8n Stock Market Monitor with AI News Analysis and Multi-Channel Alerts

This n8n workflow provides a powerful solution for monitoring stock market news, analyzing it with AI, and delivering multi-channel alerts to keep you informed. It fetches the latest stock market news from an RSS feed, leverages OpenAI for sentiment analysis, and then sends tailored notifications to Slack and Telegram, while also logging the data in Google Sheets and Airtable.

What it does

This workflow automates the following steps:

  1. Schedules Execution: Runs at a predefined interval (e.g., daily, hourly) to fetch the latest news.
  2. Fetches Stock Market News: Reads articles from a specified RSS feed related to stock market news.
  3. Analyzes News with AI (OpenAI): For each news article, it sends the title and description to OpenAI to perform sentiment analysis or extract key insights.
  4. Categorizes News: Uses a "Switch" node to route news based on certain conditions (e.g., sentiment, keywords, or other AI-extracted data).
  5. Sends Slack Alerts: Posts relevant news and analysis to a designated Slack channel.
  6. Sends Telegram Alerts: Sends similar alerts to a Telegram chat or group.
  7. Logs Data to Google Sheets: Records the news articles, AI analysis, and other relevant information into a Google Sheet for historical tracking and further analysis.
  8. Logs Data to Airtable: Stores the same data in an Airtable base, potentially for more structured data management or dashboarding.
  9. Merges Data: Consolidates data streams before logging to ensure all relevant information is captured.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running instance of n8n.
  • RSS Feed URL: The URL of a stock market news RSS feed you wish to monitor.
  • OpenAI API Key: An API key for OpenAI to perform AI analysis.
  • Slack Account & Incoming Webhook/Bot Token: A Slack workspace and either an incoming webhook URL or a bot token for sending messages.
  • Telegram Bot Token & Chat ID: A Telegram bot token and the chat ID where you want to receive messages.
  • Google Sheets Account: Access to a Google Sheets spreadsheet for logging data.
  • Airtable Account & Base ID: An Airtable account with a base and table set up to receive the data.

Setup/Usage

  1. Import the Workflow: Download the JSON provided and import it into your n8n instance.
  2. Configure Credentials:
    • OpenAI: Set up your OpenAI credential with your API key.
    • Slack: Configure your Slack credential (OAuth or API Token) and specify the channel ID.
    • Telegram: Set up your Telegram credential with your bot token and specify the chat ID.
    • Google Sheets: Configure your Google Sheets credential (OAuth 2.0) and specify the Spreadsheet ID and Sheet Name.
    • Airtable: Configure your Airtable credential (API Key or OAuth 2.0) and specify the Base ID and Table Name.
  3. Customize Nodes:
    • "RSS Read" Node (ID: 37): Update the "URL" field with your desired stock market RSS feed.
    • "OpenAI" Node (ID: 840): Adjust the prompt to tailor the AI analysis (e.g., "Analyze the sentiment of this stock market news: {{ $json.title }} - {{ $json.description }}").
    • "Switch" Node (ID: 112): Modify the conditions to route news based on your preferences (e.g., if OpenAI's sentiment is "positive", send to a specific channel).
    • "Slack" Node (ID: 40): Customize the message content and target channel.
    • "Telegram" Node (ID: 49): Customize the message content and target chat.
    • "Google Sheets" Node (ID: 18): Ensure the spreadsheet and sheet names are correctly configured and map the data fields you want to save.
    • "Airtable" Node (ID: 2): Ensure the base and table names are correctly configured and map the data fields you want to save.
  4. Activate the Workflow: Once configured, activate the workflow to start monitoring.
  5. Schedule Trigger (ID: 839): Adjust the schedule to your desired frequency for checking news (e.g., every 1 hour, every 15 minutes).

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