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Analyze stock sentiment with GPT-4o and create Asana tasks with Slack alerts

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Analyze stock sentiment with GPT-4o and create Asana tasks with Slack alerts preview
Open on n8n.io

Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Description This workflow analyzes real time stock market sentiment and intent from public social media discussions and converts those signals into operations ready a...

Best for

  • Crypto Trading automation workflows
  • AI RAG automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.errortrigger, n8n-nodes-base.slack, n8n-nodes-base.stickynote, n8n-nodes-base.webhook, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.mcpclienttool, @n8n/n8n-nodes-langchain.lmchatopenai

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Rahul Joshi.

Original n8n.io source

1.1 Workflow description

Title
Analyze stock sentiment with GPT-4o and create Asana tasks with Slack alerts
Workflow name
Analyze stock sentiment with GPT-4o and create Asana tasks with Slack alerts

πŸ“˜ Description

This workflow analyzes real-time stock market sentiment and intent from public social media discussions and converts those signals into operations-ready actions. It exposes a webhook endpoint where a stock-market–related query can be submitted (for example, a stock, sector, index, or market event). The workflow then scans Twitter/X and Instagram for recent public discussions that indicate buying interest, selling pressure, fear, uncertainty, or emerging opportunities. An AI agent classifies each signal by intent type, sentiment, urgency, and strength. These insights are transformed into a prioritized Asana task for market or research teams and a concise Slack alert for leadership visibility. Built-in validation and error handling ensure reliable execution and fast debugging. This automation removes the need for manual social monitoring while keeping teams informed of emerging market risks and opportunities.

⚠️ Deployment Disclaimer

This template is designed for self-hosted n8n installations only. It relies on external MCP tools and custom AI orchestration that are not supported on n8n Cloud.

βš™οΈ What This Workflow Does (Step-by-Step)

  • 🌐 Receive Stock Market Query (Webhook Trigger) Accepts an external POST request containing a stock market query.
  • 🧾 Extract Stock Market Query from Payload Normalizes and prepares the query for analysis.
  • πŸ”Ž Analyze Social Media for Stock Market Intent (AI) Scans public Twitter/X and Instagram posts to detect actionable market intent signals.
  • πŸ“‘ Social Intelligence Data Fetch (MCP Tool) Retrieves relevant social data from external intelligence sources.
  • 🧠 Transform Market Intent Signals into Ops-Ready Actions (AI) Structures insights into priorities, summaries, and recommended actions.
  • 🧹 Parse Structured Ops Payload Validates and safely parses AI-generated JSON for downstream use.
  • πŸ“‹ Create Asana Task for Market Signal Review Creates a prioritized task with key signals, context, and recommendations.
  • πŸ“£ Send Market Risk & Sentiment Alert to Slack Delivers an executive-friendly alert summarizing risks or opportunities.
  • 🚨 Error Handler β†’ Slack Alert Posts detailed error information if any workflow step fails.

🧩 Prerequisites

β€’ Self-hosted n8n instance β€’ OpenAI and Azure OpenAI API credentials β€’ MCP (Xpoz) social intelligence credentials β€’ Asana OAuth credentials β€’ Slack API credentials

πŸ›  Setup Instructions

  • Deploy the workflow on a self-hosted n8n instance
  • Configure the webhook endpoint and test with a sample query
  • Connect OpenAI, Azure OpenAI, MCP, Asana, and Slack credentials
  • Set the correct Asana workspace and project ID
  • Select the Slack channel for alerts

πŸ›  Customization Tips

β€’ Adjust intent and sentiment classification rules in AI prompts β€’ Modify task priority logic or due-date rules β€’ Extend outputs to email reports or dashboards if required

πŸ’‘ Key Benefits

βœ” Real-time market sentiment detection from social media βœ” Converts unstructured signals into actionable tasks βœ” Provides leadership-ready Slack alerts βœ” Eliminates manual market monitoring βœ” Built-in validation and error visibility

πŸ‘₯ Perfect For

  • Market research teams
  • Investment and strategy teams
  • Operations and risk teams
  • Founders and analysts tracking market sentiment

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Error Handler Trigger

Type / Role
n8n-nodes-base.errorTrigger - errorTrigger
Config choices
Version 1

Block 2 - Slack: Send Error Alert

Type / Role
n8n-nodes-base.slack - slack
Config choices
Version 2.3

Block 3 - Sticky Note8

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 4 - Receive Stock Market Query Request (Webhook Trigger)

Type / Role
n8n-nodes-base.webhook - webhook
Config choices
Version 2.1

Block 5 - Extract Stock Market Query from Request Payload

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 6 - Analyze Social Media for Stock Market Intent Signals (AI)

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 3

Block 7 - Social Intelligence Data Fetch Tool (MCP Client)

Type / Role
@n8n/n8n-nodes-langchain.mcpClientTool - mcpClientTool
Config choices
Version 1.2

Block 8 - OpenAI Reasoning Engine for Market Intent Analysis

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.3

Block 9 - Transform Market Intent Signals into Ops-Ready Actions (AI)

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 3

Block 10 - Azure OpenAI Reasoning Engine for Ops Structuring

Type / Role
@n8n/n8n-nodes-langchain.lmChatAzureOpenAi - lmChatAzureOpenAi
Config choices
Version 1

Block 11 - Parse Structured Ops Payload from AI Output

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 12 - Create Asana Task for Market Signal Review

Type / Role
n8n-nodes-base.asana - asana
Config choices
Version 1

Block 13 - Send Market Risk & Sentiment Alert to Slack

Type / Role
n8n-nodes-base.slack - slack
Config choices
Version 2.1

Block 14 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 15 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 16 - Sticky Note2

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 17 - Sticky Note3

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 18 - Sticky Note4

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 19 - Sticky Note5

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

3. Summary Table

Workflow Analyze stock sentiment with GPT-4o and create Asana tasks with Slack alerts
Complexity advanced
Nodes 19
Categories Crypto Trading, AI RAG
Author Rahul Joshi
Published 05 Jan 2026

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/12498/12498.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Analyze stock sentiment with GPT-4o and create Asana tasks with Slack alerts do?

Description This workflow analyzes real time stock market sentiment and intent from public social media discussions and converts those signals into operations ready a...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Crypto Trading, AI RAG use case.