AutomationFlowsAI & RAG › Get Ipo Calendar Alerts via Telegram with Finnhub API and Gemini AI

Get Ipo Calendar Alerts via Telegram with Finnhub API and Gemini AI

ByMalik Hashir @malikx on n8n.io

Perfect for investors, traders, and anyone interested in the latest stock market opportunities.

Cron / scheduled trigger★★★★☆ complexityAI-powered15 nodesAgentOutput Parser StructuredHTTP RequestGoogle Gemini ChatTelegram
AI & RAG Trigger: Cron / scheduled Nodes: 15 Complexity: ★★★★☆ AI nodes: yes Added:

This workflow corresponds to n8n.io template #5439 — we link there as the canonical source.

This workflow follows the Agent → HTTP Request recipe pattern — see all workflows that pair these two integrations.

The workflow JSON

Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →

Download .json
{
  "meta": {
    "templateCredsSetupCompleted": true
  },
  "nodes": [
    {
      "id": "e494e461-9cea-4e9d-a7ee-46d2cfe6da40",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1060,
        -480
      ],
      "parameters": {
        "content": ""
      },
      "typeVersion": 1
    },
    {
      "id": "cc48535d-9e80-477a-9ac9-d5b397f63f23",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -340,
        -440
      ],
      "parameters": {
        "content": ""
      },
      "typeVersion": 1
    },
    {
      "id": "8c194792-6899-44ee-834c-c8420ef93ee5",
      "name": "Sticky Note2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        180,
        -500
      ],
      "parameters": {
        "content": ""
      },
      "typeVersion": 1
    },
    {
      "id": "25b6f380-e329-47e2-9bae-e97ad38196e0",
      "name": "Sticky Note3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1400,
        -520
      ],
      "parameters": {
        "content": ""
      },
      "typeVersion": 1
    },
    {
      "id": "58d73bcc-d9a1-4f48-b20f-1004951b0077",
      "name": "Sticky Note4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1840,
        -520
      ],
      "parameters": {
        "content": ""
      },
      "typeVersion": 1
    },
    {
      "id": "373e7bf3-35cf-447e-b936-30de5e7077ed",
      "name": "Set API Key for Finhubb & Dates",
      "type": "n8n-nodes-base.set",
      "position": [
        -200,
        -200
      ],
      "parameters": {},
      "typeVersion": 3.4
    },
    {
      "id": "174c446e-f69c-4950-96e4-f5a9403e3e95",
      "name": "Dynamically Sets the Date",
      "type": "n8n-nodes-base.code",
      "position": [
        -560,
        -200
      ],
      "parameters": {},
      "typeVersion": 2
    },
    {
      "id": "ab34f816-3dd1-4401-8f77-2c315b8a2157",
      "name": "AI Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        1020,
        -180
      ],
      "parameters": {},
      "typeVersion": 1.9
    },
    {
      "id": "dbaf3740-ea86-4c95-b041-a59551549af4",
      "name": "Structured Output Parser",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        1300,
        180
      ],
      "parameters": {},
      "typeVersion": 1.2
    },
    {
      "id": "c7f32849-5ba1-4ade-b742-e90f3909d86c",
      "name": "Organizes Input",
      "type": "n8n-nodes-base.code",
      "position": [
        720,
        -180
      ],
      "parameters": {},
      "typeVersion": 2
    },
    {
      "id": "4b8749b0-3472-4d9d-b9dc-da3626f0dd1b",
      "name": "Sticky Note5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        860,
        80
      ],
      "parameters": {
        "content": ""
      },
      "typeVersion": 1
    },
    {
      "id": "177c9d31-3857-47f6-aee2-a845cdd3790b",
      "name": "Gets Upcoming Earnings",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        340,
        -180
      ],
      "parameters": {},
      "typeVersion": 4.2
    },
    {
      "id": "105c86b5-109b-403c-ba42-e3b02f6624a3",
      "name": "Google Gemini Chat Model (Formats Output)",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        980,
        180
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "db29a1b0-f9e0-4640-8e88-75475a725f47",
      "name": "Schedule Every 7  Days",
      "type": "n8n-nodes-base.scheduleTrigger",
      "position": [
        -940,
        -200
      ],
      "parameters": {},
      "typeVersion": 1.2
    },
    {
      "id": "f0b24a1a-a9ef-48d1-a740-46edecf630a2",
      "name": "Send Upcoming IPO Calendar Updates via Telegram",
      "type": "n8n-nodes-base.telegram",
      "position": [
        1560,
        -180
      ],
      "parameters": {},
      "typeVersion": 1.2
    }
  ],
  "connections": {
    "AI Agent": {
      "main": [
        [
          {
            "node": "Send Upcoming IPO Calendar Updates via Telegram",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Organizes Input": {
      "main": [
        [
          {
            "node": "AI Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Gets Upcoming Earnings": {
      "main": [
        [
          {
            "node": "Organizes Input",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Schedule Every 7  Days": {
      "main": [
        [
          {
            "node": "Dynamically Sets the Date",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Structured Output Parser": {
      "ai_outputParser": [
        [
          {
            "node": "AI Agent",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    },
    "Dynamically Sets the Date": {
      "main": [
        [
          {
            "node": "Set API Key for Finhubb & Dates",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Set API Key for Finhubb & Dates": {
      "main": [
        [
          {
            "node": "Gets Upcoming Earnings",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Google Gemini Chat Model (Formats Output)": {
      "ai_languageModel": [
        [
          {
            "node": "AI Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Send Upcoming IPO Calendar Updates via Telegram": {
      "main": [
        []
      ]
    }
  }
}
Pro

For the full experience including quality scoring and batch install features for each workflow upgrade to Pro

About this workflow

Perfect for investors, traders, and anyone interested in the latest stock market opportunities.

Source: https://n8n.io/workflows/5439/ — original creator credit. Request a take-down →

More AI & RAG workflows → · Browse all categories →

Related workflows

Workflows that share integrations, category, or trigger type with this one. All free to copy and import.

AI & RAG

Author: Nguyen Thieu Toan Category: Community & Knowledge Automation Tags: Telegram, Reddit, n8n Forum, AI Summarization, Gemini, Groq

Groq Chat, Output Parser Structured, Memory Mongo Db Chat +5
AI & RAG

This workflow is perfect for digital marketers, brand managers, or data analysts and Busy people, seeking to monitor real-time trends and competitor activity without manual effort. The workflow is tri

HTTP Request, Telegram, Agent +2
AI & RAG

This workflow is perfect for content marketers, journalists, or researchers who need to find specific articles without manually sifting through countless news feeds.

Output Parser Structured, HTTP Request, Agent +2
AI & RAG

The job search process is filled with manual, frustrating tasks—reading endless job descriptions only to find the seniority is wrong, the role requires a language you don't speak, or a "hybrid" job ha

HTTP Request, Output Parser Structured, Agent +3
AI & RAG

This workflow automates brand monitoring on X by analyzing both the text and the images in posts. It uses multi-modal AI to score brand relevance, filters out noise, logs important mentions in Airtabl

Airtable, Output Parser Structured, Google Gemini +4