Technical stock analysis with Telegram, Airtable and a GPT-powered AI Agent — n8n Workflow
Übersicht
Video Guide
I prepared a detailed guide that demonstrates the complete process of building a trading agent automation using n8n and Telegram, seamlessly integrating various functions for stock analysis.
Youtube Link
Who is this for? This workflow is perfect for traders, financial analysts, and developers looking to automate stock analysis interactions via Telegram. It’s especially valuable for those who want to leverage AI tools for technical analysis without needing to write complex code.
Verwendete Knoten
Workflow-Vorschau
So funktioniert es
- 1
Auslöser
Der Workflow startet mit einem auslöser-Auslöser.
- 2
Verarbeitung
Die Daten fließen durch 24 Knoten, connecting agent, airtable, airtabletool.
- 3
Ausgabe
Der Workflow schließt seine Automatisierung ab und liefert das Ergebnis an das konfigurierte Ziel.
Knotendetails (24)
Airtable
airtable
HTTP Request
httpRequest
Telegram
telegram
AI Agent
n8n-nodes-langchain.agent
OpenAI Chat Model
n8n-nodes-langchain.lmChatOpenAi
Simple Memory
n8n-nodes-langchain.memoryBufferWindow
Call n8n Workflow Tool
n8n-nodes-langchain.toolWorkflow
OpenAI
n8n-nodes-langchain.openAi
So importieren Sie diesen Workflow
- 1Klicken Sie rechts auf die Schaltfläche JSON herunterladen, um die Workflow-Datei zu speichern.
- 2Öffnen Sie Ihre n8n-Instanz. Gehen Sie zu Workflows → Neu → Aus Datei importieren.
- 3Wählen Sie die heruntergeladene Datei
technical-stock-analysis-with-telegram-airtable-and-a-gpt-powered-ai-agentund klicken Sie auf Importieren. - 4Richten Sie Anmeldedaten für jeden Dienstknoten ein (API-Schlüssel, OAuth usw.).
- 5Klicken Sie auf Workflow testen, um zu überprüfen, ob alles funktioniert, und aktivieren Sie es dann.
Oder direkt in n8n → Aus JSON importieren einfügen:
Integrationen
Diesen Workflow holen
Herunterladen und mit einem Klick importieren
JSON herunterladenAuf n8n.io ansehenErstellt von
Mark Shcherbakov
@lowcodingdev
Tags
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