Indonesian stock market research agent with Sectors App, Gemini & Tavily

by Dzaky Jaya · 693 views · created 2025-10-13 · Market Research, AI Chatbot

What this workflow does

This AI workflow has 37 nodes and runs when another workflow calls it (plus 3 other triggers). Along the way it connects Telegram, Google Gemini Chat Model, Postgres Chat Memory and Embeddings Google Gemini and 2 more. It also calls api.sectors.app, api.tavily.com and generativelanguage.googleapis.com over HTTP.

How it runs

Trigger: When another workflow calls it (plus 3 other triggers).

1. AI Agent: runs an AI agent, with model: Google Gemini Chat Model; 3 tools (Sub-WebSearch, Sub-SectorsApp, VectorStore-CompanyKnowledge); memory: Postgres Chat Memory
2. If: checks a condition and branches into true / false
3. Sub-MainAgent (Execute Sub-workflow): calls another n8n workflow
4. Sub-MainAgent (Execute Sub-workflow): calls another n8n workflow
5. If: checks a condition and branches into true / false
6. Sub-MainAgent (Execute Sub-workflow): calls another n8n workflow
7. If: checks a condition and branches into true / false
8. Call Sub-VectorStore (Execute Sub-workflow): calls another n8n workflow
9. Respond to Chat (Chat): uses Chat
10. Send a text message (Telegram): uses Telegram

…plus 6 more steps. See the full node list below.

Services it uses

TelegramGoogle Gemini Chat ModelPostgres Chat MemoryEmbeddings Google GeminiSupabase Vector StoreHTTP Request

HTTP calls to: api.sectors.app, api.tavily.com, generativelanguage.googleapis.com

Before you upgrade to n8n 3.0

Nodes used (17)

• Chat Trigger@n8n/n8n-nodes-langchain.chatTrigger
• Ifn8n-nodes-base.if
• Execute Sub-workflown8n-nodes-base.executeWorkflow
• Chat@n8n/n8n-nodes-langchain.chat
• Telegram Triggern8n-nodes-base.telegramTrigger
• Telegramn8n-nodes-base.telegram
• Webhookn8n-nodes-base.webhook
• Respond to Webhookn8n-nodes-base.respondToWebhook
• AI Agent@n8n/n8n-nodes-langchain.agent
• Google Gemini Chat Model@n8n/n8n-nodes-langchain.lmChatGoogleGemini
• Postgres Chat Memory@n8n/n8n-nodes-langchain.memoryPostgresChat
• Embeddings Google Gemini@n8n/n8n-nodes-langchain.embeddingsGoogleGemini
• Supabase Vector Store@n8n/n8n-nodes-langchain.vectorStoreSupabase
• Call n8n Workflow Tool@n8n/n8n-nodes-langchain.toolWorkflow
• Execute Workflow Triggern8n-nodes-base.executeWorkflowTrigger
• Http Request Tooln8n-nodes-base.httpRequestTool
• Default Data Loader@n8n/n8n-nodes-langchain.documentDefaultDataLoader

From the author

This n8n workflow demonstrate how to configure AI Agent for financial research purposes especially for IDX data through Sectors App API. use cases: research stock market in Indonesia. analyze the performance of companies belonging to certain subsectors or…

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