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 company
- comparing financial metrics between BBCA and BBRI
- providing technical analysis for certain ticker stock movement
- and many more
all from conversational agent UI chat.
Main components
- Input-n8nChatNative : handling and process input from native n8n chat ui
- Input-TelegramBot : handling and process input from Telegram Bot
- Input-WebUI(Webhook) : handling and process input from hosted Web UI through webhook
- Main Agent : processing raw user queries and delegate task to specialized agent if needed.
- Spec Agent - Sectors App : make request to Sectors App API to get real time financial data listed in IDX from available endpoint
- Spec Agent - Web Search : make web search from Google Grounding (Gemini API) and Tavily Search.
- Vector Document Processing : process document upload from user into embedding and vector store.
How it works
- user queries may received from multiple platform (we use three here: Telegram, hosted Web UI, and native n8n chat UI)
- if user also uploading document, it will process the document and store it in vector store
- the request send to the Main Agent to process the queries
- the Main Agent decide the task to delegate to Specialized Agent if nedded.
- the result then sent back to user based on the platform
How to use
You need this API:
you can optionally change the model or adding fallback model to handle token request, cause it may use quite many tokens.
