Indonesian Stock Market Research Agent with Sectors App, Gemini & Tavily

Description

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:
Gemini API: get it free from https://aistudio.google.com/
Tavily API: get it free from https://www.tavily.com/
Sectors App API: get it from https://sectors.app/api/

you can optionally change the model or adding fallback model to handle token request, cause it may use quite many tokens.