StockScreener FAQs

Question 1

What is StockScreener?

Accepted Answer

StockScreener is a tool that leverages local Large Language Models (LLMs) and web scraping to analyze stock data, providing insights into company details, profit analysis, and shareholding patterns.

Question 2

What data does StockScreener provide?

Accepted Answer

StockScreener retrieves company details like price, market cap, PE ratio, ROE, ROCE, extracts quarterly/yearly net profit, and analyzes shareholding patterns by promoters, DIIs, FIIs, and the public.

Question 3

What is MCP integration in StockScreener?

Accepted Answer

MCP (Model Context Protocol) integration allows StockScreener to seamlessly integrate with other MCP-compatible tools, enhancing its functionality and enabling structured tool usage by the language model.

Question 4

Why use a local LLM for stock analysis?

Accepted Answer

Using a local LLM (like Ollama Qwen3) ensures privacy and control over your data, as the analysis is performed on your machine without sending sensitive information to external servers.

Question 5

What technologies does StockScreener use?

Accepted Answer

StockScreener utilizes LangChain, Ollama (Qwen3), BeautifulSoup, and the Model Context Protocol (MCP) to provide a comprehensive and local stock analysis solution.

StockScreener

Key Features

Use Cases

StockScreener

Key Features

Use Cases