StockScreener FAQs

Question 1

What is StockScreener and its primary purpose?

Accepted Answer

StockScreener is a local AI assistant that performs detailed stock analysis, utilizing web scraping and a privacy-focused local LLM (Ollama Qwen3) to provide comprehensive financial insights into companies.

Question 2

How does StockScreener ensure the privacy of my financial analysis?

Accepted Answer

It uses local LLMs (Ollama Qwen3) via the Model Context Protocol (MCP), meaning all analysis is performed entirely on your local machine. This ensures your financial queries and data remain private and secure, without sending information to external cloud services.

Question 3

What types of stock data can StockScreener analyze?

Accepted Answer

StockScreener can retrieve comprehensive company details like market cap, PE ratio, ROE, and ROCE. It also extracts and analyzes quarterly and yearly net profit data for financial performance and examines shareholding patterns from promoters, DIIs, FIIs, and the public.

Question 4

What core technologies power StockScreener?

Accepted Answer

StockScreener leverages the Model Context Protocol (MCP) for structured tool usage, Ollama (running Qwen3) for its local LLM capabilities, LangChain for building language model applications, and BeautifulSoup for efficient web scraping of financial data from Screener.in.

StockScreener

Key Features

Use Cases

StockScreener

Key Features

Use Cases