Question 1

How is an AI screener different from a traditional screener?

Accepted Answer

Traditional screeners require you to know exactly which filters to set and how to combine them. AI screeners understand natural language — you describe the type of stock you want, and the AI translates that into the right filters. This makes screening accessible to traders who know what they want but not which metrics to filter on.

Question 2

Can AI screeners replace human analysis?

Accepted Answer

No. AI screeners are idea generators — they narrow the universe of stocks from thousands to a manageable list. You still need to do due diligence on each result: check the financials, read SEC filings, review the share structure, and assess the chart. The best use of AI screening is speed, not replacement.

Question 3

What AI powers stock screeners?

Accepted Answer

Most AI screeners use large language models (LLMs) to parse natural language queries, then translate them into structured database filters. Some also use machine learning models trained on historical data to score or rank results. All Seeing Eye's AI Screener uses a hybrid approach: deterministic parsing for common queries and LLM fallback for complex or ambiguous requests.

What Is an AI Stock Screener? How Natural Language Screening Works

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