The Hard Part of Building an AI Stock Screener Isn’t the LLM

This story was originally published on HackerNoon at: https://hackernoon.com/the-hard-part-of-building-an-ai-stock-screener-isnt-the-llm. The LLM may be the most visible part of an AI stock screener. It is not the part that makes the product trustworthy. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai-tools, #llm, #ai-stock-screener, #stock-tools, #ai-stock, #fintech, #ai-in-fintech, #financial-tools, and more. This story was written by: @pikafenger. Learn more about this writer by checking @pikafenger's about page, and for more stories, please visit hackernoon.com. People describe investment ideas as stories, while stock databases expect exact fields, operators, and time periods. Building a useful AI stock screener is therefore less about asking an LLM to “pick stocks” and more about translating ambiguous language into verifiable criteria, applying those criteria to structured data, and showing the user enough evidence to challenge the result.