The trading community is discovering that Large Language Models (LLMs) like ChatGPT aren't just for casual use—they're changing how traders do research.

Traditional Research vs LLMs

• Analysts used to scan 10-K filings, earnings reports, and analyst ratings manually.


• Now, LLMs can summarize, interpret, and benchmark this data in seconds.

Applications

• Earnings report summarization


• Analyst sentiment aggregation


• News classification


• Portfolio-specific alerts via prompts

LLMs also let traders create their own personal AI analysts. Ask, "What changed in Tesla’s earnings report vs last quarter?" and get a useful answer in seconds.

At Rapid Labs, we help financial clients integrate LLMs into custom dashboards and chat-based UIs to accelerate research and decision-making.

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