July 2026
Intermediate to advanced
536 pages
10h 39m
English
Traditional market research requires hours of manual work: reading financial statements, analyzing price patterns, comparing competitors, and synthesizing findings into actionable insights. Modern AI systems can automate much of this work, processing documents at scale and generating structured analyses that would take human analysts far longer to produce. This chapter shows you how to build AI-powered research tools that augment your trading workflow.
The recipes in this chapter progress from single-agent systems to multi-agent workflows that mirror how research teams operate. You will start by building an AI equity research analyst that answers questions about financial statements ...
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