AI Research
Prompting the Market
Domenico's new article, published in the July 2026 issue of Technical Analysis of Stocks & Commodities.
Financial markets are becoming increasingly data-driven, making traditional chart interpretation alone insufficient to sustain a competitive edge. At the same time, artificial intelligence is changing how traders interact with financial data, enabling ideas to be translated into analytical tools through natural language prompting.
The article argues that the real value of AI lies not in replacing quantitative research, but in accelerating the transformation of intuitive trading concepts into structured, measurable, and testable workflows. By combining large language models with Python, traders can define precise rules, automate data analysis, and validate investment hypotheses in a reproducible manner.
The article illustrates this approach through the development of a relative strength screening tool, showing how prompting, programming, and systematic validation can work together to create a modern research process.
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