mlsanityData to 7 Oct 2026

GPT-Signal: Generative AI for Semi-automated Feature Engineering in the Alpha Research Process

arXiv 2410.18448 ↗First posted 24 Oct 2024cs.CEcited by 7

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Abstract (arXiv)

In the trading process, financial signals often imply the time to buy and sell assets to generate excess returns compared to a benchmark (e.g., an index). Alpha is the portion of an asset's return that is not explained by exposure to this benchmark, and the alpha research process is a popular technique aiming at developing strategies to generate alphas and gain excess returns. Feature Engineering, a significant pre-processing procedure in machine learning and data analysis that helps extract and create transformed features from raw data, plays an important role in algorithmic trading strategies and the alpha research process. With the recent development of Generative Artificial Intelligence(Gen AI) and Large Language Models (LLMs), we present a novel way of leveraging GPT-4 to generate new return-predictive formulaic alphas, making alpha mining a semi-automated process, and saving time and energy for investors and traders.

Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 24 Oct 2024.

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Citing papers per year: 2024: 1; 2025: 3; 2026: 3.

7 papers.