Alpha-GPT 2.0: Human-in-the-Loop AI for Quantitative Investment
CoRR(2024)
摘要
Recently, we introduced a new paradigm for alpha mining in the realm of
quantitative investment, developing a new interactive alpha mining system
framework, Alpha-GPT. This system is centered on iterative Human-AI interaction
based on large language models, introducing a Human-in-the-Loop approach to
alpha discovery. In this paper, we present the next-generation Alpha-GPT 2.0
[Draft. Work in progress], a quantitative investment framework that
further encompasses crucial modeling and analysis phases in quantitative
investment. This framework emphasizes the iterative, interactive research
between humans and AI, embodying a Human-in-the-Loop strategy throughout the
entire quantitative investment pipeline. By assimilating the insights of human
researchers into the systematic alpha research process, we effectively leverage
the Human-in-the-Loop approach, enhancing the efficiency and precision of
quantitative investment research.
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