Large investment model

Jian GUO; Heung-Yeung SHUM

doi:10.1631/FITEE.2500268

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Large investment model

Special Feature on Theories and Applications of Financial Large Models | Updated：2025-11-18

- Large investment model
  Enhanced Publication
- 投资大模型
- Frontiers of Information Technology & Electronic Engineering Vol. 26, Issue 10, Pages: 1771-1792(2025)
- Affiliations：
  
  IDEA Research, International Digital Economy Academy, Shenzhen 518045, China
- Author bio：
  
  ‡ Corresponding author
  hshum@idea.edu.cn
- Funds：
- DOI：10.1631/FITEE.2500268
  CLC： TP391;F830.59
- Received：27 April 2025，
  
  Revised：2025-08-19，
  
  Published：2025-10
- Accepted：
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Jian GUO, Heung-Yeung SHUM. Large investment model[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(10): 1771-1792.
DOI：

Jian GUO, Heung-Yeung SHUM. Large investment model[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(10): 1771-1792. DOI： 10.1631/FITEE.2500268.

摘要

传统量化投资研究正面临边际效益递减与人力时间成本攀升的双重压力。为突破此困境，我们提出投资大模型（LIM）——一种旨在实现规模化性能与效率提升的新型量化投资研究范式。该模型通过端到端学习与构建底座模型的方法构建量化投资基础模型，使其能够从跨市场、跨资产类别、跨频率的多维度金融数据中自主学习综合信号模式。这些“全局规律”可迁移至下游策略建模阶段，针对具体任务实现性能优化。本文详述了LIM的系统架构设计，探讨了该范式下的关键技术挑战，并指出未来研究方向。

Abstract

Traditional quantitative investment research is encountering diminishing returns alongside rising labor and time costs. To overcome these challenges

we introduce the large investment model (LIM)

a novel research paradigm designed to enhance both performance and efficiency at scale. LIM employs end-to-end learning and universal modeling to create an upstream foundation model

which is capable of autonomously learning comprehensive signal patterns from diverse financial data spanning multiple exchanges

instruments

and frequencies. These "global patterns" are subsequently transferred to downstream strategy modeling

optimizing performance for specific tasks. We detail the system architecture design of LIM

address the technical challenges inherent in this approach

and outline potential directions for future research.

关键词

Keywords

references

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