Cover Image

Alpha-GPT: Human-AI Interactive Alpha Mining for Quantitative Investment

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Saizhuo, Yuan, Hang, Zhou, Leon, Ni, Lionel M., Shum, Heung-Yeung, Guo, Jian
Format:	Preprint
Published:	2023
Subjects:	Computational Finance Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Alpha-GPT 2.0: Human-in-the-Loop AI for Quantitative Investment
by: Yuan, Hang, et al.
Published: (2024)

Large Investment Model
by: Guo, Jian, et al.
Published: (2024)

QuantBench: Benchmarking AI Methods for Quantitative Investment
by: Wang, Saizhuo, et al.
Published: (2025)

QuantAgent: Seeking Holy Grail in Trading by Self-Improving Large Language Model
by: Wang, Saizhuo, et al.
Published: (2024)

From Deep Learning to LLMs: A survey of AI in Quantitative Investment
by: Cao, Bokai, et al.
Published: (2025)

QuantaAlpha: An Evolutionary Framework for LLM-Driven Alpha Mining
by: Han, Jun, et al.
Published: (2026)

AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors
by: Shi, Hao, et al.
Published: (2024)

AlphaAgent: LLM-Driven Alpha Mining with Regularized Exploration to Counteract Alpha Decay
by: Tang, Ziyi, et al.
Published: (2025)

AlphaEval: A Comprehensive and Efficient Evaluation Framework for Formula Alpha Mining
by: Ding, Hongjun, et al.
Published: (2025)

The Alpha Illusion: Reported Alpha from LLM Trading Agents Should Not Be Treated as Deployment Evidence
by: Ye, Yuxuan, et al.
Published: (2026)

Alpha Mining and Enhancing via Warm Start Genetic Programming for Quantitative Investment
by: Ren, Weizhe, et al.
Published: (2024)

Guided Learning: Lubricating End-to-End Modeling for Multi-stage Decision-making
by: Guo, Jian, et al.
Published: (2024)

From Feedback Loops to Policy Updates: Reinforcement Fine-Tuning for LLM-Based Alpha Factor Discovery
by: Zhang, Lingzhe, et al.
Published: (2026)

Synergistic Formulaic Alpha Generation for Quantitative Trading based on Reinforcement Learning
by: Shin, Hong-Gi, et al.
Published: (2024)

AlphaX: An AI-Based Value Investing Strategy for the Brazilian Stock Market
by: de Castro, Paulo André Lima
Published: (2025)

QuantFactor REINFORCE: Mining Steady Formulaic Alpha Factors with Variance-bounded REINFORCE
by: Zhao, Junjie, et al.
Published: (2024)

AI PB: A Grounded Generative Agent for Personalized Investment Insights
by: Park, Daewoo, et al.
Published: (2025)

LiveTradeBench: Seeking Real-World Alpha with Large Language Models
by: Yu, Haofei, et al.
Published: (2025)

Chain-of-Alpha: Unleashing the Power of Large Language Models for Alpha Mining in Quantitative Trading
by: Cao, Lang
Published: (2025)

$\text{Alpha}^2$: Discovering Logical Formulaic Alphas using Deep Reinforcement Learning
by: Xu, Feng, et al.
Published: (2024)

Exploring the Synergy of Quantitative Factors and Newsflow Representations from Large Language Models for Stock Return Prediction
by: Guo, Tian, et al.
Published: (2025)

AlphaSAGE: Structure-Aware Alpha Mining via GFlowNets for Robust Exploration
by: Chen, Binqi, et al.
Published: (2025)

Alpha Discovery via Grammar-Guided Learning and Search
by: Yang, Han, et al.
Published: (2026)

BERT vs GPT for financial engineering
by: Sharkey, Edward, et al.
Published: (2024)

Modeling News Interactions and Influence for Financial Market Prediction
by: Wang, Mengyu, et al.
Published: (2024)

Hubble: An LLM-Driven Agentic Framework for Safe, Diverse, and Reproducible Alpha Factor Discovery
by: Shi, Runze, et al.
Published: (2026)

Airalogy: AI-empowered universal data digitization for research automation
by: Yang, Zijie, et al.
Published: (2025)

Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
by: Sun, Jiashuo, et al.
Published: (2023)

Unveiling the Potential of Sentiment: Can Large Language Models Predict Chinese Stock Price Movements?
by: Zhang, Haohan, et al.
Published: (2023)

Large Language Models in Finance: A Survey
by: Li, Yinheng, et al.
Published: (2023)

AI-Driven Alpha Decay: Algorithmic Homogenization, Reflexive Signal Erosion, and the Paradox of Intelligent Markets
by: Meng, Shuchen, et al.
Published: (2026)

Alpha-R1: Alpha Screening with LLM Reasoning via Reinforcement Learning
by: Jiang, Zuoyou, et al.
Published: (2025)

Be.FM: Open Foundation Models for Human Behavior
by: Xie, Yutong, et al.
Published: (2025)

Harnessing Earnings Reports for Stock Predictions: A QLoRA-Enhanced LLM Approach
by: Ni, Haowei, et al.
Published: (2024)

Alphanetv4: Alpha Mining Model
by: Wu, Wenjun
Published: (2024)

KALE-LM-Chem: Vision and Practice Toward an AI Brain for Chemistry
by: Dai, Weichen, et al.
Published: (2024)

Do LLM Personas Dream of Bull Markets? Comparing Human and AI Investment Strategies Through the Lens of the Five-Factor Model
by: Borman, Harris, et al.
Published: (2024)

CryptoGPT: a 7B model rivaling GPT-4 in the task of analyzing and classifying real-time financial news
by: Zhang, Ying, et al.
Published: (2024)

ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition
by: Liu, Yujie, et al.
Published: (2025)

Enhancing Investment Analysis: Optimizing AI-Agent Collaboration in Financial Research
by: Han, Xuewen, et al.
Published: (2024)