Alpha Factor Discovery

Latest papers

21 papers5 papers in the last four weeks, up 25% on the four weeks before. 0.0% of all new papers.

Lineage-Aware Search Control for LLM-Based Evolutionary Factor Mining
Oct 21, 2026Xintong Liu, Chenkai Zhang, Yanzhao Ma +1Alpha Factor Discovery LLMs for Evolutionary Optimization
Southern University of Science and Technology (SUSTech) Shenzhen, China
EvoQuantLab: Training-Free Dual-Loop Evolution for Auditable Quantitative Research
Oct 12, 2026Haolin Yang, Zhiqiang Qian, Chutian Chen +7Alpha Factor Discovery Quantitative Finance
The Hong Kong University of Science and Technology · Microsoft · Tsinghua University +1
AlphaPilot: Multi-Turn Tool-Using LLM Agents for Adaptive Alpha Mining with Reinforcement Learning
Oct 11, 2026Peiqi Jiang, Fan Zhang, Xin Xu +2Alpha Factor Discovery Quantitative Finance
Department of Mathematics, Hong Kong University of Science and Technology
FactorBench: A Portfolio-Aware Benchmark for Automated Factor Mining
Oct 3, 2026Zhuohan Wang, Carmine VentreAlpha Factor Discovery Quantitative Finance
Department of Informatics King’s College London London, UK
AlphaPareto: Formulaic Alpha Discovery with LLM-Guided Multi-Objective Reinforcement Learning
Sep 28, 2026Yingbo Zhao, Zeyu Yang, Zhoufan ZhuMulti-Objective Reinforcement Learning Non-Stationary RL
School of Economics Xiamen University Fujian, China · Paula and Gregory Chow Institute for Studies in Economics Xiamen University Fujian, China · School of Economics & Wang Yanan Institute for Studies in Economics Xiamen University Fujian, China
EverMine: Dissecting the Self-Evolution of Research Capabilities in Long-Horizon Alpha Research
Sep 27, 2026Siyuan Li, Jiangfeng Zhang, Rui Yao +3Quantitative Finance Alpha Factor Discovery
The Hong Kong University of Science and Technology (Guangzhou) · The Hong Kong Polytechnic University · Singapore Management University
AlphaDiverse: Post-Training Local Quantitative Research Agents for Diverse Exploration in Alpha Factor Mining
Sep 24, 2026Qingzhuo Wang, Zikun Wei, Zhihua Wei +1Multi-Agent LLM Systems Quantitative Finance
Tongji University · Shanghai Non-convex Intelligent Technology
GoAnt: Quality-Diversity Multi-Agent Search for Alpha Factor Discovery in Market Microstructure Data
Sep 8, 2026Stella Zhao, Tommy ShaMulti-Agent System Optimization Quantitative Finance
University of Minnesota, Minneapolis, MN, USA · Stony Brook University, Stony Brook, NY, USA
AlphaRJM: Reward-Jump Memory for Stochastic Return-Guided Alpha Discovery
Sep 8, 2026Sayan Dhan, Selvaraju NatarajanQuantitative Finance Sparse-Reward RL
Department of Mathematics Indian Institute of Technology Guwahati
AgonAlpha: Autonomous Alpha Discovery via Prompt Economy and Scalable Agentic Search
Aug 4, 2026Weicheng Ye, Youran Sun, Xingyu Ren +3Quantitative Finance Automated Algorithm Discovery
Department of Physics, The Chinese University of Hong Kong, Hong Kong SAR, China · Department of Mathematics, University of Maryland, College Park, MD, USA · Department of Computer Science, University of Maryland, College Park, MD, USA
Towards Autonomous Formulaic Alpha Discovery: An Evolutionary Computation Perspective
Aug 3, 2026Xinwei Yu, Yiyang Fu, Mingcheng Fan +3Automated Algorithm Discovery Evolutionary Optimization
Xi’an Jiaotong-Liverpool University, Suzhou 215123, China · Shanghai University, Shanghai 200444, China
AlphaSchema: Exploring the Space of Trading Semantics for LLM-Based Alpha Mining
Jul 29, 2026Jingyang Yi, Jian Yang, Yifei Jin +2Automated Algorithm Discovery Alpha Factor Discovery
1X-Tech · 2Xtech-PandaAI-Waton Joint Lab · 3Monash University +2
MAPLE: Efficient and Diverse Multi-Alpha Generation for Portfolio Construction
Jul 27, 2026Yu-Chen Den, Kuan-Yu Chen, Kendro Vincent +1Learning to Rank Ensemble Learning
SinoPac Holdings · Taipei, Taiwan · National Chengchi University
X-Alpha: An AI Quant Researcher with Memory-Driven Self-Evolution
Jul 9, 2026Fengyuan Liu, Yuchen Fu, Yuqi Wang +3Automated Algorithm Discovery Memory-Augmented Agents
School of Computing and Data Science, The University of Hong Kong · Grace Investment Machine
AI Trading's Alpha Singularity: Emergent Market Reasoning through Agent-to-Agent Self-Evolution
Jun 28, 2026Yuqi Li, Siyuan Liu, Bingjun LiuFinance Emergent Behavior in Multi-Agent Systems
Panda AI
AlphaMemo: Structured Search-Process Memory for Self-Evolving Alpha Mining Agents
May 26, 2026Hang Yu, Zifan Zheng, Chun Gan +4LLM Agent Memory Finance
University of Sydney · University of Edinburgh
From Feedback Loops to Policy Updates: Reinforcement Fine-Tuning for LLM-Based Alpha Factor Discovery
May 14, 2026Lingzhe Zhang, Tong Jia, Yunpeng Zhai +5RL for Language Models Alpha Factor Discovery
Peking University, Beijing, China · Alibaba Group, China · Nanjing University, Nanjing, China +1
FactorEngine: A Program-level Knowledge-Infused Factor Mining Framework for Quantitative Investment
Mar 17, 2026Qinhong Lin, Ruitao Feng, Yinglun Feng +7Alpha Factor Discovery Quantitative Finance
Beijing University of Posts and Telecommunications, China · Beijing Value Simplex Technology Co., Ltd., China · Yangtze Delta Research Institute, University of Electronic Science and Technology of China, China +1
AlphaLogics: A Market Logic-Driven Multi-Agent System for Scalable and Interpretable Alpha Factor Generation
Mar 10, 2026Zhangyuhua Weng, Shengli Zhang, Taotao Wang +1Alpha Factor Discovery Quantitative Finance
College of Electronic and Information Engineering, Shenzhen University
Hubble: An LLM-Driven Agentic Framework for Safe, Diverse, and Reproducible Alpha Factor Discovery
Mar 9, 2026Runze Shi, Shengyu Yan, Yuecheng Cai +1Alpha Factor Discovery Quantitative Finance
FactorMiner: A Self-Evolving Agent with Skills and Experience Memory for Financial Alpha Discovery
Feb 16, 2026Yanlong Wang, Jian Xu, Hongkang Zhang +3Alpha Factor Discovery Algorithmic Trading
Tsinghua Shenzhen International Graduate School, Tsinghua University · Pengcheng Laboratory · Shenzhen Finance Institute, Chinese University of Hong Kong

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Lineage-Aware Search Control for LLM-Based Evolutionary Factor Mining

Xintong Liu, Chenkai Zhang, Yanzhao Ma, Peng Yang

Southern University of Science and Technology (SUSTech) Shenzhen, China

Alpha Factor Discovery LLMs for Evolutionary Optimization Evolutionary Optimization Large Language Model-Guided Optimization

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Formulaic alpha factor mining searches for symbolic expressions that transform market data into predictive signals. Recent LLM-based evolutionary factor mining methods use large language models as semantic variation operators. Under the conventional LLM-EA paradigm, stochastic variation and fitness-based selection can leave the search weakly directed and concentrated around a narrow set of structurally similar factors. We argue that these limitations arise because current methods mainly organize search at the individual and population levels, leaving lineage-level control underused. A lineage connects successive factor variants through evolutionary descent. We propose LineageEvo, which uses lineage in two coupled forms of search control: (1) lineage-conditioned LLM variation, which distills Lineage-Scoped Search Experience into operator-specific priors and fuses them with global operator priors, providing persistent, lineage-relevant guidance for LLM generation; and (2) lineage-stratified search allocation, which balances factor quality against lineage concentration by distributing the search budget across lineages during evolutionary search. Together, these mechanisms make semantic variation more direction aware and prevent branches from dominating the evolution, thereby promoting the discovery of predictive and diverse factors. We evaluate LineageEvo on CSI 500 and S&P 500 in terms of factor predictiveness, portfolio performance, search efficiency, and lineage- and expression-level diversity. LineageEvo achieves the strongest predictive performance on both markets, while LSPS produces a more balanced lineage distribution and a structurally broader factor pool. The results support lineage as a useful intermediate unit for controlling LLM-based evolutionary factor search.