mlsanityData to 7 Oct 2026

StockGPT: A GenAI Model for Stock Prediction and Trading

arXiv 2404.05101 ↗First posted 7 Apr 2024q-fin.CP cs.AI q-fin.PMcited by 11

Not on the map. Why?

Abstract (arXiv)

This paper introduces StockGPT, an autoregressive ``number'' model trained and tested on 70 million daily U.S. stock returns over nearly 100 years. Treating each return series as a sequence of tokens, StockGPT automatically learns the hidden patterns predictive of future returns via its attention mechanism. On a held-out test sample from 2001 to 2023, daily and monthly rebalanced long-short portfolios formed from StockGPT predictions yield strong performance. The StockGPT-based portfolios span momentum and long-/short-term reversals, eliminating the need for manually crafted price-based strategies, and yield highly significant alphas against leading stock market factors, suggesting a novel AI pricing effect. This highlights the immense promise of generative AI in surpassing human in making complex financial investment decisions.

Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). Builds on 10 of its 30 references that are in the map. First posted on arXiv 7 Apr 2024.

Builds on

10 of 30 references.

References · 10

  1. 2017Attention Is All You Needcited by 59,932
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  3. 2020Language Models are Few-Shot Learnerscited by 32,199
  4. 2022OPT: Open Pre-trained Transformer Language Modelscited by 3,464
  5. 2023BloombergGPT: A Large Language Model for Financecited by 923
  6. 2024Chronos: Learning the Language of Time Seriescited by 712
  7. 2020FinBERT: A Pretrained Language Model for Financial Communicationscited by 161
  8. 2023Can ChatGPT Forecast Stock Price Movements? Return Predictability and Large Language Modelscited by 125
  9. 2023ClinicalGPT: Large Language Models Finetuned with Diverse Medical Data and Comprehensive Evaluationcited by 85
  10. 2024The Social Impact of Generative AI: An Analysis on ChatGPTcited by 18

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 2; 2025: 3; 2026: 6.

11 papers.

  1. 2024Large Language Model Agent in Financial Trading: A Surveycited by 60
  2. 2024Opportunities and Challenges of Generative-AI in Financecited by 6
  3. 2025Bridging Language Models and Financial Analysiscited by 4
  4. 2026A Review of Large Language Models for Stock Price Forecasting from a Hedge-Fund Perspectivecited by 2
  5. 2025The Gaining Paths to Investment Success: Information-Driven LLM Graph Reasoning for Venture Capital Predictioncited by 1
  6. 2026Moira: Language-driven Hierarchical Reinforcement Learning for Pair Tradingcited by 1
  7. 2025Large-scale portfolio optimization with variational neural annealingcited by 0
  8. 2026BizFinBench.v2: Towards Reliable LLMs in Finance via Real-User Data and Offline/Online Bilingual Evaluationcited by 0
  9. 2026UniFinEval: Towards Unified Evaluation of Financial Multimodal Models across Text, Images and Videoscited by 0
  10. 2026Beyond Agent Architecture: Execution Assumptions and Reproducibility in LLM-Based Trading Systemscited by 0
  11. 2026VAIOM: Continuous-Input, Discrete-Output Decoder-Only Financial Sequence Modelingcited by 0