stock trading

LLM in finance: paper collection

Posted on August 16, 2024 at 07:41 AM


Based on preliminary results, LLM + agent + reflection looks positive in stock market information fusion and signal prediction. The following are paper list collected.

  1. FinLlama: Financial Sentiment Classification for Algorithmic Trading Applications, https://arxiv.org/pdf/2403.12285

  2. Alpha-GPT: Human-AI Interactive Alpha Mining for Quantitative, https://arxiv.org/pdf/2308.00016

  3. RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback, https://arxiv.org/pdf/2309.00267

  4. TRADINGGPT: MULTI-AGENT SYSTEM WITH LAYERED MEMORY AND DISTINCT CHARACTERS FOR ENHANCED FINANCIAL TRADING PERFORMANCE, https://arxiv.org/pdf/2309.03736

  5. LESS IS MORE: AI DECISION-MAKING USING DYNAMIC DEEP NEURAL NETWORKS FOR SHORT-TERM STOCK INDEX PREDICTION, https://arxiv.org/abs/2408.11740

  6. StockGPT: A GenAI Model for Stock Prediction and Trading, https://arxiv.org/pdf/2404.05101v2

  7. RiskMiner: Discovering Formulaic Alphas via Risk Seeking Monte Carlo Tree Search, https://arxiv.org/pdf/2402.07080v2

  8. ECC Analyzer: Extract Trading Signal from Earnings Conference Calls using Large Language Model for Stock Performance Prediction, https://arxiv.org/pdf/2404.18470v1

  9. FINCON: A SYNTHESIZED LLM MULTI-AGENT SYSTEM WITH CONCEPTUAL VERBAL REINFORCEMENT FOR ENHANCED FINANCIAL DECISION MAKING, https://www.arxiv.org/pdf/2407.06567

  10. Multimodal Gen-AI for Fundamental Investment Research, https://arxiv.org/html/2401.06164v1

  11. QuantAgent: Seeking Holy Grail in Trading by Self-Improving Large Language Model, https://arxiv.org/pdf/2402.03755

  12. Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models, https://arxiv.org/pdf/2402.03659v3

  13. Can Large Language Models Beat Wall Street? Unveiling the Potential of AI in Stock Selection, https://arxiv.org/pdf/2401.03737v1

  14. When AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environments, https://arxiv.org/pdf/2407.18957v2

  15. LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction, https://aclanthology.org/2024.findings-acl.185.pdf

  16. A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading, https://arxiv.org/pdf/2407.09546

  17. Large Language Model Agent in Financial Trading: A Survey, https://arxiv.org/pdf/2408.06361v1

  18. FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design, https://arxiv.org/abs/2311.13743

  19. A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist, https://arxiv.org/abs/2402.18485

Misc


FEATURED TAGS
computer program javascript nvm node.js Pipenv Python 美食 AI artifical intelligence Machine learning data science digital optimiser user profile Cooking cycling green railway feature spot 景点 work technology F1 中秋节 dog setting sun sql photograph Alexandra canal flowers bee greenway corridors programming C++ passion fruit sentosa Marina bay sands pigeon squirrel Pandan reservoir rain otter Christmas orchard road PostgreSQL fintech sunset thean hou temple in sungai lembing 海上日出 SQL optimization pieces of memory 回忆 garden festival ta-lib backtrader chatGPT stable diffusion webui draw.io streamlit LLM AI goverance prompt engineering fastapi stock trading artificial-intelligence Tariffs AI coding AI agent FastAPI 人工智能 Tesla AI5 AI6 FSD AI Safety AI governance LLM risk management Vertical AI Insight by LLM LLM evaluation AI safety AI Governance Privacy & Data Protection Compliance Microsoft Scale AI Claude Anthropic 新加坡传统早餐 咖啡 Coffee Singapore traditional coffee breakfast Quantitative Assessment Oracle OpenAI Market Analysis Dot-Com Era AI Era Rise and fall of U.S. High-Tech Companies Technology innovation Sun Microsystems Bell Lab Agentic AI McKinsey report Dot.com era AI era Speech recognition Natural language processing Privacy Google Enterprise AI Nvdia AI cluster COE Singapore Shadow AI AI Goverance & risk Tiny Hopping Robot Robot Materials SCIGEN RL environments Reinforcement learning Continuous learning Google play store AI strategy Model Minimalism Fine-tuning smaller models LLM inference Closed models Open models Privacy trade-off MIT Innovations Investor Sentiment AI Innovation