Based on preliminary results, LLM + agent + reflection looks positive in stock market information fusion and signal prediction. The following are paper list collected.
- FinLlama: Financial Sentiment Classification for Algorithmic Trading Applications, https://arxiv.org/pdf/2403.12285
- Alpha-GPT: Human-AI Interactive Alpha Mining for Quantitative, https://arxiv.org/pdf/2308.00016
- RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback, https://arxiv.org/pdf/2309.00267
- TRADINGGPT: MULTI-AGENT SYSTEM WITH LAYERED MEMORY AND DISTINCT CHARACTERS FOR ENHANCED FINANCIAL TRADING PERFORMANCE, https://arxiv.org/pdf/2309.03736
- LESS IS MORE: AI DECISION-MAKING USING DYNAMIC DEEP NEURAL NETWORKS FOR SHORT-TERM STOCK INDEX PREDICTION, https://arxiv.org/abs/2408.11740
- StockGPT: A GenAI Model for Stock Prediction and Trading, https://arxiv.org/pdf/2404.05101v2
- RiskMiner: Discovering Formulaic Alphas via Risk Seeking Monte Carlo Tree Search, https://arxiv.org/pdf/2402.07080v2
- ECC Analyzer: Extract Trading Signal from Earnings Conference Calls using Large Language Model for Stock Performance Prediction, https://arxiv.org/pdf/2404.18470v1
- FINCON: A SYNTHESIZED LLM MULTI-AGENT SYSTEM WITH CONCEPTUAL VERBAL REINFORCEMENT FOR ENHANCED FINANCIAL DECISION MAKING, https://www.arxiv.org/pdf/2407.06567
- Multimodal Gen-AI for Fundamental Investment Research, https://arxiv.org/html/2401.06164v1
- QuantAgent: Seeking Holy Grail in Trading by Self-Improving Large Language Model, https://arxiv.org/pdf/2402.03755
- Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models, https://arxiv.org/pdf/2402.03659v3
- Can Large Language Models Beat Wall Street? Unveiling the Potential of AI in Stock Selection, https://arxiv.org/pdf/2401.03737v1
- When AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environments, https://arxiv.org/pdf/2407.18957v2
- LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction, https://aclanthology.org/2024.findings-acl.185.pdf
- A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading, https://arxiv.org/pdf/2407.09546
- Large Language Model Agent in Financial Trading: A Survey, https://arxiv.org/pdf/2408.06361v1
- FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design, https://arxiv.org/abs/2311.13743
- A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist, https://arxiv.org/abs/2402.18485
Misc
- 151 Trading Strategies, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3247865
- 101 Formulaic Alphas, https://arxiv.org/pdf/1601.00991
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