# Financial trading and forecasting agents Area: [LLM agents and tool use](https://mlsanity.com/agents/index.md). HTML: https://mlsanity.com/agents/financial-trading-and-forecasting-agents/ ## Key facts - Financial trading and forecasting agents: 399 papers on arXiv since 2023 (data through 14 Oct 2026). - 54 of its 399 mapped papers (14%) cite “TradingAgents: Multi-Agents LLM Financial Trading Framework” (2024, arXiv 2412.20138). - 51 of its 399 mapped papers (13%) cite “FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design” (2023, arXiv 2311.13743). - 47 new papers 17 Sep–14 Oct. ## Most cited here - [TradingAgents: Multi-Agents LLM Financial Trading Framework](https://mlsanity.com/paper/2412.20138/) (2024), cited by 54 papers here - [FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design](https://mlsanity.com/paper/2311.13743/) (2023), cited by 51 papers here - [INVESTORBENCH: A Benchmark for Financial Decision-Making Tasks with LLM-based Agent](https://mlsanity.com/paper/2412.18174/) (2024), cited by 27 papers here - [FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making](https://mlsanity.com/paper/2407.06567/) (2024), cited by 25 papers here - [Large Language Model Agent in Financial Trading: A Survey](https://mlsanity.com/paper/2408.06361/) (2024), cited by 14 papers here - [FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models](https://mlsanity.com/paper/2405.14767/) (2024), cited by 12 papers here - [Designing Heterogeneous LLM Agents for Financial Sentiment Analysis](https://mlsanity.com/paper/2401.05799/) (2024), cited by 11 papers here - [TimeSeriesScientist: A General-Purpose AI Agent for Time Series Analysis](https://mlsanity.com/paper/2510.01538/) (2025), cited by 11 papers here - [StockBench: Can LLM Agents Trade Stocks Profitably In Real-world Markets?](https://mlsanity.com/paper/2510.02209/) (2025), cited by 11 papers here - [AlphaAgents: Large Language Model based Multi-Agents for Equity Portfolio Constructions](https://mlsanity.com/paper/2508.11152/) (2025), cited by 10 papers here ## New (17 Sep–14 Oct) - [TimeRSI: Towards Self-Improved Agentic Deployment for Time-Series Foundation Models](https://mlsanity.com/paper/2610.19725/) (2026-10-14) - [JockeyBench: Evaluating LLM Agents on Horse-Racing Decision-Making](https://mlsanity.com/paper/2610.19589/) (2026-10-14) - [Can LLM Agents Efficiently Identify Appliance Faults? Insights From Diagnosing a Simulated Appliance](https://mlsanity.com/paper/2610.19291/) (2026-10-13) - [GIFT-Eval-CTX: A Benchmark For Contextual Forecasting Model Evaluation](https://mlsanity.com/paper/2610.17794/) (2026-10-13) - [Get In, Decide, Prove: A Merchant-Side Readiness Benchmark for Agentic Commerce](https://mlsanity.com/paper/2610.17378/) (2026-10-12) - [AutoMARS: Automatic and Scalable Multi-Agent Large Language Model Framework for Supply Chain Risk Assessment](https://mlsanity.com/paper/2610.17206/) (2026-10-12) - [RelLedger: Relational Information Governance for LLM Agent Organizations](https://mlsanity.com/paper/2610.16281/) (2026-10-12) - [AlphaPilot: Multi-Turn Tool-Using LLM Agents for Adaptive Alpha Mining with Reinforcement Learning](https://mlsanity.com/paper/2610.15488/) (2026-10-11) - [Hindsight Structured Advice Distillation: Steering Executor Agents with Advisors Trained on Their Failures and Task Characteristics](https://mlsanity.com/paper/2610.13000/) (2026-10-09) - [MemTrial: Learning When to Trust Memory in LLM Portfolio Agents](https://mlsanity.com/paper/2610.11732/) (2026-10-08) - [SOTA: Stock Options Trading Agents Guided by Option-Implied Return Distributions](https://mlsanity.com/paper/2610.10407/) (2026-10-07) - [LiveMACE: Process-Aware Evaluation of LLM Agent Capabilities in Evolving Markets](https://mlsanity.com/paper/2610.09872/) (2026-10-07) - [BazaarBench: Delegation Safety in Decentralized C2C Marketplaces Run by LLM Agents](https://mlsanity.com/paper/2610.06748/) (2026-10-05) - [EvoCast: Reliable Autonomous Research Agents for Iterative Forecasting Architecture Evolution](https://mlsanity.com/paper/2610.04517/) (2026-10-03) - [Agent Policy-Value Audit: Separating Transition Composition from Event Selection in Financial LLM Agents](https://mlsanity.com/paper/2610.04040/) (2026-10-02) - [Following the Flow the Law Requires: Training Voice Agents to Transfer to Unseen Regulated Procedures in Debt Collection](https://mlsanity.com/paper/2610.18881/) (2026-10-01) - [Do Your Own Research: Learning to Forecast by Learning to Search](https://mlsanity.com/paper/2610.01955/) (2026-10-01) - [Learning to Sell: Reinforcement Learning for Strategic Large Language Model Agents in Multi-Product Markets](https://mlsanity.com/paper/2609.33289/) (2026-10-01) - [Better Deck or Different Judge? Evaluating Agentic Harness Gains in Corporate and Investment Banking](https://mlsanity.com/paper/2609.39958/) (2026-09-30) - [QuantCode Model: Specializing Language Models for Executable Algorithmic Trading Code](https://mlsanity.com/paper/2609.39420/) (2026-09-30) - [RICE-Alpha: Reliability-Informed Correction with Event Graphs for LLM-Agent Stock Forecasting](https://mlsanity.com/paper/2609.34004/) (2026-09-30) - [Beyond a Better Score: Long-Horizon Agentic ML Development and Evaluation Protocol for Physics Time Series](https://mlsanity.com/paper/2610.14024/) (2026-09-29) - [Predictive Credit: Measuring What Scientific Explanations Add to Experimental Forecasts](https://mlsanity.com/paper/2610.00314/) (2026-09-29) - [Janus: Evidence-Before-Effect Sagas and Offline-Verifiable Provenance for Agentic LLMs](https://mlsanity.com/paper/2609.38266/) (2026-09-29) - [EnterpriseBench: Benchmarking LLM Agents on Enterprise-Level Strategic Reasoning and Decision-Making](https://mlsanity.com/paper/2609.37658/) (2026-09-29) - [The Default Trap: Rethinking Plan Evaluation in Tool-Using LLM Agents](https://mlsanity.com/paper/2609.36829/) (2026-09-29) - [Frontier Autolab: Organizational Memory, Adversarial Dissent and Temporal Leakage in Multi-Agent LLM Firms Across Fifty Years of Technological Change](https://mlsanity.com/paper/2609.36739/) (2026-09-29) - [FromPitch2Board: Benchmarking LLM Agents in Long-Horizon Football Management](https://mlsanity.com/paper/2609.34710/) (2026-09-28) - [LiveOption: Evaluating LLM Agents in Structured Option Trading with Nonlinear Payoffs](https://mlsanity.com/paper/2609.33470/) (2026-09-27) - [Self-Evolving Multi-Agent Symbolic Discovery for Financial Fundamental Analysis](https://mlsanity.com/paper/2609.32746/) (2026-09-26)