Orchestration Framework for Financial Agents: From Algorithmic Trading to Agentic Trading
Paper
•
2512.02227
•
Published
R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and
Model Joint Optimization
Paper
•
2505.15155
•
Published
•
1
AI-Trader: Benchmarking Autonomous Agents in Real-Time Financial Markets
Paper
•
2512.10971
•
Published
•
2
QTMRL: An Agent for Quantitative Trading Decision-Making Based on
Multi-Indicator Guided Reinforcement Learning
Paper
•
2508.20467
•
Published
AlphaQuanter: An End-to-End Tool-Orchestrated Agentic Reinforcement
Learning Framework for Stock Trading
Paper
•
2510.14264
•
Published
•
10
QuantAgent: Price-Driven Multi-Agent LLMs for High-Frequency Trading
Paper
•
2509.09995
•
Published
•
16
FinWorld: An All-in-One Open-Source Platform for End-to-End Financial AI
Research and Deployment
Paper
•
2508.02292
•
Published
•
1
TradeTrap: Are LLM-based Trading Agents Truly Reliable and Faithful?
Paper
•
2512.02261
•
Published
TRADES: Generating Realistic Market Simulations with Diffusion Models
Paper
•
2502.07071
•
Published
Pre-training Time Series Models with Stock Data Customization
Paper
•
2506.16746
•
Published
•
1
StockBench: Can LLM Agents Trade Stocks Profitably In Real-world
Markets?
Paper
•
2510.02209
•
Published
•
54