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Enhanced Trading Systems with Intelligent Market Analysis

arXiv 2610.13998 ↗First posted 27 Sep 2026cs.LG cs.AIcited by 0

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Abstract (arXiv)

This paper proposes a hybrid reinforcement learning trading framework integrating intraday market data with transformer-based financial sentiment signals. The system extracts sentiment dynamics and semantic event clusters from financial news and incorporates them into a PPO-based trading agent. Experiments on intraday NSE data demonstrate improved risk-adjusted returns compared to price-only baselines.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 10 of its 19 references that are in the map. First posted on arXiv 27 Sep 2026.

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10 of 19 references.

References · 10

  1. 2023FinGPT: Open-Source Financial Large Language Modelscited by 253
  2. 2023Enhancing Financial Sentiment Analysis via Retrieval Augmented Large Language Modelscited by 68
  3. 2021FinRL: Deep Reinforcement Learning Framework to Automate Trading in Quantitative Financecited by 58
  4. 2024Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Modelscited by 36
  5. 2024OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domaincited by 29
  6. 2024Automate Strategy Finding with LLM in Quant Investmentcited by 26
  7. 2021DeepScalper: A Risk-Aware Reinforcement Learning Framework to Capture Fleeting Intraday Trading Opportunitiescited by 15
  8. 2023Analyzing FOMC Minutes: Accuracy and Constraints of Language Modelscited by 2
  9. 2024MOT: A Mixture of Actors Reinforcement Learning Method by Optimal Transport for Algorithmic Tradingcited by 2
  10. 2024Aligning LLMs with Human Instructions and Stock Market Feedback in Financial Sentiment Analysiscited by 2

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  1. 2024Learning the Market: Sentiment-Based Ensemble Trading Agents
  2. 2025Integrating Large Language Models and Reinforcement Learning for Sentiment-Driven Quantitative Trading
  3. 2026FinSMART: Financial Sentiment Analysis for Algorithmic Trading through Market-Aligned Reinforcement Learning
  4. 2025News-Aware Direct Reinforcement Trading for Financial Markets
  5. 2025TradingGroup: A Multi-Agent Trading System with Self-Reflection and Data-Synthesis
  6. 2025Exploring Sentiment Manipulation by LLM-Enabled Intelligent Trading Agents
  7. 2026A Unified Multi-Modal Framework for Intelligent Financial Systems: Integrating Reinforcement Learning, High-Frequency Trading, and Game-Theoretic Approaches with Cross-Modal Sentiment Analysis
  8. 2025Adaptive Financial Sentiment Analysis for NIFTY 50 via Instruction-Tuned LLMs , RAG and Reinforcement Learning Approaches