A Unified Multi-Modal Framework for Intelligent Financial Systems: Integrating Reinforcement Learning, High-Frequency Trading, and Game-Theoretic Approaches with Cross-Modal Sentiment Analysis

In three linesUnified framework integrating PPO, time-series prediction, in-context learning, game theory, and cross-modal sentiment analysis for financial systems. Results: +23.7% portfolio optimization, -31.2% high-frequency trading error, +18.9% recommendation accuracy, +27.4% Nash convergence, +15.6% sentiment analysis.

Summary generated by Claude — human-verified