According to Lex Sokolin, a new study presented at NVIDIA's GTC 2026 introduces a hybrid quantum-classical financial agent for stock market prediction. This model integrates quantum reinforcement learning with classical neural networks, achieving faster training on accessible NVIDIA RTX 3090 GPUs. Tested on 18 years of Taiwan stock market data, the agent demonstrates potential for broader accessibility in financial AI, enabling applications like portfolio optimization and real-time trading.