FinRL-X is an AI-native quantitative trading infrastructure that uses deep reinforcement learning algorithms (A2C, DDPG, PPO) to build and deploy algorithmic trading strategies. It provides a unified pipeline covering data processing, strategy composition, backtesting, and broker execution through a weight-centric interface. The system targets researchers and practitioners who want to apply reinforcement learning to portfolio management, stock selection, and automated trading.