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The Gladiator Advisor is a system that combines ARIMA with a neural network and reinforcement learning to provide accurate time-series analysis and predictions. The system is trained using supervised learning and historical data, and then further fine-tuned with reinforcement learning algorithms such as Deep Q-Networks (DQN) and Proximal Policy Optimization (PPO). This allows the Gladiator Advisor to continuously improve and adapt its predictions based on real-world outcomes.