Utilization of Deep Reinforcement Learning (RL) Techniques for Financial Decision-Making

I'm looking for an expert in Deep Reinforcement Learning (RL) to help me with algorithmic trading in the stock market. To develop intelligent decision-making systems in the financial domain by exploring the potential of deep reinforcement learning models in outperforming traditional financial strategies and human experts in various market conditions, by extracting meaningful features from the financial data, coupled with a reinforcement learning agent that learns to maximize the performance. The project will include literature review, data pre-processing, feature engineering, model building, hyper-parameter optimization of the deep reinforcement learning model, and model's performance evaluation based on some metrics. The optimized deep reinforcement learning model will be applied to historical financial data to aid in decision-making for a real-life problem.
Deliverables:
• Build a model using Python and RL concept to predict one of the companies’ performances (trading prices)
• Using data from TASI
• Using the model to compare with American stock market.
• Report with IEEE format ( it should contain all sections: abstract, introduction literature review, design, simulation and testing, result, conclusion, references)
• PPT.