Reinforcement Learning algorithm for Crypto Trading

An algorithm for trading crypto currencies has been implemented. Your job is to change the variables to improve the output and incorporate how to add other algorithms to the solution. We will provide you with the exact requirements that we are looking for. Points to Note: 1. We are currently using the Q learning, PPO and other main algorithms 2. We have data from about 12 crypto coins, the main ones primarily include Bitcoin and ethereum. 3. The data ranges from 2013 upto 2020. There is no consensus currently on how much training should be used for the bot (trading agent in our case ) to mature. We have run the algo at about 200 epochs and that is sufficient to mature it. 4. The code is purely in Python In summary: the goal is to implement reinforcement learning to make an automatic trading agent that learns through past data and make decisions to maximize the profit. The main outputs are - whether to buy, hold or sell. -The profit or loss incurred - How much coins to buy sell at which days NOTE. : Keep in mind this isnt a simple to do project and although the algorithm is working, we need to change the outputs and make improvements to the code. Only bid if you have relevant skills. We will know if you dont have the proper skills for this project. Also, we are posting again since we received no response from the people who placed a bid when we contacted them, so if you don't plan to respond quickly kindly do not bid. Thank you