From the provided stock price data of 10 shares for 11 months, NEED to predict the stock price of the next month (12th month). I need a model view with the inputs given and the result for the 12th month only displayed. LSTM algorithm to be used. And from the predicted stock prices, need to find the optimal reward using policy gradient algorithm. the particular stock that performs better)
Attached the Requirement.
29 freelancers are bidding on average $171 for this job
Hi, I have 8+ years of experience in machine learning and deep learning with forecasting. I have also built gold/commodity prediction using LSTM and other techniques. Please connect if you are interested.
I have done rainfall prediction with LSTM before, so I can do the stock price prediction using same LSTM algorithm. Contact me and lets discuss better about it. I await to hear from you. Thanks
Hello , I have worked on various ML projects using python and R. I have already worked on Churn Management, Risk Prediction and Stocks Prediction projects. I can easily help with your project.