Nov. 17, 2023, 6:58 a.m. | /u/GA64

Neural Networks, Deep Learning and Machine Learning

Question: If one is going to use a neural network for future stock market price prediction, where you have a time series of stock price values, can an ordinary backpropagation network be used for this purpose?

I am think of taking the stock price every 15 minutes, over a period of say 3 days (so that there will be 3 x 24 x 4 = 288 price values), and then entering these values (in normalised form) into a backpropagation network …

backpropagation data future network networks neural network neuralnetworks neurons ordinary prediction price series stock stock price time series values

More from / Neural Networks, Deep Learning and Machine Learning

Machine Learning Postdoctoral Fellow

@ Lawrence Berkeley National Lab | Berkeley, Ca

Senior Data Engineer (Microsoft Azure)

@ Capco | UK - London

Senior Data Analyst

@ Publicis Groupe | Bengaluru, India

Senior Data Engineer

@ Press Ganey | Chicago, IL, United States

Senior Data Scientist (remote from EU)

@ PriceHubble | Vienna, Vienna, Austria - Remote

Data Science Co-op

@ Novelis | Atlanta, GA, United States