# Is it possible to predict stock values using one year stock data

I'm building a project that gathers the maximum amount of historic data about a certain company and try to predict its future market stock values.

I have company's 1 years stock values like open , close, low, high ,volume for each day.

Using these much data, can I predict the stock value?

What can be the approach for this? Is a simple NN with back-propagation training the best I can hope for? Stock data looks like -