I have dataset of EURUSD prices per minute. I want to predict the price of the next minute. I am trying to program this using a deep neural network. Is this the best method, or are their any other methods for this type of problem. Highly appreciate the input of community.
Best answer by Frissian V.
I know that LSTM networks are quite popular for predicting time series data, so that's where you may want to start out. That being said, predicting asset prices is a very complex practice, especially if you want to get down to the minute precision. Unfortunately, no matter how good your model is or the algorithm you use, the is a randomness factor that cannot be predicted with high accuracy. I'm not saying it's impossible, it's just very hard. Another thing you may want to check is incorporating more variables to the equation other than history prices alone. Real world models are usually multivariate in order to produce better predictions. Cheers!