Stock market prediction using Recurrent Neural Networks(RNN) & Long Short Term Memory(LSTM):
Recurrent Neural Networks is deep learning topic used for Language Modelling & Prediction, Machine Translation (Translating the text from one language to other ), Speech Recognition, Image recognition and characterization, Video Tagging and Forecasting.
Recurrent Neural Networks is used mostly for the Prediction of stock prices. Currently, more than 70% of the decisions taken regarding stock biddings in Wallstreet are automated and RNN plays an important role in it.
Here in Technocourses, we are conducting a workshop on how to forecast the stock market. It involves collecting the real-time data from online sources, training the model and predicting the stock price for the next day.