Can I read Deep Learning for Stock Price Prediction on EtoBox?

Deep Learning for Stock Price Prediction by ABHISHEK TRIPATHI is a document available to read on EtoBox.

What is Deep Learning for Stock Price Prediction about?

This document proposes a deep learning model called MFNN (Multi Filters Neural Network) to perform feature engineering and predict stock price movements. It discusses how traditional statistical and machine learning methods have limitations and deep learning methods can more efficiently learn features from financial time series data. The MFNN model applies different filter layers to map time series samples into a feature space to distinguish patterns for prediction. Experimental results on 30 datasets show

Author

ABHISHEK TRIPATHI

Language

EN