Journal article Open Access

CNN based Stock Market Prediction

Guruprasad S; H Chandramouli

Sponsor(s)
Blue Eyes Intelligence Engineering & Sciences Publication (BEIESP)

Indian Stock market is highly dynamic and especially after globalization stock market modeling has become even more complex due to influence of multiple parameters. In presence of multiple parameters, some parameters have increased influence than others in prediction of stock market trends. This influence of individual parameters and their joint influence over time is better modeled with Convolutional Neural Network Classifiers. This work models the dynamics of stock market in terms of Convolutional Neural Networks and multiple parameters impacting the stock trend. The proposed solution is implemented for Indian stock market for stocks in different sectors to prove its prediction accuracy.

Files (530.3 kB)
Name Size
C5282029320.pdf
md5:0afbe4ed313a3aeb0a7e5cc1039d9c63
530.3 kB Download
11
8
views
downloads
Views 11
Downloads 8
Data volume 4.2 MB
Unique views 8
Unique downloads 8

Share

Cite as