An Effective Time Series Analysis for Equity Market Prediction Using Deep Learning Model
- Title
- An Effective Time Series Analysis for Equity Market Prediction Using Deep Learning Model
- Creator
- Sachdeva A.; Jethwani G.; Manjunath C.; Balamurugan M.; Krishna A.V.N.
- Description
- A stock Exchange is a market where securities are traded. Every day, billions are traded at various stock exchanges across the world. In recent years prediction of movement of stock market is regarded as fascinating and has created a demand in financial market time series prediction. A precise forecasting of equity market is needed to provide higher returns for investors. Since there is high complexity in predicting stock market profits, developing models for it becomes difficult. The data mining and machine learning techniques has played an important role in Prediction of stock market movement. This study attempted to develop a deep learning model using Recurrent Neural Network for forecasting movement in the National Stock Exchange of India's benchmark broad based stock market index(NIFTY 50) for the Indian equity market. In this paper the NIFTY 50 index and INFYOSYS Ltd historical data from Yahoo finance companies has been selected for forecasting and analysis. 2019 IEEE.
- Source
- 2019 International Conference on Data Science and Communication, IconDSC 2019
- Date
- 2019-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Deep Learning; Long Short Term Memory; Recurrent Neural Network; Stock Price Prediction
- Coverage
- Sachdeva A., Department of Computer Science and Engineering, Christ, Deemed to be University, Bangalore, India; Jethwani G., Department of Computer Science and Engineering, Christ, Deemed to be University, Bangalore, India; Manjunath C., Department of Computer Science and Engineering, Christ, Deemed to be University, Bangalore, India; Balamurugan M., Department of Computer Science and Engineering, Christ, Deemed to be University, Bangalore, India; Krishna A.V.N., Department of Computer Science and Engineering, Christ, Deemed to be University, Bangalore, India
- Rights
- Restricted Access
- Relation
- ISBN: 978-153869319-3
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Sachdeva A.; Jethwani G.; Manjunath C.; Balamurugan M.; Krishna A.V.N., “An Effective Time Series Analysis for Equity Market Prediction Using Deep Learning Model,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/20807.