Call for Papers:Vol.10 Issue.6

Submission
Last date		 30-Dec-2024
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-10,Issue-6. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Stock Price Prediction Using Regression And Aritificial Neural Network
PaperId: :  4570
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 3 Issue 2 2017
DUI:    16.0415/IJARIIE-4570
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Vinod MehtaPimpri Chinchwad College of Engineering
Omkar ParkhiPimpri Chinchwad College of Engineering
Shridhar PomanPimpri Chinchwad College of Engineering
Kedar ParvePimpri Chinchwad College of Engineering

Abstract

Computer Engineering
Prediction methods, Stock markets, regression analysis, stock price, Neural Network.
Stock markets are highly volatile and play a vital role in terms of contibution to the economy. Most stockbrokers use feedbacks within their community as well as trends of stocks to advice clients. This paper aims to explore the rereach and developement in stock market prediction applications implementations using regression analysis and artificial neural networks. The algorithm was implemented on a 210 days data of a particular stock and 30 days testing data. This system presents two approaches to analyze the data from stock market. One of them is regression analysis of data from widely available stock market records to predict future stock prices. The other approach is artificial neural network method. The proposed system will make use of neural networks with back propagation for parallel and distributed computing and regression analysis to prevent system failure in case of sudden fluctuation in the stock price due to uuprecedented events such as natural calamity,scams, etc . The use of back propagation ensures that error is reduced and accuracy is improved.The system does not guarantee a greater accuracy however, it certainly prevents the system from failing by using regression analysis for irregular inputs.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Vinod Mehta, Omkar Parkhi, Shridhar Poman, and Kedar Parve. "Stock Price Prediction Using Regression And Aritificial Neural Network" International Journal Of Advance Research And Innovative Ideas In Education Volume 3 Issue 2 2017 Page 3066-3068
MLA Vinod Mehta, Omkar Parkhi, Shridhar Poman, and Kedar Parve. "Stock Price Prediction Using Regression And Aritificial Neural Network." International Journal Of Advance Research And Innovative Ideas In Education 3.2(2017) : 3066-3068.
APA Vinod Mehta, Omkar Parkhi, Shridhar Poman, & Kedar Parve. (2017). Stock Price Prediction Using Regression And Aritificial Neural Network. International Journal Of Advance Research And Innovative Ideas In Education, 3(2), 3066-3068.
Chicago Vinod Mehta, Omkar Parkhi, Shridhar Poman, and Kedar Parve. "Stock Price Prediction Using Regression And Aritificial Neural Network." International Journal Of Advance Research And Innovative Ideas In Education 3, no. 2 (2017) : 3066-3068.
Oxford Vinod Mehta, Omkar Parkhi, Shridhar Poman, and Kedar Parve. 'Stock Price Prediction Using Regression And Aritificial Neural Network', International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 2, 2017, p. 3066-3068. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Stock_Price_Prediction_Using_Regression_And_Aritificial_Neural_Network_ijariie4570.pdf (Accessed : 07 May 2021).
Harvard Vinod Mehta, Omkar Parkhi, Shridhar Poman, and Kedar Parve. (2017) 'Stock Price Prediction Using Regression And Aritificial Neural Network', International Journal Of Advance Research And Innovative Ideas In Education, 3(2), pp. 3066-3068IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Stock_Price_Prediction_Using_Regression_And_Aritificial_Neural_Network_ijariie4570.pdf (Accessed : 07 May 2021)
IEEE Vinod Mehta, Omkar Parkhi, Shridhar Poman, and Kedar Parve, "Stock Price Prediction Using Regression And Aritificial Neural Network," International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 2, pp. 3066-3068, Mar-App 2017. [Online]. Available: https://ijariie.com/AdminUploadPdf/Stock_Price_Prediction_Using_Regression_And_Aritificial_Neural_Network_ijariie4570.pdf [Accessed : 07 May 2021].
Turabian Vinod Mehta, Omkar Parkhi, Shridhar Poman, and Kedar Parve. "Stock Price Prediction Using Regression And Aritificial Neural Network." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 3 number 2 (07 May 2021).
Vancouver Vinod Mehta, Omkar Parkhi, Shridhar Poman, and Kedar Parve. Stock Price Prediction Using Regression And Aritificial Neural Network. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2017 [Cited : 07 May 2021]; 3(2) : 3066-3068. Available from: https://ijariie.com/AdminUploadPdf/Stock_Price_Prediction_Using_Regression_And_Aritificial_Neural_Network_ijariie4570.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 5/7/2021 10:00:03 AM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
A Review on Ad Makers- Creation & Design Advertising CampaignsComputer EngineeringSwapnil Ohol1 Download
DETECTING FACIAL FORGERIES USING NOVEL FREQUENCY CONVOLUTIONAL NEURAL NETWORKComputer ScienceChikati Madhava Rao Download
Detecting Diabetes Early and Classifying Risk with Interpretable Deep Learning ModelsComputer ScienceMohmad Ahmed Ali Download
Enhance Accuracy of Medical Disease Prediction Using Machine Learning TechniquesMachine LearningSandeep Singh Sikarwar Download
Transformer-based Generative Adversarial Network (GAN) hybrid model for sentiment analysisInformation Technologyhridesh kumar Download
A Step Ahead in Operational Resilience - Integrating Observability with DevOpsComputer EngineeringAmit Sengupta Download
The Influence of Artificial Intelligence and Human-Computer Interaction on Enhancing Children's Learning ExperiencesComputer Engineering,Supriya S Kendhuli Download
Medicinal Plants Identification Using Deep LearningComputer Engineering Rohan Kumar Verma Download
“How to balance automation and ethics when rolling out AI automation in an Educational Framework”Computer SciecneSudhakar mishra Download
Microservices Fault Tolerance PatternsComputer EngineeringAmit Sengupta Download
Forecasting and Categorization of Cardiac Arrhythmia using Soft Computational ApproachesComputer Science and EngineeringDr. Sivaprakash. C Download
Enhancing CybersecurityComputer EngineeringG Tarun Download
Microservices Design PatternsComputer EngineeringAmit Sengupta Download
The Novel Approach to Detect Kidney Stones Using Deep Learning and Convolutional Neural NetworksCSEN Manjunatha Download
An investigation into the use of deep learning and image processing in the domain of diabetic medical careCSEHR Ravikumar Download
12