Call for Papers:Vol.11 Issue.3

Submission
Last date		 28-Jun-2025
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-11,Issue-3. 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 MARKET PREDICTION USING RECURRENT NEURAL NETWORK
PaperId: :  14861
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 7 Issue 4 2021
DUI:    16.0415/IJARIIE-14861
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Sanjit KumarDayananda Sagar Academy of Technology and Management
Rishabh SharmaDayananda Sagar Academy of Technology and Management
Shubham SrivastavaDayananda Sagar Academy of Technology and Management
Siri A MuddebihalDayananda Sagar Academy of Technology and Management
Dr. Saravana Kumar RDayananda Sagar Academy of Technology and Management

Abstract

Machine Learning
machine learning, deep learning, stock prediction, stock, recurrent neural network, neural network, python, flask
The prediction and analysis of stock market data have got an important role in today’s economy. Our project is based on the prediction of stock values for the next 7 days that shows the variation if the stock is going to rise or fall. We will extract data from different websites using API’s then we will form a dataset from the past 2 years and then implement the neural network techniques like LSTM and Linear Regression to train and test the data and finally predicting the output values and using Matplotlib tool to plot a graph for better understanding to the users which will show the stock prices for the next 7 days. This will help the investors find potentially profitable stock. It can be used to gain an insight in to the economy as a whole. Having accurate information helps make better decisions.

Citations

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

IJARIIE Sanjit Kumar, Rishabh Sharma, Shubham Srivastava, Siri A Muddebihal, and Dr. Saravana Kumar R. "STOCK MARKET PREDICTION USING RECURRENT NEURAL NETWORK" International Journal Of Advance Research And Innovative Ideas In Education Volume 7 Issue 4 2021 Page 224-230
MLA Sanjit Kumar, Rishabh Sharma, Shubham Srivastava, Siri A Muddebihal, and Dr. Saravana Kumar R. "STOCK MARKET PREDICTION USING RECURRENT NEURAL NETWORK." International Journal Of Advance Research And Innovative Ideas In Education 7.4(2021) : 224-230.
APA Sanjit Kumar, Rishabh Sharma, Shubham Srivastava, Siri A Muddebihal, & Dr. Saravana Kumar R. (2021). STOCK MARKET PREDICTION USING RECURRENT NEURAL NETWORK. International Journal Of Advance Research And Innovative Ideas In Education, 7(4), 224-230.
Chicago Sanjit Kumar, Rishabh Sharma, Shubham Srivastava, Siri A Muddebihal, and Dr. Saravana Kumar R. "STOCK MARKET PREDICTION USING RECURRENT NEURAL NETWORK." International Journal Of Advance Research And Innovative Ideas In Education 7, no. 4 (2021) : 224-230.
Oxford Sanjit Kumar, Rishabh Sharma, Shubham Srivastava, Siri A Muddebihal, and Dr. Saravana Kumar R. 'STOCK MARKET PREDICTION USING RECURRENT NEURAL NETWORK', International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 4, 2021, p. 224-230. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/STOCK_MARKET_PREDICTION_USING_RECURRENT_NEURAL_NETWORK_ijariie14861.pdf (Accessed : 17 July 2021).
Harvard Sanjit Kumar, Rishabh Sharma, Shubham Srivastava, Siri A Muddebihal, and Dr. Saravana Kumar R. (2021) 'STOCK MARKET PREDICTION USING RECURRENT NEURAL NETWORK', International Journal Of Advance Research And Innovative Ideas In Education, 7(4), pp. 224-230IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/STOCK_MARKET_PREDICTION_USING_RECURRENT_NEURAL_NETWORK_ijariie14861.pdf (Accessed : 17 July 2021)
IEEE Sanjit Kumar, Rishabh Sharma, Shubham Srivastava, Siri A Muddebihal, and Dr. Saravana Kumar R, "STOCK MARKET PREDICTION USING RECURRENT NEURAL NETWORK," International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 4, pp. 224-230, Jul-Aug 2021. [Online]. Available: https://ijariie.com/AdminUploadPdf/STOCK_MARKET_PREDICTION_USING_RECURRENT_NEURAL_NETWORK_ijariie14861.pdf [Accessed : 17 July 2021].
Turabian Sanjit Kumar, Rishabh Sharma, Shubham Srivastava, Siri A Muddebihal, and Dr. Saravana Kumar R. "STOCK MARKET PREDICTION USING RECURRENT NEURAL NETWORK." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 7 number 4 (17 July 2021).
Vancouver Sanjit Kumar, Rishabh Sharma, Shubham Srivastava, Siri A Muddebihal, and Dr. Saravana Kumar R. STOCK MARKET PREDICTION USING RECURRENT NEURAL NETWORK. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2021 [Cited : 17 July 2021]; 7(4) : 224-230. Available from: https://ijariie.com/AdminUploadPdf/STOCK_MARKET_PREDICTION_USING_RECURRENT_NEURAL_NETWORK_ijariie14861.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 7/17/2021 5:54:33 PM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Driver Drowsiness Detection System Using OpenCV And IOTComputer Science And EngineeringAkshay Amrutkar Download
Stock Sense: Deep Learning based stock-market prediction toolComputer Science and Engineering (Data Science)Meet Manoj Agarwal Download
AN AI POWERED MENTAL HEATH AND WELLNESS COMPAIONComputer Science EngineeringDr . Archana B Download
PREDICTING GENETIC VARIANTS PATHOGENECITYComputer EngineeringSyed Arbeena Kausar Download
ANDROID MALWARE DETECTION USING MACHINE LEARNING TECHNIQUESCOMPUTER SCIENCE AND ENGINEERINGS. Saiful Islam Download
IMPROVING HEALTHCARE PREDICTION OF DIABETIC PATIENTS USING KNN IMPUTED FEATURES AND TRI-ENSEMBLE MODELCOMPUTER SCIENCE AND ENGINEERINGS. Mahammad Arif Download
MONEY LAUNDERING DETECTION USING MACHINE LEARNING METHODSCOMPUTER SCIENCE AND ENGINEERINGY B. Shashank Raj Download
LEVERAGING SPATIOTEMPORAL PATTERNS FOR CYBER ATTACK DETECTION IN DISTRIBUTION SYSTEMCOMPUTER SCIENCE AND ENGINEERINGV. Kumar Download
Real-Time Heart Disease Prediction Using Machine LearningCOMPUTER SCIENCE AND ENGINEERINGP. Sri Pavan Hari Charan Download
HAND AND FACE LANDMARKS DETECTION USING MEDIA PIPE AND AICOMPUTER SCIENCE AND ENGINEERINGK. V. Bharath Kumar Download
VEHICLES SPEED DETECTION SYSTEM USING OPENCVCOMPUTER SCIENCE AND ENGINEERINGS. Santosh Download
SUSPICIOUS HUMAN ACTIVITY RECOGNITION FROM SURVEILLANCE VIDEOS USING DEEP LEARNINGCOMPUTER SCIENCE AND ENGINEERINGM. Lakshmi kanth Download
DETECTION OF THYROID DISORDERS USING MACHINE LEARNING APPOARCHCOMPUTER SCIENCE AND ENGINEERINGP. Shamiulla Download
Events Recommendation SystemComputer Science and EngineeringDharsana S Download
Online Attendance Using Web ApplicationComputer EngineeringMrs. P. Saranya Download
12