An AI Framework for Predicting Stock Market Trends

Rebecca Yang

doi:10.36676/jrps.v15.i2.1565

Authors

Rebecca Yang Department of Financial Analytics, Northern Technical Institute, Malaysia

DOI:

https://doi.org/10.36676/jrps.v15.i2.1565

Keywords:

Stock Market, Prediction Models, Sentiment Analysis

Abstract

This paper proposes a framework for predicting stock market trends using AI models, incorporating sentiment analysis and historical stock data to improve prediction accuracy.

References

Alahari, Jaswanth, Dheerender Thakur, Punit Goel, Venkata Ramanaiah Chintha, and Raja Kumar Kolli. 2022. "Enhancing iOS Application Performance through Swift UI: Transitioning from Objective-C to Swift." International Journal for Research Publication & Seminar 13(5):312. Retrieved September 14, 2024 (https://doi.org/10.36676/jrps.v13.i5.1504). DOI: https://doi.org/10.36676/jrps.v13.i5.1504

Alahari, Jaswanth, Abhishek Tangudu, Chandrasekhara Mokkapati, Om Goel, and Arpit Jain. 2024. "Implementing Continuous Integration/Continuous Deployment (CI/CD) Pipelines for Large-Scale iOS Applications." SHODH SAGAR® Darpan International Research Analysis 12(3):522. https://doi.org/10.36676/dira.v12.i3.104. DOI: https://doi.org/10.36676/dira.v12.i3.104

Alahari, Jaswanth, Amit Mangal, Swetha Singiri, Om Goel, and Punit Goel. 2023. "The Impact of Augmented Reality (AR) on User Engagement in Automotive Mobile Applications." Innovative Research Thoughts 9(5):202–12. doi:10.36676/irt.v9.i5.1483. DOI: https://doi.org/10.36676/irt.v9.i5.1483

Alahari, Jaswanth, Dasaiah Pakanati, Harshita Cherukuri, Om Goel, and Prof. (Dr.) Arpit Jain. 2023. "Best Practices for Integrating OAuth in Mobile Applications for Secure Authentication." SHODH SAGAR® Universal Research Reports 10(4):385. https://doi.org/10.36676/urr.v10.i4 DOI: https://doi.org/10.36676/urr.v10.i4.1354

Alahari, Jaswanth, Kumar Kodyvaur Krishna Murthy, Saketh Reddy Cheruku, A Renuka, and Punit Goel. 2024. "Leveraging Core Data for Efficient Data Storage and Retrieval in iOS Applications." Modern Dynamics: Mathematical Progressions 1(2):173. https://doi.org/10.36676/mdmp.v1.i2.19. DOI: https://doi.org/10.36676/mdmp.v1.i2.19

Alahari, Jaswanth, Raja Kumar Kolli, Shanmukha Eeti, Shakeb Khan, and Prachi Verma. 2022. "Optimizing iOS User Experience with SwiftUI and UIKit: A Comprehensive Analysis." International Journal of Creative Research Thoughts (IJCRT) 10(12): f699.

Alahari, Jaswanth, Dheerender Thakur, Er. Kodamasimham Krishna, S. P. Singh, and Punit Goel. 2022. "The Role of Automated Testing Frameworks in Reducing Mobile Application Bugs." International Journal of Computer Science and Engineering (IJCSE) 11(2):9–22.

Alahari, Jaswanth, Abhishek Tangudu, Chandrasekhara Mokkapati, Shakeb Khan, and S. P. Singh. 2021. "Enhancing Mobile App Performance with Dependency Management and Swift Package Manager (SPM)." International Journal of Progressive Research in Engineering Management and Science 1(2):130-138. https://doi.org/10.58257/IJPREMS10. DOI: https://doi.org/10.58257/IJPREMS10

Agarwal, Nishit, Rikab Gunj, Venkata Ramanaiah Chintha, Vishesh Narendra Pamadi, Anshika Aggarwal, and Vikhyat Gupta. 2023. "GANs for Enhancing Wearable Biosensor Data Accuracy." SHODH SAGAR® Universal Research Reports 10(4):533. https://doi.org/10.36676/urr.v10.i4.1362. DOI: https://doi.org/10.36676/urr.v10.i4.1362

Agarwal, Nishit, Rikab Gunj, Fnu Antara, Pronoy Chopra, A Renuka, and Punit Goel. 2024. "Hyper Parameter Optimization in CNNs for EEG Analysis." Modern Dynamics: Mathematical Progressions 1(2):27. Hyderabad, Telangana, India: Modern Dynamics. doi: https://doi.org/10.36676/mdmp.v1.i2.27. DOI: https://doi.org/10.36676/mdmp.v1.i2.27

"Agarwal, Nishit, Rikab Gunj, Amit Mangal, Swetha Singiri, Akshun Chhapola, and Shalu Jain. 2022. “Self-Supervised Learning for EEG Artifact Detection.” International Journal of Creative Research Thoughts 10(12)

.p. Retrieved from https://www.ijcrt.org/IJCRT2212667."

Agarwal, N., Daram, S., Mehra, A., Goel, O., & Jain, S. (2022). Machine learning for muscle dynamics in spinal cord rehab. International Journal of Computer Science and Engineering (IJCSE), 11(2), 147–178. © IASET. https://www.iaset.us/archives?jname=14_2&year=2022&submit=Search

Agarwal, Nishit, Dheerender Thakur, Kodamasimham Krishna, Punit Goel, and S. P. Singh. 2021. "LLMS for Data Analysis and Client Interaction in MedTech." International Journal of Progressive Research in Engineering Management and Science (IJPREMS) 1(2):33-52. DOI: https://www.doi.org/10.58257/IJPREMS17.

Agarwal, N., Murthy, P., Kumar, R., Goel, O., & Agarwal, R. (2023). Predictive analytics for real-time stress monitoring from BCI. International Journal of Research in Modern Engineering and Emerging Technology (IJRMEET), 11(7), 61. https://www.ijrmeet.org

Agarwal, Nishit, Umababu Chinta, Vijay Bhasker Reddy Bhimanapati, Shubham Jain, and Shalu Jain. 2021. "EEG Based Focus Estimation Model for Wearable Devices." International Research Journal of Modernization in Engineering, Technology and Science 3(11):1436. doi: https://doi.org/10.56726/IRJMETS16996. DOI: https://doi.org/10.56726/IRJMETS16996

Archit Joshi, Vishwas Rao Salunkhe, Shashwat Agrawal, Prof.(Dr) Punit Goel, & Vikhyat Gupta,. (2022). Optimizing Ad Performance Through Direct Links and Native Browser Destinations. International Journal for Research Publication and Seminar, 13(5), 538–571. https://doi.org/10.36676/jrps.v13.i5.1528 DOI: https://doi.org/10.36676/jrps.v13.i5.1528

Archit Joshi, Siddhey Mahadik, Md Abul Khair, Om Goel, & Prof.(Dr.) Arpit Jain. (2024). Leveraging System Browsers for Enhanced Mobile Ad Conversions. Darpan International Research Analysis, 12(1), 180–206. https://doi.org/10.36676/dira.v12.i1.111 DOI: https://doi.org/10.36676/dira.v12.i1.111

Archit Joshi, Rahul Arulkumaran, Nishit Agarwal, Anshika Aggarwal, Prof.(Dr) Punit Goel, & Dr. Alok Gupta. (2023). Cross Market Monetization Strategies Using Google Mobile Ads. Innovative Research Thoughts, 9(1), 480–507. https://doi.org/10.36676/irt.v9.i1.1498 DOI: https://doi.org/10.36676/irt.v9.i1.1498

Archit Joshi, Murali Mohana Krishna Dandu, Vanitha Sivasankaran, A Renuka, & Om Goel. (2023). Improving Delivery App User Experience with Tailored Search Features. Universal Research Reports, 10(2), 611–638. https://doi.org/10.36676/urr.v10.i2.1373 DOI: https://doi.org/10.36676/urr.v10.i2.1373

Archit Joshi, Krishna Kishor Tirupati, Akshun Chhapola, Shalu Jain, & Om Goel,. (2024). Architectural Approaches to Migrating Key Features in Android Apps. Modern Dynamics: Mathematical Progressions, 1(2), 495–539. https://doi.org/10.36676/mdmp.v1.i2.33 DOI: https://doi.org/10.36676/mdmp.v1.i2.33

"Joshi, Archit, Raja Kumar Kolli, Shanmukha Eeti, Punit Goel, Arpit Jain, and Alok Gupta. 2023. ""MVVM in Android UI Libraries: A Case Study of Rearchitecting Messaging SDKs."" International Journal of Progressive Research in Engineering Management and Science 3(12):444-459. https://doi.org/10.58257/IJPREMS32376.

Joshi, Archit, Shreyas Mahimkar, Sumit Shekhar, Om Goel, Arpit Jain, and Aman Shrivastav. 2021. "Deep Linking and User Engagement Enhancing Mobile App Features." International Research Journal of Modernization in Engineering, Technology, and Science 3(11): Article 1624. https://doi.org/10.56726/IRJMETS17273. DOI: https://doi.org/10.56726/IRJMETS17273

Krishna Kishor Tirupati, Siddhey Mahadik, Md Abul Khair, Om Goel, & Prof.(Dr.) Arpit Jain. (2022). Optimizing Machine Learning Models for Predictive Analytics in Cloud Environments. International Journal for Research Publication and Seminar, 13(5), 611–642. https://doi.org/10.36676/jrps.v13.i5.1530 DOI: https://doi.org/10.36676/jrps.v13.i5.1530

Krishna Kishor Tirupati, Rahul Arulkumaran, Nishit Agarwal, Anshika Aggarwal, & Prof.(Dr) Punit Goel. (2024). Integrating Azure Services for Real Time Data Analytics and Big Data Processing. Darpan International Research Analysis, 12(1), 207–232. https://doi.org/10.36676/dira.v12.i1.112 DOI: https://doi.org/10.36676/dira.v12.i1.112

Krishna Kishor Tirupati, Murali Mohana Krishna Dandu, Vanitha Sivasankaran Balasubramaniam, A Renuka, & Om Goel. (2023). End to End Development and Deployment of Predictive Models Using Azure Synapse Analytics. Innovative Research Thoughts, 9(1), 508–537. https://doi.org/10.36676/irt.v9.i1.1499 DOI: https://doi.org/10.36676/irt.v9.i1.1499

Krishna Kishor Tirupati, Archit Joshi, Dr S P Singh, Akshun Chhapola, Shalu Jain, & Dr. Alok Gupta. (2024). Leveraging Power BI for Enhanced Data Visualization and Business Intelligence. Universal Research Reports, 10(2), 676–711. https://doi.org/10.36676/urr.v10.i2.1375 DOI: https://doi.org/10.36676/urr.v10.i2.1375

Krishna Kishor Tirupati, Dr S P Singh, Sivaprasad Nadukuru, Shalu Jain, & Raghav Agarwal. (2024). Improving Database Performance with SQL Server Optimization Techniques. Modern Dynamics: Mathematical Progressions, 1(2), 450–494. https://doi.org/10.36676/mdmp.v1.i2.32 DOI: https://doi.org/10.36676/mdmp.v1.i2.32

Tirupati, Krishna Kishor, Shreyas Mahimkar, Sumit Shekhar, Om Goel, Arpit Jain, and Alok Gupta. 2023. "Advanced Techniques for Data Integration and Management Using Azure Logic Apps and ADF." International Journal of Progressive Research in Engineering Management and Science 3(12):460–475. doi: https://www.doi.org/10.58257/IJPREMS32371.

Tirupati, Krishna Kishor, Venkata Ramanaiah Chintha, Vishesh Narendra Pamadi, Prof. Dr. Punit Goel, Vikhyat Gupta, and Er. Aman Shrivastav. 2021. "Cloud Based Predictive Modeling for Business Applications Using Azure." International Research Journal of Modernization in Engineering, Technology and Science 3(11):1575. https://www.doi.org/10.56726/IRJMETS17271.

Vinayak Pillai (2024). Enhancing data analyst decision-making with reinforcement learning: A comparative study of traditional vs AI-driven approaches. World Journal of Advanced Research and Reviews. V 23, I 2, 1958-1975. DOI: https://doi.org/10.30574/wjarr.2024.23.2.2540

M. Prakash and P. Pabitha. 2020. A hybrid node classification mechanism for influential node prediction in Social Networks. Intell. Data Anal. 24, 4 (2020), 847–871. https://doi.org/10.3233/IDA-194724 DOI: https://doi.org/10.3233/IDA-194724