Skip to main content
Top

2024 | OriginalPaper | Chapter

A LSTM Based Intelligent Framework for Financial Stock Prediction

Authors : Oindrila Ajha, Souryadipta Das, Tiyasha Dutta, Soham Das, Sushruta Mishra, Laith Abualigah

Published in: Proceedings of Third International Conference on Computing and Communication Networks

Publisher: Springer Nature Singapore

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Stock analysis is a method used by traders and financial experts to evaluate the securities market and make informed decisions about buying and selling shares. It involves conducting extensive research to assess the performance and quality of a stock or an industry before investing. Stock analysis can take different forms, but traders usually use two main categories: technical and fundamental analysis. Technical analysis involves examining documented value outlines and researching previous market structures to predict future advances. On the other hand, fundamental analysis looks at data from the organization and its macroeconomic situation, such as financial history and revenue streams, to assess prospective gains from exchanges. The ultimate goal of stock analysis is to choose the best times to place trades and make the appropriate buying and selling decisions. Traders may specialize in one type of analysis or use a combination of both. Regardless of the approach, conducting extensive research is crucial to ensure wise investments that produce profit and avoid wasting hard-earned money.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
11.
go back to reference Mishra, N., Mishra, S., Tripathy, H. K.: Rice yield estimation using deep learning. In: Innovations in Intelligent Computing and Communication: First International Conference, ICIICC 2022, Bhubaneswar, Odisha, India, December 16–17, 2022, Proceedings, pp. 379–388. Springer International Publishing, Cham (2023, January) Mishra, N., Mishra, S., Tripathy, H. K.: Rice yield estimation using deep learning. In: Innovations in Intelligent Computing and Communication: First International Conference, ICIICC 2022, Bhubaneswar, Odisha, India, December 16–17, 2022, Proceedings, pp. 379–388. Springer International Publishing, Cham (2023, January)
12.
go back to reference Chakraborty, S., Mishra, S., Tripathy, H.K.: COVID-19 outbreak estimation approach using hybrid time series modelling. In: Innovations in Intelligent Computing and Communication: First International Conference, ICIICC 2022, Bhubaneswar, Odisha, India, December 16–17, 2022, Proceedings, pp. 249–260. Springer International Publishing, Cham (2023, January) Chakraborty, S., Mishra, S., Tripathy, H.K.: COVID-19 outbreak estimation approach using hybrid time series modelling. In: Innovations in Intelligent Computing and Communication: First International Conference, ICIICC 2022, Bhubaneswar, Odisha, India, December 16–17, 2022, Proceedings, pp. 249–260. Springer International Publishing, Cham (2023, January)
13.
go back to reference Verma, S., Mishra, S.: An exploration analysis of social media security. In: Predictive Data Security using AI: Insights and Issues of Blockchain, IoT, and DevOps, pp. 25–44. Springer Nature, Singapore (2022) Verma, S., Mishra, S.: An exploration analysis of social media security. In: Predictive Data Security using AI: Insights and Issues of Blockchain, IoT, and DevOps, pp. 25–44. Springer Nature, Singapore (2022)
14.
go back to reference Singh, P., Mishra, S.: A comprehensive study of security aspects in blockchain. In: Predictive Data Security using AI: Insights and Issues of Blockchain, IoT, and DevOps, pp. 1–24. Springer Nature, Singapore (2022) Singh, P., Mishra, S.: A comprehensive study of security aspects in blockchain. In: Predictive Data Security using AI: Insights and Issues of Blockchain, IoT, and DevOps, pp. 1–24. Springer Nature, Singapore (2022)
15.
go back to reference Swain, T., Mishra, S.: Evolution of machine learning algorithms for enhancement of self-driving vehicles security. In: 2022 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC), pp. 1–5. IEEE (2022, November) Swain, T., Mishra, S.: Evolution of machine learning algorithms for enhancement of self-driving vehicles security. In: 2022 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC), pp. 1–5. IEEE (2022, November)
16.
go back to reference Sahoo, S., Mishra, S.: A Comparative analysis of PGGAN with other data augmentation technique for brain tumor classification. In: 2022 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC), pp. 1–7. IEEE (2022, November) Sahoo, S., Mishra, S.: A Comparative analysis of PGGAN with other data augmentation technique for brain tumor classification. In: 2022 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC), pp. 1–7. IEEE (2022, November)
17.
go back to reference Mohapatra, S.K., Mishra, S., Tripathy, H.K.: Energy consumption prediction in electrical appliances of commercial buildings using LSTM-GRU model. In: 2022 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC), pp. 1–5. IEEE (2022, November) Mohapatra, S.K., Mishra, S., Tripathy, H.K.: Energy consumption prediction in electrical appliances of commercial buildings using LSTM-GRU model. In: 2022 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC), pp. 1–5. IEEE (2022, November)
18.
go back to reference Tripathy, H.K., Mishra, S.: A Succinct Analytical Study of the Usability of Encryption Methods in Healthcare Data Security. In: Next Generation Healthcare Informatics, pp. 105–120. Springer Nature, Singapore (2022) Tripathy, H.K., Mishra, S.: A Succinct Analytical Study of the Usability of Encryption Methods in Healthcare Data Security. In: Next Generation Healthcare Informatics, pp. 105–120. Springer Nature, Singapore (2022)
19.
go back to reference Adrija, M., Yash, A., Sushruta, M.: 8 Pragmatic study of IoT in healthcare security with an explainable AI perspective. In: Explainable Artificial Intelligence for Biomedical Applications, pp.145–166. River Publishers (2023) Adrija, M., Yash, A., Sushruta, M.: 8 Pragmatic study of IoT in healthcare security with an explainable AI perspective. In: Explainable Artificial Intelligence for Biomedical Applications, pp.145–166. River Publishers (2023)
20.
go back to reference Bhavya, M., Pranshu, S., Sushruta, M., Sibanjan, D..: 17 comparative analysis of breast cancer diagnosis driven by the smart IoT-based approach. In: Explainable Artificial Intelligence for Biomedical Applications, pp. 353–374. River Publishers (2023) Bhavya, M., Pranshu, S., Sushruta, M., Sibanjan, D..: 17 comparative analysis of breast cancer diagnosis driven by the smart IoT-based approach. In: Explainable Artificial Intelligence for Biomedical Applications, pp. 353–374. River Publishers (2023)
Metadata
Title
A LSTM Based Intelligent Framework for Financial Stock Prediction
Authors
Oindrila Ajha
Souryadipta Das
Tiyasha Dutta
Soham Das
Sushruta Mishra
Laith Abualigah
Copyright Year
2024
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-97-0892-5_23