Skip to main content

2025 | OriginalPaper | Buchkapitel

Tradewise—an Innovative Ai-Powered Approach to Stock Market Forecasting

verfasst von : Kuldeep Vayadande, Pranav P. Patil, Pranav C. Patil, Raj Patil, Sahil Patil, Ritesh Patil

Erschienen in: Advances in Communication, Devices and Networking

Verlag: Springer Nature Singapore

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Stock market predictions are been made with the advent of technological wonders such as worldwide digitalization, redesigning the traditional methodology of trade. Stock trading has evolved into a major area of investing for many financial investors due to the continuous rise in market capitalization. Many analysts and academics have created methods and systems that forecast stock price changes and aid investors in making wise choices. Researchers can forecast the market using unconventional textual data from social platforms thanks to advanced trading models. Both researchers looking for insights concealed in stock market data, and others looking to make money trading stocks have shown a keen interest in forecasting market movements. It is highly challenging to develop a system that can accurately anticipate the future direction of the stock market due to the tremendously nonlinear character of the stock market data but we have developed a website named TradeWise which is an innovative and autonomous website designed to revolutionize financial markets. Utilizing advanced machine learning and artificial intelligence algorithms, it analyses vast datasets, market trends, and real-time indicators to make informed trading decisions.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

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!

Literatur
1.
Zurück zum Zitat Vayadande K, Shaikh R, Narnaware T, Rothe S, Bhavar N, Deshmukh S (2022) Designing web crawler based on multi-threaded approach for authentication of web links on internet. In: 2022 6th International conference on electronics, communication and aerospace technology, Coimbatore, India, pp 1469–1473. https://doi.org/10.1109/ICECA55336.2022.10009614 Vayadande K, Shaikh R, Narnaware T, Rothe S, Bhavar N, Deshmukh S (2022) Designing web crawler based on multi-threaded approach for authentication of web links on internet. In: 2022 6th International conference on electronics, communication and aerospace technology, Coimbatore, India, pp 1469–1473. https://​doi.​org/​10.​1109/​ICECA55336.​2022.​10009614
2.
3.
4.
Zurück zum Zitat Vayadande K, Shaikh U, Ner R, Patil S, Nimase O, Shinde T (2023) Mood detection and emoji classification using tokenization and convolutional neural network. In: 2023 7th International conference on intelligent computing and control systems (ICICCS), Madurai, India, pp 653–663. https://doi.org/10.1109/ICICCS56967.2023.10142472 Vayadande K, Shaikh U, Ner R, Patil S, Nimase O, Shinde T (2023) Mood detection and emoji classification using tokenization and convolutional neural network. In: 2023 7th International conference on intelligent computing and control systems (ICICCS), Madurai, India, pp 653–663. https://​doi.​org/​10.​1109/​ICICCS56967.​2023.​10142472
5.
Zurück zum Zitat Vayadande K, Raut A, Bhonsle R, Pungliya V, Purohit A, Ingale V (2023) Secured ticketless booking system to monuments and museums using cryptography. In: Rajakumar G, Du KL, Rocha Á (eds) Intelligent communication technologies and virtual mobile networks (ICICV 2023). Lecture notes on data engineering and communications technologies, vol 171. Springer, Singapore. https://doi.org/10.1007/978-981-99-1767-9_28 Vayadande K, Raut A, Bhonsle R, Pungliya V, Purohit A, Ingale V (2023) Secured ticketless booking system to monuments and museums using cryptography. In: Rajakumar G, Du KL, Rocha Á (eds) Intelligent communication technologies and virtual mobile networks (ICICV 2023). Lecture notes on data engineering and communications technologies, vol 171. Springer, Singapore. https://​doi.​org/​10.​1007/​978-981-99-1767-9_​28
7.
Zurück zum Zitat Mathur M, Mhadalekar S, Mhatre S, Mane V (2021) Algorithmic trading bot Mathur M, Mhadalekar S, Mhatre S, Mane V (2021) Algorithmic trading bot
8.
Zurück zum Zitat Kalbhor V, Welinkar S, Agarwal R, Chaube N (2022) advanced trading bot using deep learning Kalbhor V, Welinkar S, Agarwal R, Chaube N (2022) advanced trading bot using deep learning
9.
Zurück zum Zitat Bali A, Madan A, Upadhyay A, Sah P, Nehra V (2021) Development of trading bot for stock prediction using evolution strategy Bali A, Madan A, Upadhyay A, Sah P, Nehra V (2021) Development of trading bot for stock prediction using evolution strategy
Metadaten
Titel
Tradewise—an Innovative Ai-Powered Approach to Stock Market Forecasting
verfasst von
Kuldeep Vayadande
Pranav P. Patil
Pranav C. Patil
Raj Patil
Sahil Patil
Ritesh Patil
Copyright-Jahr
2025
Verlag
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-97-6465-5_24