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Ilia Zaznov, Julian Martin Kunkel, Atta Badii and Alfonso Dufour
This paper introduces a novel deep learning approach for intraday stock price direction prediction, motivated by the need for more accurate models to enable profitable algorithmic trading. The key problems addressed are effectively modelling complex limi...
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Gaurang Sonkavde, Deepak Sudhakar Dharrao, Anupkumar M. Bongale, Sarika T. Deokate, Deepak Doreswamy and Subraya Krishna Bhat
The financial sector has greatly impacted the monetary well-being of consumers, traders, and financial institutions. In the current era, artificial intelligence is redefining the limits of the financial markets based on state-of-the-art machine learning ...
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Damianos P. Sakas, Nikolaos T. Giannakopoulos, Markos Margaritis and Nikos Kanellos
Due to the volatility of the markets and the ongoing crises (COVID-19, the Ukrainian war, etc.), investors are keen to exploit any potential chances to make profits. For this reason, the idea of harvesting data from cryptocurrency market users takes an i...
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Jakub Horák and Michaela Jannová
The price of oil is nowadays a hot topic as it affects many areas of the world economy. The price of oil also plays an essential role in how the economic situation is currently developing (such as the COVID-19 pandemic, inflation and others) or the polit...
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Santosh Kumar Sahu, Anil Mokhade and Neeraj Dhanraj Bokde
Forecasting the behavior of the stock market is a classic but difficult topic, one that has attracted the interest of both economists and computer scientists. Over the course of the last couple of decades, researchers have investigated linear models as w...
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Khalid Alkhatib, Huthaifa Khazaleh, Hamzah Ali Alkhazaleh, Anas Ratib Alsoud and Laith Abualigah
Stock price prediction is a significant research field due to its importance in terms of benefits for individuals, corporations, and governments. This research explores the application of the new approach to predict the adjusted closing price of a specif...
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I Made Akira Ivandio Agusta, Aliridho Barakbah, Arna Fariza
Pág. 279 - 293
Stock exchange trading has been utilized to gain profit by constantly buying and selling best-performing stocks in a short term. Deep knowledge, time dedication, and experience are essential for optimizing profit if stock price fluctuations are analyzed ...
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Md. Tanvir Mahtab, A. G. M. Zaman, Montasir Rahman Mahin, Mohammad Nazim Mia, Md. Tanjirul Islam
Pág. 159 - 166
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Hersugondo Hersugondo, Endang Tri Widyarti, Di Asih I Maruddani and Trimono Trimono
In the economic globalization era, mainly since 2010, ASEAN countries? financial and investment sectors have emerged to accelerate economic growth. The driving factor for the financial sector?s contribution is the public?s growing interest in financial a...
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Mst. Shapna Akter, Hossain Shahriar, Reaz Chowdhury and M. R. C. Mahdy
Forecasting the risk factor of the financial frontier markets has always been a very challenging task. Unlike an emerging market, a frontier market has a missing parameter named ?volatility?, which indicates the market?s risk and as a result of the absen...
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