Short-term cryptocurrency price forecasting based on news headline analysis by Vladimir Dikovitsky

Subjects: “…cryptocurrency…”
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State and trends of regulation of crypto assets and cryptocurrency exchanges by M. B. Kitinov

“…The author emphasises the need for interaction between industry representatives and regulators to manage the risks associated with cryptocurrencies, including prevention of market manipulation and fraud. …”
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Machine Learning Algorithms in Predicting Prices in Volatile Cryptocurrency Markets by Miguel Jiménez-Carrión, Gustavo A. Flores-Fernandez

“…This study aims to develop a predictive model for cryptocurrency prices in highly volatile markets. The methodology includes an exploratory data analysis, followed by designing and implementing machine learning (ML) algorithms, focusing on the Long Short-Term Memory (LSTM) neural network. …”
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Trading Strategy of the Cryptocurrency Market Based on Deep Q-Learning Agents by Chester S. J. Huang, Yu-Sheng Su

“…Therefore, the present study proposes a method based on deep Q-learning for identifying the optimal trading strategy for multiple cryptocurrencies. The proposed method uses the same training data to train multiple agents repeatedly so that each agent has accumulated learning experiences to improve its prediction of the future market trend and to determine the optimal action. …”
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Cryptocurrency Forecasting Using Deep Learning Models: A Comparative Analysis by Rachid Bourday, Issam Aatouchi, Mounir Ait Kerroum, Ali Zaaouat

“…Our findings suggest that the use of advanced deep learning techniques effectively manages the complexities of the cryptocurrency market, offering significant improvements over traditional methods and guiding investors in the cryptocurrency markets.   …”
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Deep Learning-Based Cryptocurrency Price Prediction Scheme With Inter-Dependent Relations by Sudeep Tanwar, Nisarg P. Patel, Smit N. Patel, Jil R. Patel, Gulshan Sharma, Innocent E. Davidson

“…The most popular application of this technology is cryptocurrencies, which showed a massive rise in their popularity and market capitalization in recent years. …”
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A swarm-optimization based fusion model of sentiment analysis for cryptocurrency price prediction by Dimple Tiwari, Bhoopesh Singh Bhati, Bharti Nagpal, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufiene

“…The objective of the proposed model is to introduce a benchmark sentiment analysis model for predicting cryptocurrency prices, which will be helpful for other societal sentiment predictions. …”
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Peculiarities of recording electronic evidence in criminal proceedings regarding crimes committed in Ukraine using cryptocurrencies by Vasyl Kozii, Inha heorhiivna Kalancha, Hanna Vlasova, Andriy Orlean

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Development of a cryptocurrency price prediction model: leveraging GRU and LSTM for Bitcoin, Litecoin and Ethereum by Ramneet Kaur, Mudita Uppal, Deepali Gupta, Sapna Juneja, Syed Yasser Arafat, Junaid Rashid, Jungeun Kim, Roobaea Alroobaea

“…Cryptocurrency represents a form of asset that has arisen from the progress of financial technology, presenting significant prospects for scholarly investigations. …”
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Sentiment Analysis and Emotion Detection on Cryptocurrency Related Tweets Using Ensemble LSTM-GRU Model by Naila Aslam, Furqan Rustam, Ernesto Lee, Patrick Bernard Washington, Imran Ashraf

“…The cryptocurrency market has been developed at an unprecedented speed over the past few years. …”
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Do cryptocurrencies and crude oil influence each other? Evidence from wavelet-based quantile-in-quantile approach by Seyram Pearl Kumah, Jones Odei-Mensah

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CRYPTOCURRENCY PRICE PREDICTION: A HYBRID LONG SHORT-TERM MEMORY MODEL WITH GENERALIZED AUTOREGRESSIVE CONDITIONAL HETEROSCEDASTICITY by Indah Manfaati Nur, Rifqi Nugrahanto, Fatkhurokhman Fauzi

“…Cryptocurrency is a virtual payment instrument currently popular as an investment alternative. …”
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Predicting Block Delays in Bitcoin Blockchain via Bayesian and Non-Bayesian Logistic Regression by Phumzile T. Mgcima, Wilson Tsakane Mongwe, Peter O. Olukanmi

“…Blockchain has found many uses beyond cryptocurrency trading. However, this technology faces the challenge of low transactions per second (TPS), which hinders it from competing at scale with other established digital payment technologies. …”
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Aspects of Developing A Methodology for Managing Digital Financial Assets by A. Yu. Proskuryakov

“…New blockchain technologies and the emergence of Chat GPT (generative pre-trained transformer) pose new challenges to society, which hopes to utilize such solutions, including for economic tasks. …”
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Application Deep Learning to Predict Crypto Currency Prices and their Relationship to Market Adequacy (Applied Research Bitcoin as an Example) by M. Kh. Abdalhammed, A. M. Ghazal, H. M. Ibrahim, A. Kh. Ahmed

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Sentiment-Driven Bitcoin Price Range Forecasting: Enhancing CART Decision Trees With High-Dimensional Indicators and Twitter Dynamics by Lei Shang

“…The results demonstrate that the enhanced model, incorporating sentiment analysis, improves the average accuracy from 0.56 in the baseline model—trained solely on 124 technical indicators—to 0.62, with win rates increasing significantly by up to 45%. …”
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NEW FINANCIAL TECHNOLOGIES CHANGE OUR WORLD by V. V. Maslennikov, M. A. Fedotova, A. N. Sorokin

“…The main Fintech components have been considered in this research: blockchain, cryptocurrency , digital money, neobanks and cyber security. …”
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Predicting Bitcoin Prices Using Time Series Chaotic Neural Oscillatory Networks (TSCNON) in Quantum Finance by Lin Shiyu

“…The structural design of the TSCNON model and its training algorithm are presented. The application framework of TSCNON in Bitcoin price prediction is demonstrated. …”
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LSTM-conformal forecasting-based bitcoin forecasting method for enhancing reliability. by Xiangyue Zhang, Yuyun Kang, Chao Li, Wenjing Wang, Keqing Wang

“…Cryptocurrency is a new type of asset that has emerged with the advancement of financial technology, creating significant opportunities for research. bitcoin is the most valuable cryptocurrency and holds significant research value. …”
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FEATURES OF USING VBA IN TEACHING ACTUARIAL MATHEMATICS by Volodymyr Zubchenko, Rostyslav Yamnenko

“…This demand is being driven by new fintech trends in banking and insurance, such as smart payments, real-time credit risk assessment, automated reputation management, customer analytics, fraud detection and cryptocurrency trading. As a result, the training of future actuaries must meet high standards to ensure they are equipped to handle the sophisticated mathematical calculations required by insurance companies and other financial institutions. …”
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