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Cryptocurrency trading: a comprehensive survey
In recent years, the tendency of the number of financial institutions to include
cryptocurrencies in their portfolios has accelerated. Cryptocurrencies are the first pure digital …
cryptocurrencies in their portfolios has accelerated. Cryptocurrencies are the first pure digital …
A comprehensive study of artificial intelligence and cybersecurity on bitcoin, crypto currency and banking system
T Choithani, A Chowdhury, S Patel, P Patel… - Annals of Data …, 2024 - Springer
In recent years cryptocurrencies are emerging as a prime digital currency as an important
asset and financial system is also emerging as an important aspect. To reduce the risk of …
asset and financial system is also emerging as an important aspect. To reduce the risk of …
Digital currency forecasting with chaotic meta-heuristic bio-inspired signal processing techniques
The price forecasting of the digital currencies in the financial market is of great importance,
especially after the recent global economic crises. Due to the nonlinear dynamics, which is …
especially after the recent global economic crises. Due to the nonlinear dynamics, which is …
[HTML][HTML] Forecasting Bitcoin price direction with random forests: How important are interest rates, inflation, and market volatility?
Bitcoin has grown in popularity and has now attracted the attention of individual and
institutional investors. Accurate Bitcoin price direction forecasts are important for determining …
institutional investors. Accurate Bitcoin price direction forecasts are important for determining …
Forecasting and trading cryptocurrencies with machine learning under changing market conditions
This study examines the predictability of three major cryptocurrencies—bitcoin, ethereum,
and litecoin—and the profitability of trading strategies devised upon machine learning …
and litecoin—and the profitability of trading strategies devised upon machine learning …
[HTML][HTML] Performance evaluation of deep learning and boosted trees for cryptocurrency closing price prediction
The emergence of cryptocurrencies has drawn significant investment capital in recent years
with an exponential increase in market capitalization and trade volume. However, the …
with an exponential increase in market capitalization and trade volume. However, the …
LSTM-ReGAT: A network-centric approach for cryptocurrency price trend prediction
C Zhong, W Du, W Xu, Q Huang, Y Zhao… - Decision Support …, 2023 - Elsevier
Predicting price trends of cryptocurrencies is a challenging task due to the highly speculative
cryptocurrency market. Prior studies mainly investigate predictors such as historical trading …
cryptocurrency market. Prior studies mainly investigate predictors such as historical trading …
Financial time series forecasting with the deep learning ensemble model
With the continuous development of financial markets worldwide to tackle rapid changes
such as climate change and global warming, there has been increasing recognition of the …
such as climate change and global warming, there has been increasing recognition of the …
Cryptocurrency price prediction using traditional statistical and machine‐learning techniques: A survey
Cryptocurrencies are decentralized electronic counterparts of government‐issued money.
The first and best‐known cryptocurrency example is bitcoin. Cryptocurrencies are used to …
The first and best‐known cryptocurrency example is bitcoin. Cryptocurrencies are used to …
Convolution on neural networks for high-frequency trend prediction of cryptocurrency exchange rates using technical indicators
This study explores the suitability of neural networks with a convolutional component as an
alternative to traditional multilayer perceptrons in the domain of trend classification of …
alternative to traditional multilayer perceptrons in the domain of trend classification of …