Risk measurement in Bitcoin market by fusing LSTM with the joint-regression-combined
forecasting model | Emerald Insight Books and journals Case studies Expert Briefings Open …

Since the advent of Bitcoin, the cryptocurrency landscape has seen the emergence of
several virtual currencies that have quickly established their presence in the global market …

Bitcoin has recently been greatly regarded as an investment asset. It is incredibly
unpredictable despite being the biggest digital currency. Therefore, accurate forecasting is …

This study presents an innovative approach for predicting cryptocurrency time series,
specifically focusing on Bitcoin, Ethereum, and Litecoin. The methodology integrates the use …

This research produces a deep reinforcement learning model for algorithmic trading of
cryptocurrencies. The model aims to help traders earn greater profits than using traditional …

This paper provides a computationally efficient and novel four-step methodological
approach for predicting volatility estimators derived from bitcoin prices. In the first step, open …

The most popular cryptocurrency used worldwide is bitcoin. Many everyday folks and
investors are now investing in bitcoin. However, it becomes quite difficult to evaluate or …

In this research we make the first attempt to construct automated Bitcoin trading systems that
are based on classical candlesticks patterns. We than tried to alter the classical formations …

Cryptocurrencies are highly volatile investment assets and are difficult to predict. In this
study, various cryptocurrency data are used as features to predict the log-return price of …

We propose a robust algorithm for constructing first return maps of dynamical systems from
time series without the need for embedding. A first return map is typically constructed using a …