Deep reinforcement learning (DRL) has achieved significant results in many machine
learning (ML) benchmarks. In this short survey, we provide an overview of DRL applied to …

With over 42 billion USD market capitalization (October 2020), Ethereum is the largest public
blockchain that supports smart contracts. Recent works have modeled transactions, tokens …

Ethereum, currently the most actively-used and the second-largest blockchain platform,
consists of a heterogeneous ecosystem, cohabited by human users, smart contracts …

Recently, reinforcement learning has been applied to cryptocurrencies to make profitable
trades. However, cryptocurrency trading is a very challenging task due to the volatility of the …

The structural changes in the public communication space through the advent of the Internet
and the further development of online commerce culminate today with the explosion of …

Most textual analysis-based trading approaches in cryptocurrency (crypto) involve lexical,
rule-based methods for extracting news sentiments. Furthermore, language models (LMs) …

To address the need for reporting and disclosure of cryptocurrency holdings in compliance
with the FASB guidance for the use of fair value measurements for cryptocurrency (FASB …

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 …

This study performs analysis of Predictive statements, Hope speech, and Regret Detection
behaviors within cryptocurrency-related discussions, leveraging advanced natural language …

The rapid growth of the cryptocurrency market has led to an increasing interest in the
subject. Cryptocurrency is now recognized as an asset, and laws and financial regulations …