A cryptocurrency is a network-based digital exchange medium, where the records are secured using strong cryptographic algorithms such as Secure Hash Algorithm 2 (SHA-2) and Message Digest 5 (MD5). It uses blockchain technology to make the transactions secure, transparent, traceable, and immutable. Due to these properties, the cryptocurrencies have gained popularity in almost all the sectors especially in financial sectors. Though, cryptocurrencies are getting recognition form the approval bodies, but still, the uncertainty and dynamism in their prices risk the investments substantially. Cryptocurrency price prediction has become a trending research topic globally. Many machine learning and deep learning algorithms such as Gated Recurrent Unit (GRU), Neural Networks (NN), and Long short-term memory (LSTM) have been used by the researchers to predict and analyze the factors affecting the cryptocurrency prices. In this paper, a LSTM and GRU-based hybrid cryptocurrency prediction scheme is proposed, which focuses on only two cryptocurrencies, namely Litecoin and Monero. The results depict that the proposed scheme accurately predicts the prices with high accuracy, revealing that the scheme can be applicable in various cryptocurrencies price predictions.

加密货币是一种基于网络的数字交换媒体，其中的记录使用强大的加密算法（例如安全哈希算法2（SHA-2）和消息摘要5（MD5））进行保护。它使用区块链技术使交易安全，透明，可追溯和不可变。由于这些特性，加密货币在几乎所有行业中都得到了普及，特别是在金融领域。虽然，加密货币正在获得审批机构的认可，但是，价格的不确定性和动态性仍然给投资带来巨大风险。加密货币价格预测已成为全球趋势研究的话题。许多机器学习和深度学习算法，例如门控循环单元（GRU），神经网络（NN），研究人员已使用“长短期记忆”（LSTM）和“长短期记忆”（LSTM）来预测和分析影响加密货币价格的因素。本文提出了一种基于LSTM和GRU的混合加密货币预测方案，该方案仅关注两种加密货币，即Litecoin和Monero。结果表明，该方案能够准确，准确地预测价格，表明该方案可应用于各种加密货币价格预测。