比特币和以太坊的价格预测——一种机器学习方法

S. B, Tamil Iniyal T, Thasmiya J, Taariq Ziyaadh J, Sri Ranjani, Teju Thomas S
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引用次数: 1

摘要

印度正迅速向各个方面的货币数字化迈进。加密货币在印度和世界各地的投资者中广泛发展,用于购买、出售和交易等金融活动。根据联合国贸易和发展会议于2021年提交的报告,2021年,7.3%的印度人拥有加密货币。在过去的两年,即2020年和2021年,由于股市运行不佳,全球货币的价值一直在下降。因此,投资者发现很难应对经济问题。这反过来又导致了人们对数字货币的兴趣重新燃起。我们的主要目标是实现高效的机器学习和基于深度学习的模型,特别是卷积神经网络(CNN)、长短期记忆(LSTM)和门控循环单元(GRU),以处理比特币和以太坊的价格波动,并产生高精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Price Prediction of Bitcoin and Ethereum - A Machine Learning Approach
India is rapidly moving towards the digitization of money in all aspects. Cryptocurrency has grown widely in India and around the world among investors for financial activities like buying, selling, and trading. According to the report submitted in 2021 by the United Nations Conference on Trade and Development, 7.3% of Indians owned cryptocurrency in 2021. In the past two years, i.e., 2020 and 2021, the value of global currencies have been falling due to the poor run of stock markets. So the investors found it very hard to cope with the economical issues. This in turn has led to a renewal of interest in digital currency. Our main target is to implement the efficient machine learning and deep learning- based models specifically Convolutional Neural Network (CNN), long short term memory(LSTM) and Gated Recurrent Units (GRU) to handle the price volatility of bitcoin and ethereum and to produce high accuracy.
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