Elucidating Cryptocurrency with Trading Dashboard

IF 1.3 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Masitah Ghazali, Alison Kuan Rong Wong
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引用次数: 0

Abstract

With the rise of interest in cryptocurrency in the recent decade, an ocean of financial news data has surfaced in articles, tweets, and even Reddit posts. Due to the sheer volume, it is not practical for the casual trader to read through all these news sources manually. However, only going through one or two sources alone may result in receiving biased information, or no useful information at all. With the current rise in cryptocurrency, accurately predicting market trends becomes highly beneficial to the user, providing a major opportunity for lower-income households to have a higher chance of profiting and living a substantially more comfortable lifestyle. In this study, a developer's API key was obtained for three news sources to scrape financial news from. Then, the TensorFlow Keras model and Gensim model's doc2vec NLP tool were utilized to process the data scraped online. The data is then saved as a .model and .sav file, and a website was constructed using the Flask framework. The website is now deployed and is available for all users. However, because the data obtained was too small to be utilized well, only a weak linear model that could give us a correlation between price and news sentiment was able to be constructed. The dashboard passed its functional and UAT tests with 100%, and via the usability test with SUS, the dashboard is considered to be easy to use. In all, the website summarizes the main details and sentiment of the coins and will benefit users who are just being introduced to the cryptocurrency space.
用交易仪表板阐明加密货币
近十年来,随着人们对加密货币的兴趣日益浓厚,大量的金融新闻数据出现在文章、推特甚至Reddit帖子中。由于数量庞大,对于临时交易者来说,手动阅读所有这些新闻来源是不实际的。然而,仅仅通过一个或两个来源可能会导致接收到有偏差的信息,或者根本没有有用的信息。随着当前加密货币的兴起,准确预测市场趋势对用户非常有利,为低收入家庭提供了一个重要的机会,使他们有更高的机会获利,并过上更舒适的生活方式。在本研究中,获得了三个新闻来源的开发者API密钥,用于抓取财经新闻。然后,利用TensorFlow Keras模型和Gensim模型的doc2vec NLP工具对在线抓取的数据进行处理。然后将数据保存为.model和.sav文件,然后使用Flask框架构建一个网站。该网站现已部署完毕,可供所有用户使用。然而,由于获得的数据太少,无法很好地利用,因此只能构建一个弱线性模型,可以给我们一个价格与新闻情绪之间的相关性。仪表板100%通过了功能和UAT测试,通过SUS的可用性测试,仪表板被认为是易于使用的。总而言之,该网站总结了硬币的主要细节和情绪,并将使刚刚进入加密货币领域的用户受益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.20
自引率
20.00%
发文量
0
审稿时长
4.3 months
期刊介绍: The primary aim of the International Journal of Innovative Computing, Information and Control (IJICIC) is to publish high-quality papers of new developments and trends, novel techniques and approaches, innovative methodologies and technologies on the theory and applications of intelligent systems, information and control. The IJICIC is a peer-reviewed English language journal and is published bimonthly
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