Analysing Crypto Trends: Unveiling Ethereum and Bitcoin Price Forecasts Through Analytics-Driven Weighted Moving Averages
- Title
- Analysing Crypto Trends: Unveiling Ethereum and Bitcoin Price Forecasts Through Analytics-Driven Weighted Moving Averages
- Creator
- Dhaku C.R.; Shivarudrasetty D.; Arumugam S.K.; Uma V.R.
- Description
- This research meticulously analyses the performance dynamics of two paramount cryptocurrencies, Bitcoin and Ethereum, over 2,682 observations. Preliminary findings indicate a near alignment in the mean returns of both assets, with Ethereum marginally outperforming Bitcoin. Interestingly, Ethereums superior returns are accompanied by heightened volatility, underlined by its more significant standard deviation. Both cryptocurrencies manifest negative skewness, hinting at a proclivity for negative returns, with Bitcoin showing a sharper skew. Their pronounced kurtosis values attest to the potential for extreme price swings. Regarding forecasting efficacy, the Weighted Moving Average (WMA) method emerges as superior for both assets, yielding the most accurate predictions. At the same time, the Exponential Moving Average (EMA) demonstrates the highest forecast errors. Further, the Relative Strength Index (RSI) evaluation suggests Ethereum may be oversold, alluding to potential investment opportunities. In contrast, Bitcoin, with its mid-range RSI, resides in a neutral zone devoid of clear market signals. The findings shed light on the nuanced performance and forecasting landscape of these leading cryptocurrencies, offering pivotal insights for potential investors. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
- Source
- Lecture Notes in Networks and Systems, Vol-1048 LNNS, pp. 450-457.
- Date
- 2024-01-01
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Coverage
- Dhaku C.R., School of Commerce, Finance and Accountancy, Christ University, Bengaluru, India; Shivarudrasetty D., School of Commerce, Finance and Accountancy, Christ University, Bengaluru, India, Department of Commerce and Management, MLA Academy of Higher Learning, Bengaluru, India; Arumugam S.K., Department of Professional Studies, Christ University, Bengaluru, India; Uma V.R., School of Commerce, Finance and Accountancy, Christ University, Bengaluru, India
- Rights
- Restricted Access
- Relation
- ISSN: 23673370; ISBN: 978-303164649-2
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Dhaku C.R.; Shivarudrasetty D.; Arumugam S.K.; Uma V.R., “Analysing Crypto Trends: Unveiling Ethereum and Bitcoin Price Forecasts Through Analytics-Driven Weighted Moving Averages,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 28, 2025, https://archives.christuniversity.in/items/show/19326.