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December 29, 2023· 2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON)
conference-paper

Predicting Cryptocurrency Prices: An Exploration of Blockchain's Impact on Traditional Currency

Abstract

The emergence of the cryptocurrency market has had a significant impact on the finance industry, presenting a dynamic and revolutionary influence that challenges conventional understandings of currency and investing. This study examines the analysis of the dynamic landscape, with a specific emphasis on prominent cryptocurrencies such as Bitcoin and Ethereum. This study examines the use of technical analysis in understanding market sentiment and identifying trends, focusing on key techniques such as candlestick charts and moving averages. Candlestick charts provide a visual depiction of price movements, allowing traders and investors to detect patterns and potential reversals in the market. Moving averages, such as the 20-day moving average (20MA), 50-day moving average (50MA), and 200-day moving average (200MA), provide several timescales that can be utilized to evaluate trends and trend biases. The interaction between these moving averages provides significant insights into the behavior of the market. Significantly, the behavior of Ethereum is noteworthy as it exhibits the 20 Simple Moving Average (SMA) consistently positioned above the 50 SMA subsequent to a substantial market occurrence. This observation highlights the subtle distinctions in the conduct of cryptocurrencies, even when subjected to comparable market circumstances. In the context of a cryptocurrency market characterized by its inherent volatility and frequent fluctuations, the utilization of technical analysis techniques becomes essential for making well-informed decisions. This study provides a comprehensive framework for understanding the intricacies of the cryptocurrency market, presenting significant perspectives for traders and investors aiming to leverage its opportunities while minimizing associated risks.

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