Technical Analysis of Moving Average for Cryptocurrency Profitability on Crypto Ethereum.

Abstract

Moving Average Technical Analysis for Cryptocurrency Profitability on Crypto Ethereum. Thesis for the Business Administration Study Program, Faculty of Social Sciences and Law, Makassar State University. This research aims to find out how to implement moving average technical analysis in identifying market price trends and determining the right timing to carry out sales and purchase transactions more accurately to optimize trading profitability in the crypto market along with analyzing moving average indicators to increase profitability by calculating the accurate level of indicators. moving average on crypto ethereum. To achieve this goal, this research uses a qualitative approach method, this research takes 3 (three) sources who use moving averages in market analysis activities. The data collection procedures used were in-depth interviews and documentation and analysis of interview data. The interview technique was carried out in a structured manner using interview guidelines. The result of this research is that when using a moving average, you must use 3 (three) moving averages at the same time to read price movements, namely MA with different Fibbonaci numbers, namely 34.50 and 200. Based on the results of the researcher's analysis of crypto ethereum, from interviews with sources with time frame of 1 hour, and fibbonaci 34.50, and 200 accurate levels of buy signals, namely around 72.77% and sell signals around 77.58% and this can certainly support a trader's profit.