Forecasting System Approach for Stock Trading with Relative Strength Index and Moving Average Indicator

Hari, Yulius and Dewi, Lily Puspa (2018) Forecasting System Approach for Stock Trading with Relative Strength Index and Moving Average Indicator. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10 (2-3). pp. 25-29. ISSN e-ISSN: 2289-8131

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Official URL: https://jtec.utem.edu.my/jtec/article/view/4188

Abstract

Stock is one of the investment instruments on the capital markets which provide high returns. Furthermore, Indonesian government also supports to raise awareness oninvesting in stock market through the national movement “to love stock market”. Apart from that, a lot of people want to invest their money in stocks hoping to get a big returnin instant, howevermany of themsuffered losses, and the intention to gaintheirmoney is not achieved. Lack of knowledge such as “high returnmeanshigh risk”, is often forgottenbycommunity. Therefore in order to increase the interestof the community to develop their money in stocks, ability to analyze on stock transactionsis deeply needed. This can be achieved by using indicators as tools for analyzing the stock transaction. Departing from the elaborated issue,this research is expected to help the community in analyzing the stock,to know when the time to buy and when the time to sell. This forecasting systemwill provide anadvice to stock investorsand stock tradersto pay attention to indicators:relative strength index and moving average. In conclusion the result of this research can help the investor to determine the righttime to buy and sell. However, this system cannot predict veryexact time and cannot became a standard for profitability, because the volatility of stock price.

Item Type: Article
Uncontrolled Keywords: Decision Support System; Forecasting; Moving Average; Relative Strength Index
Subjects: T Technology > T Technology (General) > T1-995 Technology (General)
Divisions: Artikel Ilmiah
Depositing User: Staff Perpustakaan Uwika
Date Deposited: 21 Feb 2022 04:31
Last Modified: 09 Jun 2023 04:19
URI: http://repository.widyakartika.ac.id/id/eprint/1366

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