{"title":"修改技术分析指标,提高投资回报率","authors":"Paweł Oktaba, M. Grzywińska-Rąpca","doi":"10.2478/ceej-2023-0009","DOIUrl":null,"url":null,"abstract":"Abstract Financial markets are seen as one of the most important markets in economic terms. The activities of investors in the financial markets consist in predicting how best to invest the accumulated capital, using all kinds of analyzes and forecasts. In the literature on the subject, apart from fundamental analysis, technical analysis is distinguished. While the first one is to help you choose a specific asset with profitable potential, technical analysis is designed to help the investor find a specific moment that is most suitable for buying or selling. The aim of the article is to demonstrate the potential benefits associated with modifying the default settings of technical analysis indicators on the example of the EUR/USD currency pair using the MetaTrader4 investment platform. Analizing was carried out on the basis of the most popular currency pair in terms of turnover on the Forex market - EUR/USD. The research used an investment strategy based on Parabolic SAR and Relative Strength Index RSI technical analysis indicators, whose indications were verified both in the context of default settings and after the author‘s modification. The results of the conducted research indicate significant differences, depending on the adopted parameters of the above-mentioned indicators.","PeriodicalId":9951,"journal":{"name":"Central European Journal of Economic Modelling and Econometrics","volume":"203 1","pages":"148 - 162"},"PeriodicalIF":0.5000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Modification of technical analysis indicators and increasing the rate of return on investment\",\"authors\":\"Paweł Oktaba, M. Grzywińska-Rąpca\",\"doi\":\"10.2478/ceej-2023-0009\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Financial markets are seen as one of the most important markets in economic terms. The activities of investors in the financial markets consist in predicting how best to invest the accumulated capital, using all kinds of analyzes and forecasts. In the literature on the subject, apart from fundamental analysis, technical analysis is distinguished. While the first one is to help you choose a specific asset with profitable potential, technical analysis is designed to help the investor find a specific moment that is most suitable for buying or selling. The aim of the article is to demonstrate the potential benefits associated with modifying the default settings of technical analysis indicators on the example of the EUR/USD currency pair using the MetaTrader4 investment platform. Analizing was carried out on the basis of the most popular currency pair in terms of turnover on the Forex market - EUR/USD. The research used an investment strategy based on Parabolic SAR and Relative Strength Index RSI technical analysis indicators, whose indications were verified both in the context of default settings and after the author‘s modification. The results of the conducted research indicate significant differences, depending on the adopted parameters of the above-mentioned indicators.\",\"PeriodicalId\":9951,\"journal\":{\"name\":\"Central European Journal of Economic Modelling and Econometrics\",\"volume\":\"203 1\",\"pages\":\"148 - 162\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Central European Journal of Economic Modelling and Econometrics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2478/ceej-2023-0009\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Central European Journal of Economic Modelling and Econometrics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/ceej-2023-0009","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ECONOMICS","Score":null,"Total":0}
Modification of technical analysis indicators and increasing the rate of return on investment
Abstract Financial markets are seen as one of the most important markets in economic terms. The activities of investors in the financial markets consist in predicting how best to invest the accumulated capital, using all kinds of analyzes and forecasts. In the literature on the subject, apart from fundamental analysis, technical analysis is distinguished. While the first one is to help you choose a specific asset with profitable potential, technical analysis is designed to help the investor find a specific moment that is most suitable for buying or selling. The aim of the article is to demonstrate the potential benefits associated with modifying the default settings of technical analysis indicators on the example of the EUR/USD currency pair using the MetaTrader4 investment platform. Analizing was carried out on the basis of the most popular currency pair in terms of turnover on the Forex market - EUR/USD. The research used an investment strategy based on Parabolic SAR and Relative Strength Index RSI technical analysis indicators, whose indications were verified both in the context of default settings and after the author‘s modification. The results of the conducted research indicate significant differences, depending on the adopted parameters of the above-mentioned indicators.
期刊介绍:
The Central European Journal of Economic Modelling and Econometrics (CEJEME) is a quarterly international journal. It aims to publish articles focusing on mathematical or statistical models in economic sciences. Papers covering the application of existing econometric techniques to a wide variety of problems in economics, in particular in macroeconomics and finance are welcome. Advanced empirical studies devoted to modelling and forecasting of Central and Eastern European economies are of particular interest. Any rigorous methods of statistical inference can be used and articles representing Bayesian econometrics are decidedly within the range of the Journal''s interests.