修改技术分析指标,提高投资回报率

IF 0.5 Q4 ECONOMICS
Paweł Oktaba, M. Grzywińska-Rąpca
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引用次数: 2

摘要

金融市场被视为最重要的经济市场之一。投资者在金融市场上的活动是利用各种分析和预测,预测如何最好地投资积累的资本。在有关该主题的文献中,除了基本面分析外,还区分了技术分析。第一个是帮助你选择有盈利潜力的特定资产,而技术分析的目的是帮助投资者找到最适合买入或卖出的特定时刻。本文的目的是展示使用MetaTrader4投资平台修改欧元/美元货币对的技术分析指标默认设置的潜在好处。分析是基于外汇市场上最受欢迎的货币对——欧元/美元的成交量。本研究采用了基于抛物线SAR和相对强弱指数RSI技术分析指标的投资策略,并在默认设置和笔者修改后对其指标进行了验证。根据上述指标所采用的参数不同,所进行的研究结果存在显著差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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来源期刊
CiteScore
0.60
自引率
0.00%
发文量
9
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.
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