Content Analysis of the researches related to technical analysis

Document Type : Original Article

Authors
Mohammad Amin Ojaghi 1
Mohammad Tamimi 2
Saeed Nasiri 3
Mehdi Basirat, 4
1 PhD student, Department of Accounting, Ahvaz branch, Islamic Azad University, Ahvaz, Iran.
2 Assistant Professor, Department of Accounting, Dezful branch, Islamic Azad University, Dezful, Iran
3 Assistant Professor, Department of Accounting, Ahvaz branch, Islamic Azad University, Ahvaz, Iran.
4 Assistant Professor, Department of Economics, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran.
10.30495/jik.2024.76060.4442
Abstract
Purpose: The main purpose of the current research is to analyze the content of articles related to the trading method of technical analysis in order to identify the areas and tools that have been of interest to researchers or have been less discussed for those interested and researchers in this field.
Method: The current research is a descriptive research in which the content of 162 scientific articles published in 40 domestic journals during the years 1380 to 1400 was analyzed. In order to make a comparison and find tools that are less noticed in the articles, Tradingview trading platform has been considered as a benchmark for comparison.
Findings: According to this study most researched tools were Japanese candlestick patterns (33%) and support and resistance ranges. Among the main indicators, relative strength index (13.9%) and moving average (11.7%) are used the most. Of the 5000 indicators of the public library of the Trading View site, only 23 indicators have been used, of which the market facilitation index has been used by 31% and the volume change rate by 11.5%.
Conclusion: It was concluded that the number of articles published in this field is very small even compared to the existing tools, so that many tools have not been studied and less about the introduction of new tools and Improvement of technical analysis tools has been noted. But in general, the frequency of publishing articles in this field has improved compared to the early years.
Keywords
technical analysis
article content analysis
tradingview platform
Algorithm for use in high-frequency trading. Financial Engineering and Portfolio Management, 12(47), 24-42. (In Persian)
Alexander, S. (1961). Price movements in speculative markets: Trends or random walks. Industrial Management Review.
Barzideh , F., Taghvifard, M., & Zamanian, F. (2013). Portfolio Selection by DEMATEL and Analytic Network Process. Empirical Studies in Financial Accounting, 11(39), 105-124. (In Persian)
Bauer, R., Cosemans, M., & Eichholtz, P. (2009). Option trading and individual investor performance. J. Bank. Financ, 33(http://doi.org/10.1016/j.jbankfin.2008.11.005), 731–746.
Carlson, B. (2021). Some Friendly Reminders About Day Trading. Available online: https://awealthofcommonsense.com/2021/0.
Chague, F. a.-L. (2020). Day Trading for a Living? Available at SSRN: https://ssrn.com/abstract=3423101 or http://dx.doi.org/10.2139/ssrn.3423101, 1-9.
Fama, E., & Blume, M. (1966). Filter rules and stock-market trading. The Journal of Business, 226-241.
Geramirad, F., Mohamadi, M., & Sarlak, N. (2014). Content analysis of scientific journals of accounting and financial published between 2009-2012. Management Accounting, 7(23), 105-122. Retrieved from (In persian)
Gobadi, M., & Abdolbaghi, A. (2015). Fundemental Analysis Strategy and Abnormal Return. International Conference on Accounting and Management (pp. 1-11). Tehran: Islamic Azad University of dehaghan. (In Persian)
Hasselback, J., Reinstein, A., & Abdolmohammadi, M. (2012). Benchmarking the Research productivity of Accountoing Doctorates. Accounting Education, 4(27), 943-978.
Luzadis, V., Castello, L., Choi, J., & Olowabi, F. (2010). The science of ecological economics:A content analysis of ecological economics 1989-2004. Annals of the New York Academy of Science, 1(1185), 1-10.
Meyer, S., Schroff, S., & Weinhardt, C. (2014). (Un)skilled leveraged trading of retail investors. Financial Markets and Portfolio Management, 28(http://doi.org/10.1007/s11408-014-0225-1), 111-138.
Moradi, H., Shafeisardashti, M., & Rahmani, M. (1392). A DEMATLE Method for Identifying Effective Factors on Investor Decisions in Acquisition of Stocks (Case Study: Brokers at Mashhad City). Accounting and Auditing Review, 20(2), 87-108. doi:10.22059/ACCTGREV.2013.35631. (In Persian)
Newall, P., & Weiss-Cohen, L. (2022). The Gamblification of Investing: How a New Generation of Investors Is Being Born to Lose. International Journal of Environmental Research and Public Health, 9(19), 1-10.
Rashidi Ashtiyani, A., & Hassan Larijani, H. (2011). Content Analysis of Academic-Scholarly Journals in the Field of Economics Published during 2006-2010. Planning and Budgeting(JPBUD), 16(3), 133-157. (In Persian)
Saeidi Kousha, M., & Mohebbi, S. (2021). Optimizing stock portfolios by comparing different technical patterns. Financial Engineering and Portfolio Management, 12(49), 104-125.(In Persian)
Soleymaniamiri, G., Ezadpour, M., & Geramirad, F. (2020). Content Analysis of the Scientific ـ Research Journal of “Empirical Research in Accounting”. Empirical Research In Accounting, 10(1), 139-158. doi:10.22051/JERA.2019.21103.2093
Taylor, M., & Allen, H. (1992). The use of technical analysis in the foreign exchage market. Journal of international Money and Finance, 304-314.
vaghfi, s., Kamranrad , S., Nazari, T., & Halaj, E. (2021). Content Analysis of Governmental Accounting Articles from the Beginning to the End of 2020. Governmental Accounting, 7(1), 97-116. doi:10.30473/gaa.2021.56684.1438.(In Persian)
williams, T. (2023). Master the Markets (Vol. 1). (M. Shiravani, & O. Moradi, Trans.) Tehran, Iran: Nabzedanesh. (In Persian)
Zaki, M. (2007). Research trends content analysis in academic management journals. MANAGEMENT KNOWLEDGE, 19(75), 43-74. (In Persian)