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Examining the Effects of Technical Indicators, Fundamental Factors, and Market Sentiment on Forex Trading Behavior at YI Trade

  • I Gusti Agung Widi Pradipta1*
  • Ni Made Suci2
  • Fridayana Yudiatmaja3
1,2,3 Ganesha University of Education image/svg+xml
* Corresponding Author: I Gusti Agung Widi Pradipta

Abstract

Forex trading carries various risks that require attention. Based on this, this study aims to analyze the factors influencing the selection of forex trading transaction recommendations on YI Trade. This research is quantitative with a descriptive quantitative approach. The population includes community members, platform users, or customers receiving YI Trade online trading signals. The research sample was selected using a purposive sampling technique. The sample size in this study ranged from 50 to 79 respondents. The research method used in this study was a closed-ended questionnaire. The data collection instrument used a questionnaire sheet. The techniques used in data analysis were multiple linear regression and the t-test. The results showed that, first, testing the influence of Fundamentals (X1) on Transaction Recommendations (Y) obtained a coefficient value of 0.198 with a significance value of 0.014, indicating a significant influence between Fundamentals (X1) and Transaction Recommendations (Y). Second, the influence of Perception of Technical Analysis (X2) on Transaction Recommendation (Y) obtained a coefficient value of 0.426 with a significance value of 0.000, so there is a significant influence of Perception of Technical Analysis (X2) on Transaction Recommendation (Y). Third, the influence of Market Sentiment (X3) on Transaction Recommendation (Y) obtained a coefficient value of 0.098 with a significance value of 0.025, so there is a significant influence of Market Sentiment (X3) on Transaction Recommendation (Y). Fourth, Hypothesis VI. significance value of 0.000 (α <0.05). It is concluded that the Fundamental variables (X1), Perception of Technical Analysis (X2), and Market Sentiment (X3) simultaneously have a significant influence on the Transaction Recommendation variable (Y).

Keywords

Trading Forex Yi Trade

How to Cite

Citation Format
Widi Pradipta, I. G. A., Suci, N. M., & Yudiatmaja, F. (2026). Examining the Effects of Technical Indicators, Fundamental Factors, and Market Sentiment on Forex Trading Behavior at YI Trade. International Journal of Management Science and Information Technology, 6(1), 713-724. https://doi.org/10.35870/ijmsit.v6i1.7097

References

41 References
  • Ademmer, M., Horn, W., & Quast, J. (2020). Stock market dynamics and the relative importance of domestic, foreign, and common shocks. International Journal of Finance & Economics, 27(4). https://doi.org/10.1002/ijfe.2194
  • Aditya, N. (2017). Penerapan Manajemen Risiko Perusahaan Dan Nilai Perusahaan Di Sektor Konstruksi Dan Properti. Jurnal Bisnis Dan Manajemen, 7(2), 167–180.
  • Baradja, A., Tjendrowasono, T. I., Agus, R., & Sudalyo, T. (2021). Evaluasi dan Perbandingan Indikator Teknikal dalam Prediksi Pergerakan Mata Uang Forex. Jurnal Pustaka Data (Pusat Akses Kajian Database, Analisa Teknologi, Dan Arsitektur Komputer), 1(1). https://doi.org/10.55382/jurnalpustakadata.v1i1.698
  • Baker, M., Wurgler, J., & Yuan, Y. (2022). Global investor sentiment and international stock returns. Journal of Financial Economics, 145(2), 587–606. https://doi.org/10.1016/j.jfineco.2021.12.002
  • Bilal, M., Aamir, M., & Abdullah, S. (2024). Metamorphosing forex: advancements in volatility forecasting using a modified fuzzy time series framework. Journal of Big Data, 11. https://doi.org/10.1186/s40537-024-01003-7
  • Bricongne, J.-C., & Marolleau, L. (2025). The impact of monetary surprises on exchange rates: Results from textual and high-frequency analysis. Journal of International Money and Finance, 158. https://doi.org/10.1016/j.jimonfin.2025.103401
  • Cabiddu, F., Moi, L., Patriotta, G., & Allen, D. G. (2022). Why do users trust algorithms? A review and conceptualization of initial trust and trust over time. European Management Journal, 40(5). https://doi.org/10.1016/j.emj.2022.06.001
  • Danila, N., & Aggarwal, P. (2025). Foreign exchange market herd behaviour: empirical study in ASEAN-5 countries. Asian Journal of Accounting Research, 10(1). https://doi.org/10.1108/AJAR-11-2023-0381
  • Dorfleitner, G., Fischer, L., Lung, C., Willmertinger, P., Stang, N., & Dietrich, N. (2018). To follow or not to follow an empirical analysis of the returns of actors on social trading platforms. The Quarterly Review of Economics and Finance, 70. https://doi.org/10.1016/j.qref.2018.04.009
  • Erdős, S., Papp, T., & Vörös, Z. (2022). The effects of community-based signals on investment decisions in copy trading. Journal of Behavioral and Experimental Economics, 97. https://doi.org/10.1016/j.socec.2022.101847
  • Fadrianto, I. P., & Mulyani, S. D. (2018). Pengaruh Manajemen Risiko Dan Karakteristik Perusahaan Terhadap Penghindaran Pajak Dengan Pengungkapan Corporate Social Responsibility Sebagai Variabel Moderasi. Jurnal Ilmiah Akuntansi, 4(2), 72–78. https://doi.org/10.32528/psneb.v0i0.5194
  • Hayo, B., & Iwatsubo, K. (2022). Who is successful in foreign exchange margin trading?New survey evidence from Japan. Sustainability, 14(18). https://doi.org/10.3390/su141811662
  • Hu, F., Kusnadi, Y., Wang, J., & Wang, Y. (2022). Insider trading restrictions and real activities earnings management: International evidence. Journal of International Financial Markets, Institutions and Money, 80. https://doi.org/10.1016/j.intfin.2022.101641
  • Hu, Z., Zhao, Y., & Khushi, M. (2021). A Survey of Forex and Stock Price Prediction Using Deep Learning. Appl. Syst. Innov., 4(1). https://doi.org/10.3390/asi4010009
  • Huang, X., Liu, H., & Li, Z. (2023). Social media sentiment and exchange rate predictability. Finance Research Letters, 52, 103487. https://doi.org/10.1016/j.frl.2022.103487
  • Husaeni, U. A., Priyatno, D., Syaddad, H. N., & Paminto, S. R. (2024). Determinants of public investment decision in Forex robots trading: Evidence from Indonesia. Asian Journal of Business and Accounting, 17(1). https://doi.org/10.22452/ajba.vol17no1.4
  • Indrawan, G. A., & Dewi, L. G. K. (2023). Analisis kondisi pasar modal pra pasca kenaikan BI 7-Day Repo Rate. Vokasi: Jurnal Riset Akuntansi, 12(2). https://doi.org/10.23887/vjra.v12i2.60052
  • Indrawan, I. K. P., & Sinarwati, N. K. (2024). Reaksi investor terhadap pasar modal di masa pandemi Covid-19. Bisma: Jurnal Manajemen, 10(2). https://doi.org/10.23887/bjm.v10i2.69711
  • Jannet, W. Ben, & Barguellil, A. (2025). Central Bank Credibility and Exchange Rate Volatility: A Comprehensive Bibliometric Analysis. Journal of Risk and Financial Management, 18(2). https://doi.org/10.3390/jrfm18020044
  • Jiang, C., Wu, Y., & Zhou, G. (2023). Macroeconomic determinants of exchange rate movements: Evidence from emerging markets. International Review of Economics & Finance, 84, 112–128. https://doi.org/10.1016/j.iref.2022.11.015
  • Junior, M. A., Appiahene, P., Appiah, O., & Bombie, C. N. (2023). Forex market forecasting using machine learning: Systematic Literature Review and meta-analysis. Journal of Big Data, 10(9). https://journalofbigdata.springeropen.com/articles/10.1186/
  • Karim, R., Obereder, P., & Walter, A. (2022). Social trading: do signal providers trigger gambling? Review of Managerial Science, 17. https://doi.org/10.1007/s11846-022-00560-6
  • Kim, T., & Nguyen, D. (2022). Fundamental information and currency trading performance. Research in International Business and Finance, 61, 101654. https://doi.org/10.1016/j.ribaf.2022.101654
  • Kromidha, E., & Li, M. C. (2019). Determinants of leadership in online social trading: A signaling theory perspective. Journal of Business Research, 97. https://doi.org/10.1016/j.jbusres.2019.01.004
  • Ligot, S., Gillet, R., & Veryzhenko, I. (2021). Intraday volatility smile: Effects of fragmentation and high frequency trading on price efficiency. Journal of International Financial Markets, Institutions and Money, 75. https://doi.org/10.1016/j.intfin.2021.101437
  • López-Herrera, F., Jiménez, J. G. M., & Santiago, A. R. (2025). Directional forecasting for eight forex pairs against the US dollar using machine learning techniques. Discover Artificial Intelligence, 5. https://doi.org/10.1007/s44163-025-00424-4
  • Papadimitriou, P., & Pasiouras, F. (2021). Financial leverage and performance: the case of financial technology firms. Applied Economics, 53(44). https://doi.org/10.1080/00036846.2021.1915949
  • Pee, S. J., Kang, E. S., Song, J. G., & Jang, J. W. (2019). Blockchain based smart energy trading platform using smart contract. 2019 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), 322–325.
  • Peng, Z., & Hu, C. (2020). The threshold effect of leveraged trading on the stock price crash risk: Evidence from China. Entropy, 22(3). https://doi.org/10.3390/e22030268
  • Pitasuman, S., & Wall, W. P. (2017). Forex Traders: Elements that Influence Trading Decisions. ASEAN Journal of Management & Innovation., 4(2). https://doi.org/10.14456/ajmi.2017.26
  • Prayoga, K. M. P., & Purnamawati, I. G. A. (2024). Pengaruh edukasi investasi, persepsi risiko, return, dan modal investasi minimum terhadap minat berinvestasi di pasar modal. JIMAT (Jurnal Ilmiah Mahasiswa Akuntansi), 15(2). https://doi.org/10.23887/jimat.v15i02.68975
  • Rindiani, P. N., & Darmawan, N. A. S. (2024). Pengaruh literasi keuangan, pengetahuan investasi, persepsi risiko dan motivasi investasi terhadap pengambilan keputusan investasi pasar modal. JIMAT (Jurnal Ilmiah Mahasiswa Akuntansi), 15(2). https://doi.org/10.23887/jimat.v15i02.68540
  • Safari, S. A., Janisch, M., & Lehéricy, T. (2025). International Financial Markets Through 150 Years: Evaluating Stylized Facts. Journal of International Money and Finance, 131. https://doi.org/10.48550/arXiv.2504.08611
  • Sanaei, B., & Daneshvar, S. (2025). Enhancing Forex Market Forecasting with ConvLSTM2D: A Comprehensive Analysis of Spatiotemporal Dependencies and Data Preprocessing Techniques. Computational Economics. https://doi.org/10.1007/s10614-025-10974-5
  • Sriasih, N. P., & Wahyuni, M. A. (2021). Determinan minat berinvestasi mahasiswa di pasar modal. Ekuitas: Jurnal Pendidikan Ekonomi, 8(2). https://doi.org/10.23887/ekuitas.v8i2.26884
  • Tang, C., Liu, X., & Zhou, B. (2022). Financial market resilience and financial development: A global perspective. Journal of International Financial Markets, Institutions and Money, 80. https://doi.org/10.1016/j.intfin.2022.10165
  • Teplova, T., & Tomtosov, A. (2021). Can high trading volume and volatility switch boost momentum to show greater inefficiency and avoid crashes in emerging markets? The economic relationship in factor investing in emerging markets. The Quarterly Review of Economics and Finance, 80. https://doi.org/10.1016/j.qref.2021.01.018
  • Wibawa, I. G. A. H., Kurniawan, P. S., & Martadinata, I. P. H. (2024). Analisis hubungan pengetahuan investasi, motivasi investasi, dan persepsi risiko investasi dengan minat investasi di pasar modal. JIAH (Jurnal Ilmiah Akuntansi dan Humanika), 15(2). https://doi.org/10.23887/jiah.v15i2.101152
  • Yu, P., Hao, R., Cai, Z., Sun, Y., & Zhang, X. (2022). Does emission trading system achieve the win-win of carbon emission reduction and financial performance improvement? Evidence from Chinese A-share listed firms in industrial sector. Journal of Cleaner Production, 333. https://doi.org/10.1016/j.jclepro.2021.130121
  • Yusuf, A. M. (2014). Metode Penelitian Kuantitatif, Kualitatif & Penelitian Gabungan. Jakarta : prenadamedia group.
  • Zhang, Y., & Hamori, S. (2021). Do technical trading rules generate excess returns in the foreign exchange market? International Review of Financial Analysis, 76, 101781. https://doi.org/10.1016/j.irfa.2021.101781

Author Biographies

I Gusti Agung Widi Pradipta, Ganesha University of Education

Department of Magister Management, Universitas Pendidikan Ganesha, Buleleng Regency, Bali Province, Indonesia

Ni Made Suci, Ganesha University of Education

Department of Magister Management, Universitas Pendidikan Ganesha, Buleleng Regency, Bali Province, Indonesia

Fridayana Yudiatmaja, Ganesha University of Education

Department of Magister Management, Universitas Pendidikan Ganesha, Buleleng Regency, Bali Province, Indonesia

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Copyright (c) 2026 I Gusti Agung Widi Pradipta, Ni Made Suci, Fridayana Yudiatmaja

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