Accuracy Combination Test of Classical and Modern Technical Analysis: A Case Study in Stock of PT Wijaya Karya Tbk


  • Agustini Hamid Bina Nusantara University



test accuracy, classical technical analysis, modern technical analysis


The research aimed to measure the accuracy and combination of Classic and Modern Technical Analysis. PT Wijaya Karya Tbk (WIKA)’s stock in two periods is the sample of research. Technical analysis was used to predict stock prices by observing changes in historical share price. Practically, technical analysis is divided into Classic Technical and Modern. Research was conducted by library study and using a computer software. Microsft Excel was used for the simulation and Chart Nexus for analyzing Modern Technical Analysis. The research period started in January 1, 2013 until December 31, 2013 and January 1, 2014 until December 31, 2014. The Classic Technical Analysis used Support, Resistance, Trendline, and Flag Patern. Meanwhile for Modern Technical Analysis used Moving Average, Stochastic, Moving Average Convergence Divergence (MACD) indicator. The Classical Technical Analysis gave less result than Modern Technical Analysis. The classical give 14 investment decisions in two periods. The average return of Classical Technical is 15,50%. Meanwhile the Modern Technical Analysis gave 18 investment decisions in two periods. The average return of Modern Technical is 18,14%. Combining Classic Technical Analysis and Modern Technical Analysis gave 20 investment decisions with the average rate of return 20,41%.

Author Biography

Agustini Hamid, Bina Nusantara University

Accounting and Finance Department


Bulkowski, T. (2005). Trading Classic Chart Patterns (1st ed.). Canada: Wiley Trading.

Chart Nexus (2012). Software Historical Analisis. Retrieved Desember 26, 2012 from

Darmadji, T. & Fakhrudin H. (2011). Pasar Modal di Indonesia (3rd ed.). Jakarta: Salemba Empat.

Elder, A. (2002). Come into My Trading Room. New York: John Wiley & Sons.

Fischer, R. & Fischer, J. (2003). Candlesticks, Fibonacci and Chart Pattern Trading Tools. Switzerland: Wiley Trading.

Mochsen, G., & Abdolmajid A. (2014). Profitability of technical analysis indicators to earn abnormal returns in international exchange markets. International Scientific Journal, 19(11), 20–26.

Ong, E. (2008). Technical Analysis for Mega Profit. Jakarta: Mega Options.

Purnomo, B. (2010). Fungsi Indikator MACD (Moving Average Convergence Divergence), Parabolic SAR (Stop and Reserve), dan Stochastic Oscilator untuk menentukan keputusan Jual dan Beli Saham Telekomunikasi di Bursa Efek Indonesia, Jakarta,

(Thesis). Universitas Trisakti Jakarta.

Syamsir, H. (2004). Solusi Investasi di Bursa Saham Indonesia (1st ed.). Jakarta: Elex Media Komputindo.



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