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This technical analysis includes two parts, the technical indicators and the trends. Many researches have applied technical indicators in the financial decision area, but few researches have applied the wave principle to the trends. The extract N-wave under Elliott Wave characteristics using the back-propagation neural network (BPNN) method is applied in this work. The results showed that integrating RSI and MACD with the N-wave provides better accuracy and profitability prediction than considering only the N-wave physical quantity. RSI represents the short-term disturbance and MACD represents the long-term trends. The results show that long-term and short-term physical quantities also have control ability on the stock market. This study establishes an intelligent model that provides original value retrospect indicators that present more confident recommendations to investors.

Integrating Physical Expert Systems to Forecast Taiwan Stock Behavior