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International Conference on Software Technology and Engineering (ICSTE 2012)

Jianhong Zhou
Jianhong Zhou
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Chat patterns and indicators are popularly used to make investment decisions. This paper presents a trading strategy combining price movement patterns, candlestick chart patterns, and trading indicators including MA, EMA, BB, OVB, RSI, MACD, and Stochastic Oscillator with the aim to increase the return on investment. A neural network model is employed to determine buy and sell signals on the next trading day. Stocks in three different industries from Stock Exchange of Thailand are used as case studies. The experimental results show that the proposed strategy yields higher returns than traditional means of trading.g

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