Trading Signal Generation Using A Combination of Chart Patterns and Indicators
Chart patterns and indicators are popular technical tools for making investment decisions. This article presents a trading strategy combining price movement patterns, candlestick chart patterns, and trading indicators, including Moving Average, Exponential Moving Average, Bollinger Bands, On Balance Volume, Relative Strength Index, Moving Average Convergence Divergence, and Stochastic Oscillator, with the aim to increase the return on investment. A neural network ensemble is employed to determine buy and sell signals on the next trading day. Experimental results, using stocks from five different industries in Stock Exchange of Thailand, show that the proposed strategy yields higher returns than do traditional technical trading methods
Keywords: Stock Trading Signals, Chart Patterns, Candlestick Charts, Indicators, Neural Network Ensemble
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ABOUT THE AUTHORS
Chalothon Chootong
Department of Computer Science, National Institute of Development Administration Bangkok, Thailand
Ohm Sornil
Department of Computer Science, National Institute of Development Administration Bangkok, Thailand
Chalothon Chootong
Department of Computer Science, National Institute of Development Administration Bangkok, Thailand
Ohm Sornil
Department of Computer Science, National Institute of Development Administration Bangkok, Thailand
