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ASME Press Select Proceedings

International Conference on Software Technology and Engineering (ICSTE 2012)

Editor
Jianhong Zhou
Jianhong Zhou
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ISBN:
9780791860151
No. of Pages:
680
Publisher:
ASME Press
Publication date:
2012

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

1. Introduction
2. Chart Patterns and Trading Indicators
3. Combining Chart Patterns and Trading Indicators
4. Experimental Results
5. Summary
References
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