Application Of Neural Network To Technical Analysis Of Stock Market Prediction

By H. Mizuno, M. Kosaka, H. Yajima, N. Komoda. 2001

163 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. George S. Atsalakis
2. Kimon P. Valavanis
3. Mahdi Pakdaman Naeini
4. Hamid Reza Taremian
5. Homa Baradaran Hashemi
6. Erkam Güresen
7. Will Serrano
8. A.J.P. Samarawickrama

Citations in the corpus

• Stock market value prediction using neural networks (2010, methodology): “Their method was able to predict with 63% precision [12].”
• Surveying stock market forecasting techniques - Part II: Soft computing methods (2009, background): “…Twenty five technical analysis variables Malliaris and Salchenberger (1993) Exer., days, close price, volume, int., lag close price, lag mark. price Mizuno et al. (1998) Eleven technical indicators of TOPIX Motiwalla and Wahab (2000) Twenty technical analysis variables Nishina and Hagiwara (1997)…”
• A survey of the application of soft computing to investment and financial trading (2003, unknown): “Technical Analysis 23 [20], [19], [28], [27], [26], [25], [24], [23], [22], [21], [31], [30], [5], [4], [2], [18], [16], [15], [14], [12], [10], [9], [8]”