Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
IEEE Transactions on Neural Networks
A comparison of nonlinear methods for predicting earnings surprises and returns
IEEE Transactions on Neural Networks
Support vector machine with adaptive parameters in financial time series forecasting
IEEE Transactions on Neural Networks
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An intelligent tool for the investment knowledge learning and sharing is proposed and developed. The candlestick pattern is a widely used empirical model of investment decision and the investors can make investment decisions by the identified candlestick patterns. The imprecise and vague investment knowledge is represented in fuzzy candlestick patterns. The pattern consists of candlestick lines which are derived from the variation of the trading prices. The investor can create, edit, validate, and share the patterns by the proposed system. A graphical user interface (GUI) is designed to display the candlestick patterns and the user can also capture the pattern directly from the GUI. A fuzzy pattern recognition module is implemented in the system to help the user to identify the patterns automatically from the large amount financial database.