a novel leading moving average indicator using anfis-wavelet hybrid method for financial market forecasting

Technical analysis aims to identify market trends and forecast future direction to support profitable trading decisions. this paper introduces a novel leading moving average indicator based on a hybrid anfis-wavelet approach. the proposed method consists of two main components. first, a hybrid model combining an adaptive network-based fuzzy inference system (anfis) and wavelet transform (wt) is employed to forecast future market prices, with the full wavelet decomposition of the price time series serving as input parameters for anfis. second, a leading moving average is constructed using both historical and forecasted prices. similar to the other leading indicators, the proposed indicator can serve as a market predictor due to its incorporation of forecasted values. empirical evaluation on nasdaq-listed stocks demonstrates that this indicator is effective as a trading decision-support tool in financial markets, such as stock exchanges.