Predicting Holding Days for Equity Gain Using Wavelets

Stock price prediction has a wide range of uncertainties, and many factors influence it. There are numerous research studies available that focus on predicting the stock price and analyzing the stock market. This work is based on stock price movement direction, a very challenging and complex task. The main objective of this work is to find out the future trading interval days. This empirical study involves collecting historical data from relevant sources for a certain period and analyzing the wavelet features to find the trading interval days. Furthermore, the stock performance of the interval days is evaluated with an accuracy measure. Hence, the learned/described model provides the interval days to get an equity gain with a set threshold for a given stock using wavelets which can be applied further in stock market analysis.