Digital Signal Processing for Predicting Stock Prices in Financial market

Abstract

Financial market is quite dynamic and challenging in trading where investor will either make money or lose their entire life savings. Predictive logic and analysis tries to evaluate whether there is any similarity between the historical data and future tendency. Accurate prediction and analysis of huge amount of financial data facilitate the retrieval of significant information from large data, which is unknown. In this paper, an attempt is made for prediction of stock prices and transaction trend to understand its volatile nature and predict its behavior to gain profits.