ANALYSIS AND SURVEY ON STOCK MARKET PREDICTION TECHNIQUES

Abstract

Prediction of the Stock Market is a difficult undertaking in anticipating the stock costs later on. Because of the fluctuating idea of the stock, the stock market is too hard to even think about predicting. Stock costs are constantly changing each day. Assessing of the stock market has an appeal for stock clients. Applying all removed principles whenever is a significant test to gauge the future stock cost with high exactness. The most recent prediction techniques embraced for the stock market, for example, Artificial Neural Network, Neuro-Fuzzy System, Time Series Linear Models (TSLM), Recurrent Neural Network (RNN) and their focal points and inconveniences are examined and investigated in this structure work. This paper is going to examine various techniques identified with the prediction of the stock market.