Stock Market Behavior Prediction Using NN Based Model

Abstract

Stock market collects huge amount of data which is uncertain, insufficient or fuzzy in nature. To make predictions for such data is very complicated task and one of the biggest challenges to the AI community. Various traditional and statistical indicators have been proposed for this. However, combination of these tools and techniques requires highly human expertise and so much justification in the area. Stock market behavior is highly suspecible. To increase performance of prediction there is a need of method which can accurately predict stock price and can train multiple records simultaneously. Neural Network is very important tool for stock market prediction. This paper mainly highlights the Neural Network based approach to predict stock market behavior and also helps the stock brokers and investors to invest money in stock market business at the right time.