论文信息 - A Comparative Study on Financial Stock Market Prediction Models

A Comparative Study on Financial Stock Market Prediction Models

---------------------------------------------------------------------Abstract------------------------------------------------------------------Now a day’s investors invest money in financial products. Financial operations are not local but wide-ranging to all the countries in the world. Stock Market is the market for security where organized issuance and trading of Stocks take place either through trading or over the counter in electronic or physical form. In stock markets, many guiding principle such as price limits are made to get involved between the financial operations so that a volatility of stock prices is more uncertain than one without disturbance. Investment in the financial market is one of the best ways to obtain high rewards, but it is also a great risk among many investments. The financial market is considered as a high complex and dynamic system. So the price prediction is one of the most important issues to be investigated by researchers. The objective of the proposed paper is to do study, improvement in the machine learning approaches to predict the financial products. For financial market prediction different approaches like Artificial Intelligence, Machine Learning Techniques and various data mining techniques are used.

Mr. Amit B. Suthar | Ms. Hiral R. Patel | Dr. Satyen M. Parikh | Hengjin Cai

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