In this paper, we propose a hybrid machine learning system based on Genetic Algorithm
(GA) and Support Vector Machines (SVM) for stock market prediction. A variety of indicators …

In the finance world stock trading is one of the most important activities. Stock market
prediction is an act of trying to determine the future value of a stock other financial instrument …

Predicting the stock market has been done for a long time using traditional methods by
analyzing fundamental and technical aspects. With machine learning, stock market …

Stock forecasting is a very complex non-stationary, nonlinear time series forecasting, and is
often affected by many factors, making it difficult to predict it with a simple model. Support …

Prediction of stock market is a long-time attractive topic to researchers from different fields. In
particular, numerous studies have been conducted to predict the movement of stock market …

Forecasting the stock market has always been one of the challenges for stock market
participants to make more profit. Among the problems of stock price forecasting, we can …

Stock market plays a key role in economical and social organization of a country. Stock
market forecasting is highly demanding and most challenging task for investors, professional …

Traditional statistical as well as artificial intelligence techniques are widely used for stock
market forecasting. Due to the nonlinearity in stock data, a model developed using the …

Artificial Intelligence models (AI) which computerize human reasoning has found a
challenging test bed for various paradigms in many areas including financial time series …

Stock prediction with data mining techniques is one of the most important issues in finance
being investigated by researchers across the globe. Data mining techniques can be used …