Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques
Four machine learning algorithms are used for prediction in stock markets. Focus is on data pre-processing to improve the prediction accuracy. Technical indicators are discretised by exploiting the inherent opinion. Prediction accuracy of algorithms increases when discrete data is used.
stock market naive-bayes classification artificial neural networks support vector machine random forest