Due to its dynamics, non-linearity and complexity nature, stock market is inherently difficult to
predict. One of the attractive objectives is to predict stock market movement direction by …

Forecasting stock market movement is a widely researched topic both in academia and
industry. Accurate forecast of stock direction can help investors to acquire opportunities for …

Predicting stock market accurately has always fascinated the market analysts. During the
previous few decades assorted machine learning techniques (Regression, RBFN, SOM, BN …

Today's markets are rather matured and arbitrage opportunities remain for a very short time.
The main objective of the paper is to devise a stock market ontology-based novel trading …

Stock market analysis is one of the biggest areas of interest for text mining. Many
researchers proposed different approaches that use text information for predicting the …

In this work we propose a novel predictive model for improving investment capability that
uses structured and unstructured data to predict stock price movements. We adopt deep …

This research investigates the daily stock news influences toward a company's stock price
direction in the Stock Exchange of Thailand. First, machine learning's text classification …

El objetivo de este estudio es construir un modelo de predicci´ on de precios para las
acciones de las empresas del sector de energ´ ıa que cotizan en la Bolsa de Santiago …

Six text classification methods were compared to find the best model for predicting Stock
Exchange of Thailand stock prices. News headlines, on individual stocks, were classified as …