Financial markets play an important role on the economical and social organization of
modern society. In these kinds of markets, information is an invaluable asset. However, with …

Applications developed to fulfil distributed systems needs have been growing rapidly. Major
evolutions have happened beginning with basic architecture relying on initiated request by a …

Recent crises, recessions and bubbles have stressed the non-stationary nature and the
presence of drastic structural changes in the financial domain. The most recent literature …

Stock market is a very volatile in-deterministic system with vast number of factors influencing
the direction of trend on varying scales and multiple layers. Efficient Market Hypothesis …

Stock is one of the investment instruments on the capital markets which provide high returns.
Furthermore, Indonesian government also supports to raise awareness on investing in stock …

Stock market prediction is a very noisy problem and the use of any additional information to
increase accuracy is necessary. In this paper, for the stock daily return prediction problem …

Time series forecasting is a problem with many applications. However, in many domains,
such as stock market, the underlying generating process of the time series observations may …

The gradual replacement of human operators by investor bots in financial markets has
changed the way assets are traded on stock markets. The use of strategies based on …

This work presents an autonomous affective decision-making system devoted to the support
of decision-making processes in the stock exchange market domain. The current proposals …

Intra-day stock market forecasting is one of the challenging tasks as its nature is difficult to
predict due to the non-volatility of the stock market. Therefore, the building block concepts of …