Automated stock trading is now the de-facto way that investors have chosen to obtain high
profits in the stock market while keeping risk under control. One of the approaches is to …

The continuously changing nature of stock markets poses a non-trivial challenge to build
automated trading agents that timely assist traders in their decision makings. Fixed sets of …

Abstract The impact of Automated Trading Systems (ATS) on financial markets is growing
every year and the trades generated by an algorithm now account for the majority of orders …

Trading stocks requires effective methodologies to succeed in the business process.
Automated stock trading involves utilizing computer algorithms and software programs to …

This study investigated the performance of a trading agent based on a convolutional neural
network model in portfolio management. The results showed that with real-world data the …

O mundo das mercados de apostas desportivas (trading) está em constante crescimento e
com isso as pessoas estão a tentar melhorar os resultados do seu trading usando agentes …

The financial market, as a complex nonlinear dynamic system frequently influenced by
various factors, such as international investment capital, is very challenging to build trading …

Trading strategies play a vital role in Algorithmic trading, a computer program that takes and
executes automated trading decisions in the stock market. The conventional wisdom is that …

Algorithmic trading based on machine learning is a developing and promising field of
research. Financial markets have a complex, uncertain, and dynamic nature, making them …

Financial markets such as stock exchanges and electronic prediction markets frequently use
the services of an entity called the market-maker to ensure that the market's traders can …