This study investigates the influential energy stocks in the China stock market between
2005.1. 4 and 2018.4. 3. The influential energy stock is defined as a stock whose …

This paper aims to contribute to technical-scientific knowledge about the tools needed to
support the decision making in investments in the capital market. We focus our analysis on …

The implementation of tools such as Genetic Algorithms has not been exploited for asset
price prediction despite their power, robustness, and potential application in the stock …

This paper is discusses the problems of the short-term forecasting of financial time series
using supervised machine learning (ML) approach. For this goal, we applied several the …

The palm oil industry has a strategic role in economic development in Indonesia, especially
in alleviating poverty and creating other businesses that can support the industry …

Predicting the price and trends of financial instruments is a major challenge in the financial
industry, impacting investment decision-making efficiency for various stakeholders. Although …

Adjusting investment strategy is one of the ways to handle dynamic market conditions. This
study proposes a novel portfolio management strategy using appropriate optimization …

One of the essential concerns of investors of all time is to choose the best investment
opportunities to capitalize on the value of their investment in stocks. Its objective is to …

The attempt to predict stock price movements has occupied investors ever since. Reliable
forecasts are a basis for investment management, and improved forecasting results lead to …

This research studies cryptocurrency trading with an emphasis on technical analysis. In
particular, the classic Turtle Trading System is modified to suit cryptocurrency trading. Based …