Financial market prediction is an important task for placing an investor's hard-earned money
in the financial market to earn profit. Many parameters affect the financial market's valuation …

This study investigates the integration of machine learning techniques with multi-indicator
strategies in algorithmic trading to overcome the limitations of traditional trading methods. As …

Quantum computing is an essential issue for taking advantage of quantum properties in real-
world applications. Realizing quantum computing with a corresponding quantum circuit is a …

Today, with the rapid growth of Internet technology, the changing trend of real estate finance
has brought great an impact on the progress of the social economy. In order to explore the …

A country product network data is a format commonly used in international trade that
analyses historical trades to create future projections. A country's economic value can be …

Solar energy penetration in power grids helps to maintain power balance between
generation and demand, thus enhances power grid performance. However, these …

The stock market is a profit-oriented, chaotic, and nonlinear market game platform. Because
price changes are directly related to investors' returns, the accurate prediction of the short …

Computational intelligence (CI) has been extensively used in financial technology areas to
help make smart decisions within enormous solution spaces. This study proposes a new …

A cryptocurrency is a non-centralized form of money that facilitates financial transactions
using cryptographic processes. It can be thought of as a virtual currency or a payment …

Quantum computing is a next-generation computing paradigm that offers potential
advantages for addressing complex real-world applications, such as portfolio optimization …