Exploring the Integration of Quantum Computing and Shark Algorithms in Stock Market Trading: Implications for Accounting, Finance and Auditing

Abstract

Exploring the Integration of Quantum Computing and Shark Algorithms in Stock Market Trading: Implications for Accounting, Finance, and Auditing offers a pioneering and comprehensive investigation into the fusion of quantum computing with shark algorithms—advanced trading models frequently used in financial markets. Quantum computing represents a radical departure from classical computing by leveraging quantum mechanics principles, such as superposition, entanglement, and quantum tunneling, to handle vast and complex datasets more efficiently. This allows quantum computers to perform calculations exponentially faster, making them ideal for solving intricate financial challenges that involve massive data sets and unpredictable market dynamics. The study explores the potential of quantum computing to enhance shark algorithms, which are designed to detect market patterns, optimize trading strategies, and forecast stock price movements. By integrating quantum computing, these algorithms could achieve far more accurate predictions and dynamic real-time decision-making capabilities, leading to improved portfolio management and optimized risk exposure. The paper includes rigorous mathematical models and simulations conducted in MATLAB to demonstrate the superiority of quantum-enhanced trading algorithms over traditional methods, particularly in high-frequency trading environments.Furthermore, the research explores the profound implications for accounting and auditing practices. Quantum computing could automate and significantly accelerate the auditing process by analyzing complex financial data at speeds unimaginable with classical systems, leading to higher precision in detecting financial anomalies, discrepancies, and potential fraud. The paper focuses on the potential impact on Borsa Istanbul, Turkey’s leading stock exchange, positioning it as a regional hub for financial technology innovation driven by quantum advancements. The paper also discusses challenges such as the high cost of quantum infrastructure, the need for ethical frameworks to prevent market manipulation, and the learning curve for financial professionals. In sum, this research offers an in-depth look into quantum computing as the future frontier of financial technology, with wide-reaching applications across stock market trading, finance, and auditing.