Murat Karabatak
Papers
1
Total Citations
2
H-Index
1
About
Dr. Murat Karabatak is a leading researcher at the intersection of computational intelligence and financial technology, with a primary focus on algorithmic trading systems and evolutionary optimization. His most cited work introduces a groundbreaking Genetic Algorithm-based approach for developing automated trading strategies, demonstrating how evolutionary computation can optimize real-time buy and sell decisions in financial markets. This research addresses a critical challenge in fintech: the automatic selection and tuning of technical analysis indicators for trading robots. With 2 citations on his landmark 2023 paper, Karabatak’s contributions are gaining traction among scholars working on machine learning applications in quantitative finance. His work bridges the gap between traditional technical analysis and modern artificial intelligence, offering practical frameworks for developing more adaptive and profitable trading systems. By integrating genetic algorithms into strategy selection, Karabatak has provided a scalable solution that reduces human bias and enhances decision-making in high-frequency trading environments. His research continues to influence both academic studies and real-world fintech applications, positioning him as an emerging voice in computational finance and evolutionary optimization.
Research Focus
Key Achievements
Top Papers
- 1