F. Owolabi

Papers

1

Total Citations

2

H-Index

1

About

Dr. F. Owolabi is a pioneering researcher at the intersection of artificial intelligence and financial technology, with a primary focus on developing intelligent systems for foreign exchange (FOREX) market prediction and automated trading. Their most notable contribution is the development of i-FOREXBOT, an intelligent foreign exchange robot that leverages Scale Conjugate Gradient Neural Networks to forecast currency price movements and provide decision support for traders. This work addresses the complex, non-linear dynamics of the FOREX market, demonstrating how machine learning can transform raw historical data into actionable trading intelligence. While their foundational paper on i-FOREXBOT has garnered 2 citations, it represents a significant step toward the ultimate goal of online deployment of autonomous trading systems. Dr. Owolabi’s research bridges the gap between theoretical neural network architectures and practical fintech applications, offering a glimpse into the future of algorithmic trading. Their work continues to inspire further exploration into intelligent agents for high-stakes financial decision-making, making them a notable figure in the emerging field of AI-driven forex robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
An Intelligent Foreign Exchange Robot (i-FOREXBOT) Development with Scale Conjugate Gradient Neural Network.
2 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 2

Top Papers

  1. 1
    An Intelligent Foreign Exchange Robot (i-FOREXBOT) Development with Scale Conjugate Gradient Neural Network.
    2 citations · 2017

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago