About IU Capital
IU Capital is a trusted financial services firm known for its expertise in investment strategies and wealth management.
With a strong reputation for providing innovative solutions and superior client service, we offer a broad range of financial products, including trading signals and investment opportunities.
Our team of experienced professionals is committed to helping clients achieve their financial goals through a personalized, client-first approach. IU Capital is proud to be a trusted partner for both individuals and institutions seeking expert financial guidance.
MEET THE TEAM
Michael Emmons - CEO
Michael Emmons is the founder and CEO of IU Capital Fund, bringing over 15 years of hands-on experience in day trading and financial markets. With a deep understanding of market dynamics and a proven track record of navigating complex trading environments, Michael leads IU Capital Fund with a focus on innovation, transparency, and strategic growth. His vision is to empower investors through cutting-edge trading strategies and a data-driven approach to capital management.
Experience
- 15+ years of professional trading experience across equities, commodities, and FX markets
- Proven track record of building profitable trading strategies and managing risk in volatile conditions
- Extensive leadership background in financial services and investment management
Roles at IU Capital
- Visionary leader guiding the overall strategy and growth of the firm
- Oversees portfolio allocation and capital deployment across strategies
- Drives innovation in trading technology and data-driven decision-making
- Builds and maintains relationships with investors, partners, and stakeholders
Simon Huber - Co-Founder
Simon oversees operations and strategy within the Algo Development department, ensuring precision, performance, and efficiency in all processes.
Experience
- Co-Founder of IU Capital with a focus on strategic direction and operations
- Lead oversight of Algo Development department and system procedures
- Experience in algorithmic trading, risk management, and process optimization
Roles at IU Capital
- Overseeing Algo Development operations and team performance
- Defining strategic priorities for algorithmic trading systems
- Collaborating with executive leadership on innovation and growth
- Driving continuous improvement in system reliability and scalability
John Shanahan – Chief Technical Officer
John leads the development of trading systems and technology infrastructure. With expertise in algorithmic trading, backend engineering, and cloud deployment, he ensures IU Capital’s platforms are reliable, scalable, and built for high-performance execution.
Experience
- Designing automated trading strategies (MQL5, Python)
- Developing backend APIs and analytics tools
- Deploying full-stack platforms on cloud infrastructure
Roles at IU Capital
- Develop trading algorithms and bots
- Maintain backend systems and APIs
- Manage cloud deployments and infrastructure
- Support full-stack application development
Adam Szafranski - Director of Trading Systems
Adam Manages the design and development process of all automated trading strategies at IU CAPITAL. Oversees nearly every phase of algorithmic trading systems production, from initial concept through live deployment. Responsible for real-time evaluation, performance monitoring, and continuous optimization and enhancement of all automated systems.
Experience
- Multiple years of experience in the design of high-performance algorithmic trading systems
- Code development in MQL5 and Pine Script
- Implementation of robust risk-management frameworks and statistical-optimization processes
Roles at IU Capital
- Oversees the full lifecycle of algorithmic systems, from concept and backtesting to live market deployment.
- Implements robust risk-control mechanisms, trade sizing models, and drawdown protection frameworks.
- Continuously evaluates system performance in real-time, analyzing execution quality, latency, and profitability.
- Applies statistical modeling, parameter tuning, and machine learning techniques to enhance trading strategy efficiency.