Why Dr. Glen Brown Chose Functional Programming for Global Algorithmic Trading Software (GATS)

Why Dr. Glen Brown Chose Functional Programming for Global Algorithmic Trading Software (GATS)

In the intricate world of algorithmic trading, the performance, reliability, and maintainability of trading software are paramount. This is why, when conceptualizing the Global Algorithmic Trading Software (GATS), Dr. Glen Brown opted for functional programming as the cornerstone of its development. This choice was not arbitrary but grounded in the substantial benefits that functional programming brings to complex systems like GATS. Here’s a deeper look into why functional programming was the preferred choice for GATS.

Immutability: The Bedrock of Reliability

One of the hallmark features of functional programming is immutability. Once data is created, it cannot be altered. This principle is a boon for trading systems where the accuracy of data is non-negotiable. Immutability in GATS ensures that once a trade decision is made based on market data, the integrity of that decision is preserved, eliminating the risks associated with shared mutable state.

Mastering Concurrency

The ability to perform operations concurrently is critical in trading software, where milliseconds can mean the difference between profit and loss. Functional programming’s inherent design for immutability and statelessness facilitates easier and safer concurrent execution. This means GATS can efficiently process vast volumes of market data and execute multiple strategies simultaneously without the common pitfalls of concurrency in imperative programming.

Higher-order Functions: A Symphony of Strategies

Higher-order functions in functional programming treat functions as first-class citizens. This capability allows GATS to compose complex trading strategies from simpler, reusable components. It’s akin to building a sophisticated trading orchestra from individual musical notes, providing a level of modularity and code reuse that is both elegant and efficient.

Clarity and Maintainability

The declarative nature of functional programming focuses on what the solution is, rather than how it’s implemented. This results in code that’s not only concise but also more readable. For GATS, this translates to trading logic that’s clearer, making the system easier to debug, maintain, and extend over time.

Ensuring Fewer Bugs

Functional programming’s emphasis on pure functions and the absence of side effects significantly lowers the bug ratio. Since functions in GATS depend solely on provided input and not on external state, predicting their behavior becomes straightforward, leading to more reliable trading algorithms.

Simplified Testing and Debugging

The purity of functions in functional programming means they can be tested in isolation, simplifying unit testing and debugging processes. For GATS, this ensures that each trading function can be independently verified for accuracy, a critical factor in the unforgiving realm of financial trading.


The principles of functional programming align well with the requirements for scalability. As GATS grows in complexity and volume, the underlying functional architecture ensures that scaling up doesn’t necessitate a complete overhaul of the system.


The decision to employ functional programming in the development of the Global Algorithmic Trading Software was driven by a clear understanding of its advantages in creating complex, high-performance systems. Dr. Glen Brown’s choice underscores a commitment to excellence in algorithmic trading, ensuring GATS is built on a foundation that emphasizes reliability, efficiency, and maintainability. The use of functional programming is not just a technical decision; it’s a strategic one that positions GATS as a leader in the competitive world of algorithmic trading.

About the Author: Dr. Glen Brown

Dr. Glen Brown is the visionary behind the Global Algorithmic Trading Software (GATS) and the president of the Global Accountancy Institute, Inc. With a passion for finance and technology, Dr. Brown has dedicated his career to developing innovative solutions for traders worldwide. His expertise in algorithmic trading and his commitment to education have positioned him as a leading figure in the financial industry.

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Important Course Update

We would like to inform all our followers and potential applicants that the Global Professional Proprietary Trading Course (GPPTC) will now be exclusively available to internal staff at Global Accountancy Institute, Inc., and Global Financial Engineering, Inc. . This decision aligns with our strategic focus on developing and retaining top-tier trading talent, enhancing our proprietary trading capabilities internally.

This exclusive training program is designed to equip our team with advanced skills and strategies in proprietary trading, using our state-of-the-art Global Algorithmic Trading Software (GATS). The GPPTC will foster a highly skilled workforce capable of navigating complex market conditions and contributing significantly to our firm’s success.

We appreciate the interest that has been shown in our course and are excited to continue advancing our trading operations with this refined focus.

Thank you for your understanding and continued support.

General Disclaimer

The information provided in this article is for educational purposes only and does not constitute investment advice. The strategies mentioned herein may not be suitable for all investors. Trading involves risks, including the potential loss of principal. The Global Accountancy Institute, Inc. is not responsible for any losses incurred as a result of using the Global Algorithmic Trading Software (GATS) or participating in the Global Elite Proprietary Trading Program (GEPTP).

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