Non-linear dynamics, with chaos theory as a significant component, has emerged as a dynamic and influential field that profoundly impacts various scientific disciplines. By merging innovative mathematics with high-speed computing, this field has unlocked new insights into the behaviour of complex systems, revealing surprising results even in the simplest non-linear models.

In recent years, chaos theory and non-linear mathematics have made significant inroads into the financial sector, offering valuable explanations for the dynamics of financial markets. Chaotic models, which can replicate behaviours observed in empirical financial data, provide a deeper understanding of the role of non-linearities in financial market dynamics.

The methodology that underpins the Strategy has its origins in the early 2000s and has undergone continuous refinement through extensive research and development over the past two decades. This evolution has transformed it into a sophisticated data analysis tool designed to enhance the implementation of the investment product.

Throughout its development, the model has been at the forefront of creating software based on non-linear theory, particularly chaos theory, to elucidate market movement trends. This software has been meticulously developed and refined to facilitate real-time data acquisition and its correlation with live information streams from platforms such as Reuters.

Fundamentally, the model operates by capturing real-time data across eleven charting timescales, extending up to 120 hours, and assigning a strength value to each timeframe. This data is visualized through twelve distinct graphical representations, highlighting key metrics such as wave tendencies, strength, and direction.

It is important to note that the timelines within the model exhibit highly interdependent energies, constantly fluctuating without clear or simplistic synchronization. Interpreting this complex amalgamation of information requires advanced analytical skills, as the data indices do not directly correlate with decision-making processes in currency market trading. It is through the use this proprietary model that the Strategy is constructed in such a way as to allow for sound discretionary investment decisions. It is not a black box nor an automated system but one that necessitates human interpretation and intervention.