Algorithm, in a hollow sense, is big data combined with mathematical logic. Specifically, it refers to the price space network woven from two-dimensional data of points, lines, and surfaces, combined with the information at a given time point, forming a three-dimensional pricing system.

A point is the core price node data, encompassing both standard and random elements. The standard element consists of mathematical formulas, such as the Fibonacci sequence, expected value formulas, and probability theory formulas, which represent the sensitive areas of data. Why do random elements exist? Because standard models help large funds calculate costs and risks, and they also contribute to the stability of robotic algorithm logic. However, if the data is static, it is easy for those with a certain level of mathematical thinking and data analysis to grasp it. Yet, large funds still need to control costs and risks, and the stability of robotic algorithm logic cannot abandon the stability of standard data logic. So what can be done?

The significance of random elements emerges, introducing core data points that are random. Using random data as points, these random data points are then connected to form lines and surfaces, adhering to the mathematical logic of standard elements within this two-dimensional space. This creates a dynamic data environment that establishes static algorithm logic. This is the meaning of the existence of random data points. The manipulability is not reduced and is not easily calculable, yet it can stably control the costs and risks of large funds.

The core data of time lies in the nodes of major policies and statements, resulting in changes in the weight of expected consensus and divergence.

Combining two-dimensional space data with time creates a three-dimensional trading system. Points are mostly determined by the range of random elements, lines generally follow the mathematical logic of standard elements within the range of these random elements. Surfaces are mostly the cross-resonance and divergence of multiple currencies.