An Adaptive Oscillator (AO) is a math-based system that is able to recognize and follow oscillation patterns or cycles in constantly changing data. The algorithm works by adjusting its oscillation parameters in real-time based on the latest data input, making it highly flexible and adaptive to various conditions.

In principle, AO aims to understand cyclical or periodic data with a high degree of accuracy. By identifying these patterns, AO can predict or suggest certain actions based on the detected patterns.