This episode provides an overview of advanced technical analysis indicators that utilize the Dominant Cycle measurement to create adaptive trading tools. Chapter 10 examines how three traditional oscillator-type indicators—the Cyber Cycle, the CG Indicator, and the Relative Vigor Index (RVI)—are enhanced by making their computational lengths adaptive to the market's dominant cycle, noting that all three adaptive versions exhibit similar performance. Chapter 11 introduces the Sinewave Indicator, a predictive, noncausal filter that anticipates cycle turning points by measuring and advancing the phase of the dominant cycle, offering advantages over conventional oscillators by reducing lag and avoiding false signals during trending markets. Finally, Chapter 12 details a method for adapting to the trend by measuring momentum over one full Dominant Cycle period and smoothing the resulting values using a Super Smoother filter, creating a viable trend-following strategy. Chapter 13 focuses on Super Smoothers, introducing Butterworth digital filters and describing how multipole filters are derived from them to achieve superior smoothing characteristics with a sharp frequency cutoff