Concept

Cyber Cycle

Cyber Cycle is a Momentum & Oscillators concept. The Library holds 1 implementations, each one a working definition you can pull into Quant.

Ehlers

Top Cyber Cycle indicators

1 total

What is the Cyber Cycle?

The Cyber Cycle is John Ehlers' filter for extracting the cyclical component of price. Introduced in his 2004 book Cybernetic Analysis for Stocks and Futures, it first smooths price with a short weighted FIR average of the last four bars, then applies a recursive filter that rejects the slow trend component while the smoothing damps bar-to-bar noise. What remains is the mid-frequency swing, the cycle, oscillating around zero, with a trigger line (the cycle delayed one bar) supplying crossover signals near turns.

The appeal is low lag: in sideways markets the crossings tend to land close to actual swing troughs and crests. The cost is that trends overwhelm it, producing repeated failed counter-trend signals. Ehlers also published normalized variants, including a stochastic version that ranks the cycle within its recent range in Stochastic Oscillator fashion so extremes are comparable across time.

How traders use it

  • Swing timing in ranging conditions: crossings of the cycle and its one-bar-delayed trigger are taken as entries near cycle troughs and crests, ideally gated by a regime filter that confirms the market is range-bound rather than trending.
  • Amplitude and rhythm reads: shrinking cycle amplitude warns that the swing rhythm is dying out, while comparing the oscillation against dominant cycle measurement tools checks whether a tradable cycle exists at all.
  • As a building block: the cycle output feeds Ehlers' adaptive and stochastic-normalized versions and other downstream studies rather than always being traded raw.

Related concepts · Classic single-name oscillators

Concept family

Momentum & Oscillators

91 concepts mapped · 72 in the Library

Cyber Cycle FAQ

What does the Cyber Cycle actually measure?

The cyclical part of price after trend is filtered out. Ehlers models price as trend plus cycle plus noise; the Cyber Cycle smooths the fastest noise and rejects the slow trend so the tradable mid-frequency swing remains, plotted as an oscillator around zero. When a market has no meaningful cycle, the output degenerates into noise-driven whipsaw rather than useful swings.

When does the Cyber Cycle work poorly?

In strong trends. The filter is built to reject trend, so persistent directional movement pins the oscillator or produces a series of counter-trend crossings that keep failing. Ehlers' own guidance is to use cycle tools when cycle amplitude dominates and trend tools when it does not, which is why the Cyber Cycle is normally paired with a regime or trend filter.

Build Cyber Cycle your way.

Quant writes, tests, and refines it with you — then it runs on LuxAlgo charting or ports to TradingView.