Concept
Kase Studies
Kase Studies, also known as Peak Oscillator, KaseCD, DevStops, are Volatility concepts. The Library holds 2 implementations, each one a working definition you can pull into Quant.
Top Kase Studies indicators
2 total
What are the Kase Studies?
The Kase studies are a suite of volatility-normalized tools developed in the early 1990s by Cynthia Kase, a chemical engineer turned energy trader. The unifying idea is to measure price movement in volatility units across a scan of lookback lengths, so signals adapt to conditions rather than being retuned per market. The best-known members: the Kase Peak Oscillator, momentum built from statistics that compare volatility-normalized up-moves and down-moves; KaseCD, a MACD-style histogram of the peak oscillator used for divergence work; and Kase DevStops, trailing stops placed at standard-deviation multiples of a two-bar true range, adjusted for the skew of range distributions.
The signature signal is the 'peak out': a peak oscillator reading beyond a threshold derived from its own history (commonly around two standard deviations), flagging a statistically stretched move as an exhaustion candidate. The studies grade the quality of a move, how far price traveled relative to what its volatility calls normal, rather than forecasting direction.
How traders use it
- For exhaustion candidates: peak-out flags and divergences between price and KaseCD mark statistically overextended momentum, read as a cue to tighten risk rather than an automatic reversal.
- For exits: DevStops trail at volatility-scaled distances in the same family as other volatility stops, with the outer lines granting a trend more room at the cost of giving back more on the turn.
- As a cross-market read: volatility normalization means the same thresholds are intended to transfer across instruments and timeframes without re-tuning, one of Kase's stated design goals.
Related concepts · Volatility estimators
Concept family
Volatility
56 concepts mapped · 43 in the Library
Kase Studies FAQ
What is the Kase Peak Oscillator used for?
It grades momentum in volatility units and flags a 'peak out' when a reading exceeds a threshold based on the oscillator's own historical extremes. Traders treat that as evidence a swing is statistically stretched: grounds to take profits, tighten stops, or watch for divergence. It is a warning device, not a standalone entry system, and stretched markets can keep stretching.
How are Kase DevStops different from ATR trailing stops?
Both trail price at volatility-scaled distances. A standard ATR stop uses a fixed multiple of average true range; DevStops start from a two-bar true range and place several lines at standard-deviation steps beyond its average, explicitly correcting for the skew of range distributions. The outer stops therefore budget for the occasional oversized bar instead of treating volatility as symmetric.
Build Kase Studies your way.
Quant writes, tests, and refines it with you — then it runs on LuxAlgo charting or ports to TradingView.

