Rescaling stochastic, percent-B, and wave-count parameters

Settings that follow the bar scale

The archive treats a published stochastic lookback, a Bollinger percent-B window, and an Elliott-style 1-2-3 reversal threshold as settings that belong to a chosen scale. A stochastic oscillator is a range-position oscillator whose period and slowing inputs locate the close inside a lookback high-low window. Bollinger Bands are a volatility envelope whose percent-B reading places price inside the band; a deviation period and a short average of percent-B are the two band-side inputs discussed here. An Elliott wave 1-2-3 swing label marks impulse, retracement, and continuation legs on the chosen bar scale and is treated as one module inside a larger swing-rule set.

Oscillator inputs and the reversal threshold

A reader applied a smoothed oscillator that combined Bollinger percent-B and a stochastic oscillator with four inputs set to 18, 3, 30, and 3. Those oscillator settings are not treated as transferable across 60-minute, 240-minute, daily, and weekly charts. The reply says to adapt them to the minimum reversal that should count as a wave.

That reversal threshold is the smallest percentage or average-true-range-scaled move that should register as a countable wave on the selected sampling interval. Example adapted reversal settings that mix a percentage with an average-true-range influence were given as 0.8, 5, 1.2 on 240-minute bars, 1.5, 5, 1.5 on daily bars, and 3.8, 5, 4.5 on weekly bars.

A wave count as one module

A 1-2-3 wave count is described as needing adapted settings once the instrument or sampling interval changes, including intervals below the daily bar and non-time constructions such as range bars. The same 1-2-3 wave count is presented as one module of a multi-rule swing method rather than a complete standalone model.

When a wave count is used without the remaining swing rules, the reply recommends historical tests of the chosen settings before relying on the count.

What updates, and what stops remaining useful

A self-adjusting relative-strength construction treats the overbought and oversold levels as the inputs that update, rather than requiring the user to retune length or a K coefficient. Those self-adjusting thresholds are overbought and oversold levels that update from formulas instead of remaining fixed constants the user must retune by hand.

A reader described placing multiple published strategies on the same symbol and 20-minute interval and then reoptimizing buy and sell lines after previously chosen inputs stopped remaining useful within a few days.