Multi-Length Stochastic Average

Multi-Length Stochastic Average blends stochastic oscillators of every period from 4 up to a user-defined maximum into one average. The payoff is double: an oscillator more reactive than any single long lookback, and a direct read on where price sits relative to rolling maximums and minimums across the whole span of periods. The line prints 0 only when price matches every rolling minimum in the range, and 100 only when it matches every rolling maximum.

How to Trade the Multi-Length Stochastic Average?

• Crosses of the 20/80 levels: marked with circles — these transitions time trades better than watching slope alone or waiting for the 50 mark to give way.
• Extremes at 0 or 100: every measured lookback agrees price is pinned to its lows or highs — the strongest statement of stretch the tool can make.
• Direction and strength: read it like any bounded oscillator from the momentum family; sustained readings on one side of 50 accompany trending conditions.

Pre-smoothing the source — a 20-period simple average, for instance — makes the color coding and crossing circles more pronounced. Stay alert to retracements inside a trend, which can bend the oscillator without ending the move.

Multi-Length Stochastic Average Settings

• Length: the largest stochastic period included; every period from 4 up to it contributes to the average.
• Source: the series the stochastics are computed from.
• Pre-Smoothing (1st Input): how much smoothing hits the source before calculation.
• Pre-Smoothing (2nd Input): the pre-smoothing method.
• Post-Smoothing (1st Input): smoothing applied to the finished oscillator.
• Post-Smoothing (2nd Input): the post-smoothing method.

Available methods are a simple, triangular, or least-squares moving average, plus "None" for raw output; the least-squares option can overshoot when used for post-smoothing.

Frequently Asked Questions

How does it differ from a single-length Stochastic?

A single-length Stochastic scores price against one window's range; this average polls every window from 4 bars up to your maximum, embedding short- and long-term positioning in the same line. The result is harder for one arbitrary length choice to distort.

Which smoothing settings should I start with?

Raw output shows the concept most clearly; add pre-smoothing when you want the circles and color coding to stand out, and post-smoothing when the final line itself is too jittery.

Where can I get the Multi-Length Stochastic Average?

It is free through the LuxAlgo Library — and from this page you can have Quant, LuxAlgo's AI, run it while you experiment with the smoothing inputs.