Z Score Probability Indicator Strategy

Use the Z Score Probability Indicator alongside a moving average to identify impulse and divergence trading opportunities. Catch trends and reversals effectivel

Published · Updated · Methodology: Technical Indicators

Part of: Moving Average Strategies

  • Methodology: Technical Indicators
  • Content type: strategy

Indicators used

  • Z Score Probability Indicator
  • Simple Moving Average

Source video

Decoded from: Unknown by Unknown — watch the original

Key timestamps:

  • 0:00 - Introduction to Z Score Probability Indicator
  • 1:10 - Components of Z Score Indicator (Histogram, ZSM, Scale)
  • 2:49 - Z Score Impulse Strategy
  • 4:45 - Z Score Divergence Strategy
  • 7:58 - Z Score Confluence Strategy

Strategy overview

A z-score states how far a reading sits from its own average in standard deviations, which makes it a normalizing measure rather than a directional one. What makes this entry unusual among moving-average pages is where the average actually lives: the line that defines this indicator is not drawn on price at all, but over the z-score itself — a smoothing applied to a statistic — while price's own long-horizon average shows up much later, and only as a second opinion.

The source material is an anthology rather than a single setup. Its chapter list moves from the indicator's construction — a histogram, a smoothed line over it, and a fixed scale read in standard-deviation units — into three separate plays built on the same measure: an impulse reading, a divergence reading, and a confluence reading. The running order is doing the arguing. Impulse treats an extreme value as an event in its own right; divergence treats disagreement between the statistic and price as the signal; and only the third variant brings in an outside reference at all. The moving average on price, in other words, is the last ingredient added rather than the organizing idea, and it arrives to confirm rather than to trigger.

Several things this page cannot tell you, and should not pretend to. The video's title and channel were not recorded, so the material is unattributed; no instrument, period, or dataset is stated; no timeframe is filed; and no mechanical rule set was decoded from it. What is on offer here is the concept and the shape of the video's argument — three escalating ways to read one normalized measure — not a specification you could hand to a backtester. It is also worth knowing that the indicator is a community-published tool, credited to 'stever steves', rather than a platform built-in.

Topics

z score indicator · trading strategy · technical indicators · reversal strategy · trend following strategy · momentum trading · overbought oversold · tradingview strategy · pine script

Frequently asked questions

What does a z-score measure in a trading indicator?

A z-score expresses how far a current reading sits from its own average, expressed in standard deviations. That turns raw market behavior into a bounded, comparable number: values near zero are ordinary, and values far from zero are statistically unusual. Note that unusual is not the same as directional — the measure flags magnitude of deviation, not which way price will resolve.

Where does a moving average fit into a z-score strategy?

In two distinct places, which is easy to conflate. One is a smoothing line drawn over the z-score itself, so you are averaging a statistic rather than averaging price. The other is a conventional price-based average used as an independent reference. In this entry only the confluence variant uses the second kind.

What are impulse, divergence, and confluence in this context?

They are the three approaches the source video presents on top of the same indicator, in that order. Impulse reads an extreme value as an event by itself; divergence reads a disagreement between the statistic and price as the signal; confluence requires agreement with a separate reference before acting. Each is a different standard of evidence applied to the same measure.

Is there a full rule set for this strategy?

No. No mechanical rules were decoded from this source, and no instrument, period, dataset, or timeframe is stated, so this entry is best treated as conceptual background rather than an executable setup. Strategy Decoder extracts structure from video sources where the material supports it; where it does not, as here, the entry says so instead of filling the gap.

About this strategy page

This trading strategy was decoded by Strategy Decoder's AI from a public YouTube trading video and turned into a structured, reviewable specification. In the interactive app this page shows the full entry and exit logic, risk management settings, the indicators involved with their parameters, AlgoWizard-compatible logic and a Pine Script export ready for TradingView backtesting — plus an automated backtest verdict when one has been computed for this strategy.

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