What Is a Worked Example of Support Resistance Range?

Explore What is a worked: mechanics, differences, limitations, and practical checks.

Definition of a support resistance range

A support resistance range is a price zone that is treated as having a tendency to slow down or reverse price movement. Instead of one exact number (a single “level”), the idea uses a band because markets do not usually respect perfect precision.

In practice, you choose a range by looking at repeated turning points: areas where price repeatedly approached and then slowed, paused, or moved away. The “support” side is the lower boundary tendency; the “resistance” side is the upper boundary tendency.

Assumption to keep this concept testable: you are not claiming the range is guaranteed. You are describing an observed tendency and using it for analysis, not prediction.

Mechanism: what “worked example” means

A worked example should make the inputs explicit. Here we will:

  1. Assume a set of historical turning points (because no real-time data is used here).
  2. Convert those turning points into a numeric zone.
  3. Define simple, observable interaction rules.
  4. Compute a small set of results that a reader can reproduce on paper.

Inputs (assumed)

  • Assume the instrument trades in a unit where price can be read to two decimals.
  • Assume the observed turning points for a given market are these five values (made up for demonstration):
    • Turning lows: 1.0980, 1.0995, 1.0988
    • Turning highs: 1.1050, 1.1038
  • Assume the range is centered using a practical buffer that accounts for typical “touching” behavior. For this example, assume a buffer of 0.0015.

Convert turning points into a support range

  • Support boundary tendency (lower side) is based on the lowest assumed turning low: 1.0980.
  • Using the buffer, define the support zone lower boundary and upper boundary as:
    • Support zone lower bound = 1.0980 − 0.0015 = 1.0965
    • Support zone upper bound = 1.0980 + 0.0015 = 1.0995

Convert turning points into a resistance range

  • Resistance boundary tendency (upper side) is based on the highest assumed turning high: 1.1050.
  • Define the resistance zone as:
    • Resistance zone lower bound = 1.1050 − 0.0015 = 1.1035
    • Resistance zone upper bound = 1.1050 + 0.0015 = 1.1065

Combine into one “support resistance range” band

Many traders describe one combined corridor. For this example, define the support-resistance range corridor as:

  • Corridor lower bound = 1.0965
  • Corridor upper bound = 1.1065

Worked example scenario (numerical checks)

Now assume that in a later observation window (again, hypothetical), you record four “touch events” with these prices:

  • Event A high/low: low 1.0992
  • Event B high/low: low 1.1010, high 1.1040
  • Event C high/low: high 1.1060
  • Event D high/low: low 1.0958, high 1.1022

Define interaction rules (assumptions)

To keep verification straightforward, assume:

  • An event “interacts with support zone” if any low is between 1.0965 and 1.0995.
  • An event “interacts with resistance zone” if any high is between 1.1035 and 1.1065.

Apply rules

  • Event A: low 1.0992 is within 1.0965–1.0995 ⇒ supports interaction = yes.
  • Event B: low 1.1010 is outside support zone, high 1.1040 is within 1.1035–1.1065 ⇒ resistance interaction = yes.
  • Event C: high 1.1060 is within 1.1035–1.1065 ⇒ resistance interaction = yes.
  • Event D: low 1.0958 is below 1.0965 (outside support zone) ⇒ support interaction = no.

What you can conclude from this example

In this hypothetical set, you observed:

  • Support interactions: 1 out of 4 events
  • Resistance interactions: 2 out of 4 events

A reader can verify the arithmetic and the zone membership logic independently. However, note the scope: this does not prove future behavior. It only shows how a support resistance range can be applied and checked with explicit rules.

Material limitations and failure modes

  1. Range boundaries can be arbitrary. In the example, the buffer (0.0015) is assumed. Different buffers create different zones and different “interaction” counts.

  2. False confidence from small samples. With only a few events, high apparent “respect” can be chance.

  3. Regime shifts break historical relationships. If volatility changes or market conditions shift, the same zone definition may no longer match how price behaves.

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