What Is a Worked Example of an Inverted Hammer? (With Assumptions)

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

Definition: what “Inverted Hammer” means

An Inverted Hammer is a single candlestick pattern characterized by the candle’s shape. In plain terms, it is a candle where:

  • The real body (open-to-close range) is small and sits near the lower end of the candle’s total range.
  • The upper wick (high minus the highest traded/printed point of the wick) is long, showing that price reached higher levels during the period.
  • The lower wick is short or absent, meaning price did not spend much time much lower than the body.

A common interpretation focus is the “upper probe” (the long upper wick). However, the same shape can occur for different reasons, so it is more accurate to treat it as a descriptive measurement of candle geometry than as a stand-alone prediction.

Mechanism: how the worked example is constructed

Because no real-time prices are used, the goal of the worked example is to show how you can identify an Inverted Hammer from assumed numbers.

Assumptions for the example

  • Each candlestick represents one fixed time period (for example, 1 hour), but the method works the same conceptually for other periods.
  • We are using assumed OHLC values: Open, High, Low, Close.
  • A “long upper wick” and a “small body” are determined using simple ratios. These thresholds are choices you can verify independently:
    • Body size = |Close − Open|
    • Total range = High − Low
    • Upper wick = High − max(Open, Close)
    • “Small body” condition: Body size ≤ 0.25 × Total range
    • “Long upper wick” condition: Upper wick ≥ 0.50 × Total range
    • “Body near low” condition: min(Open, Close) − Low ≤ 0.10 × Total range

Worked numerical example (assumed OHLC)

Assume a candle with:

  • Open = 1.2000
  • Close = 1.2020
  • High = 1.2075
  • Low = 1.1995

Now compute the measures:

  1. Body size = |1.2020 − 1.2000| = 0.0020
  2. Total range = 1.2075 − 1.1995 = 0.0080
  3. Upper wick = 1.2075 − max(1.2000, 1.2020) = 1.2075 − 1.2020 = 0.0055
  4. Body near low check:
    • min(Open, Close) − Low = 1.2000 − 1.1995 = 0.0005

Convert to proportions:

  • Body size / Total range = 0.0020 / 0.0080 = 0.25 (meets the “≤ 0.25” threshold)
  • Upper wick / Total range = 0.0055 / 0.0080 ≈ 0.6875 (meets “≥ 0.50”)
  • (min(Open, Close) − Low) / Total range = 0.0005 / 0.0080 = 0.0625 (meets “≤ 0.10”)

What this tells you (mechanics only)

Under these explicitly stated thresholds, the candle’s geometry matches an Inverted Hammer description:

  • Small body near the low,
  • Long upper wick,
  • Short lower wick (implicitly, because the low is close to the body).

Importantly, this is a classification by shape using stated arithmetic, not a guarantee of any later movement.

Limitations and risks: what can fail, and what you can verify

1) Context dependence

The same candle shape can appear in different market conditions. A description of geometry does not automatically explain why the upper wick formed, and it does not replace a check of broader price behavior.

2) Threshold choice is subjective

Whether a body is “small” or a wick is “long” depends on the rules you pick. In the example, we used 0.25 and 0.50 ratios. Another person could use different thresholds and classify the same candle differently.

3) Data differences (feeds, spreads, and execution)

Measured OHLC values can vary across data sources and platforms. Even if your candle is “inverted hammer” by one feed’s prints, another feed may show slightly different highs/lows. In live trading, costs such as spreads and execution quality can also affect what happens after a candle closes; therefore historical candle shapes do not ensure future outcomes.

4) Failure mode: mistaking a wick for a durable shift

A long upper wick shows intraperiod probing, but it does not prove that buyers gained control afterward. Price can reject the higher level and move back down.

Verification and next question

To independently verify the classification, repeat the arithmetic from the assumed OHLC:

  • Compute body size, total range, and upper wick.
  • Check whether your chosen thresholds match (or decide to change them and see how the classification changes).

A practical next question to pursue is: **How does the same candle behave in different prior conditions (for example, after different recent highs/lows)?

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