Direct answer
A worked example of Woodie Pivots is a fully numerical calculation where you start with prior-period values (open, high, low, close), apply the Woodie Pivot formulas step by step, and then compute the resulting pivot levels. To do this reliably, you must state every assumption: which “prior period” you use, how you round, and which exact formula variant your source assumes. Without those details, different platforms can produce different levels.
Mechanism or definition
Woodie Pivots are a type of pivot-point calculation that uses previous period price information to derive levels such as a central pivot and nearby support/resistance levels. The stable part of the method is that it is a deterministic set of arithmetic operations applied to prior open, high, low, and close.
Because pivot-point methods come in multiple variants, you should treat the “Woodie” part as a specific formula set. A typical structure is:
- Compute a pivot value from a weighted combination that includes the prior close.
- Use that pivot plus/minus adjustments based on the prior high–low range to produce several additional levels (often called supports/resistances).
Variable parts are anything that changes the inputs or definitions: what time frame defines the “prior period,” whether “session open” or “day open” is used, and how highs/lows are handled if markets have different trading hours.
Evidence or example
Below is one worked scenario using explicit assumptions. This is not live data; it is a self-contained arithmetic example.
Assumptions (state these before calculating):
- Prior period is one full trading day.
- Inputs come from that prior day: Open = 1.2000, High = 1.2050, Low = 1.1950, Close = 1.2020.
- Rounding rule: keep four decimal places at each step (no later rounding surprises).
- We use a commonly described Woodie-style pivot structure with the pivot based on a close-weighted combination and then supports/resistances based on high–low range.
Step 1: Compute the range
- Range = High − Low = 1.2050 − 1.1950 = 0.0100
Step 2: Compute a central pivot (illustrative Woodie-style approach)
- Let Pivot = (High + Low + 2×Close) / 4
- Pivot = (1.2050 + 1.1950 + 2×1.2020) / 4
- Pivot = (1.2050 + 1.1950 + 2.4040) / 4 = 4.8040 / 4 = 1.2010
Step 3: Compute example levels using the prior range Many pivot variants place levels at distances tied to the prior range. To keep the example transparent, we define two additional levels at one range unit away from the pivot:
- Level A = Pivot − Range/2 = 1.2010 − 0.0100/2 = 1.2010 − 0.0050 = 1.1960
- Level B = Pivot + Range/2 = 1.2010 + 0.0050 = 1.2060
Result of this scenario:
- Central pivot (Pivot) = 1.2010
- Example downside level (Level A) = 1.1960
- Example upside level (Level B) = 1.2060
How to independently verify:
- Recompute Range = High − Low from the inputs you choose.
- Recompute Pivot using the exact pivot formula variant you claim is “Woodie” in your reference.
- Recompute each derived level using the same adjustments and the same rounding rule.
- If your platform shows different numbers, the difference is usually due to a different formula variant, different period boundaries, or different rounding.
Limitations and risks
- Formula ambiguity across providers: Woodie Pivots are not one universally identical formula set. If a platform uses a different weighting or different level definitions, your recomputation will not match.
- Market conditions can change: Pivot levels are derived from historical range. When the next period’s range expands, collapses, or trends strongly, levels may be crossed repeatedly without forming a reliable pattern.
- Data and boundary differences matter: Using different session definitions (for example, which hours define the day) changes High/Low/Open/Close inputs.
- Costs and execution are not included: Pivot calculations do not incorporate spreads, slippage, commissions, or execution delays. Those can materially affect real outcomes.
- Rounding and precision: Small differences in decimal handling can shift levels, especially on instruments quoted with different tick sizes.
Verification or next question
If you want to verify Woodie Pivots for your own use, the most reliable next step is to take your platform’s stated formulas (or your own chosen formula variant), then run a scenario like the one above using identical inputs and rounding rules.