# Woodie Pivot Points

`D08-F01-A08` · Geometric Chart Patterns → Pivots and Levels · archetype `record-transform` · difficulty 2/5 · verification **verified**

Full page: https://docs.thefintechbuilder.com/geometric-chart-patterns/pivots-and-levels/woodie-pivot-points/
Agent skill: `npx skills add IslamBaraka90/Fintech-Algorithms-Library` — https://docs.thefintechbuilder.com/guides/agent-skill/

## Install and import

```bash
npm install fintech-algorithms
```

```ts
import { woodiePivotPoints } from "fintech-algorithms/geometric-chart-patterns/pivots-and-levels/woodie-pivot-points";
```

## Signature

```ts
woodiePivotPoints(input)
```

Weights the current bar's open into the pivot, `(H_prev + L_prev + 2 × open) / 4`, then derives `r1`/`s1` by reflecting that pivot across the previous low and high and `r2`/`s2` by adding and subtracting the previous bar's range.

## Parameters

| Name | Type | Required | Notes |
| --- | --- | --- | --- |
| `input` | `TopicInput` | yes | `bars` is the required OHLCV history, strictly ordered by `timestamp` and on a single adjustment basis. This variant reads no keys from `parameters`, though `period` (default `20`) is still validated as an integer of at least 2 if supplied. Note that the current bar's `open` is an input, so a Woodie level is only knowable once that bar has opened. |

## Returns

`TopicResult`

`series` and `latest` carry `pivot`, `r1`, `s1`, `r2` and `s2`. The warm-up is one bar, since the previous bar's high and low are required.

## Warm-up

The first `1 bar` positions are `null`. Index 0 is null across all five series; `ready_at` is 1 for any input of two or more bars.

## Errors

- When a bar's `open` is not a finite number — throws Error
- When `period` is supplied as a non-integer or as a value below 2 — throws Error

## Complexity

Time `O(n)`, space `O(n)`.

## Worked example

Captured by running this function on the input its own test provides. Real output of real code — but not asserted against a published figure.

### Input

`input`:

```json
{
  "bars": [
    {
      "timestamp": "2024-01-02",
      "basis": "synthetic-unadjusted",
      "open": 100,
      "high": 101.45,
      "low": 98.695,
      "close": 100,
      "volume": 750000,
      "benchmark": 200
    },
    {
      "timestamp": "2024-01-03",
      "basis": "synthetic-unadjusted",
      "open": 101.49111452,
      "high": 103.38381693,
      "low": 100.05480022,
      "close": 101.78791214,
      "volume": 795117,
      "benchmark": 200.56326135
    },
    {
      "timestamp": "2024-01-04",
      "basis": "synthetic-unadjusted",
      "open": 102.45519048,
      "high": 104.6701838,
      "low": 100.91147007,
      "close": 102.9549389,
      "volume": 840234,
      "benchmark": 201.11020913
    }
  ],
  "parameters": {}
}
```

### Call

```ts
woodiePivotPoints(input)
```

### Returns

object with 9 fields: topic_id, title, state, ready, ready_at, series, latest, parameters, …

```json
{
  "topic_id": "D08-F01-A08",
  "title": "Woodie Pivot Points",
  "state": "calculated",
  "ready": true,
  "ready_at": 1,
  "series": {
    "pivot": [
      null,
      100.78180726,
      102.0872495275,
      102.73921493750001,
      102.731586585,
      102.41151329
    ],
    "r1": [
      null,
      102.86861452,
      104.11969883500001,
      104.56695980500002,
      104.38323327,
      104.02561111
    ],
    "s1": [
      null,
      100.11361451999998,
      100.79068212500002,
      100.80824607500001,
      100.44459821000001,
      100.19561503
    ],
    "r2": [
      null,
      103.53680726,
      105.4162662375,
      106.49792866750002,
      106.670221645,
      106.24150937
    ],
    "s2": [
      null,
      98.02680725999998,
      98.75823281750002,
      98.9805012075,
      98.792951525,
      98.58151721
    ]
  },
  "latest": {
    "pivot": 100.97966492500001,
    "r1": 101.92347110000001,
    "s1": 98.80224730000002,
    "r2": 104.100888725,
    "s2": 97.85844112500001
  },
  "parameters": {},
  "diagnostics": {
    "causal": true,
    "input_count": 96
  }
}
```

## Verification and provenance

Tier: **verified** (via E).

The worked example below is the figure published in this algorithm's article, replayed and asserted by the test suite on every build. The arithmetic cannot drift without the build failing.

Both tiers guarantee the signature. Full explanation: https://docs.thefintechbuilder.com/guides/verification/

Generated from the docs.json payload shipped inside fintech-algorithms@0.13.0.
The signature and parameter list are checked against the compiled implementation at build time,
so a description that contradicts the code fails the build rather than reaching this file.

## Links

- Article (how it works, step by step): https://thefintechbuilder.com/geometric-chart-patterns/pivots-and-levels/woodie-pivot-points/
- Implementation source: https://github.com/IslamBaraka90/Fintech-Algorithms-Library/blob/main/src/geometric-chart-patterns/pivots-and-levels/woodie-pivot-points/impl.ts
- Package on npm: https://www.npmjs.com/package/fintech-algorithms
- Domain index for agents: https://docs.thefintechbuilder.com/geometric-chart-patterns/llms.txt