# Hilbert Transform Phasor Components

`D09-F06-A03` · Statistical Time Series → Hilbert and Ehlers Cycle Analytics · archetype `record-transform` · difficulty 2/5 · verification **verified**

Full page: https://docs.thefintechbuilder.com/statistical-time-series/hilbert-and-ehlers-cycle-analytics/hilbert-transform-phasor-components/
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 { hilbertTransformPhasorComponents } from "fintech-algorithms/statistical-time-series/hilbert-and-ehlers-cycle-analytics/hilbert-transform-phasor-components";
```

## Signature

```ts
hilbertTransformPhasorComponents(input)
```

Exposes the raw phasor behind the Hilbert cycle family: the in-phase component, its quadrature partner from the four-tap filter, and the amplitude and angle they form. Any contract failure is rethrown as an `Error` whose message begins `topic calculation failed: `.

## Parameters

| Name | Type | Required | Notes |
| --- | --- | --- | --- |
| `input` | `TopicInput` | yes | `bars` is a non-empty array of rows with `timestamp`, `open`, `high`, `low`, `close` and `volume`, strictly ordered by timestamp. The cycles family reads one key from `parameters`, `period`, defaulting to 20 and required to be an integer of at least 4; it is validated for this topic but its arithmetic never uses it. |

## Returns

`TopicResult`

Four series, each mirrored in `latest`: `in_phase` is the detrended value lagged two bars, `quadrature` is the four-tap combination of the last four detrended values, `amplitude` is the Euclidean length of the two, and `phase` is their `atan2` angle in radians. `parameters` echoes the supplied parameters and `diagnostics` reports `causal` and `input_count`. All four share the same warm-up of six leading nulls, so `ready_at` is 6.

## Warm-up

The first `6` positions are `null`. The 4-bar EMA of `close` first resolves at index 3, and the quadrature filter reads the detrended value at the current bar plus the three before it, so all four series begin together at index 6.

## Errors

- When `parameters.period` is present but is not an integer of at least 4 — throws Error
- When `bars` is empty, a `timestamp` is missing or not strictly increasing, an OHLCV field is not finite, `volume` is negative, or `high` and `low` do not bracket `open` and `close` — 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
hilbertTransformPhasorComponents(input)
```

### Returns

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

```json
{
  "topic_id": "D09-F06-A03",
  "title": "Hilbert Transform Phasor Components",
  "state": "calculated",
  "ready": true,
  "ready_at": 6,
  "series": {
    "in_phase": [null, null, null, null, null, null],
    "quadrature": [null, null, null, null, null, null],
    "amplitude": [null, null, null, null, null, null],
    "phase": [null, null, null, null, null, null]
  },
  "latest": {
    "in_phase": -0.8607335347476948,
    "quadrature": 0.16777396655856047,
    "amplitude": 0.8769323358697945,
    "phase": 2.9490866862859964
  },
  "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/statistical-time-series/hilbert-and-ehlers-cycle-analytics/hilbert-transform-phasor-components/
- Implementation source: https://github.com/IslamBaraka90/Fintech-Algorithms-Library/blob/main/src/statistical-time-series/hilbert-and-ehlers-cycle-analytics/hilbert-transform-phasor-components/impl.ts
- Package on npm: https://www.npmjs.com/package/fintech-algorithms
- Domain index for agents: https://docs.thefintechbuilder.com/statistical-time-series/llms.txt