FactorExposureChart
Read a market, a risk or a return, with the axis and the tooltip wired for the job.
@luc/ui/chartsWhat it shows
Compare signed factor exposures and their uncertainty around a meaningful zero baseline.
Live preview
Signed exposures on a zero-centred axis, computed by your risk model and handed over as numbers.
<FactorExposureChart
factors={[
{ label: "Market", value: 0.86 },
{ label: "Value", value: 0.31 },
{ label: "Momentum", value: -0.22 },
{ label: "Quality", value: 0.44 },
{ label: "Size", value: -0.15 },
{ label: "Low vol", value: 0.12 },
]}
format={{ kind: "number", decimals: 2, signed: true }}
height={320}
ariaLabel="Factor exposures"
/>Controls
Height
A chart measures its container, so it always needs a definite height.
State
The surface the chart is in — loading, empty and error are drawn by the component.
Accessible name
A drawing is not readable by a screen reader, so it needs a name that states what it shows.
The same fixture as the live preview above; the controls change how it is drawn, not what it measures.
Code
import { FactorExposureChart } from "@luc/ui/charts";
<FactorExposureChart
factors={[
{ label: "Market", value: 0.86 },
{ label: "Value", value: 0.31 },
{ label: "Momentum", value: -0.22 },
{ label: "Quality", value: 0.44 },
{ label: "Size", value: -0.15 },
{ label: "Low vol", value: 0.12 },
]}
format={{ kind: "number", decimals: 2, signed: true }}
height={320}
ariaLabel="Factor exposures"
state="ready"
/>Not controllable here
series / rows— The numbers are the caller's; the fixture above is the example.
Copy for an AI agentA specification an agent can act on: the import, the setup, the chosen props, the data contract and the accessibility expectation.
Implement `FactorExposureChart` from Luc UI. It is: Read a market, a risk or a return, with the axis and the tooltip wired for the job.
Import it with: import { FactorExposureChart } from "@luc/ui/charts";
Requires: react ^19.0.0; react-dom ^19.0.0; react-hook-form ^7.0.0 (optional, for @luc/ui/forms/react-hook-form); tailwindcss ^4.0.0; node >= 22 (repository tools). Import the stylesheet once at the app root and wrap the tree in `LucProvider`. Both come from the package that publishes @luc.
Chosen configuration: `height={320}`, `state="ready"`, `ariaLabel="Factor exposures"`.
Accessibility: keep the component's own semantics. Do not re-implement its ARIA wiring, do not add roles it does not declare, and make sure every interactive element is reachable and operable from the keyboard with a visible focus state.
Styling: use Luc UI design tokens and the component's own props. Do not restyle with raw colour literals and do not override the component's internal structure with page CSS.
Motion: respect `prefers-reduced-motion`. The component already does, so do not disable it.
Reproduce this state:
```tsx
<FactorExposureChart
factors={[
{ label: "Market", value: 0.86 },
{ label: "Value", value: 0.31 },
{ label: "Momentum", value: -0.22 },
{ label: "Quality", value: 0.44 },
{ label: "Size", value: -0.15 },
{ label: "Low vol", value: 0.12 },
]}
format={{ kind: "number", decimals: 2, signed: true }}
height={320}
ariaLabel="Factor exposures"
state="ready"
/>
```Usage
The values are prepared by the caller: this component draws the points it is given and computes no statistic of its own, so units, scaling and any summary have to be settled before the data reaches it.
It is drawn by the ECharts engine.
Worked examples with real data are on the family overview: Financial & quantitative
import { FactorExposureChart } from "@luc/ui/charts";<FactorExposureChart
factors={[
{ label: "Market", value: 0.86 },
{ label: "Value", value: 0.31 },
{ label: "Momentum", value: -0.22 },
{ label: "Quality", value: 0.44 },
{ label: "Size", value: -0.15 },
{ label: "Low vol", value: 0.12 },
]}
format={{ kind: "number", decimals: 2, signed: true }}
height={320}
ariaLabel="Factor exposures"
/>Data contract
`factors` contain `label`, signed `value` and, when available, `lower`/`upper` interval bounds. The exposures come from the caller's risk model.
Important configuration
Use a signed `format`, keep the zero baseline, and label the estimation window and interval method in the surrounding copy.
Guidelines
When not to use
Do not treat a positive exposure as inherently good or a negative one as bad; the sign names direction, not quality.
Configuration
| Export | Kind | Signature |
|---|---|---|
FactorExposureChart | 12 documented props | ({ factors, format, title, description, state, height, className, ariaLabel, ariaDescription, onReady, onEvent, eager, }: FactorExposureChartProps) => import("@types/react").JSX.Element |
FactorExposureChart props
Type: FactorExposureChartProps
Values the compiler reads from the declaration.
| Prop | Type | Default | Notes |
|---|---|---|---|
ariaDescription? | string | undefined | — | |
ariaLabel? | string | undefined | — | |
className? | string | undefined | — | |
description? | string | undefined | — | |
eager? | boolean | undefined | — | Create the engine on mount rather than when the surface is approached. |
factors | readonly { label: string; value: number; }[] | — | |
format? | ChartFormat | undefined | — | Zero-centred by default: an exposure is a signed quantity. |
height? | string | number | undefined | — | |
onEvent? | ((event: EChartEvent) => void) | undefined | — | |
onReady? | ((chart: EChartsInstance) => void) | undefined | — | |
state? | ChartState | undefined | — | |
title? | string | undefined | — |
Accessibility
A chart is a picture of data, so it needs a name that states what it shows, and the numbers must exist as text somewhere on the page — in a table or a written summary — because a drawing is not readable by a screen reader and cannot be copied.
What happens on the server, and when hydration changes it.
Family
Financial & quantitative
Presentation only: not one metric here is computed by the library.
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