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Sector day-change ranking

Intraday day-change ranking across the sector ETFs so you can see which sectors are leading and lagging in a single view.

Sorted by intraday day-change with horizontal magnitude bars, so the leader and the laggard are visible without scrolling.

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What it covers

What this capability surfaces

A grounded list of the features and outputs the matching workspace surface delivers today. Each row below maps directly to the corresponding element of the live product — nothing is aspirational or invented.

Illustrative Capability View
  1. 01
    Day-change ranking

    Day-change percentage for each sector ETF in the covered set.

  2. 02
    Performance sort

    Sort by performance so the leading and lagging sectors sit at the top and bottom of the table.

  3. 03
    Magnitude bars

    Horizontal magnitude bars sized to the absolute move, coloured by direction.

  4. 04
    Sector card grid

    Price tile and data-source tile per sector.

  5. 05
    As-of timestamp

    As-of timestamp so you know which trading day the view reflects.

How it works

Inputs, analysis, outputs

A high-level description of how the capability goes from raw inputs to the outputs you see inside the workspace.

  1. 01Step 1

    Inputs

    Live quote data for the sector ETFs in the covered set.

  2. 02Step 2

    Analysis

    Day-change percentage is calculated from the previous close, with NaN or missing values surfaced as em-dashes rather than zeroed.

  3. 03Step 3

    Outputs

    A day-change ranking chart with horizontal bars plus a per-sector card grid showing symbol, price, and data source.

Illustrative Workspace View

See it in the workspace

Tactical playbooks for all 11 GICS sectors across 3 synchronized trading horizons in the Vantage Sector Intel workspace.

Sector day-change ranking

Illustrative workspace preview
Vantage Sector Playbook UI showing Norwegian Cruise Line Holdings.

Illustrative workspace view. Data and labels are shown for demonstration and research context only.

Example outputs

What a typical result looks like

Illustrative examples showing the kind of labels and values the workspace surface produces. Numbers shown are placeholders, not live recommendations.

  • IllustrativeSector ETFSymbol + sector name
  • IllustrativeDay changeIntraday percentage
  • IllustrativeDirectionPositive or negative magnitude
  • IllustrativePrice tileCurrent price per sector
  • IllustrativeSource tileData source attribution

Example values shown above are illustrative. The workspace always displays real values where the underlying data source is available.

ILLUSTRATIVE WORKSPACE SNAPSHOT

Illustrative sector context

Two balanced sector-group cards · qualitative labels only · no period returns.

Sector groups A–C

Three illustrative sector groups · qualitative labels.

Sector group A
Relative context
Above median
Factor tilt
Quality ↑
Sector group B
Relative context
Near median
Factor tilt
Value ↑
Sector group C
Relative context
Below median
Factor tilt
Momentum ↓

Sector groups D–E

Two illustrative sector groups · qualitative labels.

Sector group D
Relative context
Near median
Factor tilt
Quality ↑
Sector group E
Relative context
Above median
Factor tilt
Growth ↑

Illustrative research context only. It is not personalized investment advice, a recommendation, a price target, or a guarantee of future results.

Sector groups are placeholders. Directional labels describe illustrative factor context, not returns, forecasts, or allocation guidance.

Use it responsibly

Limitations and responsible-use disclosures

  • Sector Intel is a day-change snapshot, not a recommendation. Past sector performance does not predict future leadership.
  • A sector that leads one session can lag the next. Use this view alongside your portfolio context and risk profile.
  • Markets involve risk. Sector exposure should be set deliberately, not by chasing the day's leader.

This product provides information and research tools and does not provide personalized investment advice. Markets involve risk and losses are possible. You are responsible for your own investment decisions and the associated risk. Independently review any data, AI output, or rating before acting on it.

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