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The Financial Times Stock Exchange 100 Index, also called the FTSE 100 Index, FTSE 100, FTSE or, informally, the "Footsie" /ˈfʊtsi/, is the United Kingdom's best-known stock market index and represents the 100 most highly capitalised blue chips listed on the London Stock Exchange.
The analysis highlights History, Measurement and Companies as prominent areas in the source structure around FTSE 100 Index.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around FTSE 100 Index shows recurring relationship patterns in the source. For example, FTSE 100 Index → Financial Times, FTSE, FTSE Russell, In, Index, It, London Stock Exchange, London Stock Exchange Group, Over, The, The FTSE, Total Return Index, UK, UKX Another extracted example is FTSE 100 Index → FTSE 250 Index, FTSE 350 Index, FTSE AIM UK 50 Index, FTSE All-Share Index, FTSE Fledgling Index, FTSE SmallCap Index. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
index ftse market 100 companies stock financial exchange value capitalisation london trading uk times 30 constituents new price futures ft
TTTA extracted 31 structured relationships around FTSE 100 Index. Examples in this analysis include FTSE 100 Index → Bloomberg → UKX:IND and FTSE 100 Index → Constituents → 100 (June 2026). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| FTSE 100 Index | Bloomberg | UKX:IND | 1.00 | infobox |
| FTSE 100 Index | Constituents | 100 (June 2026) | 1.00 | infobox |
| FTSE 100 Index | Exchanges | London Stock Exchange | 1.00 | infobox |
| FTSE 100 Index | Foundation | 3 January 1984 | 1.00 | infobox |
| FTSE 100 Index | Market cap | £2.492 trillion (June 2026) | 1.00 | infobox |
| FTSE 100 Index | Operator | FTSE Russell | 1.00 | infobox |
| FTSE 100 Index | Related indices | FTSE 250 Index | 1.00 | infobox |
| FTSE 100 Index | Related indices | FTSE 350 Index | 1.00 | infobox |
| FTSE 100 Index | Related indices | FTSE SmallCap Index | 1.00 | infobox |
| FTSE 100 Index | Related indices | FTSE All-Share Index | 1.00 | infobox |
| FTSE 100 Index | Related indices | FTSE Fledgling Index | 1.00 | infobox |
| FTSE 100 Index | Related indices | FTSE AIM UK 50 Index | 1.00 | infobox |
| FTSE 100 Index | Reuters | .FTSE | 1.00 | infobox |
| FTSE 100 Index | Trading symbol | UKX | 1.00 | infobox |
| FTSE 100 Index | Type | Large-cap | 1.00 | infobox |
| FTSE 100 Index | Website | official website | 1.00 | infobox |
| FTSE 100 Index | Weighting method | Capitalisation-weighted | 1.00 | infobox |
The concept neighborhoods around FTSE 100 Index bring nearby vocabulary together. In this analysis, examples include Ftse, Index and Stock. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For FTSE 100 Index, one of the stronger structural bridges in this analysis connects FTSE 100 Index with Past constituents. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around FTSE 100 Index to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Measurement & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — FTSE 100 Index · EN edition · Analysis: TopicsToTalkAbout