Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
The BEL 20 is the benchmark stock market index of Euronext Brussels. It tracks the performance of 20 most capitalized and liquid stocks traded in Belgium. In general, the index consists of a minimum of 10 and a maximum of 20 companies traded at the Brussels Stock Exchange. Since 20 June 2011, the BEL 20 has contained 20 listings, with the exception a…
The analysis highlights Companies, Rules and Overview as prominent areas in the source structure around BEL 20.
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 BEL 20 shows recurring relationship patterns in the source. For example, BEL 20 → At, BEL, Belgian, December, Euros, February, Friday, In, Its, March, May, The, The BEL, These Another extracted example is BEL 20 → BEL, Index, The. 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.
20 bel index market stock brussels euronext companies following traded annual performance 2018 constituents stocks minimum may capitalization-weighted cap ablynx
TTTA extracted 30 structured relationships around BEL 20. Examples in this analysis include BEL 20 → Constituents → 20 and BEL 20 → Exchanges → Euronext Brussels. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| BEL 20 | Constituents | 20 | 1.00 | infobox |
| BEL 20 | Exchanges | Euronext Brussels | 1.00 | infobox |
| BEL 20 | Foundation | 30 December 1990 | 1.00 | infobox |
| BEL 20 | Market cap | €287.5 billion (end 2018) | 1.00 | infobox |
| BEL 20 | Operator | Euronext | 1.00 | infobox |
| BEL 20 | Type | Large cap | 1.00 | infobox |
| BEL 20 | Website | www.euronext.com | 1.00 | infobox |
| BEL 20 | Weighting method | Capitalization-weighted | 1.00 | infobox |
| BEL 20 | is a | benchmark stock market index of Euronext Brussels | 0.90 | text |
| BEL 20 | is a | capitalization-weighted index | 0.90 | text |
| BEL 20 | related to Annual Returns | The | 0.60 | section |
| BEL 20 | related to Annual Returns | BEL | 0.60 | section |
The concept neighborhoods around BEL 20 bring nearby vocabulary together. In this analysis, examples include Following, Index and Capitalization-weighted. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For BEL 20, one of the stronger structural bridges in this analysis connects BEL 20 with Overview. 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 BEL 20 to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Companies, Rules & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — BEL 20 · EN edition · Analysis: TopicsToTalkAbout