Find related topics. | Discover entities. | See connections. | Build a topical map.
Building topical map: Starting…
IEX: History, Companies & Measurement
The Investors Exchange (IEX; also known as the IEX Exchange) is a stock exchange in the United States. It was founded in 2012 in order to mitigate the effects of high-frequency trading (HFT). IEX was launched as a national securities exchange in September 2016. On October 24, 2017, it received regulatory approval from the U.S. Securities and Exchange…
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
More settings
IEX topic overview
The analysis highlights History, Companies and Measurement as prominent areas in the source structure around IEX.
Related topics
37
Source areas
4
Connected nodes
41
Extracted relationships
70
Concept neighborhoods
18
Bridge connections
41
What this topic covers Research coverage
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.
History · 15 topics
Exchange features · 14 topics
Overview · 6 topics
Key people · 2 topics
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.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Founded
2012
Owner
IEX Group, Inc.
Location
New York, New York (office), Weehawken, New Jersey (matching engine), United States
Currency
USD
Key people
Brad Katsuyama (CEO) Ronan Ryan (president)
Type
Stock exchange
Suggested research paths
A focused starting point derived from the topic graph, ranked independently of the source article order.
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
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.
How IEX connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around IEX shows recurring relationship patterns in the source. For example, IEX → After, American Stock Exchange, Companies, IEX Group Inc, In, June, Katsuyama, Morgan Stanley, Nasdaq, Nasdaq Inc, New York Stock Exchange, NYSE, October, Only Wynn Resorts Ltd, Sara Furber, SEC, The, The SEC, The Wall Street Journal Another extracted example is IEX → Brad Katsuyama, Caisse, Founded, Hudson River, IEX Group, IEX's, In, New Jersey, New York City, NYSE American, October, Québec, Ronan Ryan, SEC, Secaucus, The, This, Weehawken, World Trade Center. Use these groups to spot repeated connection types before inspecting the individual relationships.
IEX
Top relations
related to Federal approvals· 19
IEX → After, American Stock Exchange, Companies, IEX Group Inc, In, June, Katsuyama, Morgan Stanley, Nasdaq, Nasdaq Inc, New York Stock Exchange, NYSE, October, Only Wynn Resorts Ltd, Sara Furber, SEC, The, The SEC, The Wall Street Journal
related to Founding and first trading· 19
IEX → Brad Katsuyama, Caisse, Founded, Hudson River, IEX Group, IEX's, In, New Jersey, New York City, NYSE American, October, Québec, Ronan Ryan, SEC, Secaucus, The, This, Weehawken, World Trade Center
related to Operating principles· 9
IEX → Charging, Ensuring, Offering, Publishing, Refusing, Slightly, Strategies, The IEX, Wall Street
related to Broker priority· 5
IEX → Before, HFT, Instead, Katsuyama, When IEX
related to IEX Cloud· 5
IEX → API, Canadian, IEX Cloud, In August, US
related to Liquidity· 4
IEX → An, Flash Boys, HFT, Michael Lewis
Currency· 1
IEX → USD
Founded· 1
IEX → 2012
Key people· 1
IEX → Brad Katsuyama (CEO) Ronan Ryan (president)
Location· 1
IEX → New York, New York (office), Weehawken, New Jersey (matching engine), United States
Important terminology
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 70 structured relationships around IEX. Examples in this analysis include IEX → Currency → USD and IEX → Founded → 2012. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
IEX
Currency
USD
1.00
infobox
IEX
Founded
2012
1.00
infobox
IEX
Key people
Brad Katsuyama (CEO) Ronan Ryan (president)
1.00
infobox
IEX
Location
New York, New York (office), Weehawken, New Jersey (matching engine), United States
1.00
infobox
IEX
Owner
IEX Group, Inc.
1.00
infobox
IEX
Type
Stock exchange
1.00
infobox
IEX
Volume
334 million shares/day, market share 2.4% (February 24, 2021)
1.00
infobox
IEX
Website
iexexchange.io
1.00
infobox
IEX
related to Broker priority
Before
0.60
section
IEX
related to Broker priority
Instead
0.60
section
IEX
related to Broker priority
Katsuyama
0.60
section
IEX
related to Broker priority
HFT
0.60
section
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around IEX bring nearby vocabulary together. In this analysis, examples include Stock, Price and Orders. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
IEX
Stock
Price
Orders
Trading
Also
Group
Time
Exchanges
Order
October
Sec
Approval
iex
Stock
Price
Orders
Trading
Also
Group
Time
Exchanges
Order
October
Sec
Approval
stock exchange
First
Stock
Iex
List
Companies
York
Also
Said
Sec
Time
Approval
Investors
u.s. securities and exchange commission
First
Stock
Iex
List
Companies
Also
Said
Sec
Time
Approval
Investors
Flat
american stock exchange
First
Stock
Iex
List
Companies
York
Also
Said
Sec
Time
Approval
Investors
exchange features
First
Stock
Iex
List
Companies
Also
Said
Sec
Time
Approval
Investors
Flat
high-frequency trading
Speed
Dark
Traders
Venues
Hft
Orders
Delay
Group
York
Market
Price
Would
new york city
New
York
First
Stock
Trading
Data
Founded
Venues
Also
Engine
Group
Approval
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For IEX, one of the stronger structural bridges in this analysis connects IEX with History. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
IEX
Nodes42
Edges41
Triples70
Avg. degree1.95
Density0.047619
Components1
Source & methodology
TTTA analyzes the structure around IEX to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Companies & Measurement, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — IEX · EN edition · Analysis: TopicsToTalkAbout
For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.
