Rascasse Audience Intelligence

Algorithmic trading Audience in United States

A data profile of the people who buy, follow and care about Algorithmic trading in United States — modelled from more than twelve digital signal sources. Algorithmic trading has an estimated audience of 1,821,278 people in United States.

#6642among Topic in United States#1133in Business & Career

The average Algorithmic trading fan in United States is 34.6 years old, more male, and lives primarily in California.

The audience is concentrated in California, Texas, New York.

Top brand affinities include Derivative (finance), E-Trade, Forex Online Trading, with strongest over-indexing on Derivative (finance) (50.22× the country average).

Demographically, the Algorithmic trading audience skews more male with an average age of 34.6, and over-indexes on personality traits such as Risk Appetite, Sustainability.

Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.

The typical Algorithmic trading fan in United States is more male, around 34.6 years old, with strong Risk Appetite tendencies and a notable affinity for Derivative (finance).

Category: Business & Career · Type: Topic

The data on this page comes from the Rascasse audience panel and is refreshed monthly from search, social and browsing signals. As of 2026-08-10.

Section 01

At a glance

The key figures that characterise the Algorithmic trading profile in United States.

Audience size
1.8M
in United States
Gender
34.0%♀
66.0% male
Age
34.6
average years
Country rank
#15318
Topic in United States
Fig. 01

Search interest · 12-month trend

-60%
vs. last year
JanMarMayJulSepNov
Monthly searches · Source: Rascasse Audience Intelligence
Section 02

Demographics of Algorithmic trading fans

34.0% are female, 66.0% are male, average age 34.6.

Fig. 02

Gender split

34.0%
Female
66.0%
Male
Demographic split for Algorithmic trading audience in United States
MetricValue
Female34.0%
Male66.0%
Average age34.6
Estimated audience size1,821,278
Fig. 03

Age distribution

Ø 34.6
average years
Age distribution of the Algorithmic trading audience in United States
Age bracketShare%
16-1934%
20-2920%
30-3916%
40-4914%
50+15%
Fig. 04

Worldwide distribution

9.3%

of the worldwide Algorithmic trading audience comes from United States.

Worldwide audience distribution share by country for Algorithmic trading
CountryShare
India39.1%
United States9.3%
Saudi Arabia4.1%
Section 03
Affinity (×) = how much more likely a member of this audience is to live in a region than the United States average. Example: 2.0× means twice as concentrated as the national baseline.

Geography

Where the Algorithmic trading audience in United States is strongest.

Fig. 05

Top regions by affinity

Algorithmic trading fans by region: top regions in United States
#RegionReachAffinity×
01Nevada~30K1.81×
02New York~200K1.75×
03New Jersey~70K1.58×
04Massachusetts~50K1.44×
05Connecticut~20K1.27×
06California~300K1.26×
07Washington~50K1.24×
08Florida~200K1.23×
09Washington, District of Columbia~7K1.22×
10Georgia~70K1.19×
11Illinois~70K1.18×
12Virginia~50K1.16×
13Texas~200K1.14×
14Colorado~30K1.12×
15Hawaii~9K1.12×
16North Carolina~60K1.06×
17Maryland~30K1.05×
18Tennessee~40K1.02×
19North Dakota~4K1.02×
20Delaware~5K1.01×
21Alaska~4K1.01×
22Pennsylvania~60K1.00×
23Arizona~40K0.99×
24Utah~20K0.99×
25Rhode Island~6K0.98×
26Vermont~3K0.98×
27Oregon~20K0.95×
28New Hampshire~7K0.95×
29South Dakota~4K0.95×
30Montana~5K0.93×
31Wisconsin~30K0.92×
32Arkansas~10K0.92×
33Missouri~30K0.91×
34Maine~6K0.91×
35Oklahoma~20K0.90×
36Kansas~10K0.90×
37Idaho~8K0.90×
38Nebraska~8K0.90×
39West Virginia~8K0.89×
40Michigan~40K0.88×
41Indiana~30K0.88×
42Louisiana~20K0.88×
43Mississippi~10K0.88×
44Minnesota~20K0.86×
45Alabama~20K0.86×
46Iowa~10K0.86×
47New Mexico~8K0.86×
48South Carolina~20K0.85×
49Ohio~50K0.84×
50Kentucky~20K0.82×
Fig. 06

Affinity by region

Affinity by region — Algorithmic trading, United States
0.82×1.00×1.81×
Section 04
Brands and entities this audience over-indexes on, vs. the country average.

Audience interests & affinities

The strongest cross-interests of the Algorithmic trading audience — brands, topics and people combined.

Fig. 07

Top cross-interests, ranked by affinity

Top brand affinities (over-index vs. country average) for Algorithmic trading audience
#·InterestCategoryAffinity×
01Forex Online TradingBusiness & Career53.68×
02Derivative (finance)Business & Career50.22×
03Commodity marketBusiness & Career37.42×
04Futures exchangeBusiness & Career36.08×
05LitecoinBusiness & Career34.44×
06E-TradeBusiness & Career25.24×
07Data visualizationTechnology & Electronics23.65×
08Business intelligenceBusiness & Career23.23×
09Swing tradingBusiness & Career20.92×
10Sustainable energyHome & Garden12.53×
11Asset managementBusiness & Career11.81×
12Stock marketBusiness & Career10.90×
13Business schoolBusiness & Career10.67×
14Renewable energyBusiness & Career8.93×
15LinkedInInternet & Social Media8.36×
16Tesla MotorsCars & Mobility7.59×
17InnovationBusiness & Career7.35×
18FedExBusiness & Career5.56×
19Mortgage loansBusiness & Career5.27×
20Bank of AmericaBusiness & Career5.25×
Section 05
Top six personality traits over-indexed by this audience (1.0 = country average).

Personality of the Algorithmic trading audience

Values above 1.00× are above the country average, values below 1.00× below it.

Fig. 08

Deviation from the national baseline

↑ What stands out
The strongest tendencies
Top personality traits over-indexed by Algorithmic trading audience · What stands out
TraitClusterDeviationScore
Risk AppetiteTHRILL3.61×
SustainabilityBALANCE3.24×
Career OrientationPOWER2.73×
0×1.00× baseline2×
↓ Rather not
The weakest tendencies
Top personality traits over-indexed by Algorithmic trading audience · Rather not
TraitClusterDeviationScore
ExtroversionTHRILL0.52×
CreativityOPEN0.55×
Pet OwnershipJOY0.78×
0×1.00× baseline2×
Section 06

Frequently asked questions

01

How many fans does Algorithmic trading have in United States?

Algorithmic trading has an estimated audience of 1,821,278 people in United States, concentrated in California and Texas.

02

What is the gender split and age of Algorithmic trading fans?

34.0% of Algorithmic trading fans are female, 66.0% are male, with an average age of 34.6 years.

03

Which brands do Algorithmic trading fans like most?

Algorithmic trading fans show strongest brand affinity for Derivative (finance) (50.22×), E-Trade (25.24×), and Forex Online Trading (53.68×) over the country average.

04

Where do Algorithmic trading fans live in United States?

Algorithmic trading fans in United States are most concentrated in California (reach ~300K), Texas (reach ~200K), and New York (reach ~200K). These three regions account for the largest share of the active audience.

05

What other brands do Algorithmic trading fans also like?

Beyond Algorithmic trading itself, the audience over-indexes on E-Trade (25.24×), Forex Online Trading (53.68×), Sustainable energy (12.53×), and Commodity market (37.42×) compared to the United States average.

Appendix

Explore more audiences

Related profiles, rankings and the same audience in other markets.

More Business & Career audiences in United States

See Algorithmic trading audiences in other countries

How to read this data

Audience size is the estimated number of people in United States who actively search for Algorithmic trading. Affinity is an over-index ratio: 2.0× means the audience is twice as likely to engage with that brand or trait as the country average. Reach is the estimated number of audience members in a region. Regional and brand-affinity tables are sorted from strongest signal to weakest.

About this audience profile

This audience profile is generated by Rascasse from anonymized search-behavior signals across United States. For methodology see methodology. Affinity values are over-index ratios vs. the country average (1.0 = baseline). Audience sizes are estimated, not measured.

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