A data profile of the people who buy, follow and care about Algorithmic trading in Germany — modelled from more than twelve digital signal sources. Algorithmic trading has an estimated audience of 543,680 people in Germany.
The average Algorithmic trading fan in Germany is 36.8 years old, balanced, and lives primarily in Nordrhein-Westfalen.
The audience is concentrated in Nordrhein-Westfalen, Bayern, Baden-Württemberg.
Top brand affinities include Derivative (finance), Commodity market, Passive income, with strongest over-indexing on Derivative (finance) (48.34× the country average).
Demographically, the Algorithmic trading audience skews balanced with an average age of 36.8, and over-indexes on personality traits such as Career Orientation, Risk Appetite.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 16 regions tracked by Rascasse.
The typical Algorithmic trading fan in Germany is balanced, around 36.8 years old, with strong Career Orientation tendencies and a notable affinity for Derivative (finance).
The key figures that characterise the Algorithmic trading profile in Germany.
46.7% are female, 53.3% are male, average age 36.8.
| Metric | Value |
|---|---|
| Female | 46.7% |
| Male | 53.3% |
| Average age | 36.8 |
| Estimated audience size | 543,680 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 27% | |
| 20-29 | 20% | |
| 30-39 | 17% | |
| 40-49 | 17% | |
| 50+ | 18% |
of the worldwide Algorithmic trading audience comes from Germany.
| Country | Share |
|---|---|
| India | 39.1% |
| United States | 9.3% |
| Saudi Arabia | 4.1% |
Where the Algorithmic trading audience in Germany is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Berlin | ~40K | 1.76× | |
| 02 | Hessen | ~60K | 1.51× | |
| 03 | Hamburg | ~20K | 1.34× | |
| 04 | Bremen | ~5K | 1.18× | |
| 05 | Bayern | ~100K | 1.17× | |
| 06 | Baden-Württemberg | ~80K | 1.02× | |
| 07 | Saarland | ~7K | 1.00× | |
| 08 | Brandenburg | ~20K | 0.94× | |
| 09 | Thüringen | ~10K | 0.93× | |
| 10 | Nordrhein-Westfalen | ~100K | 0.92× | |
| 11 | Sachsen-Anhalt | ~10K | 0.90× | |
| 12 | Mecklenburg-Vorpommern | ~9K | 0.89× | |
| 13 | Rheinland-Pfalz | ~20K | 0.88× | |
| 14 | Schleswig-Holstein | ~20K | 0.86× | |
| 15 | Sachsen | ~20K | 0.82× | |
| 16 | Niedersachsen | ~40K | 0.76× |
The strongest cross-interests of the Algorithmic trading audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Commodity market | Business & Career | 55.66× | ||
| 02 | Derivative (finance) | Business & Career | 48.34× | ||
| 03 | Non-fungible token | Technology & Electronics | 39.68× | ||
| 04 | Day trader | Business & Career | 31.67× | ||
| 05 | Passive income | Business & Career | 23.46× | ||
| 06 | Goldman Sachs | Business & Career | 20.00× | ||
| 07 | Money management | Business & Career | 18.95× | ||
| 08 | Amazon Web Services | Technology & Electronics | 16.13× | ||
| 09 | Asset management | Business & Career | 13.63× | ||
| 10 | Forex Online Trading | Business & Career | 13.51× | ||
| 11 | Warren Buffett | Business & Career | 13.18× | ||
| 12 | Stock market | Business & Career | 13.05× | ||
| 13 | Day trading | Business & Career | 12.82× | ||
| 14 | Swing trading | Business & Career | 12.81× | ||
| 15 | Newcastle United F.C. | Sports | 11.79× | ||
| 16 | Mortgage calculator | Home & Garden | 10.03× | ||
| 17 | Employment agency | Business & Career | 8.05× | ||
| 18 | Deutsche Bank | Business & Career | 5.54× | ||
| 19 | Internet & Social Media | 5.53× | |||
| 20 | Innovation | Business & Career | 4.24× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Career Orientation | POWER | 7.68× | |
| Risk Appetite | THRILL | 7.51× | |
| Social Media Usage | JOY | 1.93× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Creativity | OPEN | 0.59× | |
| Extroversion | THRILL | 0.60× | |
| Indulgence | JOY | 0.67× |
Algorithmic trading has an estimated audience of 543,680 people in Germany, concentrated in Nordrhein-Westfalen and Bayern.
46.7% of Algorithmic trading fans are female, 53.3% are male, with an average age of 36.8 years.
Algorithmic trading fans show strongest brand affinity for Derivative (finance) (48.34×), Commodity market (55.66×), and Passive income (23.46×) over the country average.
Algorithmic trading fans in Germany are most concentrated in Nordrhein-Westfalen (reach ~100K), Bayern (reach ~100K), and Baden-Württemberg (reach ~80K). These three regions account for the largest share of the active audience.
Beyond Algorithmic trading itself, the audience over-indexes on Commodity market (55.66×), Passive income (23.46×), Non-fungible token (39.68×), and Stock market (13.05×) compared to the Germany average.
Related profiles, rankings and the same audience in other markets.
Audience size is the estimated number of people in Germany 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.
This audience profile is generated by Rascasse from anonymized search-behavior signals across Germany. 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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