A data profile of the people who buy, follow and care about Algorithmic trading in India — modelled from more than twelve digital signal sources. Algorithmic trading has an estimated audience of 7,681,685 people in India.
Algorithmic trading has an estimated audience of 7,681,685 people in India. 28.6% are female, 71.4% are male, average age 27.6. Top brand affinities: Sports betting, Forex Online Trading, Lottery, Commodity market, Futures exchange.
Top brand affinities include Sports betting, Forex Online Trading, Lottery, with strongest over-indexing on Sports betting (16.4× the country average).
Demographically, the Algorithmic trading audience skews more male with an average age of 27.6, and over-indexes on personality traits such as Quality Awareness, Career Orientation.
The typical Algorithmic trading fan in India is more male, around 27.6 years old, with strong Quality Awareness tendencies and a notable affinity for Sports betting.
The key figures that characterise the Algorithmic trading profile in India.
28.6% are female, 71.4% are male, average age 27.6.
| Metric | Value |
|---|---|
| Female | 28.6% |
| Male | 71.4% |
| Average age | 27.6 |
| Estimated audience size | 7,681,685 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 50% | |
| 20-29 | 29% | |
| 30-39 | 11% | |
| 40-49 | 6% | |
| 50+ | 4% |
of the worldwide Algorithmic trading audience comes from India.
| Country | Share |
|---|---|
| India | 39.1% |
| United States | 9.3% |
| Saudi Arabia | 4.1% |
The strongest cross-interests of the Algorithmic trading audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Social trading | Business & Career | 44.72× | ||
| 02 | Commodity market | Business & Career | 28.24× | ||
| 03 | Forex Online Trading | Business & Career | 28.19× | ||
| 04 | Futures exchange | Business & Career | 25.16× | ||
| 05 | Derivative (finance) | Business & Career | 24.25× | ||
| 06 | Unibet | Games | 21.00× | ||
| 07 | Sports betting | Games | 16.40× | ||
| 08 | Lottery | Games | 13.09× | ||
| 09 | Passive income | Business & Career | 8.07× | ||
| 10 | Strategy games | Games | 5.37× | ||
| 11 | NASDAQ | Business & Career | 5.03× | ||
| 12 | Stock market | Business & Career | 4.90× | ||
| 13 | Poker | Games | 4.47× | ||
| 14 | Board games | Games | 4.24× | ||
| 15 | Private equity | Business & Career | 3.99× | ||
| 16 | India national cricket team | Sports | 1.90× | ||
| 17 | Chennai Super Kings | Sports | 1.90× | ||
| 18 | Virat Kohli | Sports | 1.89× | ||
| 19 | Indian Premier League | Sports | 1.73× | ||
| 20 | Superman | Movies & TV | 1.58× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Quality Awareness | PREMIUM | 2.05× | |
| Career Orientation | POWER | 1.95× | |
| Risk Appetite | THRILL | 1.86× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Creativity | OPEN | 0.58× | |
| Price Sensitivity | PREMIUM | 0.63× | |
| Tradition | CONSERVATISM | 0.67× |
Related profiles, rankings and the same audience in other markets.
Audience size is the estimated number of people in India 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 India. 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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