Ankur Upadhyay SMA
YouTubefinanceIN

Ankur Upadhyay SMA

@ankurupadhyay2008

Ankur Upadhyay SMA [ Stock Market Analysis ] : Full Stock Market Information , Share Information And Some Intresting Facts of Share Market 🥰👍 Disclaimer :- I am not SEBI Register ! So , before making any trade first do own research or ask your financial advisor ! For Business : Shareinfo058@gmail.com Join Us And Be In Market .. ( STOCK MARKET ) 💯✌️ Thank You So Much !

179K

Subscribers

5.04M

Total views

907

Videos

Avg views (recent)

not yet captured

Estimated rate · Integrated video

Subs-based fallback · Low confidence

Low

$1,498

Typical

$1,831

High

$2,497

Niche CPM
$45–75anchor $55
Avg views
33,294tier-based estimate
Format mult
1.00×
Exclusivity
No exclusivitybaseline

Estimated · benchmark only · not claimed by creator. View count not yet captured — tier-based fallback (low confidence). How this works →

Influence profile

Display only · not a price input
Size tier
Mid (100K–500K)
Activity
Activity unknownavg views not yet captured
Niche
Finance
Country · language
India
US equities coverage
Not flagged
SEC §17(b) disclosure
Not assessed

About Ankur Upadhyay SMA

Ankur Upadhyay SMA operates a YouTube channel focused on stock market analysis and information. The channel, @ankurupadhyay2008, originates from India and primarily covers finance topics, including share market insights and related facts. Since its inception, the channel has published 907 videos, accumulating a total of 5,036,693 views. As of the latest data, Ankur Upadhyay SMA has 179,000 subscribers. The content aims to provide comprehensive stock market information, though the creator explicitly states they are not SEBI registered and advises viewers to conduct their own research or consult a financial advisor before making any trades. The channel's content strategy centers on delivering detailed market analysis, making it a resource for individuals seeking to understand the stock market landscape. The creator's bio also indicates an openness to business inquiries, suggesting potential for collaborations within the financial education or investment sector.

Ankur Upadhyay SMA's estimated sponsorship rates

The estimated rate for an integrated video on the Ankur Upadhyay SMA YouTube channel ranges from $644 to $1,611, with a typical rate of $1,074. This estimate places the creator in the mid-tier audience classification. The pricing structure for this creator is influenced by several factors, including their subscriber count of 179,000 and their specialization in the finance niche. Finance content often commands higher CPMs (cost per mille) due to the high value and targeted nature of its audience, which can attract advertisers in sectors like fintech, investment platforms, and financial services. While the primary language of the content is not specified, the channel's origin in India and its focus on stock market analysis suggest a regional relevance that can impact advertising rates based on geographic targeting. The volume of published content, with 907 videos, indicates a consistent content output, which can also contribute to the channel's perceived value for long-term brand partnerships. Compared to peers like 킴스 미국주식 (@kimsstock) with 179,000 subscribers, Ankur Upadhyay SMA's pricing aligns with similar-sized channels within the finance category.

Who should partner with Ankur Upadhyay SMA?

Ankur Upadhyay SMA's audience consists of 179,000 subscribers primarily interested in stock market analysis and financial information. The content's focus on share market insights and investment facts suggests a demographic keen on personal finance, investment strategies, and economic trends. Brands in categories such as fintech apps, online brokerages, personal-finance education platforms, and investment advisory services would find this audience particularly relevant. Given the channel's origin in India, a significant portion of the audience is likely based in the Indian subcontinent, making it an attractive platform for regionally targeted campaigns. The explicit disclaimer in the channel's bio, advising viewers to consult financial advisors, further indicates an audience that is actively engaged in financial decision-making and seeking informed perspectives. This engagement level can be valuable for advertisers looking to connect with a proactive and financially literate demographic. Peer channels like 米国キャリアの投資ch【げんたろう】 and 주식연구소, both with approximately 180,000 subscribers, cater to a similar niche, indicating a competitive but engaged audience segment within the broader finance content landscape.

Ankur Upadhyay SMA's growth and performance

Ankur Upadhyay SMA's subscriber growth has been tracked over a limited period. The channel was first tracked on 2026-05-18 with 179,000 subscribers. The latest snapshot, also taken on 2026-05-18, shows the same subscriber count of 179,000. This represents a growth span of 1 day with a delta of +0 subscribers during this specific tracking window. We do not yet have historical data to analyze long-term subscriber trends or significant growth milestones. Information regarding average views over the last 30 days is also not available at this time. Further data collection will be necessary to provide a more comprehensive analysis of the channel's audience growth trajectory and engagement patterns over an extended period.

How our pricing estimate works for Ankur Upadhyay SMA

The estimated creator rates provided for Ankur Upadhyay SMA are generated through an algorithmic model. This model calculates potential earnings for integrated video content on YouTube by considering various factors. Key inputs include the creator's subscriber count (179,000 in this case), the specific niche (finance), and platform-specific multipliers for YouTube. The finance category often features a higher CPM due to the specialized nature of the content and the value of its audience to relevant advertisers. The estimate is further refined by format multipliers, which adjust for the type of content integration. It is important to note that this particular estimate is based on a metric-driven calculation, with 0 community data points contributing to its calibration. For a detailed explanation of the variables, multipliers, and data sources used in our rate estimation process, please refer to our comprehensive methodology page at /methodology.