Super Trader Lakshya
YouTubefinanceIN

Super Trader Lakshya

@supertraderlakshya

5 Mn Subscribers By End of 2026 DREAMER - BELIEVER - FIGHTER Hi Friends , I m a Stock market Trader since 2008 who believes that Stock Market is the most powerful way of Generating Parttime/Fulltime Income . You can Contact us at stlacademy4trading@gmail.com ------------------ The only thing new people should focus on Learning and Earning . I will be Posting Lot of Videos on STOCKMARKET - CAREER - JOBS - BUSINESS & ECONOMIC ISSUES AROUND INDIA AND WORLD . STAY TUNED JAI HIND

901K

Subscribers

72.9M

Total views

746

Videos

20.1K

Avg views (recent)

15-video sample · 2026-07-18

Estimated rate · Integrated video

Avg views · niche CPM · High confidence

Low

$905

Typical

$1,106

High

$1,509

Niche CPM
$45–75anchor $55
Avg views
20,115per recent video
Format mult
1.00×
Exclusivity
No exclusivitybaseline

Estimated · benchmark only · not claimed by creator. How this works →

Influence profile

Display only · not a price input
Size tier
Macro (500K–1M)
Activity
Below averageratio 0.022 · n=15
Niche
Finance
Country · language
India· en
US equities coverage
Not flagged
SEC §17(b) disclosure
Not assessed

About Super Trader Lakshya

Super Trader Lakshya, operating under the handle @supertraderlakshya on YouTube, is a finance-focused creator based in India. The channel, active since 2008, emphasizes stock market trading as a primary method for generating income, suitable for both part-time and full-time engagement. With 846 videos published, the channel has accumulated a total of 75,014,541 views. The content strategy includes a broad range of topics within the financial sphere, such as stock market analysis, career development, job market insights, business strategies, and economic issues relevant to both India and the global landscape. The creator's stated goal is to reach 5 million subscribers by the end of 2026, reflecting an ambitious growth trajectory within the finance education sector. The channel serves as a resource for individuals seeking to understand and participate in financial markets, particularly those interested in trading and wealth generation.

Super Trader Lakshya's estimated sponsorship rates

The estimated rate for a sponsored video integration on the Super Trader Lakshya YouTube channel ranges from $3,236 to $8,091, with a typical rate around $5,394. This estimate places Super Trader Lakshya in the mid-tier audience category. Several factors contribute to this rate structure. The channel's primary focus on finance, a niche known for higher CPMs (Cost Per Mille) due to its affluent and engaged audience, is a significant driver. Advertisers in the finance sector often target viewers interested in investment products, financial services, and wealth management tools, which command premium pricing. The channel's substantial subscriber count of 899,000 also plays a role, indicating a broad reach within its target demographic. Furthermore, the content's direct relevance to financial education and trading strategies makes it particularly attractive to brands in fintech, online brokerage, and financial advisory services. The specific format of a video integration on YouTube, which allows for detailed product explanations and demonstrations, also influences the pricing. For a comprehensive understanding of the algorithmic pricing model, including specific multipliers for niche, platform, and format, readers are directed to the /methodology page.

Who should partner with Super Trader Lakshya?

Super Trader Lakshya's audience consists primarily of individuals interested in stock market trading, financial education, and wealth generation strategies, predominantly located in India. The content's emphasis on practical income generation through the stock market appeals to both novice and experienced investors. Brands in categories such as fintech apps, online brokerages, personal-finance education platforms, investment advisory services, and wealth management tools would find this audience highly relevant. Given the channel's focus on economic issues and business, related sectors like business news platforms, career development services, and entrepreneurial resources could also engage effectively. The channel's subscriber base of 899,000 positions it alongside other prominent finance creators like BANK ACADEMY / バンクアカデミー, which also has 899,000 subscribers, and Parkev Tatevosian, CFA, with 872,000 subscribers. This indicates a consistent appeal within the finance education segment, attracting viewers seeking actionable financial insights and market analysis. The audience demonstrates an active interest in learning about investment opportunities, market trends, and strategies for financial independence.

Super Trader Lakshya's growth and performance

Super Trader Lakshya's subscriber growth history currently reflects a single data point. As of the first tracking date on 2026-05-18, the channel recorded 899,000 subscribers. The latest snapshot, also on 2026-05-18, shows the same subscriber count, resulting in a delta of 0 subscribers over a one-day span. We do not yet have historical data to analyze long-term subscriber trends or significant growth spurts. Similarly, average view counts for the last 30 days are not available at this time. Future tracking will provide more comprehensive data points to assess the channel's growth trajectory and audience engagement patterns over extended periods.

How our pricing estimate works for Super Trader Lakshya

The estimated pricing for Super Trader Lakshya's sponsored content is generated through an algorithmic model developed by InfluencerUnion. This model calculates a rate based on several key factors, including the creator's subscriber count, the specific niche's average CPM (Cost Per Mille), and platform-specific multipliers for YouTube video integrations. The finance category, in which Super Trader Lakshya operates, typically commands higher CPMs due to the demographic's purchasing power and interest in financial products and services. The current estimate is based on a metric-driven approach, and while it provides a robust baseline, it has not yet been calibrated with community-provided data points. For a detailed explanation of the variables, formulas, and data sources used in our algorithmic pricing methodology, please refer to the /methodology page on our website.