StockNova Pro
@stocknovapro
ภาษาไทย (Thai) ยินดีต้อนรับสู่ StockNova – คู่มือการลงทุนระดับโลกสำหรับ ตลาดหุ้นอเมริกา และแนวโน้มการลงทุนทั่วโลก ภารกิจของเราคือ ทำให้ตลาดที่ซับซ้อน เข้าใจง่ายสำหรับนักลงทุนทุกคน สิ่งที่คุณจะได้จากช่องนี้: ข่าวหุ้นสหรัฐ รายวัน และการวิเคราะห์ (Nasdaq, S&P 500, Dow Jones) กลยุทธ์การลงทุนสำหรับมือใหม่และนักลงทุนที่มีประสบการณ์ เจาะลึก หุ้น AI, กองทุน ETF, และเทรนด์จาก วอลล์สตรีท มุมมองตลาดโลก และอัปเดต ดอกเบี้ยสหรัฐ (Federal Reserve) ไม่ว่าคุณจะเพิ่งเริ่มต้น หรืออยากพอร์ตโตต่อ StockNova จะพาคุณก้าวไปสู่การลงทุนแบบ Simple • Smart • Global คำค้น (Keywords): หุ้นอเมริกา, ตลาดหุ้นสหรัฐ, ข่าวหุ้นสหรัฐ, วิเคราะห์หุ้น, หุ้นเทคโนโลยี, หุ้น AI, กองทุน ETF, การลงทุนหุ้นสหรัฐ, เศรษฐกิจสหรัฐ, กลยุทธ์การลงทุน, นักลงทุนไทย, แนวโน้มตลาดโลก, หุ้นระยะยาว
11.6K
Subscribers
2.95M
Total views
715
Videos
—
Avg views (30d)
as of 2026-05-25
Integrated video price
Algorithmic estimateLow
$73
Typical
$122
High
$183
Range is the pure algorithmic estimate from audience size, niche CPM, geo and format multipliers. How this works →
Pricing model
Algorithmic estimate
Pure algorithmic estimate, $73 – $183 per integrated placement. No community data points yet. See methodology →
About StockNova Pro
StockNova Pro, operating under the handle @stocknovapro on YouTube, is a finance-focused creator based in Thailand. The channel's content is delivered in Thai and centers on global investment strategies, with a particular emphasis on the U.S. stock market. StockNova Pro aims to demystify complex market concepts for a broad audience, ranging from novice investors to those with more experience. Key content areas include daily U.S. stock news and analysis covering major indices like the Nasdaq, S&P 500, and Dow Jones. The channel also provides insights into specific investment themes such as AI stocks, ETFs, and broader trends originating from Wall Street. Additionally, StockNova Pro offers perspectives on the global market landscape and updates on U.S. interest rates, including actions by the Federal Reserve. With 715 videos published, the channel has accumulated 2,945,968 total views, serving as a resource for individuals seeking to understand and navigate international financial markets.
StockNova Pro's estimated sponsorship rates
The estimated rate for an integrated video on StockNova Pro's YouTube channel ranges from $73 to $183, with a typical rate around $122. This estimate positions StockNova Pro within the 'low' audience tier, reflecting its current subscriber count of 11,600. The channel's primary focus on finance, specifically U.S. stock markets and global investment trends, contributes to its valuation. Finance content often commands a higher CPM (cost per mille) compared to general entertainment categories due to the perceived value and purchasing power of its audience, who are typically interested in financial products, services, and educational resources. The content's specific niche, addressing topics like AI stocks, ETFs, and Federal Reserve updates, appeals to advertisers in fintech, investment platforms, and financial education. While the channel's geographic base in Thailand and primary language being Thai might influence the specific advertiser pool, the global nature of its content (U.S. stocks) broadens its appeal. The rate is algorithmically derived and is subject to adjustment based on specific campaign requirements, integration depth, and evolving market dynamics.
Who should partner with StockNova Pro?
StockNova Pro's audience consists primarily of Thai-speaking individuals interested in finance and global investment, with a specific focus on the U.S. stock market. The channel's content caters to both new and experienced investors, offering daily news, analysis, and strategic insights. This demographic is likely interested in fintech applications, online brokerage services, personal-finance education platforms, and investment products such as ETFs and AI-focused funds. The emphasis on Wall Street trends and Federal Reserve updates suggests an audience that is financially literate or actively seeking to enhance their financial knowledge. Given the channel's focus, potential brand categories for partnerships include investment platforms, financial news services, wealth management tools, and educational institutions offering finance courses. Peer creators in a similar finance niche, such as Ruby投资笔记 and 美投财思, also cater to audiences seeking detailed market analysis and investment guidance, indicating a consistent demand for this type of content across different language markets.
StockNova Pro's growth and performance
StockNova Pro's subscriber growth data is currently limited to a single snapshot. The channel was first tracked on 2026-05-25, at which point it had 11,600 subscribers. The latest snapshot, also on 2026-05-25, 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 periods. Information regarding average views over the last 30 days is also not available at this time. As more data points are collected, a more comprehensive analysis of StockNova Pro's audience growth trajectory will be possible, including insights into subscriber acquisition rates and viewership patterns over extended periods.
How our pricing estimate works for StockNova Pro
The estimated pricing for StockNova Pro's sponsored content is generated through an algorithmic model. This estimation takes into account several key factors, including the creator's subscriber count, the typical CPM (cost per mille) associated with the finance niche, and platform-specific multipliers for YouTube, as well as format multipliers for integrated video content. It is important to note that this estimate is derived from a metric-based calculation and, at present, is calibrated without the benefit of community-contributed pricing data. The 'low' audience tier classification is also an input to this algorithmic process. For a detailed explanation of the variables, calculations, and data sources that inform our pricing estimates, please refer to our comprehensive methodology page at /methodology.