美股數據張老師

About 美股數據張老師

美股數據張老師, operating under the handle @tg_discord on YouTube, is a finance content creator based in the United States. The channel primarily focuses on stock market analysis, offering daily interpretations of pre-market and post-market data for U.S. equities. Content includes technical analysis for stocks and detailed breakdowns of options strategies, catering to both introductory and advanced levels. The creator emphasizes a data-driven approach to understanding market movements and informing trading decisions. While the primary language is not explicitly stated, the content appears to be geared towards a Chinese-speaking audience, given the display name and bio. In addition to core finance topics, the channel also covers cryptocurrency, indicating a broader interest in digital asset markets. With 301 videos published and a total view count of 166,467, 美股數據張老師 has established a presence in the online financial education space, providing insights into market dynamics and investment strategies.

美股數據張老師's estimated sponsorship rates

InfluencerUnion estimates that an integrated video on 美股數據張老師's YouTube channel would typically range from $65 to $162. The median estimated rate for such content is $108. This pricing is influenced by several factors, including the creator's subscriber count of 10,300, which places them in the low audience tier. The finance niche generally commands a higher CPM due to the high value and targeted nature of its audience, attracting advertisers in fintech, investment platforms, and financial services. While the creator's geographic location in the US can also influence rates, the primary language of the content, which appears to be Chinese, may also affect the specific advertiser pool and associated CPMs. The format of integrated video content, which allows for deeper brand messaging, also contributes to the rate structure. For a comprehensive understanding of how these factors are weighted in our algorithmic estimate, please refer to our /methodology page. It is important to note that this estimate is based on algorithmic modeling and currently lacks community data points for calibration.

Who should partner with 美股數據張老師?

The audience for 美股數據張老師 is primarily interested in finance, with a specific focus on U.S. stock market analysis and trading strategies. This includes individuals seeking daily market updates, technical analysis for equities, and explanations of options strategies ranging from beginner to advanced levels. The secondary content category of crypto also attracts viewers interested in digital asset investments. Brands in categories such as fintech apps, online brokerages, personal-finance education platforms, investment research tools, and cryptocurrency exchanges would find this audience particularly relevant. Given the creator's focus on data-driven market insights, the audience is likely composed of active traders, investors, and individuals looking to deepen their understanding of financial markets. Peer creators in this niche, such as 주식이베스트 이베스트투자증권 (@etradekorea2) and Rakuten Trade (@rakutentrade), also cater to similar demographics interested in investment and trading education, suggesting a consistent audience profile across these channels.

美股數據張老師's growth and performance

美股數據張老師's subscriber growth data currently reflects a single snapshot. The channel was first tracked on 2026-05-24 with 10,300 subscribers. The latest snapshot, also on 2026-05-24, shows the same subscriber count of 10,300. Over this one-day tracking period, the channel experienced a delta of 0 subscribers. We do not yet have view-count history for the last 30 days to provide an average view count trend. Further data collection will allow for a more comprehensive analysis of subscriber and view growth patterns over time.

How our pricing estimate works for 美股數據張老師

The estimated pricing for 美股數據張老師's sponsored content is derived from a proprietary algorithmic model developed by InfluencerUnion. This model considers several key variables to generate a rate range. The primary inputs include the creator's subscriber count, which is a foundational metric for audience reach. This is then adjusted by a niche-specific CPM (Cost Per Mille) multiplier, recognizing that finance content often commands higher rates due to its targeted and high-value audience. Further adjustments are applied through platform and format multipliers, accounting for the specific engagement dynamics of YouTube and the integrated video format. It is important to note that this estimate is currently based on algorithmic projections and has not yet been calibrated with community-provided data points. For a detailed explanation of the variables, calculations, and assumptions used in our pricing model, please visit our comprehensive /methodology page.