权哥讲A股

About 权哥讲A股

权哥讲A股 (@king-trader) is a finance creator based in Hong Kong, primarily producing content in Mandarin Chinese. The channel focuses on stock market analysis and investment strategies, drawing on the creator's background as a former private equity fund manager in Shenzhen, China. The creator states a history of achieving a private equity championship and developing an investment model over more than a decade, claiming a success rate exceeding 85% for market top and bottom calls over the past ten years. Content extends to educational offerings, with the creator having established the 【投研道】 (Tou Yan Dao) investment training platform, which reportedly serves over 100,000 online learners. The channel, with 26,800 subscribers and 1,865 videos published, has accumulated 3,874,610 total views, indicating a consistent output of financial market commentary and educational material for its audience.

权哥讲A股's estimated sponsorship rates

InfluencerUnion estimates that a sponsored video integration on 权哥讲A股's YouTube channel would typically range from $169 to $422, with a median estimate of $281. This pricing is influenced by several factors, including the channel's audience size, which places it in the low tier, and its specialization in the finance category. The finance niche often commands higher CPMs due to the perceived value and purchasing power of its audience, making it a competitive segment for advertisers. While 权哥讲A股's subscriber count of 26,800 is a primary determinant, the high volume of content, with 1,865 videos published, suggests a consistent engagement with its viewership. The channel's Hong Kong base and primary language of Mandarin Chinese also contribute to its unique market positioning. For a detailed breakdown of how these factors are weighted in our algorithmic pricing, refer to the /methodology page.

Who should partner with 权哥讲A股?

The audience for 权哥讲A股 primarily consists of individuals interested in stock market analysis, investment strategies, and financial education, with content delivered in Mandarin Chinese. This demographic is likely to be engaged with topics such as market trends, technical analysis, and long-term investment planning. Given the creator's background as a former private equity fund manager and the emphasis on investment models and training, the viewership may include both novice investors seeking foundational knowledge and more experienced market participants looking for advanced insights. Brands in categories such as fintech apps, online brokerages, personal-finance education platforms, and investment advisory services would find this audience particularly relevant. Peers in this niche, such as 談股論金 (@marvin.talk.stocks) with 26,900 subscribers and STOCK MARKET US (@stockmarketusofficial) with 27,000 subscribers, cater to similar investor demographics, indicating a concentrated interest in financial market content among their respective audiences.

权哥讲A股's growth and performance

权哥讲A股's subscriber growth data currently reflects a single snapshot. The channel was first tracked on 2026-05-19 with 26,800 subscribers. As of the latest snapshot on the same date, the subscriber count remained at 26,800, indicating a delta of zero subscribers over a one-day period. We do not yet have historical data to analyze long-term subscriber trends or significant growth spurts. Additionally, average view data for the last 30 days is not available at this time. Future tracking will provide more comprehensive insights into the channel's audience acquisition patterns and content performance over time.

How our pricing estimate works for 权哥讲A股

The estimated pricing for 权哥讲A股 is generated through an algorithmic model developed by InfluencerUnion. This model calculates a potential range for sponsored content based on several key metrics, including the creator's subscriber count, the specific niche (finance) and its associated CPM (Cost Per Mille) rates, and platform-specific multipliers for YouTube video integrations. The estimate of $169 to $422, with a typical rate of $281, is derived from these factors. It is important to note that this particular estimate is based on our metric_estimate calibration, as we currently have no community-contributed pricing data points for this creator. For a comprehensive explanation of the variables, data sources, and calculations used in our algorithmic pricing model, please refer to the detailed methodology page at /methodology.