霸財智贏BARRICH
@barrich1995
霸財智贏為全球投資者提供港美股中短線智能數據分析系統服務,專注港美股分析30年,作為港交所、納斯達克、紐交所授權數據供應商,旗下天匯財經研發出Power Ticker、Intelligent Trader等智能分析系統,致力於幫助投資者解決尋找機會、持倉評估、揭示風險等一系列問題。 最新港美股短炒分析APPS——安卓版:https://play.google.com/store/apps/details?id=bc.stock.barrich IOS版:https://apps.apple.com/hk/app/%E9%9C%B8%E8%B2%A1%E6%99%BA%E8%B4%8F/id1458312964 免責聲明: 霸財所提供的資訊、嘉賓或相關人士的個人觀點僅供參考,不構成投資建議或邀約,市場有風險,投資需謹慎。
21K
Subscribers
3.21M
Total views
2.87K
Videos
—
Avg views (30d)
as of 2026-05-25
Integrated video price
Algorithmic estimateLow
$132
Typical
$220
High
$331
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, $132 – $331 per integrated placement. No community data points yet. See methodology →
About 霸財智贏BARRICH
霸財智贏BARRICH operates on YouTube under the handle @barrich1995, focusing on the finance category. The channel, based in Hong Kong, provides analysis and data systems for Hong Kong and US stock markets. With 2,871 videos published, the channel has accumulated 3,209,191 total views. The content is primarily delivered in an unknown language, catering to global investors interested in short-to-medium term intelligent data analysis for stock trading. The channel's bio highlights its 30 years of experience in stock analysis and its authorization as a data supplier for major exchanges including HKEX, NASDAQ, and NYSE. It features proprietary intelligent analysis systems such as Power Ticker and Intelligent Trader, developed by its affiliated company, 天匯財經. These systems are designed to assist investors with identifying opportunities, evaluating holdings, and revealing risks. The channel also promotes its mobile applications for both Android and iOS platforms, which offer real-time short-term analysis for Hong Kong and US stocks. A disclaimer is included, stating that the information and personal views provided are for reference only and do not constitute investment advice.
霸財智贏BARRICH's estimated sponsorship rates
The estimated rate for a video integration on 霸財智贏BARRICH ranges from $132 to $331, with a typical rate around $220. This estimate is derived from an algorithmic model that considers various factors, including the creator's subscriber count, niche CPM (Cost Per Mille), and platform-specific multipliers. As a finance channel, 霸財智贏BARRICH operates within a niche that often commands higher CPMs due to the specialized nature of its content and the financial literacy of its audience. The channel's focus on providing data analysis systems for Hong Kong and US stock markets, along with its affiliation as a data supplier for major exchanges, contributes to its perceived value within the finance sector. The rate calculation also takes into account the channel's audience tier, which is currently classified as 'low' based on its subscriber count of 21,000. While we do not have specific community data points to calibrate this estimate, the algorithmic model provides a data-driven projection of potential pricing for brand collaborations. Factors such as video length, complexity of integration, and exclusivity terms can further influence the final negotiated rate.
Who should partner with 霸財智贏BARRICH?
霸財智贏BARRICH's audience consists primarily of global investors interested in Hong Kong and US stock market analysis. The channel's content is highly specialized, targeting individuals seeking intelligent data analysis systems for short-to-medium term trading strategies. Given its focus on financial markets and proprietary analysis tools, the audience is likely to be financially literate and actively engaged in investment activities. This demographic is particularly attractive to brands in specific categories, including fintech apps, online brokerages, investment education platforms, and financial software providers. The channel's promotion of its own mobile applications for stock analysis further indicates an audience that is comfortable with digital financial tools. In the finance niche, 霸財智贏BARRICH shares an audience tier with creators such as ”質問受付中”投資家【ある】のエヌビディア最前線”AI革命で目指せ資産最大化” (@aru_investor_aru) and NISAチャンネル, さとぽん (@satopon-nisa), both of whom also have 21,000 subscribers. Other peer creators like Forex Chasers (@forexchasers) and Chứng khoán DNSE (@dnse), with 21,100 subscribers, also cater to similar investor demographics, suggesting a competitive but engaged audience landscape within this segment of the finance content ecosystem.
霸財智贏BARRICH's growth and performance
霸財智贏BARRICH's subscriber growth data currently shows a stable trend. The channel was first tracked on 2026-05-25 with 21,000 subscribers. As of the latest snapshot, also on 2026-05-25, the subscriber count remains at 21,000. This represents a zero subscriber change over a one-day tracking period. We do not yet have historical data spanning a longer duration to assess long-term growth patterns or significant fluctuations. Information regarding average views over the last 30 days is also not available at this time, which would typically provide additional insights into recent content performance and audience engagement trends. Further tracking will be necessary to observe any shifts in subscriber numbers and overall channel momentum.
How our pricing estimate works for 霸財智贏BARRICH
The estimated pricing for creator collaborations, such as a video integration on 霸財智贏BARRICH, is generated through a proprietary algorithmic model. This model calculates a potential rate by taking into account several key metrics. These include the creator's subscriber count, a niche-specific CPM (Cost Per Mille) relevant to the finance category, and various multipliers applied for the specific platform (YouTube in this case) and content format. The algorithm aims to provide a data-driven projection of market value, even when direct community pricing data is limited. For a comprehensive understanding of the factors and calculations involved in our pricing estimates, including how niche CPMs are determined and the application of platform-specific adjustments, please refer to our detailed methodology page at /methodology.