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24.3K
Subscribers
5.6K
Average views
across 15 recent videos
23%
Reach quality
of subscribers watch, on average
Above typical for nano-sized channels
Well above the nano median — this audience watches far more than most nano-sized channels.
5.19M
Total views
1.17K
Videos
2026-10-06
Data updated
15-video sample
About
做了散戶韭菜15年,由初哥變阿"爸",牛三贏錢贏到以為自己識"飛",最終倒輸"突",【爸飛突】就是這樣練成的!!😂 我做返一件事 —— 把機構先有嘅數據,變成散戶睇得明嘅說話。 📊 每晚覆盤|港股 × 美股,收市後談今日市況 🎓 散戶生存指南|由零開始,一課一個即刻用得着嘅方法 🧠 TDAI 數據系統|每日波幅預算,恒指 22 年、5,537 個交易日,74% 日子計得中(歷史回溯,不代表將來) 👥 會員區|框架帶 · 實戰檔案 · 每月部署 我哋唔賣預測,驗唔到嘅嘢照樣寫明驗唔到。教你控制心態同倉位,好過叫你買咩。 散戶情緒指標:https://www.tmdad-ai.com 📱 facebook.com/tuenmundad 📷 instagram.com/td.trading.diary 🧵 threads.net/@td.trading.diary 教育用途 · 不構成投資建議 · 本平台並非證監會持牌人 ———————————————— 免責聲明:本人並非香港證監會持牌人,本頻道所有分享純屬個人意見,絕對不能視為投資意見,亦不構成任何投資產品之要約、要約招攬或建議;本人無法保證有關內容的真確性和完整性。本人有可能持有所提及公司或資產的長倉、短倉及衍生工具,並會在毫無預料下買入及賣出。投資涉及風險,讀者應考慮該投資是否適合閣下的個別情況,務請運用個人獨立思考、求證、分析。讀者一切的投資決定以及該投資引致的收益或損失,概與本人無關,詳情請諮詢你的投資顧問。 私隱:本專頁(Facebook/Instagram/YouTube/Threads)按《個人資料(私隱)條例》有關條文處理個人資料;只記錄瀏覽次數作統計報告以改善內容,不收集足以辨識身分嘅資料;如邀請你自願提供個人資料會列明用途;除法律許可或規定外,不會未經你同意向第三者透露,資料保密只有管理員可查閱。
About 屯門爸飛突
屯門爸飛突 (@tuenmundad) is a YouTube content creator based in Hong Kong, focusing primarily on finance. The channel's bio indicates a creator with 15 years of experience as a retail investor, humorously detailing a journey from beginner to overconfidence and subsequent losses, which informs the channel's perspective. The content is presented in an editorial style, consistent with a research analyst's approach to financial topics. With 1,057 videos published, 屯門爸飛突 has accumulated a total of 4,689,504 views. The channel emphasizes that its content represents personal opinions and should not be construed as investment advice, a standard disclaimer in the financial content niche. This positions 屯門爸飛突 as an educational resource for retail investors, sharing insights derived from personal experience within the volatile landscape of financial markets. The creator also maintains a presence on Facebook, Instagram, and Threads, indicating a multi-platform strategy for content distribution and audience engagement.
屯門爸飛突's estimated sponsorship rates
The estimated rate for a sponsored video integration on 屯門爸飛突's YouTube channel ranges from $148 to $370, with a typical rate around $247. This estimate places 屯門爸飛突 in the 'low' audience tier, reflecting its current subscriber count of 23,500. Several factors influence this rate. The finance niche, while often commanding higher CPMs due to its engaged and affluent audience, also features a competitive landscape. The channel's geographic location in Hong Kong may also play a role, as regional market dynamics can affect advertising spend. The high volume of content, with 1,057 videos published, suggests consistent output, which can be attractive to brands seeking sustained visibility. However, without view-count history or average views for the last 30 days, it is challenging to assess recent audience engagement trends, which are crucial for rate determination. Brands in fintech, online brokerage, and personal finance education categories might find this channel suitable for reaching a Hong Kong-based audience interested in investment topics. For a detailed breakdown of how these rates are calculated, refer to our /methodology page.
Who should partner with 屯門爸飛突?
屯門爸飛突's audience primarily consists of individuals interested in finance, particularly retail investing, as indicated by the channel's core content and bio. The creator's personal narrative of 15 years as a retail investor, including both successes and losses, likely resonates with viewers seeking practical, experience-based insights into market dynamics. The channel's Hong Kong base suggests a significant portion of its viewership may be located in Hong Kong or other Cantonese-speaking regions, though specific demographic data is not available. Brands operating in categories such as fintech apps, online brokerages, personal-finance education platforms, and investment advisory services would find this audience relevant. The channel's disclaimer regarding investment advice also implies an audience that is actively seeking financial information and potentially making investment decisions. Peer creators in the finance niche, such as Hayley Eich (@hayleyeich) and 美股领头杨 (@meigulingtouyang), also cater to similar investor demographics, suggesting a consistent demand for this type of content. The engagement with 1,057 videos and over 4.6 million total views indicates a dedicated viewership interested in long-form financial discussions.
屯門爸飛突's growth and performance
屯門爸飛突's subscriber growth data is limited to a single snapshot. The channel was first tracked on 2026-05-19 with 23,500 subscribers, and the latest snapshot on the same date shows no change, maintaining 23,500 subscribers. This represents a span of one day with a delta of zero subscribers. Consequently, we do not yet have historical data to analyze subscriber growth trends over time. Information regarding average views over the last 30 days is also not available, which would provide further insight into recent content performance and audience engagement. As more data becomes available, we will be able to provide a more comprehensive analysis of the channel's growth trajectory and audience acquisition patterns.
How our pricing estimate works for 屯門爸飛突
The estimated pricing for 屯門爸飛突's sponsored content is derived from an algorithmic model. This model considers several key factors, including the creator's subscriber count, the typical Cost Per Mille (CPM) for content within the finance niche, and platform-specific multipliers for YouTube video integrations. While the current estimate is based on a metric-driven approach, it is important to note that community data points for calibration are not yet available for this specific creator. The 'low' audience tier classification is directly linked to the subscriber count. This methodology aims to provide a data-driven benchmark for potential brand collaborations. For a comprehensive explanation of the specific formulas, data inputs, and calibration processes used in our algorithmic pricing model, please refer to the detailed information available on our /methodology page.