Alan Chen
@alanchen
用数据讲故事。AI、科技、华尔街——每周2-3个深度分析视频。 不贩卖恐慌,不编造内幕。每一期都有可验证的数据,有完整的因果链。 📊 底层逻辑 — 用投资者视角拆解行业本质 🔍 华尔街暗线 — 金融世界的骗局、危机与隐藏真相 🤖 AI与你 — AI对普通人的真实影响 跟我一起做有独立思考能力的长期投资者。 坐标:尔湾 商务合作:allanbule@gmail.com
258K
Subscribers
30.6M
Total views
615
Videos
—
Avg views (recent)
not yet captured
Estimated rate · Integrated video
Subs-based fallback · Low confidenceLow
$2,159
Typical
$2,639
High
$3,599
- Niche CPM
- $45–75anchor $55
- Avg views
- 47,988tier-based estimate
- Format mult
- 1.00×
- Exclusivity
- No exclusivitybaseline
Estimated · benchmark only · not claimed by creator. View count not yet captured — tier-based fallback (low confidence). How this works →
Influence profile
Display only · not a price input- Size tier
- Mid (100K–500K)
- Activity
- Activity unknownavg views not yet captured
- Niche
- Finance
- Country · language
- United States
- US equities coverage
- Not flagged
- SEC §17(b) disclosure
- Not assessed
About Alan Chen
Alan Chen, operating under the handle @alanchen on YouTube, is a US-based creator focused on the finance, technology, and business sectors. With 258,000 subscribers and a total view count exceeding 30.5 million across 615 published videos, Chen specializes in data-driven analysis. His content is structured around three core themes: 'Underlying Logic,' which dissects industry fundamentals from an investor's perspective; 'Wall Street Undercurrents,' exploring financial market dynamics, crises, and less apparent truths; and 'AI and You,' examining the practical impact of artificial intelligence on individuals. The channel emphasizes verifiable data and complete causal chains in its analyses, aiming to foster independent thinking among long-term investors. Chen's content strategy avoids speculative or fear-based narratives, instead prioritizing in-depth, research-backed discussions. The creator is based in Irvine, US, and maintains a consistent publishing schedule of two to three deep-dive videos per week. This approach positions @alanchen as a resource for audiences seeking detailed, evidence-based insights into complex financial and technological subjects.
Alan Chen's estimated sponsorship rates
The estimated rate for an integrated video on Alan Chen's YouTube channel ranges from $929 to $2,322, with a typical rate of $1,548. This pricing places @alanchen in the mid-tier audience category, reflecting his subscriber count of 258,000. The rate is influenced by several factors, including the channel's primary focus on finance, a niche known for attracting advertisers in sectors such as fintech, investment platforms, and business services. Secondary categories of technology and business further enhance the channel's appeal to a diverse range of brands. The depth and analytical nature of Chen's content, which often involves detailed data breakdowns and investor-centric perspectives, can command higher CPMs compared to more general content. While specific view-count history for the last 30 days is not available, the total view count of over 30.5 million across 615 videos indicates a consistent content output and audience engagement over time. The US geographic location also contributes to the rate, as US-based audiences often have higher advertising value. This rate estimate is algorithmically derived, with specific calibration details available on our methodology page.
Who should partner with Alan Chen?
Alan Chen's audience, totaling 258,000 subscribers, primarily consists of individuals interested in finance, technology, and business. The content's emphasis on data-driven analysis and investor perspectives suggests a demographic that values in-depth information and seeks to develop independent financial literacy. Brands in categories such as fintech apps, online brokerages, personal-finance education platforms, and investment advisory services would find this audience particularly relevant. Given the channel's focus on AI and its impact, technology companies, particularly those in AI development, software, and hardware, could also align with this viewership. The content's analytical approach to 'Wall Street Undercurrents' and 'Underlying Logic' indicates an audience engaged with market trends, economic principles, and the broader financial landscape. Peer creators like Ziet Invests and Investment Insights Tamil, who operate in similar finance niches and have comparable subscriber counts, likely share a significant portion of this audience demographic, suggesting a consistent demand for detailed financial and economic commentary. The channel's US base further refines the audience profile, indicating a strong presence of viewers within the North American market who are likely to be consumers of financial products and services relevant to that region.
Alan Chen's growth and performance
Alan Chen's subscriber growth data currently reflects a single snapshot. The channel was first tracked on 2026-05-18 with 258,000 subscribers, and the latest snapshot, also on 2026-05-18, shows the same subscriber count. This provides a span of one day with no recorded change in subscriber numbers during this brief tracking period. We do not yet have historical view-count data for the last 30 days. Future tracking will provide more comprehensive data on subscriber trends and average view performance, allowing for a more detailed analysis of the channel's growth trajectory over time. As more data becomes available, we will be able to assess the channel's growth rate in terms of both subscriber acquisition and content engagement, providing a clearer picture of its expansion within the finance, tech, and business content categories.
How our pricing estimate works for Alan Chen
The estimated pricing for Alan Chen's integrated YouTube video content is generated through an algorithmic model. This model calculates a rate by taking into account the creator's subscriber count, which is 258,000, and applying a niche-specific CPM (Cost Per Mille) relevant to the finance, technology, and business categories. Further adjustments are made using platform and format multipliers to reflect the specific characteristics of YouTube video content. This approach provides a data-driven estimate of potential compensation for brand integrations. It is important to note that this estimate is based on a metric-driven calculation and currently incorporates zero community data points for calibration. For a comprehensive understanding of the variables, multipliers, and underlying assumptions used in our algorithmic pricing, please refer to our detailed methodology page at /methodology. This resource provides transparency into how these rates are derived and the factors that influence the final estimate.