量化投资邢不行啊
@xingbuxing
加我微信xbx3380,与我交流。 《量化小讲堂》系列文章作者,经管之家(原人大经济论坛)量化投资板块版主,多年量化投资实战经验,专注A股、股指、数字货币的量化。
27.7K
Subscribers
874.8K
Total views
228
Videos
—
Avg views (30d)
as of 2026-05-24
Integrated video price
Algorithmic estimateLow
$175
Typical
$291
High
$436
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, $175 – $436 per integrated placement. No community data points yet. See methodology →
About 量化投资邢不行啊
量化投资邢不行啊 (handle: @xingbuxing) is a finance creator based in Hong Kong, focusing on quantitative investment strategies. The channel has published 228 videos, accumulating a total of 874,755 views from 27,700 subscribers. Content primarily covers quantitative finance, with a specific emphasis on A-shares, stock indexes, and digital currencies. The creator is also known as the author of the 'Quantitative Lecture Hall' article series and serves as a moderator for the quantitative investment section on Jinguanzhijia (formerly Renmin University Economic Forum). This background suggests a deep practical understanding of quantitative investment, which is reflected in the channel's specialized content. While the primary language is not specified in the data, the display name and bio suggest content is likely in Chinese. The channel's niche in quantitative finance positions it within a specialized segment of the broader finance category, appealing to an audience interested in data-driven investment approaches.
量化投资邢不行啊's estimated sponsorship rates
The estimated rate for a sponsored video integration on the 量化投资邢不行啊 channel ranges from $175 to $436, with a typical rate around $291. This estimate places the creator in the 'low' audience tier, reflecting the current subscriber count of 27,700. Several factors contribute to this rate structure. The channel's highly specialized niche in quantitative finance and cryptocurrency investment likely commands a higher CPM (cost per mille) compared to broader finance channels, as the audience is highly engaged and possesses specific interests relevant to financial products and services. While the overall subscriber count is modest, the specificity of the content suggests a valuable, targeted audience for brands in fintech, trading platforms, and financial education. Geographic location in Hong Kong could also influence rates, potentially attracting brands targeting the Asian financial markets. The format of a video integration on YouTube is a standard offering, and the channel's consistent output of 228 videos indicates a reliable content production history. For a detailed breakdown of how these rates are calculated, including the impact of niche CPMs and platform multipliers, readers are encouraged to consult our /methodology page.
Who should partner with 量化投资邢不行啊?
量化投资邢不行啊 cultivates an audience primarily interested in quantitative investment strategies and digital currencies, drawing 27,700 subscribers. This niche focus suggests a demographic likely composed of individuals with an existing interest in financial markets, investment analysis, and potentially professional backgrounds in finance or data science. The content's emphasis on A-shares, stock indexes, and digital currencies indicates an audience seeking actionable insights and advanced investment techniques. Brands in categories such as fintech applications, online brokerage platforms, quantitative trading software, cryptocurrency exchanges, and personal-finance education platforms would find this audience particularly relevant. The channel's specialized nature means that while the audience size is not in the millions, its engagement and relevance for specific financial products are likely high. When compared to peers in the finance niche, such as 宝哥职业股民 (@super_trader, 27,800 subs) or 도군TV 주식으로부자되기 (@doguntv, 27,500 subs), 量化投资邢不行啊 maintains a comparable subscriber base, indicating a consistent appeal within this specialized segment of the financial creator economy. The audience is likely seeking in-depth, data-driven financial content rather than general market commentary.
量化投资邢不行啊's growth and performance
The growth trajectory for 量化投资邢不行啊 currently shows a stable subscriber count based on the available data. The channel was first tracked on 2026-05-24 with 27,700 subscribers. The latest snapshot, also taken on 2026-05-24, recorded the same subscriber count. This represents a span of one day with no change in subscriber numbers. We do not yet have historical data spanning a longer period to assess long-term growth trends or fluctuations. Additionally, average views for the last 30 days are not available at this time, which would provide further insight into recent content performance and audience engagement. As more historical data becomes available, a more comprehensive analysis of subscriber and view growth patterns will be possible, allowing for a better understanding of the channel's momentum within the quantitative finance and crypto content space.
How our pricing estimate works for 量化投资邢不行啊
The estimated pricing for 量化投资邢不行啊's sponsored content is generated through an algorithmic model. This model considers several key factors, including the creator's subscriber count, the typical CPM (cost per mille) for their specific niche (finance and crypto), and various multipliers applied based on the platform (YouTube) and content format (video integration). The current estimate is derived from a 'metric_estimate' basis, indicating that it is primarily driven by quantitative data points rather than extensive community-contributed pricing information, with zero community data points currently available for calibration. The 'low' audience tier classification is directly tied to the current subscriber count. It is important to note that these figures represent an estimated range, and actual rates can vary based on campaign specifics, brand negotiations, and the creator's individual pricing strategy. For a comprehensive explanation of the inputs, calculations, and assumptions underpinning our algorithmic pricing model, please refer to the detailed methodology page available at /methodology.