阿媚讲期权
@walkerprice859
📈 期权投资,科技股攻略 📈 欢迎来到阿媚讲期权! 我是阿媚,一名期权交易专家,专注于科技股的期权策略。 在这里,你将学到: 期权基础与进阶:从基础知识到复杂策略,全方位提升你的期权技能。 七大科技股分析:苹果、微软、亚马逊等科技股的期权交易策略。 实战案例分享:如何通过期权杠杆赚取收益,以及如何规避风险。 如果你对期权交易充满兴趣, 并且想掌握高效的科技股期权策略, 那就加入我,一起探索期权市场的无限潜力! 👉 订阅阿媚讲期权,开启你的期权投资之旅!
15K
Subscribers
757.8K
Total views
128
Videos
—
Avg views (30d)
as of 2026-05-24
Integrated video price
Algorithmic estimateLow
$95
Typical
$158
High
$236
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, $95 – $236 per integrated placement. No community data points yet. See methodology →
About 阿媚讲期权
阿媚讲期权 (@walkerprice859) is a YouTube channel focused on options trading, with a particular emphasis on strategies for technology stocks. The creator, 阿媚, positions herself as an options trading expert. The channel's content covers a range of topics from foundational options knowledge to advanced strategies, including detailed analysis of options trading for specific major technology companies such as Apple, Microsoft, and Amazon. Practical case studies are also presented, illustrating methods for leveraging options for profit and managing associated risks. The channel aims to educate viewers interested in options trading and effective tech stock options strategies. As of the latest data, 阿媚讲期权 has published 128 videos, accumulating a total of 757,754 views across its content. The channel operates primarily in an unknown language, but its content is centered on financial education within the options market. While the primary language is not specified, the channel's display name and bio are in Chinese, suggesting a focus on a Chinese-speaking audience interested in finance.
阿媚讲期权's estimated sponsorship rates
The estimated rate for an integrated video on the 阿媚讲期权 YouTube channel ranges from $95 to $236, with a typical rate around $158. This estimate places the channel in the 'low' audience tier, reflecting its current subscriber count of 15,000. The pricing is influenced by several factors, including the channel's niche in finance, which typically commands higher CPMs due to the specialized and high-value nature of its audience. The content's focus on options trading and technology stocks appeals to a demographic often targeted by financial services, investment platforms, and fintech companies. While the channel's subscriber count is modest, its specific and engaged niche contributes to its rate structure. For comparison, peer channels like Airplane Jane - Carpe Profit! and ManzTrades, which also operate in the finance niche with similar subscriber counts, would likely fall into a comparable rate range, assuming similar engagement and content depth. The rate calculation also considers the YouTube platform's standard multipliers and the video integration format. Further details on the algorithmic pricing model can be found on our /methodology page.
Who should partner with 阿媚讲期权?
阿媚讲期权 cultivates an audience primarily interested in options trading and investment strategies for technology stocks. With 15,000 subscribers, the channel attracts individuals seeking to understand and implement financial instruments, specifically options, within the context of the stock market. The content's detailed focus on major tech companies like Apple, Microsoft, and Amazon suggests an audience that is likely already engaged with the stock market or is looking to deepen their investment knowledge in high-growth sectors. This demographic is typically analytical, financially literate, and actively seeking actionable investment insights. Potential brand categories that would find this audience valuable include fintech apps, online brokerages, personal-finance education platforms, investment research tools, and financial news services. The channel's specific niche means that while its overall audience size is in the 'low' tier, its engagement from a targeted demographic can be significant for relevant advertisers. Peer creators such as ManzTrades and Chứng khoán Đức An, operating in similar finance niches, would likely share a comparable audience profile, characterized by an interest in market analysis and investment strategies.
阿媚讲期权's growth and performance
阿媚讲期权's subscriber growth data currently reflects a single snapshot. The channel was first tracked on 2026-05-24, at which point it had 15,000 subscribers. The latest snapshot, taken on the same date, shows the subscriber count remaining at 15,000. This provides a very limited historical view, indicating a span of 1 day with a delta of +0 subscribers. Consequently, we do not yet have historical data to analyze trends in subscriber acquisition or view count over time. Information regarding average views over the last 30 days is also not available at this time. To provide a comprehensive analysis of growth, additional historical data points would be required to observe any fluctuations or consistent patterns in subscriber growth and content performance.
How our pricing estimate works for 阿媚讲期权
The estimated pricing for 阿媚讲期权 is generated through an algorithmic model that considers several key factors. This model primarily uses the channel's subscriber count, which is 15,000, as a foundational metric. It then applies a niche-specific CPM (Cost Per Mille) multiplier, recognizing that finance content, particularly specialized areas like options trading, typically commands higher advertising rates due to its targeted and valuable audience. Further adjustments are made using platform-specific and content format multipliers, in this case, for YouTube video integrations. This estimate is currently based on a 'metric_estimate' calibration, with 0 community data points contributing to its refinement. This means the estimate relies solely on our internal model's parameters without external community-sourced pricing data for this specific creator. For a comprehensive understanding of the variables and calculations involved in our algorithmic pricing, including details on CPMs, platform multipliers, and data calibration, please refer to our detailed methodology page at /methodology.