Trading Sciences

About Trading Sciences

Trading Sciences, operating under the YouTube handle @armand_de_la_comble, is a Hong Kong-based creator focused on stock market technical analysis. The channel specializes in methodologies such as Elliott Waves, Fibonacci retracements, MACD indicators, and trendline analysis. With 361 videos published, Trading Sciences has accumulated 1,127,490 total views across its content. The channel currently maintains a subscriber base of 15,000. Its primary content category is finance, with no secondary categories specified. The creator's bio indicates a direct focus on educational content within the technical analysis domain, providing viewers with detailed breakdowns of charting techniques and market indicators relevant to stock trading. The channel's content is delivered in an unspecified primary language, catering to an audience interested in advanced trading strategies and market mechanics.

Trading Sciences's estimated sponsorship rates

The estimated rate for an integrated video on the Trading Sciences YouTube channel ranges from $107 to $178, with a typical rate of $130. This estimate positions Trading Sciences within the nano-tier audience classification. The pricing is influenced by several factors, including the channel's niche, audience size, and content format. The finance category generally commands a higher CPM band, estimated between $45 and $75, with an anchor CPM of $55. This higher CPM reflects the value advertisers place on reaching an audience interested in financial topics, which often correlates with higher disposable income or investment potential. While the subscriber count of 15,000 is a primary driver, the specific technical analysis focus may also attract a highly engaged, specialized audience, potentially justifying the upper end of the estimated range for certain brand integrations. The rate calculation considers a view basis of 2,370, derived from a subscriber fallback method due to the absence of recent view-count history, indicating a low confidence level in this specific view metric. Further details on how these rates are calculated can be found on our /methodology page.

Who should partner with Trading Sciences?

Trading Sciences primarily engages an audience interested in advanced financial topics, specifically stock market technical analysis. The channel's content on Elliott Waves, Fibonacci, MACD, and trendlines appeals to viewers seeking in-depth educational material on trading strategies. This demographic is typically composed of active traders, investors, and individuals pursuing self-directed financial education. Brands that align well with this audience include fintech applications, online brokerage platforms, financial data providers, trading software companies, and personal-finance education platforms. The channel's Hong Kong base suggests a potential concentration of its audience within Asian markets, though the specific language of content delivery is not yet determined. In the finance niche, peer creators such as Airplane Jane - Carpe Profit! (@itsairplanejane) and ManzTrades (@manztrades) also cater to similar segments, focusing on market analysis and trading insights. The 15,000 subscribers indicate a dedicated, albeit specialized, community that values detailed, analytical content over broad financial overviews. The absence of secondary categories reinforces the channel's focused approach to its core finance subject matter.

Trading Sciences's growth and performance

Trading Sciences was first tracked on 2026-05-29, at which point the channel had 15,000 subscribers. The latest snapshot, taken on the same date, shows the subscriber count remaining at 15,000. This provides a snapshot history spanning one day, with a delta of zero subscribers during this period. We do not yet have historical data to assess long-term subscriber growth trends or fluctuations. Similarly, average views for the last 30 days are not available at this time. The total views across all 361 published videos stand at 1,127,490. Future tracking will provide more comprehensive data on subscriber and view count changes, allowing for a more detailed analysis of the channel's growth trajectory.

How our pricing estimate works for Trading Sciences

The estimated pricing for content integration on Trading Sciences is generated through an algorithmic model. This model considers several key factors, including the channel's subscriber count, its primary content niche, and platform-specific multipliers for YouTube. The finance niche, for example, is assigned a specific CPM band, which is then adjusted based on the creator's audience size and engagement metrics. For Trading Sciences, the estimate utilizes a subscriber fallback for view count due to the absence of recent view history, resulting in a low confidence level for that specific input. The final rate reflects a calculation of subscriber count multiplied by the niche CPM and further refined by platform and format-specific adjustments. For a comprehensive understanding of the variables and calculations involved in our creator pricing estimates, please refer to our detailed methodology page at /methodology.