PATsTrading

About PATsTrading

PATsTrading, operating under the handle @patstrading on YouTube, is a finance-focused content creator based in the United States. The channel centers its editorial strategy on technical analysis and price action trading methodologies. With a library of 2,944 videos, the creator has established a long-term archive of educational content aimed at traders seeking to understand market movements without the use of complex indicators. The channel has accumulated 4,759,695 total views, reflecting a consistent focus on niche-specific financial education. By prioritizing pure price action, PATsTrading differentiates itself from broader market commentary channels, positioning its content for an audience interested in the mechanics of day trading and chart analysis. The creator maintains a singular focus on the finance category, eschewing secondary topics to preserve a specialized content environment. This approach has allowed the channel to sustain a subscriber base of 37,000, positioning it within the nano-tier segment of the creator economy. As a US-based entity, the channel adheres to English-language content delivery, catering to a domestic and international audience interested in professional-grade trading techniques. The longevity of the channel, evidenced by its high volume of uploaded content, suggests a commitment to daily or near-daily market analysis, providing viewers with regular updates on price action developments.

PATsTrading's estimated sponsorship rates

The estimated market rate for a video integration on the PATsTrading YouTube channel ranges from $80 to $134, with a typical valuation of $98 per placement. These figures are derived from an algorithmic assessment of the channel’s current performance metrics, specifically accounting for a niche CPM band of $45 to $75, with a calculated anchor of $55. The pricing structure is heavily influenced by the channel's specific niche in finance, which typically commands higher advertising premiums compared to general entertainment or lifestyle categories. Because the channel operates within the trading sector, the audience is characterized by high intent, which increases the value of each view for potential sponsors. The rate is further adjusted based on the channel's current average view count of 1,780, which serves as the primary basis for the confidence level of these estimates. Factors pushing this creator's rate toward the higher end of the spectrum include the specialized nature of the content and the high level of audience engagement required to follow technical trading tutorials. Conversely, the nano-tier subscriber status acts as a limiting factor on total reach, keeping the absolute cost per integration lower than mid-tier or macro-tier finance creators. For a detailed breakdown of how these variables interact to produce these specific dollar ranges, please refer to our /methodology page.

Who should partner with PATsTrading?

The audience for PATsTrading is primarily composed of individuals interested in financial markets, specifically those utilizing price action strategies. Given the technical nature of the content, the viewer demographic likely includes retail traders, aspiring day traders, and individuals seeking to improve their technical analysis skills. This audience profile aligns with brand categories such as online brokerages, trading software platforms, charting tools, and personal-finance education services. The channel’s focus on pure price action suggests a viewer base that values objective market data over speculative news or fundamental analysis. When compared to peer creators in the finance space—such as Roberto Area, Seeking Alpha, and the channel 생각남 ETF—PATsTrading occupies a similar subscriber tier of approximately 37,000. These peers also operate within the finance niche, though they may vary in their specific focus, such as ETF analysis or broader market commentary. The overlap in subscriber counts between PATsTrading and these creators suggests a highly competitive landscape where viewers often cross-pollinate between channels to gain diverse perspectives on market movements. Brands looking to reach this audience should note the high level of technical literacy required to engage with the content, which typically results in a more focused and targeted viewer segment compared to general finance channels.

PATsTrading's growth and performance

The growth trajectory for PATsTrading has been tracked over a 61-day period between July 22, 2026, and September 21, 2026. During this timeframe, the channel increased its subscriber count from 36,800 to 37,000, representing a net gain of 200 subscribers. This indicates a steady, incremental growth pattern consistent with a mature, niche-focused educational channel. While the absolute growth rate is modest, it reflects a stable retention of the existing audience base. We do not yet have view-count history data available to correlate these subscriber gains with specific content performance during this 61-day window. The channel’s historical volume of 2,944 videos suggests that the current growth is the result of a long-term accumulation of content rather than a singular breakout event. Future analysis will require additional snapshots to determine if this growth trend accelerates or maintains its current linear progression.

How our pricing estimate works for PATsTrading

The valuation and performance metrics provided for PATsTrading are generated through a proprietary algorithmic model designed to standardize creator data across the influencer economy. Our estimates for video integration pricing are calculated by multiplying the channel's average view count by a niche-specific CPM (Cost Per Mille) band, further adjusted by platform and format-specific multipliers. For this profile, we utilized an average view count of 1,780 and a niche CPM band of $45 to $75 to establish the low, typical, and high price estimates. These figures are intended to provide a factual baseline for market value rather than a subjective appraisal. We categorize creators into tiers, such as the nano-tier classification assigned here, based on total subscriber volume. For a comprehensive explanation of the variables, weighting, and data-processing logic used to derive these figures, please consult our /methodology page.