TradingLounge

About TradingLounge

TradingLounge, operating under the handle @elliott_wave on YouTube, is an Australian-based financial content creator. The channel, managed by Trading Levels Pty Ltd (AFSL 317817), focuses on financial analysis, trading strategies, and portfolio management tools. The content is primarily centered around the Elliott Wave theory, complemented by AI and algorithmic trading insights. The channel's founder, Peter Mathers, brings extensive experience to the platform, having actively traded since 1982. His career began at a Japanese futures trading company, followed by roles at various brokering houses in Sydney, where he deepened his understanding of derivative markets. Mathers further expanded his expertise by studying the UK and US markets. TradingLounge has published 5,825 videos, accumulating a total of 5,528,981 views. With 117,000 subscribers, the channel serves an audience interested in advanced financial market analysis and trading methodologies.

TradingLounge's estimated sponsorship rates

TradingLounge's estimated rate for an integrated video on YouTube ranges from $979 to $1,632, with a typical rate of $1,197. This pricing places TradingLounge within the mid-tier for creators. The financial niche generally commands higher CPMs, with an anchor CPM of $55, falling within a band of $45-75. This elevated CPM reflects the specialized and high-value nature of financial content, which often attracts advertisers in fintech, investment platforms, and financial education. The rate is influenced by the channel's subscriber count of 117,000 and the estimated views per video, which are currently projected at 21,762 based on a subscriber fallback model due to the absence of recent average view data. The volume of content, with 5,825 videos published, also contributes to the channel's perceived value and expertise within its domain. The Australian origin of the creator may also factor into regional advertising budgets and targeting.

Who should partner with TradingLounge?

TradingLounge's audience consists primarily of individuals interested in financial markets, trading strategies, and investment analysis. Given the channel's focus on Elliott Wave theory, AI, and algorithmic trading, its viewership likely includes active traders, investors, financial professionals, and individuals seeking advanced market insights. The content is particularly relevant to those engaged with derivative markets, futures, and portfolio management. Brands in categories such as fintech apps, online brokerages, personal-finance education platforms, investment research tools, and trading software would find this audience highly targeted. The channel's subscriber count of 117,000 places it in a similar tier to peers like ACE ETF (@ace_etf) and El Hombre de la Bolsa (@elhombredelabolsa), both of which also have 118,000 subscribers and operate within the broader finance niche. This suggests a consistent audience size for creators specializing in detailed financial market commentary and educational content.

TradingLounge's growth and performance

TradingLounge's subscriber growth data is limited to a single snapshot. The channel was first tracked on May 28, 2026, with 117,000 subscribers. The latest snapshot, also from May 28, 2026, shows the same subscriber count. Over this one-day span, the channel experienced a delta of +0 subscribers. We do not yet have historical data to analyze long-term subscriber trends or significant growth periods. Additionally, average view data for the last 30 days is not available, which would typically provide insight into recent content performance and audience engagement. Further tracking will be necessary to establish a comprehensive growth profile for @elliott_wave.

How our pricing estimate works for TradingLounge

The estimated pricing for TradingLounge's integrated video content is generated through an algorithmic model. This calculation considers several key factors, including the creator's subscriber count, the niche-specific CPM (cost per mille, or cost per thousand views), and various platform and format multipliers. For TradingLounge, the finance niche commands a higher CPM, which is factored into the estimate. The current view basis for the estimate is 21,762, derived from a subscriber fallback model due to the absence of recent average view data. This approach provides a data-driven estimate of potential advertising costs. A comprehensive explanation of the methodology, including details on how niche CPMs are determined and the application of platform-specific multipliers, can be found on our /methodology page.