Elliott Wave Forecast

About Elliott Wave Forecast

Elliott Wave Forecast operates as a prominent technical analysis firm specializing in Elliott Wave theory, with a YouTube presence under the handle @elliottwaveforecast. The channel provides market analysis across a broad spectrum of asset classes, including Forex, commodities, cryptocurrencies, US 10-year notes, world indices, US stocks, and ETFs. The firm's coverage spans 78 markets globally, offering round-the-clock analysis. The team comprises over 10 market analysts, each possessing extensive backgrounds in financial markets and technical analysis. Key personnel include Eric Morera, the Founder, Chief Strategist, and Live Session Host; Daud Bhatti, a Partner, Senior Analyst, and Live Session Host; Hendra Lau, an Analyst and Live Trading Room Host; and Senior Analyst Ayoub ben Rejeb, among others. As of the latest data, the channel has accumulated 41,100 subscribers and 3,492,927 total views across 2,917 published videos. The content is primarily focused on providing detailed technical analysis and market forecasts based on Elliott Wave principles.

Elliott Wave Forecast's estimated sponsorship rates

The estimated rate for an integrated video on the Elliott Wave Forecast YouTube channel ranges from $259 to $647, with a typical rate projected at $432. This pricing places the creator in the 'low' audience tier, reflecting its subscriber count of 41,100. The specific niche of finance and cryptocurrency technical analysis contributes to the valuation, as these categories often command higher CPMs due to the specialized nature of the content and the financial literacy of the target audience. The extensive library of 2,917 videos and a total view count of 3,492,927 indicate consistent content production, which can also influence brand integration value. The rate is further shaped by factors such as the primary language of the content, which is currently unknown, and the creator's US country of origin. For a comprehensive understanding of how these factors are weighted in the pricing model, readers are directed to the /methodology page.

Who should partner with Elliott Wave Forecast?

The audience for Elliott Wave Forecast primarily consists of individuals interested in financial markets, technical analysis, and specifically Elliott Wave theory. Given the channel's focus on Forex, commodities, cryptocurrencies, and various stock market instruments, its viewership is likely composed of active traders, investors, and financial professionals seeking in-depth market insights. Specific brand categories that align well with this audience include online brokerage platforms, financial data and analytics services, trading education platforms, fintech applications, and cryptocurrency exchanges. The channel's subscriber count of 41,100 places it among peers such as The Gavel 【投資総合スクール】 (@thegavel2020) with 41,000 subscribers and MoneySoTasty 金金有味 (@moneysotasty) with 41,200 subscribers, both operating within the broader finance niche. The detailed, analytical nature of the content suggests an audience that values data-driven insights and sophisticated market commentary, making them receptive to brands offering tools and services that enhance trading and investment strategies.

Elliott Wave Forecast's growth and performance

Elliott Wave Forecast's subscriber growth data currently reflects a single snapshot. The channel was first tracked on 2026-05-24 with 41,100 subscribers. The latest snapshot, also taken on 2026-05-24, shows the same subscriber count of 41,100. Over this one-day tracking period, the channel experienced a delta of 0 subscribers. We do not yet have historical view count data or average views for the last 30 days to provide a more comprehensive analysis of recent audience engagement and growth trends. Future tracking will provide a clearer picture of subscriber acquisition rates and overall channel expansion.

How our pricing estimate works for Elliott Wave Forecast

The estimated rates provided for Elliott Wave Forecast are generated through an algorithmic model. This model calculates a projected cost for an integrated video on YouTube by considering several key factors: the creator's subscriber count, the typical Cost Per Mille (CPM) for their specific content niche (finance and crypto), and platform-specific multipliers for YouTube and video format. The current estimate is based on a metric-driven approach, with 0 community data points contributing to its calibration. For a detailed explanation of the variables, weighting, and calculations involved in determining these algorithmic price estimates, please refer to the comprehensive methodology outlined on our /methodology page.