Allen Reminick
@allenreminickmarketforecast
You -- yes, you -- can FORECAST the market. Allen can teach you how. Innovative time-tested wave patterns, and why markets move with them. The 26 computerized algorithms behind the services, custom research, and courses by Allen Reminick are from 40+ years of market insights. The algorithms, based on solid theoretical principles, are models that are not simple curve-fit to past data. They are, for the most part, unique and not available elsewhere. Allen discovered that some principles of space/time curvature in Riemannian Geometry can also be applied to modeling stock and commodity market behavior. His tools are purely quantitative and involve cycle-type structures (not sinusoidal, in most cases), and they more accurately forecast future high and low points in the markets than traditional cycle theory. Allen extensively studied with Dr. Jerry Baumring, a renowned expert on W. D. Gann.
14.5K
Subscribers
1.2M
Total views
360
Videos
11.6K
Avg views (recent)
15-video sample · 2026-07-15
Estimated rate · Integrated video
Avg views · niche CPM · High confidenceLow
$520
Typical
$636
High
$867
- Niche CPM
- $45–75anchor $55
- Avg views
- 11,557per recent video
- Format mult
- 1.00×
- Exclusivity
- No exclusivitybaseline
Estimated · benchmark only · not claimed by creator. How this works →
Influence profile
Display only · not a price input- Size tier
- Nano (10K–50K)
- Activity
- Highly activeratio 0.797 · n=15
- Niche
- Finance
- Country · language
- United States· en
- US equities coverage
- Not flagged
- SEC §17(b) disclosure
- Not assessed
About Allen Reminick
Allen Reminick, operating under the handle @allenreminickmarketforecast on YouTube, is a US-based creator focused on financial market analysis and forecasting. The channel provides content centered on "innovative time-tested wave patterns" and their application to market movements. Reminick's methodology incorporates 26 computerized algorithms, described as unique and not widely available, which are the product of over 40 years of market insights. These algorithms are based on theoretical principles, rather than simple curve-fitting to historical data. A distinctive aspect of Reminick's approach involves applying principles from Riemannian Geometry, specifically related to space/time curvature, to model stock and commodity markets. The channel has published 347 videos and accumulated a total of 1,013,162 views. With 12,500 subscribers, Allen Reminick operates within the finance education niche, offering specialized insights into market dynamics and predictive modeling.
Allen Reminick's estimated sponsorship rates
The estimated rate for an integrated video on Allen Reminick's YouTube channel ranges from $79 to $197, with a typical rate around $131. This pricing places the creator in the 'low' audience tier, reflecting the current subscriber count of 12,500. The rate is primarily influenced by the channel's audience size and its specific niche within the finance category. Finance content often commands higher CPMs (cost per mille) compared to broader categories due to the high intent and disposable income of the audience interested in investments and market analysis. While the subscriber count is a key factor, the specialized nature of Reminick's content, focusing on algorithmic market forecasting and advanced theoretical models, contributes to its value proposition. The US geographic base also typically supports higher advertising rates compared to some other regions. The rate estimate is derived algorithmically, considering these factors, though specific community data points for calibration are not yet available for this creator.
Who should partner with Allen Reminick?
Allen Reminick's audience on YouTube, totaling 12,500 subscribers, is primarily interested in financial market analysis, investment strategies, and advanced forecasting techniques. The content's focus on "wave patterns" and algorithmic trading suggests an audience that includes retail investors, day traders, and individuals seeking to deepen their understanding of market mechanics beyond conventional analysis. This demographic is likely to engage with brands in categories such as fintech apps, online brokerage platforms, investment education services, and financial data providers. Given the channel's emphasis on sophisticated algorithms and theoretical principles, the audience may also include those with a background in mathematics, computer science, or quantitative finance. In comparison to peers like Specialist Share Education (@specialistshareeducation, 12,300 subscribers) and Market to Money (@markettomoney6508, 13,100 subscribers), Reminick's channel caters to a similar segment of the finance community, albeit with a distinct methodological approach. The engagement is driven by a desire for data-driven insights and predictive models in the stock and commodity markets.
Allen Reminick's growth and performance
Allen Reminick's channel, @allenreminickmarketforecast, was first tracked on 2026-05-12 with 12,500 subscribers. As of the latest snapshot on the same date, the subscriber count remained at 12,500. This represents a zero-subscriber change over a one-day tracking period. We do not yet have historical data spanning a longer duration to assess subscriber growth trends or viewership patterns over time. Information regarding average views over the last 30 days is also not available at this time. Future tracking will provide more comprehensive data on subscriber acquisition rates, view count history, and overall channel momentum. The channel's total views stand at 1,013,162 across 347 published videos.
How our pricing estimate works for Allen Reminick
The estimated pricing for an integrated video on Allen Reminick's channel is generated through an algorithmic model. This model takes into account several key variables, including the creator's subscriber count, the typical CPM (cost per mille) for their primary niche (finance), and specific platform and format multipliers relevant to YouTube video integrations. The finance category generally commands higher CPMs due to the high value and specific intent of its audience. The current estimate is based on a metric-driven approach, as community data points for calibrating this specific creator's pricing are not yet available. The model aims to provide a data-driven range that reflects market conditions and creator-specific attributes. For a detailed explanation of the variables, calculations, and data sources used in our algorithmic pricing estimates, please refer to our comprehensive methodology page at /methodology.