Allen Reminick, Market Forecast Mastery
@allenreminickmarketforecast· YouTube·Finance·United States· data refreshed 2026-11-05View channel ↗- Subscribers
- 16K
- Average views
- 12.9K last 25 videos
- 90-day growth
- +3.4%
- Brand partners seen
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About Allen Reminick
Allen Reminick, Market Forecast Mastery (@allenreminickmarketforecast) is a finance creator on YouTube based in United States, with 16K subscribers, 1.45M total views and 376 videos.
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.
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. 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.
Who should partner with Allen Reminick?
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. The engagement is driven by a desire for data-driven insights and predictive models in the stock and commodity markets.