Grain Market Research for Commercial Decision-Makers
Data-driven insights and quantitative forecasts designed to support elevators and grain trading teams in navigating today’s markets with clarity and consistency.
Data-Driven Research Designed for Grain Markets
Quantum Hedging’s Research Product provides data-driven insights for elevators, grain trading teams, and commercial merchandising groups. Our goal is to bring clarity to uncertain market conditions using structured, quantitative analysis rather than narratives and guess-work.
This resource includes:
Quantitative Forecast Highlights (Once per week)
Covering corn, soybeans, and spreads with weekly updates.Analytical Insights
A concise breakdown of the week’s key market features and their influence on directional tendencies.Probability Visuals (One-Month Ahead)
A consistent overview of short-term directional bias based on model outputs.Explanatory Data Commentary
Clear insights from our research team about what key features are driving our model forecastsWeekly Video + Podcast Discussion
Partners, Kevin McNew and Cy Monley walk through model signals and the key market dynamics each week.
Designed for Elevators and Merchandising Desks
Our research delivers hard-hitting, probabilistic market signals that separate the 55% hunches from the 80% convictions. Built on a transparent, model-driven framework, we arm grain buyers, merchandisers, and trading managers with consistent, quant-backed clarity—replacing gut feel with sharp, systematic insight. It’s time to ditch the subjective and trade with confidence.
Relationship to Managed Bushels
Our Research Product provides the analytical framework behind our Managed Bushels programs.
While our Managed Bushels is a target-based pricing service, the research provides a transparent lens into the data and features influencing our directional views.
Access to the Research Product helps commercial teams understand the modeling logic that underpins our broader approach to grain markets.
Information provided in this research is for educational and informational purposes only and is not intended as trading advice or a recommendation to buy or sell futures, options, or physical grain.
Forecast highlights and analysis reflect model-driven outputs and historical relationships that may not predict future outcomes.
Past performance is not necessarily indicative of future results.
