Potato Market Intelligence

Potato Correlation Matrix

A potato correlation matrix compares how matched market series move together across regions, products, inputs, freight, weather, and demand. MassGain preserves time period, frequency, lags, and market regime so analysts can distinguish stable economic relationships from coincidental historical co-movement.

Market Data

How to read this market

A potato correlation-matrix dataset compares matched prices, regions, products, costs, crops, freight, energy, currencies, demand, trade, and other relevant series after aligning frequency, units, currency, and time period. The market object is the pairwise relationship together with sample size, lag, confidence, and transformation.

Use the data to screen for common risk, diversification, and candidate explanatory variables and to test whether relationships persist across seasons and shortage regimes. Connect each coefficient with a plausible physical-market mechanism before using it in procurement or risk decisions.

Data Module

Potato Correlation Matrix

Market objectmatched market-series relationships
Primary measurescorrelation, sample size, lag
Key dimensionsregion, product, period, regime
Commercial usediversification and driver screening
Controlsfrequency, currency, transformation
Compare withphysical mechanism and stability
Analysis

Why this matters

Two regions can be weakly correlated in normal years but move together during widespread crop or processor-demand shocks. A single full-sample coefficient can therefore overstate diversification.

Commercial interpretation should test subperiods and mechanisms rather than treat correlation as causation or a hedge ratio. Stable relationships are more useful when the physical reason for co-movement is understood.

Signal 01

Usable Crop Uncertainty Index

UCUI translates crop and market complexity into a simple uncertainty signal. Higher readings indicate greater uncertainty—not necessarily higher prices.

Preview data
Current UCUI
68/100
Moderate-High Uncertainty
+4 points from prior reading
Illustrative value until the live UCUI endpoint is connected.

Understand uncertainty. Anticipate risk. Act earlier.

UCUI is designed to analyze potato-industry publications and data signals across regions, varieties, weather, disease, storage, supply, and demand.

WeatherHigh
DiseaseHigh
StorageMedium
SupplyMedium
Single-day snapshot based on a scan of 11,500+ web and social signals. Get historical and real-time data by clicking the button below.
See Today’s MPI ↓
The MassGain Daily

Today’s market analysis.

A daily editorial synthesis of physical potato data, crop signals, market reporting, and what participants should watch next.

Signal 02

MassGain Potato Index

Independent physical-pricing intelligence and market-trend analysis for procurement, forecasting, contracting, and scenario planning.

Preview data
Core Russet Carton Median
312.45 USD/MT
Latest qualifying physical-market observation
+4.75 (+1.55%)
Illustrative presentation until the live MPI endpoint is connected.

Price discovery for the physical potato market

MPI is designed to track physical pricing data, price trends, deltas, and divergences across regions and potato types.

Series window45 days
Current public coverageCore russet cartons
Primary source basisQualifying USDA physical rows
UnitUSD per metric tonne
Single-day snapshot based on most recent 45 days worth of data. Limited to US Russets only. Get more complete, global data about all varieties by clicking the button below.
See Today’s MSR ↓
Signal 03

MassGain Spot Reference

An independent spot reference designed for price discovery, contract discussions, procurement comparisons, and risk modeling.

Illustrative only
Russet Burbank — U.S. Midsize
305 USD/MT
Demonstration reference format
+1.6% WoW · Confidence: High
Not a current market reference. This value is included only to preview the MSR presentation.

A trusted benchmark for pricing, contracts, and risk

MSR is intended to use real transactions and verifiable physical-market data to support negotiations, price checks, contracting, and risk models.

ProductRusset Burbank
SpecificationU.S. midsize, 40–70 count
Reference typePhysical spot benchmark
StatusIn development
Based on most recent 45 days worth of data. Limited to US Russets only. Get more complete, global data about all varities by clicking the button below. Full access also includes historical data -- including depreciated NYMEX/CBOE/EEX spot references -- projections, trends, and AI-driven insights.
Explore MassGain Access ↓
The MassGain Product Ladder

From insight to intelligence to action

Four integrated products built for the physical potato market, delivered through public pages, reports, exports, dashboards, and API access.

1

Content

Original research, commentary, aggregated news, and market updates.

  • What matters right now?
  • What is happening out there?
2

UCUI™

Usable Crop Uncertainty Index: an AI-powered signal of crop risk and market uncertainty.

  • Understand uncertainty
  • Anticipate risk
  • Act earlier
3

MPI™

MassGain Potato Index: independent physical-pricing intelligence and trend analysis.

  • Price discovery
  • Regional trends
  • Procurement planning
4

MSR™

MassGain Spot Reference: an independent benchmark for price discovery and risk modeling.

  • Contracts
  • Negotiations
  • Risk models

Content + UCUI + MPI + MSR + API access

Get historical series, regional detail, constituent data, exports, alerts, and direct data access.

Overview

Who is this for?

This page is for procurement analysts, finance teams, and market researchers that need a potato correlation matrix across prices, costs, regions, products, and market drivers. MassGain can compare potato benchmarks with acreage, yield, stocks, freight, energy, vegetable oil, currencies, grains, finished-product demand, or other relevant series after aligning units, frequency, currency, and time period.

The matrix helps identify diversification, common drivers, and candidate explanatory variables, but MassGain also shows observation counts, confidence, lags, and stability across subperiods. Procurement can see whether two sourcing regions truly diversify crop risk. Finance can test whether input costs tend to move together. Analysts can identify relationships worth deeper causal study and detect correlations created by seasonality or broad inflation. Regime-specific views can reveal relationships that disappear during shortages.

Correlation does not prove causation or guarantee future co-movement. Missing data, common trends, revised series, and thin observations can produce misleading coefficients. MassGain documents transformations, windows, data vintages, and statistical uncertainty and links the result with physical-market mechanisms. Users can therefore use the matrix as a disciplined screening and portfolio tool rather than treating one historical coefficient as a hedge or forecast.

Use Case

A processor believes sourcing from two regions provides diversification. MassGain’s matrix shows their prices are weakly correlated in normal years but highly correlated during widespread weather shocks because both rely on the same processing-demand cycle. Procurement adds a third origin with different crop timing.

FAQs

What can a potato correlation matrix compare?

It can compare prices, regions, products, costs, crops, demand, trade, weather, and financial variables.

Why test different periods?

Relationships can change across seasons, shortages, policy shifts, and market regimes.

How does MassGain prevent misuse?

It reports sample size, transformations, confidence, lags, stability, and economic rationale.

Put this market intelligence to work

Get historical data, regional detail, benchmarks, alerts, exports, and API access tailored to your procurement
and market-analysis needs.

Data and Methodology

Professional market-data standards

MassGain is building transparent public market infrastructure. Each live metric will identify its date, unit, coverage, methodology, and source basis.