Current UCUI
68/100
Moderate-High Uncertainty
+4 points from prior reading
Potato Market Intelligence
Potato Index Backtesting
Potato index backtesting reconstructs how a benchmark performed against the commercial exposure it was meant to represent. Procurement and governance teams can use point-in-time data to identify bias, lag, concentration, and seasonal or regional failure modes before using an index in contracts.
Market Data
How to read this market
Potato index backtesting compares historical index values with relevant physical-market outcomes such as later transactions, regional cash prices, actual purchases, supplier proposals, or plant costs. The market object must preserve historical constituents, data vintages, revisions, basis, freight, quality, timing, and methodology.
Use backtesting to detect bias, lag, concentration sensitivity, weak regional coverage, and different behavior across harvest, storage, or volatile periods. Test the benchmark against the commercial exposure it is intended to represent rather than against a convenient but unrelated series.
Data Module
Potato Index Backtesting
ObjectHistorical test of benchmark performance
ComparatorsTransactions, cash prices, purchases, costs
DimensionsRegion, product, season, volatility regime
TestsBias, lag, coverage, concentration, basis
Commercial useContract and methodology suitability
WatchpointPreserve point-in-time data to avoid hindsight bias
Analysis
Why this matters
Backtesting matters because an index can track well on average and still fail during the periods when procurement most needs it. Late-storage lag or regional basis breaks may be hidden by full-year statistics.
Historical fit does not guarantee future performance. The value of backtesting is to expose regimes and limitations so users can design timing adjustments, alternative references, or disruption rules before deployment.
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.
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.
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.
September 16, 2026Latest MassGain publication
Potato market steady for now; Russia’s smaller crop is the salient risk
Spot prices are flat and USDA terminal reports read ‘market steady,’ but a renewed forecast for a smaller Russian harvest and recent regional harvest stress leave seasonal import timing and storage losses as the key uncertainty.
Signal 02
MassGain Potato Index
Independent physical-pricing intelligence and market-trend analysis for procurement, forecasting, contracting, and scenario planning.
Core Russet Carton Median
312.45 USD/MT
Latest qualifying physical-market observation
+4.75 (+1.55%)
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.
Signal 03
MassGain Spot Reference
An independent spot reference designed for price discovery, contract discussions, procurement comparisons, and risk modeling.
Russet Burbank — U.S. Midsize
305 USD/MT
Demonstration reference format
+1.6% WoW · Confidence: High
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.
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, benchmark administrators, processors, lenders, and market researchers who need to test whether a potato price index performs reliably before using it in contracts or forecasts. Potato index backtesting compares historical index values with later market outcomes, constituent behavior, regional cash prices, and the commercial exposure the index was intended to represent. MassGain helps teams reconstruct prior periods with consistent data definitions, source timestamps, revisions, and market context so the test evaluates the index rather than a changing dataset.
Backtesting can reveal persistent bias, weak regional coverage, excessive sensitivity to a small number of observations, or delayed response during harvest and storage transitions. Users can compare the index with actual purchase prices, supplier proposals, or plant-level costs while accounting for basis, freight, quality, and contract timing. Results may be segmented by season, geography, product class, and volatility regime. Procurement teams can determine whether an index is suitable for an escalator, finance can assess forecast error, and governance teams can document limitations before deployment. The goal is not to prove that an index predicts every transaction, but to understand when it tracks the intended market well, when it diverges, and which controls or alternative references are needed.
Use Case
A processor tests five years of a proposed regional potato index against its own contract resets and open-market purchases. The backtest shows good alignment after harvest but a recurring lag during late storage, so procurement adopts the index with a one-month timing adjustment and a separate disruption review.
FAQs
What does potato index backtesting measure?
It evaluates how an index behaved historically against relevant prices, transactions, costs, or market outcomes.
Can a backtest prove future accuracy?
No. It identifies historical strengths, weaknesses, bias, and regime sensitivity but cannot guarantee future performance.
Why test by season and region?
Potato markets can behave differently across harvest, storage, geography, product class, and contract channels.
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.
Data provenance
MassGain uses public, licensed, contributed, and independently derived physical-market information. Source availability and publication schedules vary.
Timing and revisions
Figures may reflect the latest available observation rather than a same-day transaction. Source data and MassGain calculations may be corrected, restated, or revised.
Not transactional pricing
MassGain figures are informational reference values and do not constitute executable bids, offers, settlements, or guarantees that a transaction can occur at the displayed value.
No individualized advice
Content and data are provided for informational and analytical purposes and do not constitute financial, investment, legal, trading, or individualized procurement advice.
Independent publication
Certain observations may be derived from USDA reports. MassGain is independent and is not affiliated with or endorsed by the USDA.
Commercial use and licensing
Public display does not grant rights to reproduce, redistribute, republish, or incorporate MassGain indices or references into commercial products or contracts without authorization.