Sold by: Descartes Labs
Deployed on AWS
Mitigate inflation and price volatility with an underutilized source of edge in the markets: geospatial intelligence. Descartes Labs' packaged analytics provide market price forecasts for the world’s most liquid exchange-traded agricultural futures and derivatives.
Overview
Data Product Overview
Descartes Labs' daily soybean meal price forecasts provide procurement or trading professionals with early insight into supply and demand factors that affect agricultural market prices and volatility. Derived from a 20+ petabyte lake of cleansed geospatial data, the forecasts evaluate a vast array of predictive features across the following categories:
- Weather and climate phenomena
- Crop health, yield, and harvesting
- Supply chain logistics, freight, and shipping
- Government statistics and public data
- Macro, energy, and other market data
The result is a sophisticated ensemble of models built using over ten years of historical data.
This sample contains CBOT soybean meal price forecasts for the second, third, or fourth back-month futures contract at two forecast horizons in the future: ten and thirty market days.
Use Cases
Procurement
- Reduce costs of direct procurement purchasing/hedging operations
- Mitigate physical and pricing risk exposure to commodities and their derived ingredients
- Gain an alternative view of the markets that can be used to generate significant cost savings (over traditional benchmarks) and reduce volatility-induced price risk
Trading
- Generate alpha in volatile markets that experience frequent regime transitions due to a variety of temporally influential drivers
- Incorporate geospatial intelligence into existing fundamental and technical analysis
- Leverage proprietary price forecasts to complement existing strategies
Metadata
| Description | Value |
|---|---|
| File format | Comma-separated values file, .CSV |
| Data start date | 2009-01-02 |
| Data end date | 2022-03-31 |
| Time period | Approximately 13 years |
| Data periodicity | Daily |
| Update frequency | Quarterly |
| Key fields / data schema | run_date: YYYY-MM-DD, target_date: YYYY-MM-DD, run_date_contract: string, target_date_contract: string, forecast: float |
| Forecast horizons | 10-days, 30-days |
| Applicable financial instruments | Soybean Meal Futures / CME Group CBOT Exchange |
| Original publisher of data | Descartes Labs, Inc. |
This listing contains sample price forecasts for the soybean meal futures contract traded on the CME Group’s CBOT exchange. For each day in the historical sample epoch, a forecast of the open price of the then-current second, third, or fourth back-month futures contract (depending on forecast horizon) is provided at two forecast horizons in the future: ten and thirty market days.
The sample contains one .csv file for each of the 10-day and 30-day forecast horizons. Each file contains a time-series with each row representing a date and the following columnar data (by date): model run date, forecast/target date, front-month futures contract as of run date, futures contract forecasted, and forecasted price at target date.
The data set is updated quarterly (according to the calendar year) and includes data for the most recently elapsed quarter. For example, on June 17, 2022, the .csv files in the data set will contain data up to March 31, 2022.
Need Help?
If you have questions about our products, contact us at support@descarteslabs.com .
Who We Are
Descartes Labs is a technology company that automates the analysis of geospatial data to help organizations answer key questions about the physical world. With our SaaS platform, we enable the analysis of earth observation data at scale, providing services and solutions across commodity sourcing and forecasting, resource exploration, and climate resilience, while also supporting diverse federal government efforts to gather, analyze, and provide actionable insights from geospatial data. Descartes Labs has over 120 employees and is headquartered in Santa Fe, New Mexico.
Details
Sold by
Categories
Delivery method
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Vendor refund policy
Refunds are not offered for this product.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
Descartes Labs - Commodity Price Forecasts for Soybean Meal - Free Trial | Last 1 revisions | No future revisions | Not included | Not included |
Resources
Vendor resources
Similar products
Better sourcing decisions begin with real world, asymetric intelligence. Commodity IQ provides past and future pricing, lead time, inventory, and demand signals for over 300 commodities. These unmatched insights enable procurement team decision support like negotiating more effectively, planning RFQs timed to market decreases, or building inventory in supply challenged areas.
This product contains a historical time-series data of the U.S. Bureau of Labor Statistics, Producer Price Index by Commodity: All Commodities (PPIACO) retrieved from the Federal Reserve Bank of St. Louis Economic Data (FRED) at https://fred.stlouisfed.org/series/PPIACO. Data coverage starts from 1913-01-01. The data column is based on Index 1982=100 and the values are not seasonally adjusted. The update frequency is monthly.
By answering a set of foundational questions, you learn how well your trading architecture aligns with AWS best practices and gain clear guidance for making improvements
Gain a comprehensive report outlining the core capabilities and technologies to facilitate the development of your future trading application on AWS. This engagement is a four week, two part capability assessment.
Supplyframe DirectSource is a solution that can model sourcing strategies from a part to a volume BOM level for an enterprise view of total spend and potential savings. The ability to send and receive quotes rounds out an end to end sourcing solution driving resilient supply and higher cost savings.