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The DataCrop Blog

Reading the market before the invoice.

Post-mortems, methodology, and field notes on forecasting commodity prices from public USDA and Federal Reserve data — written by the team that builds the model.

Title card reading "Timing the harvest buy is a plumbing problem." above the four DataCrop endpoints used in the article: series, procurement signal, procurement margin, and forecasts.
Time the Buy

Timing the harvest buy: margin, volatility, and the drivers that matter

Timing a grain buy isn't a crystal-ball problem - it's a plumbing problem. Here's the whole thing as four documented API calls instead of two days of parsing USDA files.

July 28, 20268 min read
Read the post
Chart headed "The point call is a coin flip. The range is the value." — a headline this article has since corrected — showing DataCrop's P50 forecast, a naive last-week baseline, and actual corn prices clustered together inside a shaded green P10-P90 band over 12 weeks.
Forecast Honesty

We publish our misses. Here's how honest our grain forecast really is.

Most forecast tools show you the one chart that worked. We show the scoreboard - including the week we measured our own band against a homemade one and lost. What we publish instead of an accuracy claim, and why the baseline ships inside every response.

July 23, 202610 min read
Large -29% headline for winter wheat production year over year, beside a rising weekly wheat-price line chart, with DataCrop branding.
The Forecast Is the Content

Wheat fell 29%. The signal was in public data by April.

On July 10, USDA confirmed winter wheat production fell 29% year over year - the kind of move that torches a food manufacturer's margin plan. The signal was in the public data by spring.

July 15, 20266 min read

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