Wheat rose to 534.25 USd/Bu on September 17, 2025, up 0.05% from the previous day. Over the past month, Wheat's price has risen 6.27%, but it is still 7.21% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Wheat - values, historical data, forecasts and news - updated on September of 2025.

Wheat trading news provides essential information about the price, supply, demand, and other factors affecting the global wheat market. Traders, farmers, and investors closely monitor wheat trading news to make informed decisions and stay updated with the latest market trends. Learn about the various factors influencing wheat prices, such as weather conditions, government policies, demand patterns, international trade, and expert analysis.

The dataset contains daily price ranges calculated from the daily high and low prices for Chicago Wheat, Corn, and Oats futures contracts, starting in 1877. The data is manually extracted from the ``Annual Reports of the Trade and Commerce of Chicago'' (today, the Chicago Board of Trade, CBOT, which is part of the CME group).

The price range is calculated as Ranget = ln(Ht) - ln(Lt), where Ht and Lt are the highest and lowest price observed on trading day t.

Description of the dataset:

Date: The trading day, format dd-mm-yyyy

Range_W_F1: Price range Wheat futures, First expiration (nearby contract)

Range_W_F2: Price range Wheat futures, Second expiration

Range_C_F1: Price range Corn futures, First expiration (nearby contract)

Range_C_F2: Price range Corn futures, Second expiration

Range_O_F1: Price range Oats futures, First expiration (nearby contract)

Range_O_F2: Price range Oats futures, Second expiration

Wheat commodity trading refers to the buying and selling of wheat on regulated exchanges. Learn how traders use futures and options contracts to manage risk and speculate on price movements in the global wheat market.

Grain Stocks Wheat in the United States decreased to 0.85 Billion Bushels in the second quarter of 2025 from 1.24 Billion Bushels in the first quarter of 2025. This dataset provides - United States Quarterly Grain Stocks - Wheat- actual values, historical data, forecast, chart, statistics, economic calendar and news.

The monthly price of wheat (hard red winter) in the United States reached an all time high in May 2022, at over *** U.S. dollars per metric ton. The unprecedented price increase began in mid-2020, due to the impact of the Covid-19 pandemic, and was later exacerbated by the Russo-Ukrainian War in March 2022. Before the war, Russia and Ukraine were among the world's five largest wheat exporters, and around one third of all international wheat imports came from these two countries. The increase of 96 dollars per ton between February and March 2022 was the single largest price hike in U.S. history, and was only the second time that prices had exceeded 400 dollars - the first time this happened was due to the financial crisis of 2008. In the five years before the Covid-19 pandemic, the price of wheat generally fluctuated between 150 and 230 dollars per ton.

Graph and download economic data for Global price of Wheat (PWHEAMTUSDM) from Jan 1990 to Jun 2025 about wheat, World, and price.

This dataset provides values for WHEAT reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

The wheat market is experiencing pressure with declines in winter wheat and mixed results for spring wheat. Export shipments have increased significantly, despite harvest progress lagging slightly behind average.

United States Commodity Trade: Grains: Wheat data was reported at 24.524 Metric Ton mn in 2017. This records a decrease from the previous number of 28.602 Metric Ton mn for 2016. United States Commodity Trade: Grains: Wheat data is updated yearly, averaging 28.531 Metric Ton mn from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 48.191 Metric Ton mn in 1981 and a record low of 14.805 Metric Ton mn in 1968. United States Commodity Trade: Grains: Wheat data remains active status in CEIC and is reported by US Department of Agriculture. The data is categorized under Global Database’s USA – Table US.B069: Agricultural Demand and Supply Estimates. Exports Only

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

TR/CC CRB Wheat Index: A Reliable Indicator of Global Wheat Prices?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Learn about the factors that impact the volatile price of wheat in the market, including weather conditions, global production levels, government policies, and market speculation. Find out how global trade dynamics, currency exchange rates, and demand from end-users also influence wheat prices. Get real-time updates on wheat market prices from reliable financial news sources or commodity trading platforms.

This data product contains statistics on wheat-including the five classes of wheat: hard red winter, hard red spring, soft red winter, white, and durum-and rye. Includes data published in the monthly Wheat Outlook and previously annual Wheat Yearbook. Data are monthly, quarterly, and/or annual depending upon the data series. Most data are on a marketing year basis, but some are calendar year.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: Web page with links to Excel files For complete information, please visit https://data.gov.

This dataset shows the long-run projections (Wheat Trade) for the US agricultural sector to 2031 includes assumptions for the US and international macroeconomic conditions and projections for major commodities, farm income, and the US agricultural trade value. Values are from the publication United States Department of Agriculture (USDA) Agricultural Projections to 2032, October 2021.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Wheat Futures: A Threat to Employment in Agriculture?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Wheat futures rebounded early Friday, supported by USDA export sales data and strong global demand, with key wheat contracts showing gains.

Exports of Wheat in the United States increased to 547.96 USD Million in February from 468.84 USD Million in January of 2024. This dataset includes a chart with historical data for the United States Exports of Wheat.

The United States exported some *** million bushels of wheat in 2023/24, and imported about *** million metric tons of wheat in that time period. Wheat production in the U.S. In 2021/22, the United States had the ***** largest production volume of wheat worldwide, at about **** million metric tons. Within the United States, a handful of states produce a large share of the country’s wheat. In 2022, North Dakota was the U.S. state that cultivated the highest volume of wheat, followed by Kansas and Washington. Global wheat trade About ***** million metric tons of wheat were exported worldwide in 2021/22, up from ***** million metric tons in the previous year. In 2022/23, the United States has been the ***** leading exporter of wheat, flour, and wheat products in terms of export volume, behind Russia, the EU, Australia, and Canada. Russia exported some **** million metric tons of wheat and flour in the 2022/23 fiscal year. In that time period, Egypt and Indonesia were tied as the top importers of wheat, flour, and wheat products at ** million metric tons each.

Analysis of the recent surge in wheat futures, driven by speculative short-covering and strong export sales data, with a look ahead at influential weather patterns.

The Latin American and Caribbean wheat market saw trade deficits of more than *********** U.S. dollars from 2016 to 2019. In the latter year, the commercial balance of wheat in the region fell to nearly **** billion U.S. dollars. That same year, Brazil, Mexico, and Argentina were among the main wheat consumers in the region.