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Corn fell to 419.27 USd/BU on July 1, 2025, down 0.29% from the previous day. Over the past month, Corn's price has fallen 4.33%, and is down 0.47% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Corn - values, historical data, forecasts and news - updated on July of 2025.
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Graph and download economic data for Producer Price Index by Commodity: Farm Products: Corn (WPU01220205) from Jan 1947 to May 2025 about corn, vegetables, agriculture, commodities, PPI, inflation, price index, indexes, price, and USA.
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Interactive chart of historical daily corn prices back to 1959. The price shown is in U.S. Dollars per bushel.
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China Settlement Price: Dalian Commodity Exchange: Corn: 2nd Month data was reported at 2,365.000 RMB/Ton in Apr 2025. This records an increase from the previous number of 2,250.000 RMB/Ton for Mar 2025. China Settlement Price: Dalian Commodity Exchange: Corn: 2nd Month data is updated monthly, averaging 1,983.500 RMB/Ton from Sep 2004 (Median) to Apr 2025, with 248 observations. The data reached an all-time high of 2,971.000 RMB/Ton in Apr 2022 and a record low of 1,126.000 RMB/Ton in Oct 2004. China Settlement Price: Dalian Commodity Exchange: Corn: 2nd Month data remains active status in CEIC and is reported by Dalian Commodity Exchange. The data is categorized under China Premium Database’s Financial Market – Table CN.ZB: Dalian Commodity Exchange: Commodity Futures: Settlement Price.
This statistic shows the development of corn prices within the American market from 1936 to 2023, per metric ton. In 1956, the price for one bushel of corn in the United States was around 3.97 U.S. dollars. In 2016, one bushel of corn cost about 3.36 U.S. dollars and was projected to decrease to 4.8 U.S. dollars in 2023. The United States was the largest producer of corn worldwide in 2022.
In 2022, the average price of one bushel of corn was around **** U.S. dollars. That year, the United States was the largest producer of corn in the world.
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In 2024, the U.S. wet corn market decreased by -6.9% to $10.5B, falling for the second year in a row after four years of growth. In general, consumption recorded a relatively flat trend pattern. As a result, consumption attained the peak level of $11.9B. From 2023 to 2024, the growth of the market remained at a lower figure.
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Graph and download economic data for Producer Price Index by Commodity: Farm Products: Sweet Corn (WPU01130214) from Jan 1960 to May 2025 about corn, vegetables, agriculture, commodities, PPI, inflation, price index, indexes, price, and USA.
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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.
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)
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)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
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
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
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Explore the key factors influencing corn prices on the Chicago Board of Trade (CBOT), including weather, global trade policies, and economic conditions, and understand how these dynamics impact traders, farmers, and investors in the agricultural commodities market.
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Get statistical data on weekly spot market and forward contract corn prices in Ontario. Data includes: * old and new crop Chicago Board of Trade (CBOT) prices * old and new crop weekly unadjusted basis * old and new crop weekly adjusted basis * old crop weekly cash price * new crop cash price * cash price spread * CBOT price spread * Canadian dollar value * 5-year average for corn basis * 10-year average for corn basis * 10-year average cash price Statistical data are compiled to serve as a source of agriculture and food statistics for the province of Ontario. Data are prepared primarily by Statistics and Economics staff of the Ministry of Agriculture, Food and Rural Affairs, in co-operation with the Agriculture Division of Statistics Canada and various government departments and farm marketing boards.
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The global corn market reached a volume of 1183.43 MMT in 2024. The market is projected to grow at a CAGR of 1.10% between 2025 and 2034, to reach a volume of around 1320.24 MMT by 2034.
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Learn about the factors that impact corn prices in the commodity market, including weather, supply and demand, government policies, and market speculation. Gain insight into this complex market to make informed decisions and plan for changes in this vital commodity cost.
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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
The price per unit of sweet corn for the processing market in the United States amounted to 126 U.S. dollars per ton in 2023. In 2020, price of sweet corn in the U.S. was about 73.8 U.S. dollars per ton.
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This data product provides three Excel file spreadsheet models that use futures prices to forecast the U.S. season-average price received and the implied CCP for three major field crops (corn, soybeans, and wheat).
Farmers and policymakers are interested in the level of counter-cyclical payments (CCPs) provided by the 2008 Farm Act to producers of selected commodities. CCPs are based on the season-average price received by farmers. (For more information on CCPs, see the ERS 2008 Farm Bill Side-By-Side, Title I: Commodity Programs.)
This data product provides three Excel spreadsheet models that use futures prices to forecast the U.S. season-average price received and the implied CCP for three major field crops (corn, soybeans, and wheat). Users can view the model forecasts or create their own forecast by inserting different values for futures prices, basis values, or marketing weights. Example computations and data are provided on the Documentation page.
For each of the three major U.S. field crops, the Excel spreadsheet model computes a forecast for:
Note: the model forecasts are not official USDA forecasts. See USDA's World Agricultural Supply and Demand Estimates for official USDA season-average price forecasts. See USDA's Farm Service Agency information for official USDA CCP rates.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: Webpage with links to Excel files For complete information, please visit https://data.gov.
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China Settlement Price: Dalian Commodity Exchange: Corn: 5th Month data was reported at 2,294.000 RMB/Ton in Apr 2025. This records an increase from the previous number of 2,246.000 RMB/Ton for Mar 2025. China Settlement Price: Dalian Commodity Exchange: Corn: 5th Month data is updated monthly, averaging 2,007.000 RMB/Ton from Sep 2004 (Median) to Apr 2025, with 248 observations. The data reached an all-time high of 3,011.000 RMB/Ton in Apr 2022 and a record low of 1,164.000 RMB/Ton in Sep 2004. China Settlement Price: Dalian Commodity Exchange: Corn: 5th Month data remains active status in CEIC and is reported by Dalian Commodity Exchange. The data is categorized under China Premium Database’s Financial Market – Table CN.ZB: Dalian Commodity Exchange: Commodity Futures: Settlement Price.
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Graph and download economic data for Producer Price Index by Commodity: Processed Foods and Feeds: Corn Mill Products (WPU021409082) from Dec 2009 to May 2025 about corn, mills, processed, food, production, commodities, PPI, inflation, price index, indexes, price, and USA.
Browse Corn Futures (ZC) market data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.
The CME Group Market Data Platform (MDP) 3.0 disseminates event-based bid, ask, trade, and statistical data for CME Group markets and also provides recovery and support services for market data processing. MDP 3.0 includes the introduction of Simple Binary Encoding (SBE) and Event Driven Messaging to the CME Group Market Data Platform. Simple Binary Encoding (SBE) is based on simple primitive encoding, and is optimized for low bandwidth, low latency, and direct data access. Since March 2017, MDP 3.0 has changed from providing aggregated depth at every price level (like CME's legacy FAST feed) to providing full granularity of every order event for every instrument's direct book. MDP 3.0 is the sole data feed for all instruments traded on CME Globex, including futures, options, spreads and combinations. Note: We classify exchange-traded spreads between futures outrights as futures, and option combinations as options.
Origin: Directly captured at Aurora DC3 with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP
Supported data encodings: DBN, CSV, JSON Learn more
Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics Learn more
Resolution: Immediate publication, nanosecond-resolution timestamps
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United States - Producer Price Index by Commodity: Farm Products: Corn was 182.83400 Index 1982=100 in March of 2025, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Commodity: Farm Products: Corn reached a record high of 324.61700 in June of 2022 and a record low of 38.30000 in November of 1960. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Commodity: Farm Products: Corn - last updated from the United States Federal Reserve on June of 2025.
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Corn fell to 419.27 USd/BU on July 1, 2025, down 0.29% from the previous day. Over the past month, Corn's price has fallen 4.33%, and is down 0.47% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Corn - values, historical data, forecasts and news - updated on July of 2025.