Soybeans rose to 1,015.03 USd/Bu on August 15, 2025, up 0.75% from the previous day. Over the past month, Soybeans's price has risen 0.15%, and is up 8.30% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Soybeans - values, historical data, forecasts and news - updated on August of 2025.

Learn about the various factors that influence soybean prices, including supply and demand dynamics, weather conditions, government policies, global trade tensions, and market speculation. Understand how these factors impact the volatility of soybean trading in different marketplaces like futures exchanges.

Grain Stocks Soy in the United States decreased to 1.02 Billion Bushels in the second quarter of 2025 from 1.91 Billion Bushels in the first quarter of 2025. This dataset provides - United States Quarterly Grain Stocks - Soy- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Learn about the US soybean futures market, its contract specifications, trading hours, factors influencing prices, hedging and speculation opportunities, contract delivery options, and its importance in managing price risks associated with soybean production, processing, and trading.

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.

Soybean Index: A Reliable Indicator of Market Trends?

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

In 2023, the balance of trade (BoT) for soybean in Latin America and the Caribbean was ***** billion U.S. dollars. That year, exports of soybean reached ** billion U.S. dollars, while imports amounted to ***** billion dollars.

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

This dataset shows the long-run projections (Soybean 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.

The soybean futures price chart is a valuable tool for traders, investors, and analysts to track historical prices and patterns of soybean futures. Learn how to analyze candlestick charts and make informed trading decisions using this comprehensive resource.

Global Soybean Trade Balance, Forecast 2019-2028 by Country, 2024 Discover more data with ReportLinker!

This statistic depicts the average annual prices for soybeans from 2014 through 2026*. In 2024, the average price for soybeans stood at 462 nominal U.S. dollars per metric ton.

Egypt Exports of soybean oil and its fractions, not chemically modified to Syria was US$109.05 Thousand during 2023, according to the United Nations COMTRADE database on international trade. Egypt Exports of soybean oil and its fractions, not chemically modified to Syria - data, historical chart and statistics - was last updated on July of 2025.

United States - Producer Price Index by Commodity: Chemicals and Allied Products: Crude Soybean Oil, Degummed, Made from Soybeans Crushed in the Same Establishment was 152.31400 Index Dec 2007=100 in May of 2025, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Commodity: Chemicals and Allied Products: Crude Soybean Oil, Degummed, Made from Soybeans Crushed in the Same Establishment reached a record high of 152.79200 in March of 2025 and a record low of 69.20000 in August of 2018. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Commodity: Chemicals and Allied Products: Crude Soybean Oil, Degummed, Made from Soybeans Crushed in the Same Establishment - last updated from the United States Federal Reserve on July of 2025.

The Soybean Market Report is Segmented by Geography (North America, Europe, Asia-Pacific, and More). The Report Includes Production Analysis (Volume), Consumption Analysis (Value and Volume), Export Analysis (Value and Volume), Import Analysis (Value and Volume), and Price Trend Analysis. The Market Forecasts are Provided in Terms of Value (USD) and Volume (Metric Tons).

152 Global import shipment records of Soybeans with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Prospective Plantings Soy in the United States decreased to 83.50 Million Acres in 2025 from 86.51 Million Acres in 2024. This dataset includes a chart with historical data for the United States Prospective Plantings - Soy.

94877 Global import shipment records of Soy Sauce with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

This data asset contains a time series of commodity balance sheets for soybean oil in Malawi, from 2005 to 2017. This secondary data was compiled from various sources and utilized to specifying a partial equilibrium model for soybeans in Malawi.

Get statistical data on weekly spot market and forward contract soybean 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 soybean basis
• 10-year average for soybean 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.

Transnational corporations play a major, but poorly constrained, role in reallocating global water resources. Here, we couple high-resolution, company-specific trade data with hydrological and crop models to estimate the virtual water trade of the top 10 transnational corporations that trade Brazilian soy. We identify 4429 virtual water flows connecting 1620 Brazilian municipalities with the top-10 soy importing countries and find that the total virtual water flow increased from 43 billion m³ to 100 billion m³ between 2004 and 2018. We find that the largest soy traders displace on average twice as much virtual water as top-importing countries, excluding China. For example, in 2018 Bunge Limited exported 15 Gm³, almost tripling the Netherlands's virtual water import (the second largest importer at about 5 Gm³). Our findings highlight the importance of transnational corporations for achieving water stewardship and sustainable supply chains to support water resource security at municipal and international scales.