GSCI fell to 719.33 Index Points on March 27, 2026, down 0.11% from the previous day. Over the past month, GSCI's price has risen 13.77%, and is up 28.34% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. GSCI Commodity Index - values, historical data, forecasts and news - updated on March of 2026.

Graph and download economic data for Global Price Index of All Commodities (PALLFNFINDEXQ) from Q1 1992 to Q4 2025 about World, commodities, price index, indexes, and price.

CRB Index rose to 457.52 Index Points on March 26, 2026, up 1.55% from the previous day. Over the past month, CRB Index's price has risen 16.06%, and is up 22.67% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. CRB Commodity Index - values, historical data, forecasts and news - updated on March of 2026.

📈 Global Commodities Market Dataset (1997–Present)

Overview

This dataset provides a comprehensive historical record of global commodity prices across energy, metals, agriculture, and construction-related commodities. It is designed for time-series analysis, forecasting, econometrics, quantitative finance, and machine learning research.

The dataset aggregates daily market data spanning more than two decades, enriched with engineered temporal features to support predictive modeling and pattern discovery.

📊 What’s Inside

• Time Span: October 1997 → Recent years
• Frequency: Daily
• Total Rows: 7,103
• Total Features: 131 columns

Each commodity includes standard OHLCV-style market data where available.

🛢️ Covered Commodity Categories

Energy

• Crude Oil (WTI)
• Brent Oil
• Natural Gas

Precious & Industrial Metals

• Gold
• Silver
• Copper
• Aluminum
• Zinc
• Nickel
• Lead

Agricultural Commodities

• Corn
• Wheat
• Soybeans
• Rice
• Cotton
• Sugar
• Coffee
• Cocoa

Construction & Industrial Inputs

• Lumber

📌 Feature Breakdown

1. Market Price Data

For each commodity, the dataset may include: - Open - High - Low - Close - Volume

Note: Some commodities have missing values during early years due to data availability.

2. Temporal & Calendar Features

To enable advanced time-series modeling and seasonality analysis: - Year - Month - Quarter - Day_of_Week - Week_of_Year

These features are pre-engineered for immediate use in ML pipelines.

🧠 Ideal Use Cases

• Commodity price forecasting
• Inflation and macroeconomic analysis
• Volatility modeling
• Correlation and co-movement studies
• Feature engineering practice for time-series ML
• LSTM / Transformer-based forecasting models
• Algorithmic trading research (educational)

⚠️ Notes on Data Quality

• Missing values exist, especially in earlier years for some commodities.
• Users are encouraged to apply:
  • Forward-filling
  • Interpolation
  • Asset-specific filtering
• Prices are nominal and not inflation-adjusted.

📂 File Format

• CSV
• UTF-8 encoded
• Ready for use with:
  • Pandas
  • NumPy
  • Scikit-learn
  • PyTorch / TensorFlow
  • R

This dataset provides comprehensive historical price data for a variety of essential commodities over several decades. It is an invaluable resource for analysts, researchers, and enthusiasts interested in the historical trends and patterns of commodity prices. The data spans various timeframes, with each file containing yearly price data for a specific commodity.

Corn fell to 462 USd/BU on March 27, 2026, down 1.07% from the previous day. Over the past month, Corn's price has risen 6.64%, and is up 1.93% 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 March of 2026.

Commodity prices are updated in the second business day of the month. Commodity price forecasts are updated twice a year (April and October). The Manufacture Unit Value Index (MUV), also updated twice a year, can be found in the in the worksheet “Annual Price” excel file, “Annual Indices (Real)” worksheet. This dataset includes data previously published as the "Global Economic Monitor (GEM) Commodities" and "Manufactures Unit Value Index (MUV Index)". | This dataset contains important information and resources. For comprehensive details, documentation, and inquiries, please contact data@worldbank.org. Additional metadata and related resources are available on this page.

Wheat rose to 605.75 USd/Bu on March 27, 2026, up 0.12% from the previous day. Over the past month, Wheat's price has risen 5.44%, and is up 14.67% compared to the same time last year, 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 March of 2026.

The commodity prices displayed in Trading Economics are based on over-the-counter (OTC) and contract for difference (CFD) financial instruments. Our market prices are intended to provide you with a reference only, rather than as a basis for making trading decisions. Trading Economics does not verify any data and disclaims any obligation to do so. This dataset provides a table with prices for several commodities including the latest price for the nearby futures contract, yesterday close, plus weekly, monthly and yearly percentage changes. This dataset provides a table with prices for several commodities including the latest price for the nearby futures contract, yesterday close, plus weekly, monthly and yearly percentage changes.

View monthly updates and historical trends for All Commodities Price Index. Source: International Monetary Fund. Track economic data with YCharts analytic…

Historical commodity (daily) price from 2000-2022 (March). 1. Gold 2. Palladium 3. Nickel 4. Brent Oil 5. Natural Gas 6. Wheat

• cover image credit: https://www.pexels.com/photo/industrial-machine-during-golden-hour-162568/

This dataset contains historical daily closing prices for significant natural resource futures contracts. It includes comprehensive data covering a range of key commodities such as Crude Oil (WTI and Brent), Gold, Silver, Natural Gas, Corn, Wheat, Soybean, Copper, Platinum, and Palladium.

The dataset provided is particularly suitable for a variety of analytical and predictive purposes, including:

Market trend analysis and visualization to understand price fluctuations and long-term cycles.

Economic research to assess the impact of economic events, policy changes, or supply-demand dynamics on commodity prices.

Building forecasting models, including machine learning and time series predictive analytics, to predict future price movements.

Portfolio optimization and risk management by analyzing commodity correlations and volatility.

Educational purposes, offering practical datasets for training students in economics, finance, statistics, and data science courses.

Due to the nature of historical data collection, certain entries may be missing. For example, there is an instance where an entire month of Platinum price data is absent. Such missing data points can typically be handled effectively by imputing values—calculating an average between the last known entry and the subsequent available entry—without negatively impacting the integrity of analytical studies.

Graph and download economic data for Producer Price Index by Commodity: All Commodities (PPIACO) from Jan 1913 to Feb 2026 about commodities, PPI, inflation, price index, indexes, price, and USA.

Global Commodity Prices - Historical chart and current data through 2025.

Oat fell to 338.61 USd/Bu on March 27, 2026, down 0.19% from the previous day. Over the past month, Oat's price has risen 8.97%, but it is still 3.32% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Oat - values, historical data, forecasts and news - updated on March of 2026.

Steel fell to 3,122 CNY/T on March 26, 2026, down 0.29% from the previous day. Over the past month, Steel's price has risen 1.56%, but it is still 2.68% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Steel - values, historical data, forecasts and news - updated on March of 2026.

This dataset contains daily and monthly prices of key commodities in North Sulawesi, Indonesia, from 2020 to 2025. It was compiled to support research in food security, inflation analysis, and predictive modeling.

Besides commodity prices, the dataset also includes: - Rolling averages (7-day, 30-day) - Lag features (1, 7, 30 days) - Macroeconomic indicators such as CPI (Consumer Price Index) and USD/IDR exchange rate - Weather data: temperature, rainfall, humidity - Calendar information: day count, day in month

This dataset can be useful for: - Forecasting models (ARIMA, LSTM, Prophet, etc.) - Economic analysis of price fluctuations - Policy-making support in agriculture and trade - Machine learning projects combining climate and economic features

A tabular presentation of hitorical commodity prices in United States dollars, 2000 - 2010 (Sources: Ministry of Finance; Ministry of Energy and Mines; Ministry of Forests, Lands and Natural Resource Operations; US Federal Reserve Bank).

➡️A data set on select, monthly commodity prices made available by the World Bank in its so-called "pink sheet." These data are potentially useful for applications on data gathering, inflation adjustments, indexing, cointegration, general economic riff-raff, and more.

Details

All data are in nominal USD. Adjust (to taste) accordingly.

Data compiled by the World Bank for its historical data on commodity prices. The oil price data come from a combination of sources, supposedly Bloomberg, Energy Intelligence Group (EIG), Organization of Petroleum Exporting Countries (OPEC), and the World Bank. Data on coffee prices come from Bloomberg, Complete Coffee Coverage, the International Coffee Organization, Thomson Reuters Datastream, and the World Bank. Data on tea prices for Colombo auctions come the from International Tea Committee, Tea Broker's Association of London, Tea Exporters Association Sri Lanka, and the World Bank. Data on tea prices for Kolkata auctions come from the International Tea Committee, Tea Board India, Tea Broker's Association of London, and the World Bank. Tea prices for Mombasa/Nairobi auctions come from African Tea Brokers Limited, International Tea Committee, Tea Broker's Association of London, and the World Bank. EU sugar price data come from International Monetary Fund, World Bank. Sugar price data for the United States come from Bloomberg and World Bank. Global sugar price data come from Bloomberg, International Sugar Organization, Thomson Reuters Datastream, and the World Bank.

This data set effectively deprecates the sugar_price and coffee_price data sets in this package. Both may be removed at a later point.

Iron Ore rose to 106.14 USD/T on March 26, 2026, up 0.11% from the previous day. Over the past month, Iron Ore's price has risen 7.15%, and is up 3.69% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Iron Ore - values, historical data, forecasts and news - updated on March of 2026.