GSCI fell to 542.95 Index Points on June 24, 2025, down 3.51% from the previous day. Over the past month, GSCI's price has risen 1.68%, but it is still 5.96% lower than a year ago, 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 June of 2025.

Corn rose to 417.77 USd/BU on June 27, 2025, up 2.02% from the previous day. Over the past month, Corn's price has fallen 7.37%, and is down 0.71% 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 June of 2025.

Crude Oil fell to 65.98 USD/Bbl on June 24, 2025, down 3.70% from the previous day. Over the past month, Crude Oil's price has risen 8.36%, but it is still 18.37% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Crude Oil - values, historical data, forecasts and news - updated on June of 2025.

Commodity Price: Gold: Closing data was reported at 179,734.000 PHP/Troy oz in 16 May 2025. This records an increase from the previous number of 177,000.000 PHP/Troy oz for 15 May 2025. Commodity Price: Gold: Closing data is updated daily, averaging 79,282.000 PHP/Troy oz from Jan 2014 (Median) to 16 May 2025, with 2492 observations. The data reached an all-time high of 192,576.000 PHP/Troy oz in 22 Apr 2025 and a record low of 49,168.000 PHP/Troy oz in 04 Aug 2015. Commodity Price: Gold: Closing data remains active status in CEIC and is reported by Bangko Sentral ng Pilipinas. The data is categorized under Global Database’s Philippines – Table PH.P: Commodity Price. [COVID-19-IMPACT]

The price index of natural gas dropped sharply in October 2022 after having reached around 893 points in August 2022 relative to the base year of 2016. By August 2024, coal had the highest consumer price index of the selected commodities at 196.6. In other words, coal prices worldwide were nearly two times higher in that month than in 2016. The cost of several commodities, especially energy resources, rose at the end of February 2022 after the Russian invasion of Ukraine.

This dataset provides comprehensive end-of-day (EoD) pricing data for commodities options and futures, offering insights across a variety of currencies. It caters to traders, analysts, and institutions involved in commodity markets, providing critical data for hedging, risk management, and market analysis.

Key features of the dataset include:

End-of-Day Prices: Daily closing prices for a broad range of commodities options and futures. Commodities Coverage: Includes key commodity sectors such as energy (oil, natural gas), metals (gold, silver), agriculture (wheat, corn), and more. Multi-Currency Data: Pricing information is available in various currencies, allowing for global market analysis and cross-currency comparisons. Trading Volume & Open Interest: Data on the number of contracts traded and outstanding positions for market activity insights.

This dataset is essential for those tracking the commodities market, providing actionable data for strategy development, risk management, and financial decision-making.

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The latest closing stock price for Davis Commodities as of June 23, 2025 is 0.88. An investor who bought $1,000 worth of Davis Commodities stock at the IPO in 2023 would have $-826 today, roughly -1 times their original investment - a -58.26% compound annual growth rate over 2 years. The all-time high Davis Commodities stock closing price was 6.98 on November 08, 2023. The Davis Commodities 52-week high stock price is 1.50, which is 70.5% above the current share price. The Davis Commodities 52-week low stock price is 0.40, which is 54.5% below the current share price. The average Davis Commodities stock price for the last 52 weeks is 0.97. For more information on how our historical price data is adjusted see the Stock Price Adjustment Guide.

Interactive chart of historical daily corn prices back to 1959. The price shown is in U.S. Dollars per bushel.

CRB Index rose to 366.18 Index Points on June 26, 2025, up 0.55% from the previous day. Over the past month, CRB Index's price has risen 1.54%, and is up 7.15% 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 June of 2025.

On June 23, 2025, the Brent crude oil price stood at 70.98 U.S. dollars per barrel, compared to 68.51 U.S. dollars for WTI oil and 76.19 U.S. dollars for the OPEC basket. OPEC prices rose that week following expected supply constraints related to the Israel-Iran conflict.Europe's Brent crude oil, the U.S. WTI crude oil, and OPEC's basket are three of the most important benchmarks used by traders as reference for oil and gasoline prices. Lowest ever oil prices during coronavirus pandemic In 2020, the coronavirus pandemic resulted in crude oil prices hitting a major slump as oil demand drastically declined following lockdowns and travel restrictions. Initial outlooks and uncertainty surrounding the course of the pandemic brought about a disagreement between two of the largest oil producers, Russia and Saudi Arabia, in early March. Bilateral talks between global oil producers ended in agreement on April 13th, with promises to cut petroleum output and hopes rising that these might help stabilize the oil price in the coming weeks. However, with storage facilities and oil tankers quickly filling up, fears grew over where to store excess oil, leading to benchmark prices seeing record negative prices between April 20 and April 22, 2020. How crude oil prices are determined As with most commodities, crude oil prices are impacted by supply and demand, as well as inventories and market sentiment. However, as oil is most often traded in future contracts (whereby a contract is agreed upon, while the product delivery will follow in the next two to three months), market speculation is one of the principal determinants for oil prices. Traders make conclusions on how production output and consumer demand will likely develop over the coming months, leaving room for uncertainty. Spot prices differ from futures in so far as they reflect the current market price of a commodity.

Interactive chart of historical daily soybean prices back to 1971. The price shown is in U.S. Dollars per bushel.

Interactive chart illustrating the performance of the Dow Jones Industrial Average (DJIA) market index over the last ten years. Each point of the stock market graph is represented by the daily closing price for the DJIA. Historical data can be downloaded via the red button on the upper left corner of the chart.

Retail Sales Nowcast: YoY: Contribution: Agriculture Price: Wheat Futures: Strong: China: Zhengzhou Commodity Exchange: Closing Price: 1st Month data was reported at 0.000 % in 05 May 2025. This stayed constant from the previous number of 0.000 % for 28 Apr 2025. Retail Sales Nowcast: YoY: Contribution: Agriculture Price: Wheat Futures: Strong: China: Zhengzhou Commodity Exchange: Closing Price: 1st Month data is updated weekly, averaging 0.084 % from Feb 2021 (Median) to 05 May 2025, with 223 observations. The data reached an all-time high of 8.428 % in 01 Apr 2024 and a record low of 0.000 % in 05 May 2025. Retail Sales Nowcast: YoY: Contribution: Agriculture Price: Wheat Futures: Strong: China: Zhengzhou Commodity Exchange: Closing Price: 1st Month data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s China – Table CN.CEIC.NC: CEIC Nowcast: Retail Sales.

Interactive daily chart of Brent (Europe) crude oil prices over the last ten years. Values shown are daily closing prices.

Japan TRI: Closing Price: Securities & Commodities Futures data was reported at 468.600 JPY in Apr 2020. This records an increase from the previous number of 449.300 JPY for Mar 2020. Japan TRI: Closing Price: Securities & Commodities Futures data is updated monthly, averaging 567.600 JPY from Apr 2011 (Median) to Apr 2020, with 109 observations. The data reached an all-time high of 740.880 JPY in Jul 2015 and a record low of 177.150 JPY in Dec 2011. Japan TRI: Closing Price: Securities & Commodities Futures data remains active status in CEIC and is reported by Japan Exchange Group. The data is categorized under Global Database’s Japan – Table JP.Z016: Tokyo Stock Exchange: Total Return Index.

Natural gas fell to 3.61 USD/MMBtu on June 24, 2025, down 1.84% from the previous day. Over the past month, Natural gas's price has fallen 3.55%, but it is still 26.13% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Natural gas - values, historical data, forecasts and news - updated on June of 2025.

In 2023, the average price for aluminum stood at 2,256 nominal U.S. dollars per metric ton. This statistic depicts the average annual prices for aluminum from 2014 through 2026.

Coffee growers raise two species of coffee bean: Arabica and robusta. The former is more expensive, selling for 2.93 U.S. dollars per kilogram in 2018 and projected to increase in price to 4.8 U.S. dollars in 2026. Robusta, named because it can grow at a wider range of altitudes and temperatures, sold for 1.87 U.S. dollars in 2018, projected to sell at 3.9 U.S. dollars per kilogram in 2026. Coffee production Coffee originally comes from Ethiopia, where a significant portion of coffee production continues to take place. The more popular bean, Arabica, takes its name from the Arabian Empire, when coffee consumption spread throughout the Middle East. After overcoming its ban by the Catholic Church, who saw coffee as in intoxicant from the Muslim world, coffee sales per capita are highest in European countries. Major players Starbucks has shaped the modern coffee culture, capitalizing on the Seattle coffee shop scene. This opened gourmet coffee to a wider market, shifting the global demand from cheaper robusta to better-tasting Arabica varieties. This shift has influenced the world coffee market, prompting companies such as McDonalds to open McCafé stores to cater to the evolving tastes of global consumers.

Copper commodity charts provide valuable information about the historical and current prices of copper, making them an essential tool for traders and investors in the commodities market. These charts visually represent the price movements of copper over a specific time period, typically ranging from a few hours to several years. They display the opening, closing, highest, and lowest prices of copper, often in the form of candlestick or line charts. Copper commodity charts are widely available online and thr

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.

Nickel Commodity Price Outlook: DJ Commodity Nickel Index Faces Volatility

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