Heating Oil rose to 2.47 USD/Gal on July 11, 2025, up 3.46% from the previous day. Over the past month, Heating Oil's price has risen 11.10%, but it is still 1.60% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Heating oil - values, historical data, forecasts and news - updated on July of 2025.

In 2023, domestic trading value for machinery and transport equipment reached approximately *** million Philippine pesos, making it the highest-valued traded commodity in the Philippines. This was followed by food and live animals, with a domestic trade value of *** million Philippine pesos. Water transport emerged as the most popular mode of commodity trading within the country during the year.

Corn fell to 393.37 USd/BU on July 14, 2025, down 0.66% from the previous day. Over the past month, Corn's price has fallen 9.52%, and is down 2.69% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Corn - values, historical data, forecasts and news - updated on July of 2025.

Commodity Coffee Beans Market Outlook

The global commodity coffee beans market size was valued at approximately USD 102.5 billion in 2023 and is projected to reach USD 157.4 billion by 2032, growing at a compound annual growth rate (CAGR) of 4.9% during the forecast period. The market's growth is attributed to increasing coffee consumption, shifting consumer preferences towards specialty coffee, and the expanding application areas in various industries. Coffee remains one of the most traded commodities worldwide, driven by an ever-growing base of coffee enthusiasts and the cultural significance of coffee consumption across different regions.

One of the primary growth factors for the commodity coffee beans market is the rising coffee consumption globally. More consumers are adopting coffee as a staple beverage, influenced by lifestyle changes, urbanization, and the proliferation of coffee culture. The entry of specialty coffee shops and the rising trend of home brewing have significantly contributed to this increase in demand. Additionally, the younger demographic, more inclined towards artisanal and high-quality coffee, is further propelling the market forward. This segment of consumers is willing to pay a premium for unique and ethically sourced coffee beans, thus driving the growth of the market.

Technological advancements in coffee cultivation and processing have also played a crucial role in enhancing the market. Innovations in agricultural practices, such as precision farming and sustainable farming techniques, have improved the yield and quality of coffee beans. Furthermore, advancements in processing technologies have enabled producers to offer a diverse range of coffee products with consistent quality. This has not only enhanced production capabilities but also opened new opportunities for product differentiation in an increasingly competitive market. The advent of blockchain technology in the supply chain has further ensured transparency and traceability, which are increasingly important to conscientious consumers.

Another significant driver of market growth is the expanding application of coffee beans beyond traditional beverages. The use of coffee in pharmaceuticals, cosmetics, and food products has widened the scope of the market. Coffee beans are known for their antioxidant properties, which have been harnessed in skincare products and dietary supplements. This diversification into new application areas is expected to sustain the market's growth momentum. Furthermore, the development of coffee-infused products, such as energy drinks and snacks, continues to capture consumer interest, thereby expanding the market further.

The rise of Coffee E Commerce Platform has significantly transformed the way consumers purchase coffee, offering unparalleled convenience and access to a wide variety of coffee products. These platforms provide coffee enthusiasts with the ability to explore and purchase specialty and artisanal coffee from around the world, right from the comfort of their homes. With detailed product descriptions, customer reviews, and the ease of comparison, consumers are empowered to make informed decisions about their coffee purchases. Furthermore, subscription services offered by these platforms ensure a steady supply of fresh coffee, catering to the growing demand for high-quality and ethically sourced beans. As the digital landscape continues to evolve, Coffee E Commerce Platforms are expected to play a pivotal role in shaping the future of the coffee market, driving growth and innovation in the industry.

The regional outlook of the commodity coffee beans market is diverse, with varying consumption patterns and growth rates across different regions. North America and Europe remain dominant markets due to their established coffee culture and high consumption rates. Meanwhile, the Asia Pacific region is emerging as a significant growth area, driven by increasing disposable incomes and the growing popularity of coffee among younger consumers. Latin America, as a major coffee-producing region, continues to play a crucial role in supplying the global market, while also experiencing growing domestic consumption. The Middle East & Africa region, although smaller in market size, is witnessing a steady rise in coffee consumption, influenced by changing consumer preferences and increasing urbanization.

Type Analysis

Gross Domestic Product - Table 310-31015 : Percentage distribution of consumption expenditure in the domestic market (CXDM) by commodity and service group at current market prices

Gross Domestic Product - Table 310-31014 : Consumption expenditure in the domestic market (CXDM) by commodity and service group in chained dollars

The global energy price index stood at around 101.5 in 2024. Energy prices were on a decreasing trend that year, and forecasts suggest the price index would decrease below 80 by 2026. Price indices show the development of prices for goods or services over time relative to a base year. Commodity prices may be dependent on various factors, from supply and demand to overall economic growth. Electricity prices around the world As with overall fuel prices, electricity costs for end users are dependent on power infrastructure, technology type, domestic production, and governmental levies and taxes. Generally, electricity prices are lower in countries with great coal and gas resources, as those have historically been the main sources for electricity generation. This is one of the reasons why electricity prices are lowest in resource-rich countries such as Iran, Qatar, and Russia. Meanwhile, many European governments that have introduced renewable surcharges to support the deployment of solar and wind power and are at the same time dependent on fossil fuel imports, have the highest household electricity prices. Benchmark oil prices One of the commodities found within the energy market is oil. Oil is the main raw material for all common motor fuels, from gasoline to kerosene. In resource-poor and remote regions such as the United States' states of Alaska and Hawaii, or the European country of Cyprus, it is also one of the largest sources for electricity generation. Benchmark oil prices such as Europe’s Brent, the U.S.' WTI, or the OPEC basket are often used as indicators for the overall energy price development.

In 2023, food and live animals accounted for the highest quantity of domestic trade in the Philippines, amounting to about 5.74 million tons. This was followed by machinery and transport equipment, and mineral fuels, lubricants, and related materials, with 5.39 million tons and 5.03 million tons, respectively. Water transport emerged as the most popular mode of commodity trading within the country during the year.

United States - Producer Price Index by Commodity: Machinery and Equipment: Domestic Water Systems was 274.99400 Index Dec 2003=100 in April of 2025, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Commodity: Machinery and Equipment: Domestic Water Systems reached a record high of 274.99400 in April of 2025 and a record low of 130.20000 in February of 2010. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Commodity: Machinery and Equipment: Domestic Water Systems - last updated from the United States Federal Reserve on June of 2025.

The US soybean market is one of the largest and most influential agricultural commodity markets in the world. Learn about its production, international trade, domestic consumption, government policies, and price volatility.

1. Separating the import and domestic trade values in the producer price index table leads to the domestic trade table, which contains trade values limited to the demand for domestic products and excludes the input of imports.2. Purpose of collection: to demonstrate the industry structure and interdependence between industry sectors.3. Data collection method: mainly referring to the industrial and service industry censuses conducted every five years and various related statistical data.

https://data.apps.fao.org/catalog/dataset/3392bf08-35ed-4354-b5dd-a22707ffe4d1/resource/342d547e-93d1-487a-a2ca-7d1b5900c41c/download/market-prices.jpeg" alt="">

Agricultural commodity prices are an indicator of changes in supply and demand, and as such, can detect abnormal conditions that need to be brought to attention. Price monitoring supports well-functioning international and national markets through the provision of timely and transparent market information, and constitutes a basis for evidence-based decision making and food security strategies. Past price volatility events have put in evidence the value of timely market information and analysis in order to mitigate the negative effects on low-income groups of population whose expenditure on food represents a large proportion of their total expenses. FAO plays a key role in monitoring, analysing and disseminating food price data along the food supply chain, from producer to consumer through both domestic as well as international markets.

FAS’s PSD (Production, Supply and Distribution) Online data for those commodities published in the WASDE Report are reviewed and updated monthly by an interagency committee chaired by USDA’s World Agricultural Outlook Board (WAOB), and consisting of: the Foreign Agricultural Service (FAS), the Economic Research Service (ERS), the Farm Service Agency (FSA), and the Agricultural Marketing Service (AMS). The international portion of the data is updated with input from agricultural attachés stationed at U.S. embassies around the world, FAS commodity analysts, and country and commodity analysts with ERS. The U.S. domestic component is updated with input from analysts in FAS, ERS, the National Agricultural Statistical Service, and FSA. Interagency work on the database is carried out under the aegis of the WAOB. The official USDA supply and use data is published monthly in: WAOB, World Agricultural Supply and Demand Estimates (WASDE); in the foreign agricultural commodity circular series issued by FAS; and in the regional situation and outlook reports and monthly commodity newsletters of ERS (see keywords Crops and Animal Products) data for horticultural products are usually published twice a year. Resources in this dataset:Resource Title: Market and Trade Data. File Name: Web Page, url: https://apps.fas.usda.gov/psdonline/app/index.html#/app/home

In 2024, the price of natural gas in Europe reached 11 constant U.S. dollars per million British thermal units, compared with 2.2 U.S. dollars in the U.S. This was a notable decrease compared to the previous year, which had seen a steep increase in prices due to an energy supply shortage exacerbated by the Russia-Ukraine war. Since 1980, natural gas prices have typically been higher in Europe than in the United States and are expected to remain so for the coming two years. This is due to the U.S. being a significantly larger natural gas producer than Europe. What is natural gas and why is it gaining ground in the energy market? Natural gas is commonly burned in power plants with combustion turbines that generate electricity or used as a heating fuel. Given the fact that the world’s energy demand continues to grow, natural gas was seen by some industry leaders as an acceptable "bridge-fuel" to overcome the use of more emission-intensive energy sources such as coal. Subsequently, natural gas has become the main fuel for electricity generation in the U.S., while the global gas power generation share has reached over 22 percent. How domestic production shapes U.S. natural gas prices The combination of hydraulic fracturing (“fracking”) and horizontal drilling can be regarded as one of the oil and gas industry’s biggest breakthroughs in decades, with the U.S. being the largest beneficiary. This technology has helped the industry release unprecedented quantities of gas from deposits, mainly shale and tar sands that were previously thought either inaccessible or uneconomic. It is forecast that U.S. shale gas production could reach 36 trillion cubic feet in 2050, up from 1.77 trillion cubic feet in 2000.

Lumber fell to 599.02 USD/1000 board feet on July 11, 2025, down 1.89% from the previous day. Over the past month, Lumber's price has fallen 2.99%, but it is still 37.54% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Lumber - values, historical data, forecasts and news - updated on July of 2025.

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 Ex Energy Index: A Reliable Indicator of Commodity Market Health?

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

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.

Zinc Index: A DJ Commodity Forecast?

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

Steel fell to 3,086 CNY/T on July 11, 2025, down 0.61% from the previous day. Over the past month, Steel's price has risen 5.22%, but it is still 6.46% 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 July of 2025.

In 2024, water transport emerged as the most common mode of commodity trading in the Philippines, reaching a domestic trade value of approximately *** trillion Philippine pesos — a significant increase compared to the previous year. This indicated that this mode of transport was responsible for nearly **** percent of commodities within the country.

Official USDA data on production, supply, and distribution of agricultural commodities for the United States and key producing and consuming countries.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: PSD Online Home Page For complete information, please visit https://data.gov.