Natural gas fell to 2.82 USD/MMBtu on August 18, 2025, down 3.50% from the previous day. Over the past month, Natural gas's price has fallen 15.21%, but it is still 26.14% 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 August of 2025.

CRB Index rose to 365.03 Index Points on August 15, 2025, up 0.16% from the previous day. Over the past month, CRB Index's price has fallen 2.17%, but it is still 12.15% higher than a year ago, 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 August of 2025.

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.

Gasoline fell to 2.08 USD/Gal on August 15, 2025, down 1.41% from the previous day. Over the past month, Gasoline's price has fallen 3.51%, and is down 10.03% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Gasoline - values, historical data, forecasts and news - updated on August of 2025.

China Imports Price Index: Commodity data was reported at 1.949 Index, 2015 in 2025. This records an increase from the previous number of 1.941 Index, 2015 for 2024. China Imports Price Index: Commodity data is updated yearly, averaging 1.041 Index, 2015 from Dec 1988 (Median) to 2025, with 38 observations. The data reached an all-time high of 2.007 Index, 2015 in 2022 and a record low of 0.258 Index, 2015 in 1988. China Imports Price Index: Commodity data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s China – Table CN.OECD.EO: Exports and Imports Price Index: Forecast: Non OECD Member: Annual. PMNW - Price of commodity importsIndex, OECD reference year OECD calculation, see OECD Economic Outlook database documentation

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.

Commodity Petroleum Index: The Ultimate Guide?

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

Commodity Management Software Market Outlook

The global commodity management software market size was valued at approximately USD 1.5 billion in 2023 and is projected to reach around USD 3.2 billion by 2032, showcasing a robust CAGR of 8.9% during the forecast period. This impressive growth is primarily driven by increasing demand for efficient supply chain management, rising commodity price volatility, and the integration of advanced technologies such as AI and blockchain.

The demand for commodity management software is significantly influenced by the need for enhanced supply chain visibility and risk management. As global trade continues to expand, companies are increasingly seeking advanced solutions to mitigate risks associated with commodity price fluctuations and supply chain disruptions. The ability of commodity management software to provide real-time data analytics and insights is a major growth factor, helping organizations make informed decisions and optimize their operations.

Another critical growth factor driving the commodity management software market is the adoption of advanced technologies such as artificial intelligence (AI) and blockchain. These technologies enhance the capabilities of commodity management software by enabling predictive analytics, improving transaction transparency, and automating complex processes. AI-driven analytics can forecast market trends and commodity prices with higher accuracy, while blockchain ensures secure and transparent transactions, reducing the risk of fraud.

Additionally, the increasing regulatory requirements and compliance standards in various industries are fueling the adoption of commodity management software. Governments and regulatory bodies are imposing stringent regulations to ensure transparency and accountability in commodity trading. This has led organizations to invest in robust software solutions that can help them adhere to these regulations and avoid hefty penalties. The software's ability to streamline compliance processes and provide comprehensive reporting is a significant advantage driving market growth.

Regionally, North America dominates the commodity management software market, accounting for the largest market share. This is attributed to the presence of major commodity trading hubs and advanced technological infrastructure in the region. Europe follows closely, driven by stringent regulatory frameworks and a strong focus on sustainability. The Asia Pacific region is expected to witness the highest growth rate during the forecast period, fueled by rapid industrialization, increasing commodity trading activities, and rising adoption of digital solutions in emerging economies such as China and India.

Component Analysis

The commodity management software market is segmented by component into software and services. The software segment holds the largest market share, driven by the increasing need for advanced software solutions that offer real-time data analytics, risk management, and supply chain optimization. The software segment encompasses various applications, including trading and risk management (TRM), procurement, logistics, and inventory management. These applications enable organizations to streamline their operations, reduce costs, and improve decision-making processes.

Trading and risk management (TRM) software is a critical component of the commodity management software market. It helps organizations manage their trading activities, mitigate risks, and ensure compliance with regulatory requirements. The growing volatility in commodity prices and increasing regulatory scrutiny have led to a surge in demand for TRM software. This software provides real-time market data, advanced analytics, and risk assessment tools, enabling organizations to make informed trading decisions and minimize risks.

Procurement software is another vital component, helping organizations manage their procurement processes more efficiently. It offers tools for supplier management, contract management, and procurement analytics, allowing organizations to optimize their procurement strategies, reduce costs, and enhance supplier relationships. The increasing complexity of global supply chains and the need for efficient procurement processes are driving the demand for procurement software.

The services segment includes consulting, implementation, and support services, which are essential for the successful deployment and operation of commodity management software. Consulting services help organizations assess their requireme

Coffee rose to 344.17 USd/Lbs on August 18, 2025, up 0.74% from the previous day. Over the past month, Coffee's price has risen 17.89%, and is up 40.21% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Coffee - values, historical data, forecasts and news - updated on August of 2025.

Central Asia Metals is projected to maintain its strong financial performance due to its resilient operations and favorable market conditions. However, geopolitical instability and fluctuations in commodity prices pose risks to its profitability.

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.

Will the Commodity Industrial Metals Index Signal a Shift?

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

Why did the Carbon Black Price Change in July 2025? The Carbon Black Price Index FOB Texas exhibited a mixed trend as of Q2 2025, exhibiting a slight decline during April, followed by moderate recoveries in May and June.

The market for Commodity Hedging Solutions is projected to reach a value of USD XX million by 2033, exhibiting a CAGR of XX% during the forecast period of 2025-2033. This growth can be attributed to the increasing volatility in commodity prices, which is driving businesses to seek ways to mitigate their exposure to price fluctuations. Other factors contributing to the market's expansion include the growing demand for sophisticated risk management solutions, advancements in technology, and the increasing adoption of hedging strategies by various industries. Key market trends include the adoption of cloud-based solutions, the integration of artificial intelligence (AI) and machine learning (ML) into hedging solutions, and the growing popularity of dynamic hedging strategies. The market is segmented into software, service, and other types, as well as oil and gas, metal, agricultural products, and other application segments. North America, Europe, and Asia Pacific are the major regional markets for Commodity Hedging Solutions. The market is dominated by a number of established players, including DBS Corporate Banking, Marex, CIC Market Solutions, and CIMB.

Pakistan Commodity Price: Low: Masoor: Salam-Local data was reported at 33,000.000 PKR/100 kg in 12 May 2025. This stayed constant from the previous number of 33,000.000 PKR/100 kg for 08 May 2025. Pakistan Commodity Price: Low: Masoor: Salam-Local data is updated daily, averaging 30,000.000 PKR/100 kg from Jul 2022 (Median) to 12 May 2025, with 528 observations. The data reached an all-time high of 35,000.000 PKR/100 kg in 24 Oct 2023 and a record low of 0.000 PKR/100 kg in 12 Oct 2022. Pakistan Commodity Price: Low: Masoor: Salam-Local data remains active status in CEIC and is reported by Business Recorder. The data is categorized under Global Database’s Pakistan – Table PK.P001: Commodity Price.

China Exports Price Index: Commodity data was reported at 1.825 Index, 2015 in 2025. This records an increase from the previous number of 1.815 Index, 2015 for 2024. China Exports Price Index: Commodity data is updated yearly, averaging 1.006 Index, 2015 from Dec 1988 (Median) to 2025, with 38 observations. The data reached an all-time high of 1.846 Index, 2015 in 2022 and a record low of 0.224 Index, 2015 in 1988. China Exports Price Index: Commodity data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s China – Table CN.OECD.EO: Exports and Imports Price Index: Forecast: Non OECD Member: Annual. PXNW - Price of commodity exportsIndex, OECD reference year OECD calculation, see OECD Economic Outlook database documentation

The automotive aluminum market offers a diverse range of products, each with specific applications:Rolled Products: Rolled aluminum accounts for the largest market share. It is used for various components, including body panels and structural parts due to its formability and strength.Extruded Products: Extruded aluminum finds applications in frames, bumpers, and interior trim. Its high strength-to-weight ratio makes it suitable for complex shapes and load-bearing components.Castings: Aluminum castings are preferred for high-stress applications such as engine blocks and suspension components. They offer complex geometries and excellent durability. Recent developments include: February 2024: Vedanta Aluminium has come up with Vedanta Metal Bazaar, an e-superstore for primary aluminum that will revolutionize the buying and selling of aluminum in India., The emporium launched with over 750 product variations from Vedanta Aluminium. AI-based pricing discovery gives clients unrivaled value even when commodity prices fluctuate. Ingots, billets, PFA, wire rods, rolled products, flip coils, hot metal, and Restora (India's first low-carbon aluminum) are available. The superstore additionally customizes solutions for its large consumer base., Aluminium is used in aerospace, automotive, building and construction, energy distribution, defense, and other industries. It is called the ‘metal of the future’ because it is essential to the global energy transition, renewable energy, electric vehicles, green infrastructure, and high-tech manufacturing. However, procuring aluminum was formerly complicated and resource-intensive., Vedanta Aluminium created Vedanta Metal Bazaar, a revolutionary e-commerce platform that would change aluminium purchase, to simplify business for customers., It promises to streamline the procurement process, allowing buyers to focus on business growth rather than transactional follow-ups and commodity price and order fulfillment fluctuations. After steel, aluminium is the second most consumed metal worldwide., Buyers may get just-in-time delivery, real-time AI-based pricing discovery, and full visibility from order placement to delivery with Vedanta Metal Bazaar. This enables robust production planning and frees up resources for important expenditures. In a few clicks, clients may use order history, dynamic market circumstances, and competitive rates to make smart purchases., A groundbreaking new platform, Vedanta Metal Bazaar was developed from the ground up to meet consumer expectations and revolutionize the experience., The platform offers global-first features like product availability, online price discovery, long-term contracts, on-the-spot orders, live shipment tracking, financial reconciliation, all critical documentation (such as test certificates, bank guarantees, letters of credit), and a selection of channel finance and logistics providers to help customers procure., September 2022: Alcoa Corporation announced new innovations in alloy development and deployment, further strengthening its position as a supplier of advanced aluminum alloys., May 2022: Novelis Inc. announced it will invest $2.5 billion to build a new low-carbon recycling and rolling plant.. Key drivers for this market are: . Restraints, . Opportunities; . Challenges; . Trends. Potential restraints include: . Opportunities, . Challenges; . Trends. Notable trends are: Growing in the sales and production of several automobiles to boost market growth.

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.

NTAP Target Price Prediction

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

Polypropylene fell to 7,062 CNY/T on August 15, 2025, down 0.13% from the previous day. Over the past month, Polypropylene's price has risen 0.68%, but it is still 6.62% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for Polypropylene.

Zambia Commodity Prices: Copper data was reported at 6,222.440 USD/Tonne in Oct 2018. This records an increase from the previous number of 6,074.270 USD/Tonne for Sep 2018. Zambia Commodity Prices: Copper data is updated monthly, averaging 6,341.039 USD/Tonne from Jan 2013 (Median) to Oct 2018, with 70 observations. The data reached an all-time high of 8,070.559 USD/Tonne in Feb 2013 and a record low of 4,471.250 USD/Tonne in Jan 2016. Zambia Commodity Prices: Copper data remains active status in CEIC and is reported by Bank of Zambia. The data is categorized under Global Database’s Zambia – Table ZM.P001: Commodity Price.

As per Cognitive Market Research's latest published report, the Global Oil Exploration and Production market size is $3,588.98 Million in 2024 and it is forecasted to reach $5,116.57 Billion by 2031. Oil Exploration and Production Industry's Compound Annual Growth Rate will be 5.20% from 2024 to 2031. Market Dynamics of the Oil Exploration and Production Market

Market Driver for the Oil Exploration and Production Market

The increasing investment in oil sector by several government bodies worldwide elevates the market growth 

Many countries view a stable and secure energy supply as crucial for their economic development and national security. Investing in the oil sector helps ensure a reliable source of energy. Oil exploration and production contribute significantly to the economic growth of a country. Governments often invest in the oil sector to capitalize on the potential for high returns, which can be used to fund public services, infrastructure projects, and other essential programs. Despite efforts to transition to renewable energy sources, the global demand for oil remains high. Governments recognize the need to meet this demand and ensure a stable energy supply to support industrial processes, transportation, and other key sectors. The oil and gas industry encompasses activities linked to exploration, including the search for hydrocarbons, identification of high-potential areas for oil and gas extraction, test drilling, the construction of wells, and initial extraction. According to the Center on Global Energy Policy, data 2023, the 2021–22 period of high oil and gas prices did not lead to a significant increase in capital spending by private companies despite record profits. One exception has been upstream exploration and production (E&P) companies, whose capital spending in 2022 was the highest since 2014.   According to the International Labor Organization (ILO), data 2022, the oil and gas industry makes a significant contribution to the global economy and to its growth and development worldwide. The oil industry alone accounts for almost 3 per cent of global domestic product. The trade in crude oil reached US$640 billion in 2020, making it one of the world’s most traded commodities. Additionally, the industry is highly capital-intensive. Globally investments in oil and gas supply reached more than US$511 billion in 2020. According to the oil and gas industry outlook, data 2023, rapid recovery in demand, and geopolitical developments have driven oil prices to 2014 highs and upstream cash flows to record levels. In 2022, the global upstream industry is projected to generate its highest-ever free cash flows of $1.4 trillion at an assumed average Brent oil price of $106/bbl. Until now, the industry has practiced capital discipline and focused on cash flow generation and pay-out—2022 year-to-date average O&G production is up by 4.5% over the same period last year, while 2022 free cash flows per barrel of production is projected to be higher by nearly 70% over 2021. In addition, high commodity prices and growing concerns over energy security are creating urgency for many to diversify supply and accelerate the energy transition. As a result, clean energy investment by Oil &Gas companies has risen by an average of 12% each year since 2020 and is expected to account for an estimated 5% of total Oil & Gas capex spending in 2022, up from less than 2% in 2020.Therefore, investments made over recent decades enabled the United States to become a world leader in oil and natural gas production. Thus, owing to increased oil production, the demand for oil exploration and production has surged during the past few years.

The rising demand for oil across both commercial and residential sector is expected to drive the market growth 

Oil remains a primary source of energy for transportation, including cars, trucks, ships, and airplanes. The growing global population, urbanization, and increased industrial activity contribute to a rise in the number of vehicles and the overall demand for transportation fuels derived from oil, such as gasoline and diesel. Many industrial processes rely on oil and its by-products as energy sources and raw materials. Industries such as manufacturing, petrochemicals, and construction utilize oil-based products for various applications, including heating, power generation, and the production of pl...

In 2024, the average price for aluminum stood at 2,419 nominal U.S. dollars per metric ton. This statistic depicts the average annual prices for aluminum from 2014 through 2026.