Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
China YiWu Small Commodity Price Index: Office Article & Stationery: Writing Tool data was reported at 101.100 Jul2006=100 in 22 Jul 2024. This records a decrease from the previous number of 101.160 Jul2006=100 for 15 Jul 2024. China YiWu Small Commodity Price Index: Office Article & Stationery: Writing Tool data is updated daily, averaging 100.715 Jul2006=100 from Sep 2006 (Median) to 22 Jul 2024, with 868 observations. The data reached an all-time high of 113.960 Jul2006=100 in 07 Aug 2017 and a record low of 93.860 Jul2006=100 in 07 Oct 2013. China YiWu Small Commodity Price Index: Office Article & Stationery: Writing Tool data remains active status in CEIC and is reported by Yiwu City Government. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OQ: YiWu Small Commodity Price Index: Weekly.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Producer Price Index by Commodity: Machinery and Equipment: Other Metal-Cutting Machine Tools (WPU113720) from Dec 2009 to Aug 2025 about tool, machines, machinery, equipment, commodities, PPI, inflation, price index, indexes, price, and USA.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
China YiWu Small Commodity Price Index: Hardware & Electrical Product: Leisure & Tool Vehicle data was reported at 101.350 Jul2006=100 in 22 Jul 2024. This records a decrease from the previous number of 102.000 Jul2006=100 for 15 Jul 2024. China YiWu Small Commodity Price Index: Hardware & Electrical Product: Leisure & Tool Vehicle data is updated daily, averaging 100.000 Jul2006=100 from Sep 2006 (Median) to 22 Jul 2024, with 869 observations. The data reached an all-time high of 116.770 Jul2006=100 in 25 Aug 2008 and a record low of 91.290 Jul2006=100 in 15 Apr 2013. China YiWu Small Commodity Price Index: Hardware & Electrical Product: Leisure & Tool Vehicle data remains active status in CEIC and is reported by Yiwu City Government. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OQ: YiWu Small Commodity Price Index: Weekly.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
China YiWu Small Commodity Price Index: Hardware & Electrical Product: Hardware Tool data was reported at 107.810 Jul2006=100 in 22 Jul 2024. This records an increase from the previous number of 106.890 Jul2006=100 for 15 Jul 2024. China YiWu Small Commodity Price Index: Hardware & Electrical Product: Hardware Tool data is updated daily, averaging 101.670 Jul2006=100 from Sep 2006 (Median) to 22 Jul 2024, with 869 observations. The data reached an all-time high of 120.960 Jul2006=100 in 26 Sep 2022 and a record low of 92.260 Jul2006=100 in 25 Nov 2013. China YiWu Small Commodity Price Index: Hardware & Electrical Product: Hardware Tool data remains active status in CEIC and is reported by Yiwu City Government. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OQ: YiWu Small Commodity Price Index: Weekly.
According to our latest research, the global commodity price risk dashboards market size reached USD 1.45 billion in 2024, reflecting the growing importance of real-time risk management tools in volatile commodity markets. With a robust compound annual growth rate (CAGR) of 10.6%, the market is projected to expand to USD 3.62 billion by 2033. This impressive growth is primarily driven by the increasing complexity of global supply chains, heightened geopolitical risks, and the escalating demand for data-driven decision-making across industries.
One of the most significant growth factors fueling the commodity price risk dashboards market is the increasing volatility and unpredictability in global commodity prices. Over the past decade, geopolitical tensions, trade disputes, and climate change events have contributed to sharp fluctuations in the prices of essential commodities such as oil, agricultural products, and metals. Enterprises and financial institutions are under mounting pressure to manage exposure to price risks more efficiently. As a result, organizations are rapidly adopting advanced dashboards that offer real-time price monitoring, predictive analytics, and scenario modeling capabilities. These tools empower stakeholders to make informed decisions, optimize procurement strategies, and safeguard profit margins against unpredictable market swings.
Another key driver is the digital transformation sweeping across industries, particularly in sectors with significant exposure to commodity risks such as energy, agriculture, and manufacturing. The integration of artificial intelligence, machine learning, and big data analytics into commodity price risk dashboards has elevated their value proposition. Modern dashboards can now process vast datasets from multiple sources, offering actionable insights and automated alerts. This technological evolution has not only improved the accuracy of risk assessments but also enhanced the speed at which organizations can respond to market movements. The growing emphasis on automation and data-driven strategies is expected to sustain robust demand for commodity price risk dashboards throughout the forecast period.
Furthermore, stringent regulatory requirements and the growing need for transparency in financial reporting have compelled organizations to adopt sophisticated risk management solutions. Regulatory bodies across the globe are mandating more comprehensive reporting and risk disclosure standards, particularly for companies engaged in commodity trading and procurement. Commodity price risk dashboards facilitate compliance by providing auditable records, detailed analytics, and customizable reporting features. This regulatory push, coupled with the increasing adoption of enterprise risk management frameworks, is anticipated to further stimulate market growth, as organizations seek to align their risk management practices with global standards.
From a regional perspective, North America currently leads the commodity price risk dashboards market, accounting for the largest share in 2024. This dominance is attributed to the presence of major commodity trading hubs, advanced technological infrastructure, and a high concentration of multinational corporations. However, Asia Pacific is poised to exhibit the highest growth rate during the forecast period, driven by rapid industrialization, expanding commodity markets, and increasing investments in digital transformation initiatives. Europe also remains a significant market, supported by robust regulatory frameworks and a strong emphasis on sustainability and risk management in commodity-intensive industries.
The commodity price risk dashboards market is segmented by component into software and services, each playing a pivotal role in addressing the diverse needs of end-users. Software solutions constitute the core of risk management, offering advanced functionalities such as real-time price tracking, analytics,
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Steel fell to 3,035 CNY/T on October 14, 2025, down 0.78% from the previous day. Over the past month, Steel's price has fallen 2.03%, and is down 10.23% compared to the same time last year, 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 October of 2025.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Producer Price Index by Commodity: Machinery and Equipment: Other Machine Tool Attachments and Accessories (WPU11350501) from Jun 1983 to Aug 2025 about tool, machines, machinery, equipment, commodities, PPI, inflation, price index, indexes, price, and USA.
Knoema provides access to the World Bank Commodity Price data through an online database tool. World Bank Commodity Prices are available through Knoema on an annual/monthly basis. Data are updated continuously.
Website: https://knoema.com/WBCPD2015Oct/world-bank-commodity-price-data-pink-sheet-monthly-update
https://www.lseg.com/en/policies/website-disclaimerhttps://www.lseg.com/en/policies/website-disclaimer
Real-time commodities pricing data allows you to grasp where the market is, was and will be – from exchange data and OTC prices to specialist fundamentals.
The objective of the project was to provide econometric analysis and theory for modelling energy and soft commodity prices. This necessitated data analysis and modelling together with theoretical econometrics, dealing with the specific stylised facts of commodity prices. In order to analyse energy and soft commodity prices, the determination of spot energy prices in regulated markets was first considered, from the point of view of the regulator. Direct data analysis of futures commodity prices was then undertaken, resulting in the collection of an extensive dataset of most traded futures commodity prices at a daily frequency, covering 16 different commodities over a 10-year period.
According to our latest research, the global Commodity Price Risk Analytics for SMEs market size reached USD 1.42 billion in 2024, registering a robust year-on-year growth. The market is expected to expand at a CAGR of 11.7% during the forecast period, reaching approximately USD 4.07 billion by 2033. This growth is primarily driven by the increasing volatility in global commodity prices, which is compelling small and medium enterprises (SMEs) to adopt advanced risk analytics solutions to safeguard their profitability and ensure business continuity.
A significant factor propelling the expansion of the Commodity Price Risk Analytics for SMEs market is the heightened awareness among SMEs regarding the adverse impacts of commodity price fluctuations. With global supply chains becoming increasingly complex and susceptible to geopolitical tensions, natural disasters, and regulatory changes, SMEs are recognizing the necessity for sophisticated analytics tools. These solutions enable businesses to proactively monitor, predict, and hedge against price risks, thereby minimizing financial exposure. The democratization of data analytics and the proliferation of user-friendly platforms have further lowered the entry barriers for SMEs, empowering them to make data-driven decisions that were previously accessible only to larger enterprises.
Another key driver for the market is the rapid digital transformation across all sectors, which has made advanced analytics more accessible and affordable for SMEs. The integration of artificial intelligence, machine learning, and big data analytics into commodity risk management platforms has significantly enhanced predictive accuracy and operational efficiency. These technological advancements allow SMEs to automate complex risk calculations, simulate various market scenarios, and optimize procurement and inventory strategies. As a result, businesses are better equipped to reduce costs, improve margins, and maintain a competitive edge in increasingly volatile markets.
The growing importance of regulatory compliance and transparency in financial reporting is also fueling the demand for commodity price risk analytics among SMEs. Governments and regulatory bodies worldwide are imposing stricter reporting requirements and risk management standards, especially in sectors heavily reliant on commodities such as manufacturing, agriculture, and energy. By leveraging advanced analytics solutions, SMEs can not only ensure compliance but also gain deeper insights into their risk exposures and opportunities. This dual benefit is prompting a surge in adoption rates, particularly among SMEs aiming to scale operations and attract investment by showcasing robust risk management frameworks.
Regionally, North America continues to dominate the Commodity Price Risk Analytics for SMEs market, accounting for the largest share in 2024, followed closely by Europe and the Asia Pacific. The strong presence of technology providers, a mature SME ecosystem, and high awareness of risk management best practices contribute to North America’s leadership. Meanwhile, Asia Pacific is witnessing the fastest growth, driven by rapid industrialization, expanding SME sectors, and increasing exposure to global commodity markets. Latin America and the Middle East & Africa are also emerging as important markets, supported by government initiatives to promote digital adoption among SMEs and the rising importance of commodity exports in these regions.
The Component segment of the Commodity Price Risk Analytics for SMEs market is bifurcated into Software and Services. Software solutions form the backbone of this market by providing SMEs with advanced analytical tools that enable real-time monitoring, price forecasting, and automated reporting. These platforms are increasingly leveraging artificial intelligence and machine learning algorithms to enhanc
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Producer Price Index by Commodity: Metals and Metal Products: Hand and Edge Tools (WPU104201) from Jan 1975 to Aug 2025 about tool, metals, commodities, PPI, inflation, price index, indexes, price, and USA.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The Food Price Monitoring Tool intends to analyse the available data on price developments through the supply chain. The supply chain is a series of economic activities that are performed by different economic actors that contribute to the production and distribution of one consumer product or a group of consumer products.
The Food Price Monitoring Tool monitors 26 supply chains. It compares the price indices of four stages of the supply chain:
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
China YiWu Small Commodity Price Index: Personal Care: Beauty Care Tool data was reported at 101.560 Jul2006=100 in 22 Jul 2024. This records an increase from the previous number of 100.520 Jul2006=100 for 15 Jul 2024. China YiWu Small Commodity Price Index: Personal Care: Beauty Care Tool data is updated daily, averaging 100.915 Jul2006=100 from Sep 2006 (Median) to 22 Jul 2024, with 868 observations. The data reached an all-time high of 121.010 Jul2006=100 in 10 Sep 2012 and a record low of 94.290 Jul2006=100 in 18 Oct 2021. China YiWu Small Commodity Price Index: Personal Care: Beauty Care Tool data remains active status in CEIC and is reported by Yiwu City Government. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OQ: YiWu Small Commodity Price Index: Weekly.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Learn about the importance of live grain market prices and how to access up-to-date information on the current prices of different grain commodities through commodity exchanges, news and analysis platforms, and free online price tracking tools.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States - Producer Price Index by Commodity: Machinery and Equipment: Cutting Tools and Accessories was 244.31100 Index 1982=100 in August of 2025, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Commodity: Machinery and Equipment: Cutting Tools and Accessories reached a record high of 244.36500 in July of 2025 and a record low of 17.80000 in January of 1947. 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: Cutting Tools and Accessories - last updated from the United States Federal Reserve on October of 2025.
Dropping Ogallala aquifer levels and changing commodity prices and energy costs make irrigation management an important but uncertain issue to west Texas cotton producers. For example, is deficit or full irrigation more profitable under the current lint price and pumping cost conditions? Also, what is the best way to divide production into dryland and irrigated acreage with limited well capacity? To help producers answer these questions this web application estimates the effects of irrigation on the profitability of center pivot cotton production on the Southern High Plains. It's main purpose is to show the impact of irrigation on yield and the related effects on both profits per acre and profits over a center pivot area with combined dryland and irrigated production. Resources in this dataset:Resource Title: Cotton Irrigation Tool. File Name: Web Page, url: https://www.ars.usda.gov/research/software/download/?softwareid=486&modecode=30-96-05-00 download page
https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy
According to our latest research, the global Agricultural Market Price Hedging Platform market size reached USD 1.91 billion in 2024, driven by increased volatility in agricultural commodity prices and the growing adoption of digital risk management solutions. The market is demonstrating a robust expansion, registering a CAGR of 8.7% from 2025 to 2033. By the end of 2033, the market is forecasted to attain a value of USD 4.08 billion. This growth is primarily fueled by the surging need for advanced tools that enable farmers, agribusinesses, and commodity traders to hedge against price fluctuations, thereby ensuring profitability and financial stability in a dynamic global agricultural landscape.
One of the principal growth factors for the Agricultural Market Price Hedging Platform market is the increasing unpredictability in global agricultural commodity prices. Factors such as climate change, supply chain disruptions, geopolitical tensions, and fluctuating demand patterns have made price volatility a persistent challenge for stakeholders. As a result, there is a heightened demand for digital platforms that provide real-time market data, predictive analytics, and automated hedging strategies. These platforms empower end-users to make data-driven decisions and safeguard their revenues against adverse price movements. Furthermore, the integration of artificial intelligence and machine learning into these platforms is enhancing forecasting accuracy, making them indispensable tools for modern agriculture.
Another significant growth driver is the rapid digital transformation occurring within the agricultural sector. The proliferation of smartphones, increased internet penetration in rural areas, and the emergence of cloud-based solutions have collectively democratized access to sophisticated financial instruments. This digitalization trend is not only enabling large agribusinesses and commodity traders to optimize their risk management strategies but is also making it feasible for smallholder farmers and cooperatives to participate in price hedging activities. The availability of user-friendly interfaces, multilingual support, and mobile accessibility further accelerates adoption, bridging the gap between traditional farming practices and modern financial technologies.
Additionally, supportive government policies and initiatives aimed at stabilizing farm incomes are catalyzing the adoption of Agricultural Market Price Hedging Platforms. Many governments and agricultural organizations are actively promoting the use of risk management tools to mitigate the adverse effects of price volatility on rural livelihoods. Subsidies, training programs, and partnerships with fintech providers are fostering a conducive environment for market growth. Moreover, the increasing participation of institutional investors in agricultural commodities is enhancing market liquidity, thereby improving the effectiveness and appeal of hedging platforms. These collective efforts are expected to sustain the market’s upward trajectory over the coming years.
From a regional perspective, North America continues to dominate the Agricultural Market Price Hedging Platform market, accounting for a significant share due to its advanced technological infrastructure, high awareness levels, and the presence of major market players. Europe follows closely, with strong government support for agricultural innovation and risk management practices. The Asia Pacific region is witnessing the fastest growth, propelled by the digitalization of agriculture and increasing price volatility in emerging economies such as India and China. Latin America and the Middle East & Africa are also experiencing steady growth, driven by expanding agribusiness sectors and rising adoption of digital financial services. The regional dynamics underscore the global relevance and necessity of price hedging platforms in ensuring agricultural sustainability and profitability.
The Agricultural Market Price Hedging Platform market is segmented by component into software and services, with each playing a pivotal role in the market’s overall growth and adoption. The software segment dominates the market, accounting for over 65% of the total revenue in 2024. This dominance is attributed to the increasing demand for advanced analytics, real-time data feeds, and automated trading function
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Producer Price Index by Commodity: Metals and Metal Products: Mechanics Hand Service Tools (WPU10420135) from Jun 2006 to Aug 2025 about mechanics, tool, metals, commodities, services, PPI, inflation, price index, indexes, price, and USA.
According to our latest research, the global commodity swaps market size reached USD 4.28 billion in 2024, with a robust compound annual growth rate (CAGR) of 7.6% observed over recent years. This dynamic market is projected to advance significantly, touching USD 8.38 billion by 2033, fueled by increasing volatility in commodity prices and the growing need for risk management among corporates and financial institutions. The expansion is driven by heightened participation from end-users seeking to hedge against unpredictable price movements, as well as the proliferation of sophisticated financial instruments that facilitate customized risk mitigation strategies.
One of the principal growth factors for the commodity swaps market is the escalating volatility in global commodity prices, particularly in energy, agricultural, and metal sectors. The unpredictable nature of these markets, often influenced by geopolitical tensions, supply chain disruptions, and climate change, has made commodity swaps an essential tool for hedging price risks. Corporates, especially those with significant exposure to raw material costs, are increasingly utilizing commodity swaps to lock in prices and stabilize their profit margins. Moreover, the growing complexity of global supply chains and the integration of emerging markets into the global economy have intensified the need for advanced financial instruments like commodity swaps, further propelling market growth.
Another significant driver is the increasing sophistication and participation of financial institutions in the commodity swaps market. Banks, hedge funds, and other financial entities are leveraging commodity swaps not only for hedging but also for speculative and arbitrage opportunities. The evolution of trading platforms and the adoption of advanced analytics have enabled these institutions to execute complex swap strategies with greater efficiency and transparency. Additionally, regulatory reforms in major markets have enhanced the credibility and safety of swap transactions, encouraging broader adoption. The entry of fintech players and digital trading solutions is further democratizing access to these instruments, making them available to a wider range of market participants.
Technological advancements and regulatory support are also playing pivotal roles in shaping the commodity swaps market landscape. The adoption of blockchain and distributed ledger technologies is streamlining the execution and settlement of swap contracts, reducing operational risks and enhancing transparency. Regulatory frameworks in regions such as North America and Europe have established clear guidelines for over-the-counter (OTC) derivatives, including commodity swaps, fostering trust and encouraging institutional participation. Furthermore, the increasing emphasis on environmental, social, and governance (ESG) criteria is driving innovation in swap structures, with market participants seeking to align their risk management strategies with sustainability goals. This confluence of technology, regulation, and sustainability is creating new growth avenues for the commodity swaps market.
In addition to the traditional commodity swaps, the market is witnessing a growing interest in Swaptions, which are options on swaps. Swaptions provide market participants with the flexibility to enter into a swap agreement at a future date, offering a strategic tool for managing interest rate and currency risks. This financial instrument is particularly appealing to corporates and financial institutions looking to hedge against future uncertainties while maintaining the option to capitalize on favorable market conditions. The increasing complexity of global financial markets and the demand for tailored risk management solutions are driving the adoption of Swaptions, further diversifying the range of instruments available in the commodity swaps market.
From a regional perspective, North America currently leads the commodity swaps market, accounting for the largest share in 2024, followed by Europe and Asia Pacific. The dominance of North America is attributed to the presence of major commodity producers, advanced financial markets, and a high degree of regulatory transparency. EuropeÂ’s market is buoyed by strong participation from multinational corporates and robust regulatory oversig
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
China YiWu Small Commodity Price Index: Office Article & Stationery: Writing Tool data was reported at 101.100 Jul2006=100 in 22 Jul 2024. This records a decrease from the previous number of 101.160 Jul2006=100 for 15 Jul 2024. China YiWu Small Commodity Price Index: Office Article & Stationery: Writing Tool data is updated daily, averaging 100.715 Jul2006=100 from Sep 2006 (Median) to 22 Jul 2024, with 868 observations. The data reached an all-time high of 113.960 Jul2006=100 in 07 Aug 2017 and a record low of 93.860 Jul2006=100 in 07 Oct 2013. China YiWu Small Commodity Price Index: Office Article & Stationery: Writing Tool data remains active status in CEIC and is reported by Yiwu City Government. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OQ: YiWu Small Commodity Price Index: Weekly.