CRB Index increased 16.18 points or 4.53% since the beginning of 2025, 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 2025.

Polypropylene decreased 66 CNY/T or 0.89% since the beginning of 2025, 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.

Coffee increased 55.82 USd/Lbs or 17.42% since the beginning of 2025, 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 March of 2025.

The average 2023 price of avocado oil in the USA was 10746 USD/MT.

Explore IMARC’s newly published report, titled “Avocado Oil Pricing Report 2024: Price Trend, Chart, Market Analysis, News, Demand, Historical and Forecast Data,” offers an in-depth analysis of avocado oil pricing, covering an analysis of global and regional market trends and the critical factors driving these price movements.

During the last quarter of 2024, methylamine prices in China reached 732 USD/MT in December. The market in the country stayed vibrant by striking a balance between stable production levels and variable raw material costs. Due to rising domestic and international demand, the pharmaceutical industry continued to grow rapidly.

Explore IMARC’s newly published report, titled “Methylamine Prices, Trend, Chart, Demand, Market Analysis, News, Historical and Forecast Data Report 2025 Edition,” offers an in-depth analysis of methylamine pricing, covering an analysis of global and regional market trends and the critical factors driving these price movements.

The Wood Pulp Market Reportis Segmented by Geography (North America, Europe, Asia-Pacific, South America, and Middle East and Africa). The Study Covers Production Analysis (Volume), Consumption Analysis (Value and Volume), Export Analysis (Value and Volume), Import Analysis (Value and Volume), and Price Trend Analysis of Wood Pulp At A Macro Level, in Addition To the Value Chain. The Report Offers Market Estimation and Forecast in Value (USD) and Volume (metric Tons).

The global green coffee market rose sharply to $39.9B in 2024, increasing by 5.2% against the previous year. The market value increased at an average annual rate of +2.1% from 2012 to 2024; the trend pattern indicated some noticeable fluctuations being recorded throughout the analyzed period. As a result, consumption attained the peak level of $40.8B. From 2023 to 2024, the growth of the global market failed to regain momentum.

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.

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.

How Do You Pick a Stock? (FR Stock 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

Gasoline increased 0.22 USD/GAL or 10.89% since the beginning of 2025, 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 March of 2025.

During the Q2 of 2024, the price of white oil in the United States reached 1638 USD/MT in June. The U.S. market exhibited stability, driven by a steady supply-demand outlook and regular refinery functions. Despite fluctuating rates of crude oil and minor geopolitical conflicts, the market remained resilient, with only slight seasonal price variations due to increased demand for cosmetic products during summer. In confluence with this, prices remained static compared to earlier quarters, reflecting a dependable pricing environment, ensuring minimal disruption in the white oil market.

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Precious Metals Market Size 2025-2029

The precious metals market size is forecast to increase by USD 105.3 billion at a CAGR of 6.4% between 2024 and 2029.

Precious metals, including platinum, palladium, gold, and silver, continue to be sought-after commodities in various industries, from consumer electronics and jewelry to renewable energy and wealth management. The market for precious metals is driven by their unique properties, such as high conductivity, resistance to corrosion, and use as catalysts in various applications. Composite materials incorporating precious metals, like tellurium in solar panels and beacon materials in semiconductors, are gaining popularity due to their enhanced performance. Moreover, the growing focus on Environmental, Social, and Governance (ESG) factors is influencing the market, with consumers and investors increasingly demanding responsible sourcing and ethical mining practices.Platinum, for instance, is extensively used in catalytic converters In the automotive industry to reduce emissions, making it a critical component In the transition to cleaner transportation. In the realm of consumer electronics, precious metals are essential for the production of high-performance computer components, such as memory chips and connectors. Renewable energy technologies, like solar panels and fuel cells, also rely on precious metals for their efficient operation. Exchange-Traded Funds (ETFs) offer investors a cost-effective way to gain exposure to the markets, making them an attractive investment option during economic uncertainty. However, challenges persist, such as the environmental impact of mining and extraction processes, geopolitical risks, and supply chain disruptions.Addressing these challenges through sustainable mining practices, technological innovations, and strategic partnerships will be crucial for the continued growth of the market.

What will be the Size of the Precious Metals Market during the forecast period?

Request Free SampleThe market encompasses gold, silver, platinum, and palladium, each with distinct roles in various industries. Gold, a traditional safe-haven asset, maintains demand for jewelry and as a store of value. Silver, with applications in jewelry, electronics, solar panels, and electric vehicles, exhibits price volatility due to its diverse usage. Platinum and palladium, collectively known as platinum group metals, are essential components in catalytic converters, electronics, and renewable energy technologies. The market size is substantial, driven by increasing demand from the electrical and electronics sector, solar panel manufacturers, and the jewelry industry. Environmental concerns and regulations, such as those related to carbon emissions and environmental pollution, further influence market dynamics.The Silver Institute and World Gold Council serve as key sources of industry insights and research.

How is this Precious Metals Industry segmented?

The precious metals industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. TypeGoldSilverPlatinumApplicationIndustrialJewelryInvestmentGeographyAPACChinaIndiaJapanSouth KoreaNorth AmericaCanadaUSEuropeGermanyUKFranceItalyMiddle East and AfricaSouth America

By Type Insights

The gold segment is estimated to witness significant growth during the forecast period.Precious metals, including gold, silver, platinum, and palladium, held significant market value in 2024. Gold, in particular, led the segment due to its enduring appeal as a safe-haven asset and store of value. Central banks, such as the US Federal Reserve and the Bank of Germany, continue to accumulate gold reserves, while investors seek refuge during economic uncertainty. Gold's unique properties, like malleability and conductivity, make it indispensable in various industries, including electronics, dentistry, and jewelry. The rise of gold exchange-traded funds (ETFs) has boosted investor accessibility, creating liquidity and demand. Despite price fluctuations, gold's importance remains undeniable, serving as a standard for stability and asset preservation amidst global financial volatility.Silver, platinum, and palladium also hold importance in diverse applications, such as jewelry, electronics, solar panels, electric vehicles, and catalytic converters. The market is influenced by geopolitical tensions, inflation concerns, currency fluctuations, and environmental impact, including climate change and renewable energy sources. The industry adheres to circular economy principles, sustainability, and brand reputation, offering eco-friendly products and complying with environmental standards. Precious metals' role in industries, from industrial and jewelry segments to investments, underscores their signif

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.

Does algo trading work? (EXPD Stock 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

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.

Civista Forecasts Positive Growth for (CIVB) Stock Amidst Industry Trends

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

According to Cognitive Market Research, the global Carbon Black Oil Market size will be USD 28142.6 million in 2024. It will expand at a compound annual growth rate (CAGR) of 5.00% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 11257.04 million in 2024 and will grow at a compound annual growth rate (CAGR) of 3.2% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 8442.78 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 6472.80 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.0% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 1407.13 million in 2024 and will grow at a compound annual growth rate (CAGR) of 4.4% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 562.85 million in 2024 and will grow at a compound annual growth rate (CAGR) of 4.7% from 2024 to 2031.
The Rubber Reinforcement held the highest Carbon Black Oil Market revenue share in 2024.

Market Dynamics of Carbon Black Oil Market

Key Drivers for Carbon Black Oil Market

The Significant Role of the Automotive Industry's Expansion in Emerging Economies in Fueling Growth in the Carbon Black Oil Market

The automotive industry's expansion, particularly in emerging economies, is a significant driver of the carbon black oil market. As vehicle production rises to meet escalating consumer demand, the need for high-quality rubber tires intensifies. Carbon black oil, a crucial component in tire manufacturing, reinforces rubber compounds, enhancing tire durability and performance. Moreover, the increasing trend towards lightweight vehicles for improved fuel efficiency further boosts the demand for carbon black oil-based materials in automotive applications. This symbiotic relationship between the automotive industry's growth and the carbon black oil market underscores the market's robustness and promising outlook.

The Role of Carbon Black Oil in Driving Growth in the Construction Industry

The construction industry's resurgence, propelled by urbanization, infrastructure development projects, and economic growth, is another key driver of the carbon black oil market. Carbon black oil finds extensive use in construction materials such as concrete, asphalt, and coatings. In concrete, it enhances strength, durability, and resistance to environmental factors, making it ideal for infrastructure projects. Additionally, carbon black oil-based coatings provide protective layers against corrosion, weathering, and abrasion, prolonging the lifespan of structures. With the construction sector witnessing sustained expansion globally, the demand for carbon black oil in construction applications is expected to continue its upward trajectory, presenting lucrative opportunities for market players.

Restraint Factor for the Carbon Black Oil Market

Navigating Price Volatility in the Carbon Black Oil Market

One restraint of the Carbon Black Oil Market lies in its susceptibility to price volatility driven by fluctuating crude oil prices. Carbon black oil, derived from heavy petroleum feedstocks, is closely tied to the dynamics of the oil market. Any shifts in global oil supply and demand, geopolitical tensions, or regulatory changes affecting the oil industry can directly impact the cost of carbon black oil production. This volatility poses challenges for manufacturers and consumers alike, leading to uncertainty in pricing strategies, production planning, and overall market stability. Moreover, prolonged periods of high oil prices can exert pressure on margins and profitability within the carbon black oil industry, constraining growth and investment opportunities.

Impact of Covid-19 on the Carbon Black Oil Market

The Carbon Black Oil Market witnessed a significant impact from the COVID-19 pandemic. Supply chain disruptions, reduced industrial activities, and constrained consumer spending led to a decline in demand for carbon black oil across various end-use industries such as automotive, construction, and manufacturing. Lockdown measures and travel restrictions further exacerbated the situation, hindering production and distribution channels....

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...

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.

Rocket Lab (RKLB) Stock Forecast: Optimistic Outlook

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.

How Do You Pick a Stock? (NSE IRB Stock 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

As of 2024, the global polysilicon market was estimated to have a value of nearly 14.5 billion U.S. dollars. It is forecast that in 2029, this value will grow to nearly 27 billion U.S. dollars.

Polysilicon, also known as polycrystalline silicon or poly-Si, is a polycrystalline form of the elemental metal silicon. It has a high purity and is obtained through metallurgical grade silicon using a chemical purification process.

In 2024, the global citric acid market decreased by -0.9% to $7.3B, falling for the second consecutive year after five years of growth. Over the period under review, the total consumption indicated noticeable growth from 2012 to 2024: its value increased at an average annual rate of +3.8% over the last twelve years. The trend pattern, however, indicated some noticeable fluctuations being recorded throughout the analyzed period. Based on 2024 figures, consumption decreased by -15.3% against 2022 indices.