Brent rose to 70.45 USD/Bbl on July 14, 2025, up 0.12% from the previous day. Over the past month, Brent's price has fallen 3.80%, and is down 16.98% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Brent crude oil - values, historical data, forecasts and news - updated on July of 2025.

Prices of Bitcoin, US stock indices, Gold and crude oil

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

Context

Content

Ticker Description 0 GC=F Gold 1 SI=F Silver 2 CL=F Crude Oil 3 ^GSPC S&P500 4 PL=F Platinum 5 HG=F Copper 6 DX=F Dollar Index 7 ^VIX Volatility Index 8 EEM MSCI EM ETF 9 EURUSD=X Euro USD 10 ^N100 Euronext100 11 ^IXIC Nasdaq 12 ^BSESN Bse sensex 13 ^NSEI Nifty 50 14 ^DJI Dow

Commodity Index Funds Market Outlook

The global commodity index funds market size was valued at approximately $200 billion in 2023 and is projected to reach nearly $400 billion by 2032, growing at a robust CAGR of 7.5% during the forecast period. The significant growth in this market can be attributed to the increasing demand for diversification in investment portfolios and the inherent benefits of hedging against inflation that commodity investments provide. Furthermore, the volatility in global stock markets and geopolitical uncertainties have led investors to seek safer, more stable investment avenues, thus driving the growth of commodity index funds.

One of the primary growth factors propelling the commodity index funds market is the rising awareness among investors about the advantages of commodity investments as a hedge against inflation. Commodities, unlike stocks and bonds, often move inversely to the stock market, providing a cushion during market downturns. This characteristic makes commodity index funds an attractive option for risk-averse investors and those looking to balance their portfolios. Additionally, the globalization of trade and the increasing demand for raw materials in emerging markets have further spurred the demand for commodity investments.

Technological advancements in trading platforms have also significantly contributed to the growth of this market. The advent of sophisticated online platforms has made it easier for retail investors to access and invest in commodity index funds. These platforms offer a range of tools and resources that help investors make informed decisions, thereby democratizing access to commodity investments. Moreover, the rise of robo-advisors and algorithm-based trading strategies has further simplified the investment process, attracting a new generation of tech-savvy investors.

The regulatory landscape has also played a crucial role in shaping the commodity index funds market. Governments and financial regulatory bodies across the globe have been working to create a transparent and secure trading environment. Regulatory reforms aimed at reducing market manipulation and increasing transparency have instilled confidence among investors, thereby boosting the market. Additionally, tax incentives and favorable policies for commodity investments in various countries have also contributed to market growth.

In terms of regional outlook, North America holds a significant share of the global commodity index funds market, followed by Europe and Asia Pacific. The presence of well-established financial markets and a high level of investor awareness in North America are key factors driving the market in this region. Europe, with its strong regulatory framework and increasing adoption of alternative investment strategies, is also witnessing substantial growth. Meanwhile, the Asia Pacific region is emerging as a lucrative market, driven by the rapid economic growth in countries like China and India, and the increasing interest in commodity investments among institutional and retail investors.

Fund Type Analysis

When analyzing the market by fund type, Broad Commodity Index Funds dominate the landscape. These funds invest in a diversified portfolio of commodities, making them a popular choice for investors seeking broad exposure to the commodity markets. The broad commodity index funds are designed to track the performance of a basket of commodities, ranging from energy products to metals and agricultural goods. This diversification helps mitigate risks associated with the volatility of individual commodities, thereby providing a more stable investment option for risk-averse investors.

Single Commodity Index Funds, on the other hand, focus on specific commodities such as gold, oil, or agricultural products. These funds appeal to investors who have a strong conviction about the performance of a particular commodity. For instance, during periods of economic uncertainty, gold-focused funds often see a surge in demand as investors flock to the safe-haven asset. Similarly, energy-focused funds attract investors when there are disruptions in oil supply or significant geopolitical events affecting oil prices. While these funds offer the potential for high returns, they also come with higher risks due to their lack of diversification.

Sector Commodity Index Funds are another important segment within the commodity index funds market. These funds concentrate on commodities within a specific sector, such as energy, agriculture, or metals, allowing investors to target particular segments of the commo

The statistical results of time-frequency dynamics of return spillovers in crude oil, gold, and Bitcoin markets.

Graph and download economic data for Industrial Production: Mining: Gold Ore and Silver Ore Mining (NAICS = 21222) (IPG21222A) from 1972 to 2024 about silver, ore, extraction, gold, oil, NAICS, mining, gas, and USA.

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.

MV Oil: Black Gold or Fool's Gold? (MVO)

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

Descriptive Statistics of return, volatility, and sentiment in crude oil, gold, and Bitcoin markets.

United States - Relative Importance Weights (Contribution to the Total Industrial Production Index): Mining, Quarrying, and Oil and Gas Extraction: Gold Ore and Silver Ore Mining (NAICS = 21222) was 0.21% in May of 2025, according to the United States Federal Reserve. Historically, United States - Relative Importance Weights (Contribution to the Total Industrial Production Index): Mining, Quarrying, and Oil and Gas Extraction: Gold Ore and Silver Ore Mining (NAICS = 21222) reached a record high of 0.33 in May of 2020 and a record low of 0.01 in January of 1972. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Relative Importance Weights (Contribution to the Total Industrial Production Index): Mining, Quarrying, and Oil and Gas Extraction: Gold Ore and Silver Ore Mining (NAICS = 21222) - last updated from the United States Federal Reserve on July of 2025.

The Over-the-Counter (OTC) Commodity Trading Platform market is experiencing robust growth, driven by increasing demand for efficient and transparent trading solutions. The market's size in 2025 is estimated at $150 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 8% from 2025 to 2033. This growth is fueled by several key factors, including the rising adoption of electronic trading platforms, increasing globalization of commodity markets, and the growing need for sophisticated risk management tools among both institutional and retail investors. Furthermore, the integration of advanced technologies such as artificial intelligence and machine learning is enhancing trading efficiency and facilitating data-driven decision-making, further boosting market expansion. The increasing volatility in commodity prices also necessitates the use of efficient OTC platforms for hedging and speculation, contributing to the market's positive growth trajectory. Several key segments within the OTC Commodity Trading Platform market are contributing to this expansion. These include energy commodities (crude oil, natural gas), precious metals (gold, silver, platinum), and agricultural commodities (corn, wheat, soybeans). The market's geographical spread is also significant, with North America, Europe, and Asia-Pacific representing key regional hubs. Leading players in this dynamic market landscape include GAIN Global Markets Inc., AxiTrader Limited, LMAX Global, IG Group, CMC Markets, Saxo Bank, Ibg Holdings, L.L.C., City Index, XXZW Investment Group SA, eToro, and StoneX, each vying for market share through product innovation and strategic partnerships. The competitive landscape is characterized by ongoing technological advancements and a focus on providing clients with enhanced trading experiences. The forecast period of 2025-2033 suggests continuous expansion, albeit at a potentially moderating pace as the market matures.

EGPB - An Event-based Gold Price Benchmark Dataset

This benchmark dataset consists of 8030 rows and 36 variables sourced from multiple credible economic websites, covering a period from January 2001 to December 2022. This dataset can be utilized to predict gold prices specifically or to aid any economic field that is influenced by the variables in this dataset.

Key variables & Features include:

• Previous gold prices

• Future gold prices with predictions for one day, one week, and one month

• Oil prices

• Standard & Poor's 500 Index (S&P 500)

• Dow Jones Industrial (DJI)

• US dollar index

• US treasury

• Inflation rate

• Consumer price index (CPI)

• Federal funds rate

• Silver prices

• Copper prices

• Iron prices

• Platinum prices

• Palladium prices

Additionally, the dataset considers global events that may impact gold prices, which were categorized into groups and collected from three distinct sources: the Al-Jazeera website spanning from 2022 to 2019, the Investing website spanning from 2018 to 2016, and the Yahoo Finance website spanning from 2007 to 2001.

These events data were then divided into multiple groups:

• Economic data

• Politics

• logistics

• Oil

• OPEC

• Dollar currency

• Sterling pound currency

• Russian ruble currency

• Yen currency

• Euro currency

• US stocks

• Global stocks

• Inflation

• Job reports

• Unemployment rates

• CPI rate

• Interest rates

• Bonds

These events were encoded using a numeric value, where 0 represented no events, 1 represented low events, 2 represented high events, 3 represented stable events, 4 represented unstable events, and 5 represented events that were observed during the day but had no effect on the dataset.

Cite this dataset: Farah Mansour and Wael Etaiwi, "EGPBD: An Event-based Gold Price Benchmark Dataset," 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Tenerife, Canary Islands, Spain, 2023, pp. 1-7, doi: 10.1109/ICECCME57830.2023.10252987.

@INPROCEEDINGS{10252987, author={Mansour, Farah and Etaiwi, Wael}, booktitle={2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)}, title={EGPBD: An Event-based Gold Price Benchmark Dataset}, year={2023}, volume={}, number={}, pages={1-7}, doi={10.1109/ICECCME57830.2023.10252987}}

CRB Index fell to 373.31 Index Points on July 14, 2025, down 0.01% from the previous day. Over the past month, CRB Index's price has fallen 1.86%, but it is still 10.05% 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 July of 2025.

Time series of major commodity prices and indices including iron, cooper, wheat, gold, oil. Data comes from the International Monetary Fund (IMF).

All rights are reserved

Dataset contains Monthly ...

Between June 2009 and June 2019, gold had an annualized daily volatility of 15.81 percent, which made it considerably less volatile than silver and the Bloomberg WTI Oil Index.

NYMEX is a commodity futures exchange operating as part of the CME Group and primarily trades energy and metal contracts. NYMEX is known for trading futures contracts for crude oil, natural gas, heating oil, gasoline, and other energy products, as well as contracts for metals such as gold, silver, copper, and aluminum.

We developed a new method to obtain chemical and refractive index sensing between the 1 and 2.5 micron near-infrared wavelength on nanoporous gold (NPG) disks. We fabricated NPG disks in the laboratory by sputtering a gold-silver alloy film onto a glass substrate at approximately 80 nm thickness. Polystyrene beads were deposited onto the alloy film in a single layer and were reduced in size using an oxygen plasma treatment. The bead pattern was transferred onto the alloy using a sputter-etch method in argon plasma. After etching, the alloy was sonicated in chloroform to remove residual beads. The disks were then dealloyed using nitric acid. We measured infrared absorption using dispersive scanning UV-Vis-NIR and FT-IR inteferometric spectrometers. This dataset reports the extinction spectra of water on NPG disks with diameters of either 350 or 600 nm. For NPG disks of 350 nm diameter the extinction spectra are also provided for 6 other solvents with different refractive indices: salt water, ethanol, hexane, iso-octane, hexadecane, and toluene. We examined the surface-enhanced near-infrared absorption of 350 nm and 600 nm diameter NPG disks with a self-assembled monolayer (SAM) of octadecanethiol (ODT) and report the extinction spectra in this dataset. The surface-enhanced near-infrared absorption (SENIRA) spectra of each of hexadecane, dodecane, siloxane, pyrene, and Louisiana sweet grade crude oil on either 350 nm or 600 nm NPG disks is reported in this dataset. Lastly we deposited a film poly(methyl methacrylate) (PMMA) of varying thickness onto the NPG disk substrate. The PMMA films varied in thickness from 50-150 nm. The surface-enhanced near-infrared absorption spectra of 350 nm and 600 nm NPG disks on films of 50-150 nm in thickness is reported in this dataset, as well as the wavelength shift at 1398 nm. This dataset is associated with the paper: Shih, W. - C., Santos, G. M., Zhao, F., Zenasni, O., & Arnob, M. M. P. (2016). Simultaneous Chemical and Refractive Index Sensing in the 1-2.5 μm Near-Infrared Wavelength Range on Nanoporous Gold Disks. Nano Lett., 16(7), 4641–4647, doi:10.1021/acs.nanolett.6b01959.

United States IPI: Mining: Except Oil & Gas: MO: Gold & Silver data was reported at 78.240 2002=100 in May 2010. This records an increase from the previous number of 75.950 2002=100 for Apr 2010. United States IPI: Mining: Except Oil & Gas: MO: Gold & Silver data is updated monthly, averaging 97.979 2002=100 from Jan 1986 (Median) to May 2010, with 293 observations. The data reached an all-time high of 152.933 2002=100 in Feb 1998 and a record low of 35.827 2002=100 in Jan 1986. United States IPI: Mining: Except Oil & Gas: MO: Gold & Silver data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.B034: Industrial Production Index: By NAIC System: 2002=100: Mining and Electric & Gas Utility.

United States - Industrial Production: Mining, Quarrying, and Oil and Gas Extraction: Gold Ore and Silver Ore Mining (NAICS = 21222) was 71.46970 Index 2012=100 in January of 2025, according to the United States Federal Reserve. Historically, United States - Industrial Production: Mining, Quarrying, and Oil and Gas Extraction: Gold Ore and Silver Ore Mining (NAICS = 21222) reached a record high of 168.03840 in January of 1998 and a record low of 12.82320 in July of 1980. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Industrial Production: Mining, Quarrying, and Oil and Gas Extraction: Gold Ore and Silver Ore Mining (NAICS = 21222) - last updated from the United States Federal Reserve on June of 2025.

Mexico PPI: Weights: Mining incl Oil: MN: Metal Ores: Gold & Silver data was reported at 0.510 % in 2024. This stayed constant from the previous number of 0.510 % for 2023. Mexico PPI: Weights: Mining incl Oil: MN: Metal Ores: Gold & Silver data is updated yearly, averaging 0.510 % from Dec 2019 (Median) to 2024, with 6 observations. The data reached an all-time high of 0.510 % in 2024 and a record low of 0.510 % in 2024. Mexico PPI: Weights: Mining incl Oil: MN: Metal Ores: Gold & Silver data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.I041: Producer Price Index: Jul2019=100: Weights.