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.

GSCI increased 9.31 points or 1.69% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. GSCI Commodity Index - values, historical data, forecasts and news - updated on March of 2025.

Graph and download economic data for Global Price Index of All Commodities (PALLFNFINDEXQ) from Q1 2003 to Q4 2024 about World, commodities, price index, indexes, and price.

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.

Is the TR/CC CRB Unleaded Gas Index a Reliable Fuel 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

China Retail Sales Nowcast: YoY: Contribution: Stock Exchange Index: CRB Spot Index: Foodstuffs data was reported at 0.304 % in 10 Mar 2025. This records an increase from the previous number of 0.299 % for 03 Mar 2025. China Retail Sales Nowcast: YoY: Contribution: Stock Exchange Index: CRB Spot Index: Foodstuffs data is updated weekly, averaging 0.003 % from Feb 2021 (Median) to 10 Mar 2025, with 215 observations. The data reached an all-time high of 23.197 % in 07 Nov 2022 and a record low of 0.000 % in 02 Dec 2024. China Retail Sales Nowcast: YoY: Contribution: Stock Exchange Index: CRB Spot Index: Foodstuffs data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s China – Table CN.CEIC.NC: CEIC Nowcast: Retail Sales.

Steel decreased 101 Yuan/MT or 3.05% since the beginning of 2025, 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 March of 2025.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

TR/CC CRB Cottonindex: A Reliable Guide to the Global Cotton Market?

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

Indonesia Inflation Nowcast: Contribution: Equity Market: CRB Spot Index: Livestock data was reported at 0.000 % in 03 Mar 2025. This stayed constant from the previous number of 0.000 % for 24 Feb 2025. Indonesia Inflation Nowcast: Contribution: Equity Market: CRB Spot Index: Livestock data is updated weekly, averaging 0.000 % from Jun 2020 (Median) to 03 Mar 2025, with 249 observations. The data reached an all-time high of 35.281 % in 22 Nov 2021 and a record low of 0.000 % in 03 Mar 2025. Indonesia Inflation Nowcast: Contribution: Equity Market: CRB Spot Index: Livestock data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s Indonesia – Table ID.CEIC.NC: CEIC Nowcast: Inflation: Headline.

Indonesia Inflation Nowcast: Contribution: Equity Market: CRB Spot Index: Raw Industries data was reported at 0.000 % in 10 Mar 2025. This stayed constant from the previous number of 0.000 % for 03 Mar 2025. Indonesia Inflation Nowcast: Contribution: Equity Market: CRB Spot Index: Raw Industries data is updated weekly, averaging 0.000 % from Jun 2020 (Median) to 10 Mar 2025, with 250 observations. The data reached an all-time high of 31.975 % in 06 Jan 2025 and a record low of 0.000 % in 10 Mar 2025. Indonesia Inflation Nowcast: Contribution: Equity Market: CRB Spot Index: Raw Industries data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s Indonesia – Table ID.CEIC.NC: CEIC Nowcast: Inflation: Headline.

Indonesia Inflation Nowcast: Contribution: Equity Market: CRB Spot Index: Textiles data was reported at 0.000 % in 10 Mar 2025. This stayed constant from the previous number of 0.000 % for 03 Mar 2025. Indonesia Inflation Nowcast: Contribution: Equity Market: CRB Spot Index: Textiles data is updated weekly, averaging 0.000 % from Jun 2020 (Median) to 10 Mar 2025, with 250 observations. The data reached an all-time high of 26.608 % in 26 Feb 2024 and a record low of 0.000 % in 10 Mar 2025. Indonesia Inflation Nowcast: Contribution: Equity Market: CRB Spot Index: Textiles data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s Indonesia – Table ID.CEIC.NC: CEIC Nowcast: Inflation: Headline.

Malaysia Core Inflation Nowcast: Contribution: Equity Market: CRB Spot Index: Fats & Oils data was reported at 0.000 % in 10 Mar 2025. This stayed constant from the previous number of 0.000 % for 03 Mar 2025. Malaysia Core Inflation Nowcast: Contribution: Equity Market: CRB Spot Index: Fats & Oils data is updated weekly, averaging 0.000 % from Oct 2020 (Median) to 10 Mar 2025, with 230 observations. The data reached an all-time high of 30.723 % in 12 Apr 2021 and a record low of 0.000 % in 10 Mar 2025. Malaysia Core Inflation Nowcast: Contribution: Equity Market: CRB Spot Index: Fats & Oils data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s Malaysia – Table MY.CEIC.NC: CEIC Nowcast: Inflation: Core.

原材料价格指数：信贷零售银行期货在10-01-2018达190.9661967=100，相较于09-01-2018的195.1591967=100有所下降。原材料价格指数：信贷零售银行期货数据按月更新，01-01-1974至10-01-2018期间平均值为233.4551967=100，共538份观测结果。该数据的历史最高值出现于06-01-2008，达462.7401967=100，而历史最低值则出现于02-01-2016，为163.2161967=100。CEIC提供的原材料价格指数：信贷零售银行期货数据处于定期更新的状态，数据来源于Swiss National Bank，数据归类于Global Database的瑞士 – 表 CH.I017：原材料价格指数。