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.

CME feeder cattle futures

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

Feeder Cattle rose to 325.33 USd/Lbs on July 11, 2025, up 1.26% from the previous day. Over the past month, Feeder Cattle's price has risen 4.57%, and is up 25.78% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Feeder Cattle - values, historical data, forecasts and news - updated on July of 2025.

Live Cattle rose to 222.20 USd/Lbs on July 11, 2025, up 1.36% from the previous day. Over the past month, Live Cattle's price has fallen 2.65%, but it is still 21.79% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Live Cattle - values, historical data, forecasts and news - updated on July of 2025.

Graph and download economic data for Producer Price Index by Commodity: Farm Products: Slaughter Cattle (WPU0131) from Jan 1947 to May 2025 about slaughter, cattle, livestock, agriculture, commodities, PPI, inflation, price index, indexes, price, and USA.

Learn about the live weight price of cattle, also known as the beef market, and its impact on the US beef industry. Discover factors affecting prices and how the futures market helps mitigate risk for buyers and sellers.

Browse Feeder Cattle Futures (GF) market data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.

The CME Group Market Data Platform (MDP) 3.0 disseminates event-based bid, ask, trade, and statistical data for CME Group markets and also provides recovery and support services for market data processing. MDP 3.0 includes the introduction of Simple Binary Encoding (SBE) and Event Driven Messaging to the CME Group Market Data Platform. Simple Binary Encoding (SBE) is based on simple primitive encoding, and is optimized for low bandwidth, low latency, and direct data access. Since March 2017, MDP 3.0 has changed from providing aggregated depth at every price level (like CME's legacy FAST feed) to providing full granularity of every order event for every instrument's direct book. MDP 3.0 is the sole data feed for all instruments traded on CME Globex, including futures, options, spreads and combinations. Note: We classify exchange-traded spreads between futures outrights as futures, and option combinations as options.

Origin: Directly captured at Aurora DC3 with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP

Supported data encodings: DBN, CSV, JSON Learn more

Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics Learn more

Resolution: Immediate publication, nanosecond-resolution timestamps

Beef traded flat at 299.70 BRL/15KG on July 11, 2025. Over the past month, Beef's price has fallen 4.61%, but it is still 32.29% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Beef - values, historical data, forecasts and news - updated on July of 2025.

United States Core Inflation Nowcast: sa: Contribution: Commodity Prices: Live Cattle Futures: CME: Settlement Price: 1st Month data was reported at 0.007 % in 12 May 2025. This stayed constant from the previous number of 0.007 % for 05 May 2025. United States Core Inflation Nowcast: sa: Contribution: Commodity Prices: Live Cattle Futures: CME: Settlement Price: 1st Month data is updated weekly, averaging 0.057 % from Apr 2018 (Median) to 12 May 2025, with 369 observations. The data reached an all-time high of 15.363 % in 04 Jun 2018 and a record low of 0.000 % in 26 Feb 2024. United States Core Inflation Nowcast: sa: Contribution: Commodity Prices: Live Cattle Futures: CME: Settlement Price: 1st Month data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s United States – Table US.CEIC.NC: CEIC Nowcast: Inflation: Core.

United States PCE Inflation Nowcast: sa: Contribution: Commodity Prices: Live Cattle Futures: CME: Settlement Price: 1st Month data was reported at 0.000 % in 12 May 2025. This stayed constant from the previous number of 0.000 % for 05 May 2025. United States PCE Inflation Nowcast: sa: Contribution: Commodity Prices: Live Cattle Futures: CME: Settlement Price: 1st Month data is updated weekly, averaging 0.000 % from Apr 2019 (Median) to 12 May 2025, with 320 observations. The data reached an all-time high of 18.073 % in 25 Mar 2024 and a record low of 0.000 % in 12 May 2025. United States PCE Inflation Nowcast: sa: Contribution: Commodity Prices: Live Cattle Futures: CME: Settlement Price: 1st Month data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s United States – Table US.CEIC.NC: CEIC Nowcast: Personal Consumption Expenditure (PCE) Inflation: Headline.

Surrogate data results using rank-order statisticsa,b.

High prices have consistently elevated revenues for cattle producers over the current period but also discouraged herd rebuilding and drained cattle supplies. Cattle prices have surged due to reduced herds in North America, influenced by persistent droughts impeding effective herd rebuilding. Although producers are generally inclined to rebuild, the volatility of high prices, along with the unpredictability of future drought impacts, has discouraged extensive retention practices. Profit has also been pressured by elevated input costs, particularly feed, which remains significantly above pre-2020 levels. Compounding these challenges is the difficulty in passing increased costs onto consumers, who have shown a growing propensity to switch to alternative proteins. This, combined with the inherent volatility in agricultural outputs due to extreme weather events, continues to strain the financial health of producers despite elevated cattle prices. Overall, revenue has climbed at a CAGR of 4.6% over the five years to 2025, including an increase of 2.3% to an estimated $25.8 billion in 2025 alone as beef prices remain on the rise. Consumer behaviour around beef is being reshaped by health perceptions and sustainability concerns exacerbated by economic factors. Persistent health advisories recommending reduced red meat consumption influence both domestic and global market demands, pushing consumers towards substitute proteins. Awareness around sustainability is intensifying interest in plant-based alternatives as environmentally friendly consumption gains traction. While inflation has moderated overall, beef prices continue to rise in response to supply-related constraints, making the protein more costly and steering some consumers toward more affordable options. Industry associations and producers are focusing on marketing beef’s value, quality and affordability to retain consumer interest amid these shifting preferences. The future outlook for the cattle industry will be strongly influenced by red meat prices which will see initial short-term price increases and then expected to ease over time, ultimately resulting in higher price levels in 2030 compared to 2025. These trends are driven by supply constraints and shifting global demands, while herd rebuilding efforts will gradually moderate the huge price increases of the current period. Concurrently, sustained pressures from consumer sustainability concerns are likely to continue spurring interest in alternative proteins, propelling producers toward adopting emission-reducing production methods. Nonetheless, rising disposable incomes, especially in emerging export markets, present opportunities for Canadian producers by increasing demand for premium beef products. These markets promise to buffer challenges faced in traditional markets by amplifying the demand for high-quality, sustainable and organic beef. Capturing these opportunities will require focusing on market diversification, sustainable practices and product differentiation. Additionally, anticipated global population growth supports heightened protein demand overall, positioning Canadian beef exporters to thrive, provided they navigate competitive market dynamics and consumer preferences adeptly. Revenue is expected to climb at a CAGR of 0.4% to reach $26.36 billion over the five years to 2030.

Signal processing with singular spectrum analysisa.

Browse Live Cattle TAS Futures (LET) market data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.

The CME Group Market Data Platform (MDP) 3.0 disseminates event-based bid, ask, trade, and statistical data for CME Group markets and also provides recovery and support services for market data processing. MDP 3.0 includes the introduction of Simple Binary Encoding (SBE) and Event Driven Messaging to the CME Group Market Data Platform. Simple Binary Encoding (SBE) is based on simple primitive encoding, and is optimized for low bandwidth, low latency, and direct data access. Since March 2017, MDP 3.0 has changed from providing aggregated depth at every price level (like CME's legacy FAST feed) to providing full granularity of every order event for every instrument's direct book. MDP 3.0 is the sole data feed for all instruments traded on CME Globex, including futures, options, spreads and combinations. Note: We classify exchange-traded spreads between futures outrights as futures, and option combinations as options.

Origin: Directly captured at Aurora DC3 with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP

Supported data encodings: DBN, CSV, JSON Learn more

Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics Learn more

Resolution: Immediate publication, nanosecond-resolution timestamps

Browse Feeder Cattle Options (GF) market data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.

The CME Group Market Data Platform (MDP) 3.0 disseminates event-based bid, ask, trade, and statistical data for CME Group markets and also provides recovery and support services for market data processing. MDP 3.0 includes the introduction of Simple Binary Encoding (SBE) and Event Driven Messaging to the CME Group Market Data Platform. Simple Binary Encoding (SBE) is based on simple primitive encoding, and is optimized for low bandwidth, low latency, and direct data access. Since March 2017, MDP 3.0 has changed from providing aggregated depth at every price level (like CME's legacy FAST feed) to providing full granularity of every order event for every instrument's direct book. MDP 3.0 is the sole data feed for all instruments traded on CME Globex, including futures, options, spreads and combinations. Note: We classify exchange-traded spreads between futures outrights as futures, and option combinations as options.

Origin: Directly captured at Aurora DC3 with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP

Supported data encodings: DBN, CSV, JSON Learn more

Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics Learn more

Resolution: Immediate publication, nanosecond-resolution timestamps

Explore the complex factors influencing corn prices used in cattle feed, including supply and demand dynamics, weather conditions, global demand, government policies, and the futures market. Understand how these variables impact beef and dairy producers and their strategies for managing feed costs.

This dataset contains the data and scripts required to reproduce the tables and figures in the study titled "Income, consumer preferences, and the future of livestock-derived food demand." R scripts were run using R version 4.0.5 on Windows 10 x64. All the data and script should be placed in one folder. Add a R project into the folder (for example, "project_ldfDemand.Rproj"). Open the R project before running the scripts. The scripts (extension .R) are ordered sequentially, and should be run sequentially for the first time. The script "22masterFile.R" is the master file that runs all scripts sequentially from start to finish. The study generated simulation results in GAMS. The GAMS code is not part of the scripts in this dataset. Please direct any questions on the GAMS code and input data to Adam Komarek.

Current price of Beef National, Fresh 50%. Daily U.S. Prices of Proc. Beef per pound, based on negotiated prices and volume of boxed beef cuts delivered within 0-21 days and on average industry cutting yields.

Learn why retail beef prices in the US have increased significantly in 2021, including supply chain disruptions caused by COVID-19, labor shortages, and high demand for meat. Discover how different regions in the US affect beef prices and the potential future trend of prices.

The global ground beef market exhibits robust growth, driven by rising consumer demand for protein-rich foods and the convenience of ground beef in various culinary applications. While precise market size figures for the base year (2025) are unavailable, leveraging industry reports and considering similar protein markets, a reasonable estimate for the 2025 market size could be around $50 billion USD. Assuming a Compound Annual Growth Rate (CAGR) of 5% (a conservative estimate considering fluctuations in livestock prices and consumer spending), the market is projected to reach approximately $66 billion USD by 2033. This growth is fueled by several key factors. Increased disposable incomes in developing economies are broadening the consumer base for ground beef. Simultaneously, the growing popularity of fast-casual dining and ready-to-eat meal solutions featuring ground beef is further driving market expansion. However, challenges such as fluctuating livestock prices, concerns about the environmental impact of beef production, and the increasing popularity of plant-based meat alternatives pose potential restraints on market growth. The competitive landscape is dominated by large multinational corporations like Tyson Foods and JBS, but also includes numerous regional players. These companies are investing in innovative processing techniques, value-added products (e.g., seasoned ground beef blends), and sustainable farming practices to maintain their market share. Future growth will be influenced by factors such as technological advancements in meat processing, changes in consumer preferences (including demand for organic and grass-fed ground beef), and government regulations related to food safety and environmental sustainability. Successfully navigating these factors will be crucial for industry players seeking long-term success within this dynamic market.