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Live Cattle rose to 230 USd/Lbs on August 1, 2025, up 0.98% from the previous day. Over the past month, Live Cattle's price has risen 8.20%, and is up 25.01% compared to the same time last year, 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 August of 2025.
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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.
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)
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)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
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
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
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Feeder Cattle rose to 334.41 USd/Lbs on August 1, 2025, up 0.92% from the previous day. Over the past month, Feeder Cattle's price has risen 8.26%, and is up 34.19% 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 August of 2025.
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Cattle futures continue their bullish rally, with prices reaching new highs due to supply constraints and steady demand, despite the offseason.
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Graph and download economic data for Producer Price Index by Commodity: Farm Products: Slaughter Cattle (WPS0131) from Jan 1967 to Jun 2025 about slaughter, cattle, livestock, agriculture, commodities, PPI, inflation, price index, indexes, price, and USA.
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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.
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Beef traded flat at 294.35 BRL/15KG on August 1, 2025. Over the past month, Beef's price has fallen 5.25%, but it is still 26.90% 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 August of 2025.
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Surrogate data results using rank-order statisticsa,b.
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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.
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Signal processing with singular spectrum analysisa.
This series gives the average farmgate prices of selected livestock across Great Britain from a range of auction markets. The prices are national averages of prices charged for sheep, cattle, and pigs in stores and finished auction markets. This publication is updated monthly.
We have now withdrawn updates to both the Store and Finished Livestock datasets. We are currently assessing the user base for liveweight livestock prices to inform future data collection processes. If liveweight price data is useful to you please contact us at prices@defra.gov.uk to let us know.
For the latest deadweight livestock prices, please visit the AHDB website at https://ahdb.org.uk/markets-and-prices" class="govuk-link">Markets and prices - AHDB.
Defra statistics: prices
Email mailto:prices@defra.gov.uk">prices@defra.gov.uk
<p class="govuk-body">You can also contact us via Twitter: <a href="https://twitter.com/DefraStats" class="govuk-link">https://twitter.com/DefraStats</a></p>
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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.
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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.
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Discover the reasons behind rising beef prices and how they affect consumers, with insights into supply challenges, demand trends, and future expectations.
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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.
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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.
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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.
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Meat prices have been fluctuating over the past few decades and the demand for meat seems to have direct long-term relationship with consumers' income. Here, we can utilise these data to predict future prices of meat.
Data is obtained from Indexmundi.
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Livestock product prices serve as a barometer and bellwether for the agricultural market. However, traditional point prediction techniques focus mainly on tracking or fitting, resulting in limited information and challenges in evaluating the uncertainty of future prices. A comprehensive livestock price prediction model with joint point and interval prediction capabilities is proposed, with fuzzy mathematics and long short-term memory. Three main steps are taken: (1) data composition and reconstruction, to extract a set of relatively stationary subsequence components by complementary ensemble empirical mode decomposition (CEEMD) from original signal, and divide these components into three groups according to fuzzy entropy (FE) value. (2) characteristics categorization, determining the lower bound, mean, and upper bound of the rebuilt data via fuzzy information granulation (FIG) to better characterize the price fluctuation range. (3) price prediction, including point and interval predictions with attention mechanism long short-term memory (AM-LSTM). An empirical study was conducted on the weekly price data of pork, beef, and mutton in China from 2009 to 2023, incorporating discussions on different embedding dimensions, prediction step, fuzzy granulation window sizes, decomposition techniques, and prediction algorithms. The results indicate that the proposed interval prediction model can not only achieve high accuracy in point prediction, but also better capture price change intervals.
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The global beef market, a significant segment within the broader meat industry, is experiencing robust growth driven by increasing global population, rising disposable incomes, and shifting dietary preferences in developing economies. The market size in 2025 is estimated at $250 billion USD, reflecting substantial demand from foodservice customers and retail channels. A Compound Annual Growth Rate (CAGR) of 4% is projected from 2025 to 2033, indicating consistent expansion. Key growth drivers include the rising popularity of beef in processed foods, the increasing demand for high-quality beef cuts, and the expansion of global food retail chains. The frozen beef segment currently holds a larger market share than fresh beef, attributed to its longer shelf life and ease of transportation. However, increasing consumer preference for fresh and sustainable beef products is driving growth in the fresh beef segment. Geographic segmentation reveals that North America and Europe currently dominate the market, though Asia-Pacific shows promising growth potential due to rising middle-class populations and increased meat consumption in emerging markets like China and India. Challenges, including fluctuating beef prices influenced by factors such as climate change and feed costs, and growing concerns about the environmental impact of beef production, present potential restraints on market expansion. Furthermore, stricter regulations on food safety and sustainability are influencing market dynamics. Strategic market players are focusing on diversifying their product offerings, improving supply chain efficiency, and adopting sustainable farming practices to address consumer demands and regulatory requirements. The increasing use of technology in beef production, from precision agriculture to advanced processing techniques, is expected to enhance efficiency and reduce costs. The market is highly competitive, with major players across North America, South America, the European Union, and Asia-Pacific. Companies are increasingly engaging in mergers and acquisitions, brand building, and product innovation to gain a competitive edge. Successful strategies involve catering to diverse consumer needs and preferences, promoting beef as a source of high-quality protein, and proactively addressing sustainability concerns. The overall outlook for the beef market remains positive, with continuous growth expected throughout the forecast period, driven by a combination of market dynamics and evolving consumer trends.
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Live Cattle rose to 230 USd/Lbs on August 1, 2025, up 0.98% from the previous day. Over the past month, Live Cattle's price has risen 8.20%, and is up 25.01% compared to the same time last year, 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 August of 2025.