Live Cattle rose to 239.65 USd/Lbs on August 29, 2025, up 1.15% from the previous day. Over the past month, Live Cattle's price has risen 2.82%, and is up 34.14% 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 September of 2025.

Feeder Cattle rose to 365.53 USd/Lbs on September 2, 2025, up 0.21% from the previous day. Over the past month, Feeder Cattle's price has risen 8.98%, and is up 51.35% 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 September of 2025.

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

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

The Livestock and Meat Trade Data Set contains monthly and annual data for imports and exports of live cattle, hogs, sheep, and goats, as well as beef and veal, pork, lamb and mutton, chicken meat, turkey meat, and eggs. The tables report physical quantities, not dollar values or unit prices. Data on beef and veal, pork, and lamb and mutton are on a carcass-weight-equivalent basis. Breakdowns by country are included.

Cattle auction markets are business entities that facilitate the transfer of cattle among livestock producers. Transfer of ownership is typically concurrent with physical movement of livestock from a consignor's animal holding on to the auction's premises and then off again to the buyer's animal holding. Because auction markets provide hubs in the cattle transportation network, they provide a unique opportunity for livestock disease transmitting contacts between otherwise isolated farms, ranches and other animal holdings. For this reason, a post-hoc analysis of the 2001 foot-and-mouth epidemic in the UK supported targeting containment policies around livestock auction markets at high risk of marketing animals from an infectious holding (Shirley & Rushton 2005). Any similar analysis in the US would require basic data on the locations of auction markets and their contact with livestock producers, but no such dataset exists; the agricultural census conducted by the US Department of Agriculture's National Agricultural Statistics Service (NASS) is restricted to qualifying farms (Anon. 2014, Appendix A). However, directories of livestock auction markets are maintained by different private and public entities for various purposes. While none of these provide a comprehensive list of cattle auction markets, this study produced a compilation of four such lists yielding the most comprehensive, spatially explicit accounting of cattle auction markets currently available for the US. The list of cattle auctions was compiled from the following publicly available directories: Animal and Plant Health Inspection Service (APHIS) of the US Department of Agriculture (USDA) Summary: Facilities approved to handle livestock for interstate commerce, pursuant to Title 9 of the Code of Federal Regulations, Section 71.1. Link: Approved Livestock Markets Grain Inspection, Packers and Stock yards Administration (GIPSA) of the USDA Summary: Market agencies selling livestock that are required to register with GIPSA under the Packers and Stockyards Act. Link: Registered and Bonded Market Agencies Selling Livestock on Commission Agricultural Marketing Service (AMS) of the USDA Summary: Market News publications catalogue price and sales information at cattle auctions distributed across multiple states. Link: Slaughter Cattle Auctions Link: Feeder and Replacement Cattle Auctions Livestock Marketing Association (LMA) Summary: Trade association and insurance agency representing livestock markets and dealers nationwide. Link: Auction/Dealer Locator Service We employed a conservative matching procedure to identify markets represented in multiple lists and assign them a common premises identifier. Subsequently, the county or county equivalent where each premises is located was found by combining address information from each corresponding market. To identify the county containing a city or street address, we used two geocoding web services, GeoNames and Nominatim via the MapQuest Open Geocoding Service. No attempt was made to complete partial entries or correct incorrect address components in the compiled market list. Only 36 of 1814 premises could not be assigned to a county due to incomplete or contradictory address information. Links given below as Related Material provide source code for the market matching procedure and a map of the distribution of cattle auction markets from the compiled list. Related Material: GitHub repository for market de-duplication and county assignment methods Data visualization on Google Fusion Tables

This dataset provides values for FEEDER CATTLE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Indonesia Import: Value: Live Cattle, Pure-Bred Breeding Animals data was reported at 0.116 USD mn in Dec 2024. This records a decrease from the previous number of 2.221 USD mn for Jul 2024. Indonesia Import: Value: Live Cattle, Pure-Bred Breeding Animals data is updated monthly, averaging 0.672 USD mn from Jan 2019 (Median) to Dec 2024, with 28 observations. The data reached an all-time high of 3.811 USD mn in Apr 2023 and a record low of 0.040 USD mn in Mar 2021. Indonesia Import: Value: Live Cattle, Pure-Bred Breeding Animals data remains active status in CEIC and is reported by Statistics Indonesia. The data is categorized under Indonesia Premium Database’s Foreign Trade – Table ID.JAH099: Foreign Trade: by HS 8 Digits: Import: HS01: Live Animals.

Global trade data of Live cattle under 0102299100, 0102299100 global trade data, trade data of Live cattle from 80+ Countries.

The purpose of this report is to provide a five-year trend analysis of Alberta exports and imports of beef and live cattle. Selected comparative data for Canada and the provinces are also provided. This detailed information is presented in the form of statistical tables, figures and highlights.

Bluetongue disease (BT) is a viral disease that can be introduced through imported animals and animal products, affecting local animal husbandry. In this study, the spatial and temporal patterns of BT outbreaks (outbreak: a BT infection in cattle, sheep, or goats on a farm, involving at least one infected animal) in France were analyzed and the risk of introducing bluetongue virus (BTV) into countries through trade was assessed. A spatiotemporal analysis of BT reported during the study period (2015–2018) showed that there were clustered outbreaks of BT in France in 2016 and 2017, with outbreaks concentrated from August to December. The outbreak moved eastward from the center of mainland France to surrounding countries. A semi-quantitative risk analysis framework was established by combining the likelihood assessment and consequence analysis of introducing BTV into trading countries through trade. Exemplified by China, the research showed that in the analysis of the likelihood of BTV from France being introduced into trading countries through live cattle trade, China imports a large number of live cattle, bringing high risks. The likelihood of introducing bovine semen into trading countries was similar to that of live cattle, but the harm caused by the trade in live cattle was higher than that caused by the trade in bovine semen. This risk analysis framework can provide a reference for other countries to quickly assess the risk of bluetongue transmission in import and export trade.

Brazil Exports: FOB: Venezuela: Live Cattle data was reported at 0.000 USD mn in Jun 2018. This stayed constant from the previous number of 0.000 USD mn for May 2018. Brazil Exports: FOB: Venezuela: Live Cattle data is updated monthly, averaging 26.882 USD mn from Mar 2002 (Median) to Jun 2018, with 138 observations. The data reached an all-time high of 88.382 USD mn in Jan 2014 and a record low of 0.000 USD mn in Jun 2018. Brazil Exports: FOB: Venezuela: Live Cattle data remains active status in CEIC and is reported by Special Secretariat for Foreign Trade and International Affairs. The data is categorized under Brazil Premium Database’s Foreign Trade – Table BR.JAC001: Exports: Principal Commodities.

Access Feeder Cattle import export data of global countries with importers' & exporters' details, shipment date, price, hs code, ports, quantity etc.

Beef cattle farmers have faced volatile operating conditions over recent years. Turn-off rates fell sharply in response to improving grazing conditions, particularly over the two years through 2021-22. This, combined with strong demand for Australian beef overseas, drove saleyard prices to record levels. Nonetheless, prices have dropped from these record highs over the three years through 2024-25. Drier conditions in parts of the country and fears of a broader El Niño event saw turn-off rates surge and prices plummet in 2023-24. Revenue is expected to have fallen at an annualised 2.1% over the five years through 2024-25 to $23.1 billion. This includes an anticipated skyrocket of 29.8% in 2024-25 as cattle prices recover and turn-off rates rise. Beef cattle farmers have experienced varying weather conditions. For instance, floods caused significant damage to beef cattle farms in Queensland and New South Wales in 2021-22 and again in 2024-25. While the pandemic created volatility in domestic and overseas markets, its greatest impact was on supply constraints from herd rebuilding. A foot-and-mouth disease outbreak further reduced demand from Indonesia. However, the rising supply of cattle following successful herd rebuilding has reduced prices and helped bolster live feeder cattle exports. Industry profitability has fluctuated in line with cattle prices and costs for inputs like feed and fertiliser, jumping and plummeting from year to year to settle at above 2019-20 levels in 2024-25. Over the coming years, Australia’s numerous free trade agreements with neighbouring Asia-Pacific countries are set to support demand for beef and veal. The United Kingdom-Australia Free Trade Agreement, which came into force on 31 May 2023, will also provide an opportunity for beef cattle farmers to expand, with quota limits set to progressively rise over the coming years. Indonesia and Vietnam are set to remain the major destinations for live cattle exports, but competition from rival cattle-exporting nations like Brazil and Thailand will likely persist. Cattle prices are expected to rise, lifting industry revenue. However, turn-off rates are forecast to fluctuate but drop off over time as farmers look to restock, constraining revenue growth. Beef cattle farming revenue is projected to rise at an annualised 2.8% over the five years through 2029-30 to $26.5 billion as demand conditions in overseas markets recover and cattle prices rebound.

Background: Infected cattle sourced from districts with established foci for Trypanosoma brucei rhodesiense human African trypanosomiasis (rHAT) migrating to previously unaffected districts, have resulted in a significant expansion of the disease in Uganda. This study explores livestock movement data to describe cattle trade network topology and assess the effects of disease control interventions on the transmission of rHAT infectiousness.Methods: Network analysis was used to generate a cattle trade network with livestock data which was collected from cattle traders (n = 197) and validated using random graph methods. Additionally, the cattle trade network was combined with a susceptible, infected, recovered (SIR) compartmental model to simulate spread of rHAT (Ro 1.287), hence regarded as “slow” pathogen, and evaluate the effects of disease interventions.Results: The cattle trade network exhibited a low clustering coefficient (0.5) with most cattle markets being weakly connected and a few being highly connected. Also, analysis of the cattle movement data revealed a core group comprising of cattle markets from both eastern (rHAT endemic) and northwest regions (rHAT unaffected area). Presence of a core group may result in rHAT spread to unaffected districts and occurrence of super spreader cattle market or markets in case of an outbreak. The key cattle markets that may be targeted for routine rHAT surveillance and control included Namutumba, Soroti, and Molo, all of which were in southeast Uganda. Using effective trypanosomiasis such as integrated cattle injection with trypanocides and spraying can sufficiently slow the spread of rHAT in the network.Conclusion: Cattle trade network analysis indicated a pathway along which T. b. rhodesiense could spread northward from eastern Uganda. Targeted T. b. rhodesiense surveillance and control in eastern Uganda, through enhanced public–private partnerships, would serve to limit its spread.

Live animal markets are common hotspots for the dispersal of multiple infectious diseases in various production systems globally. In Cameroon livestock trade occurs predominantly via a system of livestock markets. Improving the understanding of the risks associated with livestock trade systems and markets is, therefore, key to design targeted and evidence-based interventions. In the current study, official transaction records for a 12-month period were collected from 62 livestock markets across Central and Southern Cameroon, in combination with a questionnaire-based survey with the livestock markets stakeholders. The available information collected at these markets was used to characterize their structural and functional organization. Based on trade volume, cattle price and the intensity of stakeholder attendance, four main classes of livestock markets were identified. Despite an evident hierarchical structure of the system, a relatively limited pool of infectious diseases was consistently reported as predominant across market classes, highlighting homogeneous disease risks along the livestock supply chain. Conversely, the variable livestock management practices reported (e.g., traded species, husbandry practices, and transhumance habits) highlighted diverse potential risks for disease dissemination among market classes. Making use of readily available commercial information at livestock markets, this study describes a rapid approach for market characterization and classification. Simultaneously, this study identifies primary diseases and management practices at risk and provides the opportunity to inform evidence-based and strategic communication, surveillance and control approaches aiming at mitigating these risks for diseases dissemination through the livestock supply chain in Cameroon.

Statistics illustrates consumption, production, prices, and trade of Cattle; live, pure-bred breeding animals in Asia from 2007 to 2024.

Get statistical data on Ontario live pig and cattle trade report from 2011-2014.

Al Awar Livestock Trading Est Company Export Import Records. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

The food and agricultural trade dataset is collected, processed and disseminated by FAO according to the standard International Merchandise Trade Statistics (IMTS) Methodology. The data is mainly provided by UNSD, Eurostat, and other national authorities as needed. This source data is checked for outliers, trade partner data is used for…