The beef cattle industry is driven by factors such as demand for meat, changes in consumer preferences, growth in population, and economic conditions. This article discusses how these factors influence the beef cattle stock market and emphasizes the importance of understanding the different segments of the industry for producers, buyers, and investors.

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.

The Global Livestock & Meat Market Report is Segmented by Livestock Activity (Live Animals Trade, Edible Meat, Meat Byproducts, and Livestock Products) and Geography (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa). The Report Offers Market Size and Forecast for the Livestock and Meat Market in Value (USD) and Volume (metric Tons) for all the Above Segments.

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.

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

Global Smart Livestock Farming market size 2025 was XX Million. Smart Livestock Farming Industry compound annual growth rate (CAGR) will be XX% from 2025 till 2033.

The Global Livestock Monitoring Market Report is Segmented by Animal Type (Cattle, Poultry, Equine, and Others), Component (Hardware, Software, and Services), Application (Feeding Management, Milk Harvesting, Breeding Management, and Others), and Geography (North America, Europe, Asia-Pacific, Middle-East and Africa, and South America). The Report Offers the Market Size in Value Terms (USD) for the Above Segments.

The AI In Livestock Farming Market is estimated to reach USD 2,997.9 Mn by 2033, Riding on a Strong 5.5% CAGR during the forecast period.

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.

Zoetis' (ZTS) Livestock-Focused Strategy Expected to Yield Positive Results, Analysts Predict.

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 Report Covers Livestock Monitoring Market and it is segmented by Animal Type (Cattle, Swine, Poultry, and Other Animals), Mode of Administration (Oral, Topical, and Others), and Geography (North America, Europe, Asia-Pacific, Middle East, and Africa, South America). The report offers the value (in USD million) for the above segments.

The livestock vaccine market is predicted to be valued at US$ 6.1 billion in 2024 and rise to US$ 11.2 billion by 2034. The market is expected to grow at a CAGR of 6.2% during the forecast period.

Attributes	Key Statistics
Live Stock Vaccine Market Value (2024)	US$ 6.1 billion
Anticipated Market Value (2034)	US$ 11.2 billion
Estimated Growth (2024 to 2034)	6.2 % CAGR

Category-wise Insights

Attributes	Details
Top Type	Inactivated
CAGR ( 2024 to 2034)	6.0%

Attributes	Details
Top Animal Type	Bovine
CAGR ( 2024 to 2034)	5.8%

Country-wise Insights

Countries	CAGR (2024 to 2034)
South Korea	8.0%
Japan	7.9%
United Kingdom	7.4%
China	6.8%
United States	6.4%

This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

The Cattle Healthcare Market report segments the industry into By Product Type (By Therapeutics, By Diagnostics) and By Geography (North America, Europe, Asia-Pacific, Middle East and Africa, South America). This report provides historical data and forecasts for key market trends.

Prices for United States Stock Market Index (US1000) including live quotes, historical charts and news. United States Stock Market Index (US1000) was last updated by Trading Economics this July 14 of 2025.

Oil prices have a direct impact on the stock market, and tracking live oil prices can provide valuable information for investors. Learn how oil prices affect energy and transportation sectors, inflationary pressure, and global economic growth. Monitoring live oil prices is crucial for informed decisions.

Learn about the live stock market for crude oil, including its significance in the global economy, factors that influence crude oil prices, and different types of contracts available for investors. Discover how geopolitical events, global demand, inventories, and production levels impact the market, and how traders can profit or manage risks.

Explore Market Research Intellect's Smart Livestock Market Report, valued at USD 5.2 billion in 2024, with a projected market growth to USD 12.7 billion by 2033, and a CAGR of 10.5% from 2026 to 2033.

The global livestock insurance market size reached USD 3.8 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 6.8 Billion by 2033, exhibiting a growth rate (CAGR) of 6.65% during 2025-2033. The increasing prevalence of various disease outbreaks, rising consumer preferences towards animal-based products, and the growing awareness about the health and well being of animals are some of the major factors propelling the market growth.

Report Attribute	Key Statistics
Base Year	2024
Forecast Years	2025-2033
Historical Years	2019-2024
Market Size in 2024	USD 3.8 Billion
Market Forecast in 2033	USD 6.8 Billion
Market Growth Rate 2025-2033	6.65%

IMARC Group provides an analysis of the key trends in each segment of the global livestock insurance market report, along with forecasts at the global, regional and country levels from 2025-2033. Our report has categorized the market based on coverage, animal type, and distribution channel.

This dataset offers both live (delayed) prices and End Of Day time series on equity options

1/ Live (delayed) prices for options on European stocks and indices including: Reference spot price, bid/ask screen price, fair value price (based on surface calibration), implicit volatility, forward Greeks : delta, vega Canari.dev computes AI-generated forecast signals indicating which option is over/underpriced, based on the holders strategy (buy and hold until maturity, 1 hour to 2 days holding horizon...). From these signals is derived a "Canari price" which is also available in this live tables.
Visit our website (canari.dev ) for more details about our forecast signals.

The delay ranges from 15 to 40 minutes depending on underlyings.

2/ Historical time series: Implied vol Realized vol Smile Forward
See a full API presentation here : https://youtu.be/qitPO-SFmY4 .

These data are also readily accessible in Excel thanks the provided Add-in available on Github: https://github.com/canari-dev/Excel-macro-to-consume-Canari-API

If you need help, contact us at: contact@canari.dev

User Guide: You can get a preview of the API by typing "data.canari.dev" in your web browser. This will show you a free version of this API with limited data.

Here are examples of possible syntaxes:

For live options prices: data.canari.dev/OPT/DAI data.canari.dev/OPT/OESX/0923 The "csv" suffix to get a csv rather than html formating, for example: data.canari.dev/OPT/DB1/1223/csv For historical parameters: Implied vol : data.canari.dev/IV/BMW

data.canari.dev/IV/ALV/1224

data.canari.dev/IV/DTE/1224/csv

Realized vol (intraday, maturity expressed as EWM, span in business days): data.canari.dev/RV/IFX ... Implied dividend flow: data.canari.dev/DIV/IBE ... Smile (vol spread between ATM strike and 90% strike, normalized to 1Y with factor 1/√T): data.canari.dev/SMI/DTE ... Forward: data.canari.dev/FWD/BNP ...

List of available underlyings: Code Name OESX Eurostoxx50 ODAX DAX OSMI SMI (Swiss index) OESB Eurostoxx Banks OVS2 VSTOXX ITK AB Inbev ABBN ABB ASM ASML ADS Adidas AIR Air Liquide EAD Airbus ALV Allianz AXA Axa BAS BASF BBVD BBVA BMW BMW BNP BNP BAY Bayer DBK Deutsche Bank DB1 Deutsche Boerse DPW Deutsche Post DTE Deutsche Telekom EOA E.ON ENL5 Enel INN ING IBE Iberdrola IFX Infineon IES5 Intesa Sanpaolo PPX Kering LOR L Oreal MOH LVMH LIN Linde DAI Mercedes-Benz MUV2 Munich Re NESN Nestle NOVN Novartis PHI1 Philips REP Repsol ROG Roche SAP SAP SNW Sanofi BSD2 Santander SND Schneider SIE Siemens SGE Société Générale SREN Swiss Re TNE5 Telefonica TOTB TotalEnergies UBSN UBS CRI5 Unicredito SQU Vinci VO3 Volkswagen ANN Vonovia ZURN Zurich Insurance Group