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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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License information was derived automatically
Poultry fell to 7.40 BRL/Kgs on August 15, 2025, down 0.80% from the previous day. Over the past month, Poultry's price has risen 1.65%, but it is still 0.40% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Poultry - 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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License information was derived automatically
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.
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License information was derived automatically
The U.S. meat and poultry market rose markedly to $179.4B in 2024, surging by 7.6% against the previous year. The market value increased at an average annual rate of +3.2% over the period from 2012 to 2024; the trend pattern indicated some noticeable fluctuations being recorded throughout the analyzed period. Over the period under review, the market reached the maximum level in 2024 and is expected to retain growth in the near future.
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The Europe Poultry Meat Market is segmented by Form (Canned, Fresh / Chilled, Frozen, Processed), by Distribution Channel (Off-Trade, On-Trade) and by Country (France, Germany, Italy, Netherlands, Russia, Spain, United Kingdom). Market value in USD and market volume in tonnes are presented. Key data points observed include production and price.
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The United States Poultry Meat Market is segmented by Form (Canned, Fresh / Chilled, Frozen, Processed) and by Distribution Channel (Off-Trade, On-Trade). Market value in USD and market volume in tonnes are presented. Key data points observed include production and price.
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European Poultry Meat Market Size Value Share by Country (Euros), 2023 Discover more data with ReportLinker!
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The Asian meat and poultry market reached $706.9B in 2024, picking up by 1.9% against the previous year. The market value increased at an average annual rate of +2.0% over the period from 2012 to 2024; the trend pattern indicated some noticeable fluctuations being recorded in certain years. The level of consumption peaked at $748.6B in 2022; however, from 2023 to 2024, consumption stood at a somewhat lower figure.
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Worldwide sales of global mechanically separated poultry are projected to reach US$ 160.4 million in 2024. The global market for mechanically separated poultry is forecasted to expand at 4.8% CAGR and reach a value of US$ 255.9 million by the end of 2034.
Report Attributes | Details |
---|---|
Mechanically Separated Poultry Market Size (2024E) | US$ 160.4 Million |
Forecasted Market Value (2034F) | US$ 255.9 Million |
Global Market Growth Rate (2024 to 2034) | 4.8% CAGR |
East Asia Market Share (2024E) | 24.4% |
North America Market Value (2024E) | US$ 53 Million |
Frozen Meat Segment Market Value (2034F) | US$ 143 Million |
Families Segment Market Value (2034F) | US$ 132 Million |
Key Companies Profiled | Belwood Foods; Tyson Foods, Inc.; Damaco Group; Elfering Export GmbH; DL Foods Ltd.; Wm Morrison; Polskamp Meat Industrie; Favid; Smithfield Foods; Trinity GMBH; Krak-Tol Meat Deboning Plant; J.A. ter Maten B.V.; Terranova foods; Valmeat; DTS Meat Processing NV |
Country-wise Insights
Attribute | United States |
---|---|
Market Value (2024E) | US$ 24.7 Million |
Growth Rate (2024 to 2034) | 4.2% CAGR |
Projected Value (2034F) | US$ 37.4 Million |
Attribute | China |
---|---|
Market Value (2024E) | US$ 29.4 Million |
Growth Rate (2024 to 2034) | 5.3% CAGR |
Projected Value (2034F) | US$ 49.3 Million |
Category-wise Insights
Attribute | Frozen |
---|---|
Segment Value (2024E) | US$ 91 Million |
Growth Rate (2024 to 2034) | 4.6% CAGR |
Projected Value (2034F) | US$ 143 Million |
Attribute | Families |
---|---|
Segment Value (2024E) | US$ 84 Million |
Growth Rate (2024 to 2034) | 4.6% CAGR |
Projected Value (2034F) | US$ 132 Million |
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The Bangladeshi meat and poultry market dropped slightly to $2.6B in 2024, stabilizing at the previous year. Overall, consumption showed a relatively flat trend pattern. As a result, consumption attained the peak level of $2.7B. From 2023 to 2024, the growth of the market remained at a lower figure.
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European Meat and Poultry Meat Products Market Size Value Share by Country (Euros), 2023 Discover more data with ReportLinker!
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European Frozen Poultry Meat Market Size Value Share by Country (Euros), 2023 Discover more data with ReportLinker!
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The United Kingdom Poultry Meat Market is segmented by Form (Canned, Fresh / Chilled, Frozen, Processed) and by Distribution Channel (Off-Trade, On-Trade). Market value in USD and market volume in tonnes are presented. Key data points observed include production and price.
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The global raw chicken meat market is a substantial and dynamic sector, exhibiting consistent growth driven by several key factors. Rising global population and increasing per capita meat consumption, particularly in developing economies, are primary drivers. The affordability of chicken compared to other protein sources makes it a staple in many diets, further fueling market expansion. Changing consumer preferences towards healthier and convenient food options are also impacting the market, with demand for processed chicken products and value-added offerings like pre-marinated cuts steadily increasing. Technological advancements in poultry farming, such as improved breeding techniques and automated processing, are contributing to enhanced efficiency and lower production costs. However, the market faces challenges such as fluctuations in feed prices, outbreaks of avian influenza, and increasing regulatory scrutiny regarding animal welfare and food safety. These factors can cause temporary disruptions but are unlikely to significantly hinder the long-term growth trajectory. Furthermore, the market is segmented by various factors, including geographical location, processing methods, and distribution channels. Major players like JBS, Tyson Foods, and Cargill dominate the global landscape, often through vertical integration controlling various stages of the production process. Competition is fierce, with companies focusing on innovation, branding, and supply chain optimization to maintain market share. Regional variations exist, with North America and Asia currently representing significant portions of the market. However, regions with growing middle classes and rising incomes, such as parts of Africa and Latin America, are projected to experience rapid growth in chicken consumption in the coming years. This presents substantial opportunities for expansion and investment within the raw chicken meat industry. The overall forecast for the market remains positive, indicating substantial future growth potential.
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The GCC Poultry Meat Market is segmented by Form (Canned, Fresh / Chilled, Frozen, Processed), by Distribution Channel (Off-Trade, On-Trade) and by Country (Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, United Arab Emirates). Market value in USD and market volume in tonnes are presented. Key data points observed include production and price.
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The Turkey Poultry Market Report is Segmented by Product Type (Table Eggs, Broiler Meat, and Processed Meat); by Nature (Conventional and Organic); by Species (Chicken, Turkey, Duck, and Others); and by Distribution Channel (Foodservice and Retail). The Market Forecasts are Provided in Terms of Value (USD).
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The Saudi Arabia Poultry Meat Market is segmented by Form (Canned, Fresh / Chilled, Frozen, Processed) and by Distribution Channel (Off-Trade, On-Trade). Market value in USD and market volume in tonnes are presented. Key data points observed include production and price.
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European Meat and Poultry Meat Products Production Value Share by Country (Million Euros), 2023 Discover more data with ReportLinker!
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The global broiler farming market is a substantial and dynamic industry, projected to experience significant growth over the coming years. While precise figures for market size and CAGR aren't provided, industry reports suggest a market valued in the tens of billions of dollars globally in 2025, with a Compound Annual Growth Rate (CAGR) likely ranging between 3% and 5% from 2025 to 2033. This growth is fueled by several key drivers, including rising global population and increasing demand for affordable protein sources. Developing economies, particularly in Asia and Africa, are experiencing particularly robust growth in broiler consumption, driven by rising disposable incomes and urbanization. Consumer preference for convenient and readily available protein sources further boosts demand. However, the industry faces challenges including fluctuating feed prices, disease outbreaks impacting poultry health, and increasing concerns regarding the environmental sustainability of intensive farming practices. These factors require innovative solutions such as improved feed efficiency, disease management strategies, and adoption of sustainable farming practices. The competitive landscape is characterized by a mix of large multinational corporations like JBS, Tyson Foods, Cargill, and BRF S.A., alongside significant regional players and smaller producers. These companies are continually seeking to improve efficiency, expand market share, and diversify their product offerings. Strategic alliances, mergers and acquisitions, and technological advancements in areas such as genetics and automation are shaping industry dynamics. Regional variations in consumption patterns, regulatory environments, and production costs significantly impact market performance. North America and Europe are expected to maintain their positions as major market players, but Asia and Latin America present the most significant growth potential due to increasing consumer demand and expanding production capacity. Future growth will depend on effectively managing challenges related to sustainability, disease control, and maintaining profitability in a volatile economic environment.
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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