Eggs US rose to 2.89 USD/Dozen on July 15, 2025, up 4.43% from the previous day. Over the past month, Eggs US's price has risen 7.61%, and is up 23.87% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for Eggs US.

Enero stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

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.

Cal-Maine (CALM) Stock: Cracking the Egg Market

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

Eggs CH rose to 3,456 CNY/T on July 14, 2025, up 0.17% from the previous day. Over the past month, Eggs CH's price has risen 19.71%, but it is still 23.69% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for Eggs CH.

In 2024, conventional eggs held almost ************** of the U.S. egg market, in terms of production type. Cage-free eggs had the next largest share of the egg market, at about **** percent. Pasture raised eggs made up only about *** percent of the U.S. market.

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.

Tyson Foods (TSN) - Chicken or the Egg?

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

Stocks of frozen eggs and edible dried eggs, Canada (in tonnes). Data are available on a monthly basis.

United States Egg & Egg Product Supply and Disappearance: Ending Stocks data was reported at 14.218 Dozen mn in Dec 2024. This records a decrease from the previous number of 19.297 Dozen mn for Sep 2024. United States Egg & Egg Product Supply and Disappearance: Ending Stocks data is updated quarterly, averaging 15.835 Dozen mn from Mar 1990 (Median) to Dec 2024, with 140 observations. The data reached an all-time high of 32.452 Dozen mn in Mar 2017 and a record low of 6.222 Dozen mn in Sep 1998. United States Egg & Egg Product Supply and Disappearance: Ending Stocks data remains active status in CEIC and is reported by Economic Research Service. The data is categorized under Global Database’s United States – Table US.RI047: Egg and Egg Product Supply and Disappearance.

Enero reported AUD129.34M in Current Assets for its fiscal semester ending in December of 2024. Data for Enero | EGG - Current Assets including historical, tables and charts were last updated by Trading Economics this last July in 2025.

United States Egg & Egg Product Supply and Disappearance: Annual: Beginning Stocks data was reported at 23.099 Dozen mn in 2024. This records an increase from the previous number of 18.771 Dozen mn for 2023. United States Egg & Egg Product Supply and Disappearance: Annual: Beginning Stocks data is updated yearly, averaging 14.916 Dozen mn from Dec 1990 (Median) to 2024, with 35 observations. The data reached an all-time high of 31.700 Dozen mn in 2016 and a record low of 7.402 Dozen mn in 1998. United States Egg & Egg Product Supply and Disappearance: Annual: Beginning Stocks data remains active status in CEIC and is reported by Economic Research Service. The data is categorized under Global Database’s United States – Table US.RI047: Egg and Egg Product Supply and Disappearance.

Enero reported AUD117.05M in Current Liabilities for its fiscal semester ending in December of 2024. Data for Enero | EGG - Current Liabilities including historical, tables and charts were last updated by Trading Economics this last July in 2025.

Here are a few use cases for this project:

1. Poultry Farm Management: The model can be used by poultry farmers to automate the process of counting the number of eggs produced each day. This will help improve accuracy and reduce time consumption, improving overall productivity.

2. Supermarket Inventory Management: Retail businesses can use the model to monitor egg stocks, helping to ensure they always have enough products available for customers, and also help with efficient restocking plans.

3. Egg Production Quality Control: In egg production factories, this model could help detect eggs on the conveyor belt, assisting in the identification of any broken or defective eggs which need to be removed from the production line.

4. Ecological Studies: The model can be used by ecologists to count the number of eggs in bird nests or other wildlife species, which can provide valuable data for ecological research and conservation efforts.

5. Culinary Industry: Restaurants or large-scale catering services can use this model to maintain accurate counts of eggs used in their kitchen, aiding in precise portion control and cost management.

United States Long Term Projections: Egg: Ending Stocks data was reported at 24.000 Dozen mn in 2034. This stayed constant from the previous number of 24.000 Dozen mn for 2033. United States Long Term Projections: Egg: Ending Stocks data is updated yearly, averaging 23.099 Dozen mn from Dec 2022 (Median) to 2034, with 13 observations. The data reached an all-time high of 24.000 Dozen mn in 2034 and a record low of 19.000 Dozen mn in 2022. United States Long Term Projections: Egg: Ending Stocks data remains active status in CEIC and is reported by U.S. Department of Agriculture. The data is categorized under Global Database’s United States – Table US.RI052: Agricultural Projections: Egg.

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.

Cal-Maine (CALM) Eggs-ceptional Growth Potential

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

In 2023, there were over 5.3 billion chickens living in China, a higher amount than any other country in the world. Indonesia came in second with approximately 5.21 billion chickens. Egg production As the country with the highest chicken population, China was the leading producer of eggs worldwide. In 2022, some 584 billion eggs were produced in China, an amount almost five times greater than the runner up, Indonesia. Industrially raised chickens tend to fall into two categories: egg laying hens and broiler chickens, which are produced for meat. Egg retail in the United States When Americans buy eggs at the grocery store, the vast majority will pick up a carton of private label eggs opposed to eggs from any particular name brand. In 2023, the leading name brand of fresh eggs in the United States was Eggland’s Best, which generated about 274.6 million U.S. dollars in sales. In comparison, sales of private label eggs amounted to over 1.2 billion U.S. dollars in that year.

Russia Egg Product Inventories: Stocks: Year Beginning data was reported at 1,300.000 Unit mn in 2017. This records an increase from the previous number of 1,146.000 Unit mn for 2016. Russia Egg Product Inventories: Stocks: Year Beginning data is updated yearly, averaging 1,039.000 Unit mn from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 1,516.000 Unit mn in 1990 and a record low of 670.000 Unit mn in 2004. Russia Egg Product Inventories: Stocks: Year Beginning data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Agriculture Sector – Table RU.RIG014: Egg Product Inventories and Usage.

Dramatic and persistent reductions in Atlantic cod (Gadus morhua) are common in many coastal areas. While offshore cod stocks still were abundant and productive, the Swedish west coast showed signs of diminishing adult cod abundance at the beginning of the 1980s, where the local cod component was considered to be extirpated. To survey the present cod spawning activity and stock composition, we initiated egg trawling over two consecutive years (203 hauls in total) in combination with population genetic analyses (425 individually genotyped eggs). Here, we provide evidence of cod spawning at the Swedish Skagerrak coast, suggesting recolonization or that local cod has recovered from a nearly depleted state. Early stage eggs were found inside fjords too far to have been transported by oceanic drift from offshore spawning areas. The cod eggs were genetically similar in early to late life-stages and cluster mainly with the local adult cod, indicating that eggs and adults belong to the same genetic unit. The cod eggs were genetically differentiated from adult North Sea cod, and, to a lesser degree, also from the Kattegat and Öresund cod, i.e. indicating a possible recovery of local coastal stock. The patterns of the genetic structure in the inshore areas are, however, difficult to fully disentangle, as Atlantic cod in the North Sea-Skagerrak area seem to be a mixture of co-existing forms: local cod completing their entire life cycle in fjords and sheltered areas, and oceanic populations showing homing behaviours. The egg abundances are considerably lower compared with what is found in similar studies along the Norwegian Skagerrak coast. Nevertheless, the discovery of locally spawning cod along the Swedish west coast—although at low biomasses—is an encouraging finding that highlights the needs for endurance in protective measures and of detailed surveys to secure intraspecific biodiversity and ecosystem services.

Russia Egg Product Inventories: Stocks: Year End data was reported at 1,300.000 Unit mn in 2017. This records a decrease from the previous number of 1,317.000 Unit mn for 2016. Russia Egg Product Inventories: Stocks: Year End data is updated yearly, averaging 1,039.000 Unit mn from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 1,474.000 Unit mn in 1991 and a record low of 670.000 Unit mn in 2003. Russia Egg Product Inventories: Stocks: Year End data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Agriculture Sector – Table RU.RIG014: Egg Product Inventories and Usage.

Mackerel Eggs Abundance Assessment: The aim of the international Mackerel and horse mackerel egg survey program is to estimate the spawning stock biomass (the total weight of all sexually mature fish in the population) of the North-east Atlantic mackerel and horse mackerel stocks. This data will feed into the stock assessment as fisheries independent information. In addition, the data provides important information on the timing and location of spawning for mackerel and horse mackerel. The survey has been running since 1977, taking place every three years, and therefore provides important information about the distribution and timing of spawning in relation to climate change. The Marine Institute participates in this programme and covers stations in the Celtic Sea. During this survey, plankton samples were collected at 112 stations, 11 fishing hauls were made to collect mackerel and horse mackerel samples for fecundity analysis. Samples were collected to ensure maximum temporal and geographical spread. CTDs (Conductivity-Temperature-Depth) were also carried out for the Oceanography section of the Marine Institute. This survey was conducted in the Celtic Sea and Southwest of Ireland, from 48N to 52.25N, and from 5W to 16W. This covered ICES areas VIIg, VIIh, VIIj and VIIk in march 2007 on board the R.V. Celtic Explorer. Fisheries survey into the abundance and distribution of Mackerel and Horse Mackerel.

Data is primarily volume of eggs (naturally spawned and stripped) taken from different photo-thermal held brood stock groups of Striped Trumpeter (Latris lineata). Supporting data includes feeding, animal health and weight and environmental parameters (water quality).