Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Orange Juice fell to 278.28 USd/Lbs on June 9, 2025, down 2.34% from the previous day. Over the past month, Orange Juice's price has risen 19.54%, but it is still 35.19% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Orange Juice - values, historical data, forecasts and news - updated on June of 2025.
https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html
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
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Exports of Mfc Prds - Orange Juice in Brazil increased to 51.45 USD Million in December from 36.29 USD Million in November of 2021. This dataset includes a chart with historical data for Brazil Exports of : Mfc Prds - Orange Juice.
https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html
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
https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html
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
Cold Pressed Juices Market Size 2025-2029
The cold pressed juices market size is forecast to increase by USD 525.1 million at a CAGR of 6.6% between 2024 and 2029.
The cold-pressed juices market is experiencing significant growth due to several key trends. The expansion of organized retailing is driving market growth as more consumers prefer buying cold-pressed juices from supermarkets and specialized stores. Innovations in juice flavors continue to attract health-conscious consumers, leading to increased demand. Unlike traditional fruit juices that undergo high-temperature pasteurization and may contain chemical additives, cold pressed juices are extracted using slow pressure juicers, preserving the natural vitamins and minerals found in fruits and vegetables. However, the short shelf life of cold-pressed juices poses a challenge to manufacturers, requiring them to develop effective preservation methods or partner with retailers with strong supply chain management systems. These trends and challenges shape the dynamic landscape of the cold-pressed juices market.
What will be the Size of the Cold Pressed Juices Market During the Forecast Period?
Request Free Sample
The market is experiencing significant growth due to the increasing preference for healthier beverage options among consumers. This trend is driven by health-conscious consumers seeking to incorporate more nutrients into their diets, as well as those following detoxification programs or veganism. Moreover, cold pressed juices are available in various blends of fruits, vegetables, and sometimes herbs, and can be found in supermarkets, hypermarkets, convenience stores, online stores, and even some specialty health food stores. The hydraulic press used in cold pressing extracts juice without the need for added sugar or preservatives, making it an attractive alternative to sugary beverages.
Dietitians also recommend juices for their nutritional benefits, which can help combat obesity, kidney illness, and cardiovascular disease. The market is expected to continue growing as consumers become more aware of the health benefits of cold pressed juices and seek out convenient and accessible options.
How is this Cold Pressed Juices Industry segmented and which is the largest segment?
The cold pressed juices industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.
Product
Conventional
Organic
Type
Fruit and vegetable blend juices
Fruit juices
Vegetable juices
Geography
North America
Canada
US
Europe
Germany
UK
France
APAC
China
India
Japan
South Korea
South America
Brazil
Middle East and Africa
By Product Insights
The conventional segment is estimated to witness significant growth during the forecast period.
The market encompasses conventional and organic offerings, with the former category featuring juices made from traditional fruits and vegetables without organic certification or chemical additive exclusion. These affordably priced juices cater to a broad consumer base seeking healthier beverage choices. Supermarkets, juice bars, and online platforms stock conventional cold pressed juices, emphasizing mass-market accessibility. The method's benefits, such as nutrient and enzyme preservation, have fueled market growth, attracting both health-conscious consumers and those not specifically seeking organic or specialized alternatives. Cold pressed juices offer vitamins, minerals, and antioxidants, addressing chronic health issues like obesity, kidney disorders, and cardiovascular disease. PET bottles and glass bottles serve as common packaging materials, while retail channels include hypermarkets and convenience stores. Cold-pressed juices come in various blends, including fruit, vegetable, and leafy vegetable, catering to diverse tastes and dietary needs.
Moreover, consumers can opt for super vegetable juices, super-green vegetables, fruit-based green, root juices, and beverages, among others. While some conventional juices may contain added sugar, flavoring agents, preservatives, and synthetic pesticides, many consumers prioritize organic options for added health benefits. Cold pressed juices can contribute to improved immunity, gut health, skin glow, and overall nutritional content. Cold-pressed juice shots, such as Wheatgrass Juice, Broccoli Shot, and Sprouted Broccoli Juice, offer concentrated nutrient doses. High-pressure processing techniques ensure product safety while maintaining nutrient integrity. Cold pressed juices can be incorporated into a healthy diet and lifestyle, contributing to weight loss, heart health, and diabetes risk reduction.
Get a glance at the Cold Pressed Juices Ind
Not seeing a result you expected?
Learn how you can add new datasets to our index.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Orange Juice fell to 278.28 USd/Lbs on June 9, 2025, down 2.34% from the previous day. Over the past month, Orange Juice's price has risen 19.54%, but it is still 35.19% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Orange Juice - values, historical data, forecasts and news - updated on June of 2025.