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BOX reported $4.75B in Market Capitalization this July of 2025, considering the latest stock price and the number of outstanding shares.Data for BOX - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last July in 2025.
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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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Russia's main stock market index, the MOEX, rose to 2823 points on July 3, 2025, gaining 0.29% from the previous session. Over the past month, the index has declined 0.47% and is down 9.85% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Russia. Russia Stock Market Index MOEX CFD - values, historical data, forecasts and news - updated on July of 2025.
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Jordan's main stock market index, the ASE, rose to 2818 points on July 3, 2025, gaining 0.38% from the previous session. Over the past month, the index has climbed 5.47% and is up 17.13% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Jordan. Jordan Stock Market (ASE General) - values, historical data, forecasts and news - updated on July 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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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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The Set-top Box Market is segmented by Technology (Satellite/DTH, IPTV, Cable), Resolution (SD, HD, Ultra HD, and Higher), and Geography. The Smart Television Market is segmented by Resolution (HD/FHD, 4K, 8K), Display Size (Greater than or equal to 32, 39-43, 48-50, 55-60, 65 and above), Technology (LCD, OLED, QLED), and Geography.
Access real-time and historical US equity options data included as part of Databento's OPRA data feed. BOX is an electronic trading exchange that holds a price-time priority model, with the exception of certain options classes using a pro rata priority model. BOX is the first options market to offer a Price Improvement Period which allows investors the potential for price improvements through an electronic auction process.
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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
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Hong Kong's main stock market index, the HK50, fell to 23961 points on July 3, 2025, losing 1.08% from the previous session. Over the past month, the index has climbed 1.30% and is up 32.91% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Hong Kong. Hong Kong Stock Market Index (HK50) - values, historical data, forecasts and news - updated on July of 2025.
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Vendor Performance
Category | Market Share (%) |
---|---|
Top 3 (Placon, 3M, Ted Pella) | 15% |
Rest of Top 5 (GilPak, SST International) | 12% |
Next 5 of Top 10 (Teca-Print, SPI Supplies, Gel-Pak, Maxtech, QSi) | 7% |
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Industry interest in efficient, sustainable, and cost-effective packaging solutions provides solid growth to the steady bag-in-box market. Top leaders such as Smurfit Kappa, DS Smith, and Liquibox head innovation with durable, recyclable, and versatile bag-in-box solutions. The market is likely to grow at 5.6% CAGR and reach USD 6.7 billion by 2035.
Attribute | Details |
---|---|
Projected Value by 2035 | USD 6.7 Billion |
CAGR during the period 2025 to 2035 | 5.6% |
Vendor Performance
Category | Market Share (%) |
---|---|
Top 3 Players (Smurfit Kappa, DS Smith, Liquibox) | 12% |
Rest of Top 5 Players | 9% |
Next 5 of Top 10 Players | 7% |
Player Tier | Industry Share (%) |
---|---|
Top 10 Players | 28% |
Next 20 Players | 47% |
Remaining Players | 25% |
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United Kingdom's main stock market index, the GB100, rose to 8823 points on July 3, 2025, gaining 0.55% from the previous session. Over the past month, the index has climbed 0.25% and is up 7.06% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from United Kingdom. United Kingdom Stock Market Index (GB100) - values, historical data, forecasts and news - updated on July of 2025.
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The transport cases and boxes market is estimated to grow at a compound annual growth rate (CAGR) of 3.5% with a projection of USD 2.57 billion by 2035. Some of the key drivers include advancements in material technologies, increasing e-commerce penetration, and the need for protective packaging to safeguard valuable and fragile goods.
Attribute | Details |
---|---|
Projected Value by 2035 | USD 2.57 billion |
CAGR during the period 2025 to 2035 | 3.5% |
Global Market Share & Industry Share (%)
Category | Market Share (%) |
---|---|
Top 3 Players (Pelican Products, SKB Cases, Zarges) | 14% |
Rest of Top 5 Players | 08% |
Next 5 of Top 10 Players | 07% |
Type of Player | Market Share (%) |
---|---|
Top 10 Players | 29% |
Next 20 Players | 47% |
Remaining Players | 24% |
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Key information about Malawi All Shares (MASI)
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The global sticky gel carrier boxes market size is expected to reach $383.9 million by 2033, expanding at a CAGR of 4.2% from 2025 to 2033. The increasing demand for semiconductor, jewelry, and medical applications is driving the market growth. Sticky gel carrier boxes are designed to securely hold and protect sensitive items during transportation and storage, making them essential for various industries. The market is segmented by type (55mm x 56mm, 75mm x 56mm, and others), application (semiconductor, jewelry, medical, and others), and region (North America, Europe, Asia Pacific, Central & South America, and the Middle East & Africa). North America held the largest market share in 2025, owing to the presence of major semiconductor and medical device manufacturers. Asia Pacific is expected to witness the highest growth due to the rapidly expanding electronics industry in the region. Key players in the market include MSE Supplies LLC, MicrotoNano, MTI, Hiner-pack, and PI-KEM. The Sticky Gel Carrier Boxes Market is expected to reach US$ XX million by 2028, with a CAGR of XX% during the forecast period. The market is driven by the growing demand for sticky gel carrier boxes in various industries, such as semiconductor, jewelry, medical, and others.
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The Custom Cosmetic Packaging Boxes market has emerged as a vital segment within the beauty and personal care industry, reflecting the growing demand for personalized and aesthetically pleasing packaging solutions. These boxes serve as more than just a protective layer for cosmetic products; they are essential marke
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The corrugated bin box industry is expanding at a rapid pace with increasing demand for green and durable storage and packaging. The e-commerce, retail, manufacturing, and logistics industries utilize the boxes to manage inventory and protect products.
Vendor Performance
Category | Market Share (%) |
Top 3 (International Paper, WestRock, Smurfit Kappa) | 18% |
Rest of Top 5 (DS Smith, Georgia-Pacific) | 10% |
Next 5 of Top 10 (Pratt Industries, Mondi, Nine Dragons, etc.) | 7% |
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The Corrugated And Paperboard Boxes Market report segments the industry into By Product (Corrugated And Solid Fiber Boxes, Folding Paperboard Boxes, Set-up Paperboard Boxes, Other Products), By End-user Industry (Food And Beverage, Durable Goods, Paper & Publishing, Chemicals, Other End-user Industries), and By Geography (North America, Europe, Asia, Australia And New Zealand, Latin America, Middle East And Africa).
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Cake Box stock may experience short-term volatility, potentially driven by factors like supply chain disruptions and consumer spending patterns. However, the company's strong brand presence and commitment to innovation suggest a positive long-term outlook, with potential for gradual revenue and earnings growth. Investors should be aware of the risks associated with the competitive bakery industry and consider these factors when making investment decisions.
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License information was derived automatically
BOX reported $4.75B in Market Capitalization this July of 2025, considering the latest stock price and the number of outstanding shares.Data for BOX - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last July in 2025.