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The Global Rolling Stock Market is expected to demonstrate a CAGR of approximately 4.13% during the period 2023-2028, as stated by MarkNtel Advisors.
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The main stock market index in the United States (US500) decreased 208 points or 3.53% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks this benchmark index from United States. United States Stock Market Index - values, historical data, forecasts and news - updated on March of 2025.
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Ten years of daily data for the Dow Jones Industrial Average (DJIA) market index. Each point of the dataset is represented by the daily closing price for the DJIA. Historical data can be downloaded via the red button on the upper right corner of the chart.
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The main stock market index in the United States (US500) decreased 193 points or 3.28% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks this benchmark index from United States. United States Stock Market Index - values, historical data, forecasts and news - updated on March of 2025.
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The main stock market index in Japan (JP225) decreased 2147 points or 5.38% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks this benchmark index from Japan. Japan Stock Market Index (JP225) - values, historical data, forecasts and news - updated on March of 2025.
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The North America Rolling Stock Market would witness market growth of 4.7% CAGR during the forecast period (2023-2030). The exploration of autonomous and semi-autonomous train technologies is gaining momentum. Advanced control systems, artificial intelligence, and automation are implemented to enh
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The main stock market index in Sweden (Stockholm) increased 140 points or 5.65% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks this benchmark index from Sweden. Sweden Stock Market Index - values, historical data, forecasts and news - updated on March 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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The Rolling Stock Market is segmented into various product categories, including locomotives, rapid transit, and wagons. Locomotives account for the largest market share due to their central role in providing motive power to trains. Rapid transit systems, such as metros and light rail vehicles, are also gaining popularity in urban areas, driven by the need for efficient and environmentally friendly transportation options. Wagons, which serve as the primary means of transporting freight, are expected to witness steady growth due to the increasing demand for efficient cargo transportation. Recent developments include: In February 2023, Stadler Rail AG joined forces with ASPIRE Engineering Research Centre and Utah State University in order to build a battery-driven passenger train around the concept of FLIRT Akku. The project encompasses the development, manufacture, and testing of a two-car multi-unit that runs on batteries under the brand name FLIRT Akku., Stadler Rail AG announced it had acquired BBR Verkehrstechnik GmbH (BBR), a rail company, and its group businesses in February 2023 to strengthen its internal know-how in the fields of digitization and signaling technology., Alstom SA is setting up a new factory for railway electrification in Valmadrera (Lecco, Italy) by March 2023. It will produce power transmission components for rail, metro, or tram lines., Siemens Mobility has entered into an agreement with Indian Railways under which Siemens India received an order for 9,000-hp locomotives from Indian Railways totaling 1,200 units – the largest ever single order placed with Siemens Mobility and Siemens India in their history. Siemens Mobility will design, develop, assemble, and test these trains for over a period of thirty-five years from delivery, and they shall also render full-service maintenance., In November 2022, Siemens Mobility unveiled plans to build a train bogies factory in Aurangabad, India, capable of delivering more than one export consignment exceeding two hundred bogies at once. These rail bogies were made by Siemens using the SF30 Combino Plus global design idea., In December 2022, HS2 awarded contracts to a joint venture comprising Hitachi Rail and Alstom (HAH-S) for the development, manufacture, and maintenance of high-speed rolling stock for Phase 1.. Notable trends are: Data analytics and advanced maintenance usage are fueling market growth.
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The main stock market index in Russia (MOEX) increased 264 points or 9.16% since the beginning of 2025, 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 March 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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Stock market return (%, year-on-year) in Turkey was reported at 33.24 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Turkey - Stock market return (%, year-on-year) - actual values, historical data, forecasts and projections were sourced from the World Bank on March 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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The railway rolling stock market is all set to grow to US$ 6.43 billion by 2034 from US$ 3.87 billion in 2024, registering a moderate CAGR of 5.20% between 2024 and 2034. Investments in the railway infrastructure and adoption of advanced digital solutions advance the railway rolling stock market forward.
Attributes | Details |
---|---|
Railway Rolling Stock Market Value for 2024 | US$ 3.87 billion |
Railway Rolling Stock Market Value for 2034 | US$ 6.43 billion |
Railway Rolling Stock Market Forecast CAGR for 2024 to 2034 | 5.20% |
Historical Performance and Future Growth of the Railway Rolling Stock Market
Attributes | Details |
---|---|
Railway Rolling Stock Market Historical CAGR for 2019 to 2023 | 1.90% |
Category-wise Insights
Attributes | Details |
---|---|
Top Wheel Type | Monoblock Wheels |
Market share in 2024 | 43.6% |
Attributes | Details |
---|---|
Top Train Type | Freight Trains |
Market share in 2024 | 63.2% |
Country-wise Insights
Countries | CAGR from 2024 to 2034 |
---|---|
United States | 5.1% |
Germany | 6.7% |
China | 4.8% |
Japan | 6.7% |
India | 5.7% |
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Explore the Acrylic Emulsions Market: size, growth forecast (2023-2030), trends, applications, environmental concerns, & leading companies like Arkema, BASF & Dow.
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The main stock market index in Pakistan (KSE 100) increased 2645 points or 2.30% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks this benchmark index from Pakistan. Pakistan Stock Market (KSE100) - values, historical data, forecasts and news - updated on March of 2025.
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Global Rolling Stock Market size was valued at USD 61.5 billion in 2022 and is poised to grow from USD 65.2 billion in 2023 to USD 103.9 billion by 2031, growing at a CAGR of 6% in the forecast period (2024-2031).
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The main stock market index in the United Kingdom (GB100) increased 479 points or 5.86% since the beginning of 2025, 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 March of 2025.
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The main stock market index in Saudi Arabia (TASI) decreased 95 points or 0.79% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks this benchmark index from Saudi Arabia. Saudi Arabia Stock Market (TASI) - values, historical data, forecasts and news - updated on March of 2025.
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Stock market return (%, year-on-year) in Tanzania was reported at 2.791 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Tanzania - Stock market return (%, year-on-year) - actual values, historical data, forecasts and projections were sourced from the World Bank on March of 2025.
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The Global Rolling Stock Market is expected to demonstrate a CAGR of approximately 4.13% during the period 2023-2028, as stated by MarkNtel Advisors.