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
Consumer Spending in the United States increased to 16291.80 USD Billion in the first quarter of 2025 from 16273.20 USD Billion in the fourth quarter of 2024. This dataset provides the latest reported value for - United States Consumer Spending - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
The global total consumer spending in was forecast to continuously increase between 2024 and 2029 by in total **** trillion U.S. dollars (+***** percent). After the ninth consecutive increasing year, the consumer spending is estimated to reach **** trillion U.S. dollars and therefore a new peak in 2029. Consumer spending here refers to the domestic demand of private households and non-profit institutions serving households (NPISHs). Spending by corporations and the state is not included. The forecast has been adjusted for the expected impact of COVID-19.Consumer spending is the biggest component of the gross domestic product as computed on an expenditure basis in the context of national accounts. The other components in this approach are consumption expenditure of the state, gross domestic investment as well as the net exports of goods and services. Consumer spending is broken down according to the United Nations' Classification of Individual Consumption By Purpose (COICOP). As not all countries and regions report data in a harmonized way, all data shown here has been processed by Statista to allow the greatest level of comparability possible. The underlying input data are usually household budget surveys conducted by government agencies that track spending of selected households over a given period.The data is shown in nominal terms which means that monetary data is valued at prices of the respective year and has not been adjusted for inflation. For future years the price level has been projected as well. The data has been converted from local currencies to US$ using the average exchange rate of the respective year. For forecast years, the exchange rate has been projected as well. The timelines therefore incorporate currency effects.Find more key insights for the total consumer spending in countries like North America and Europe.
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
Personal Spending in the United States decreased 0.10 percent in May of 2025 over the previous month. This dataset provides the latest reported value for - United States Personal Spending - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy
BASE YEAR | 2024 |
HISTORICAL DATA | 2019 - 2024 |
REPORT COVERAGE | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
MARKET SIZE 2023 | 9.75(USD Billion) |
MARKET SIZE 2024 | 11.76(USD Billion) |
MARKET SIZE 2032 | 52.8(USD Billion) |
SEGMENTS COVERED | Rating Type ,Rating Provider ,Industry ,End User ,Regional |
COUNTRIES COVERED | North America, Europe, APAC, South America, MEA |
KEY MARKET DYNAMICS | Growing investor demand Increasing regulatory pressure Rise of sustainable investing Technological advancements Data availability and quality concerns |
MARKET FORECAST UNITS | USD Billion |
KEY COMPANIES PROFILED | Morningstar Sustainalytics ,S&P Global ,Inrate ,RobecoSAM ,RepRisk ,Refinitiv ,Sustainalytics ,ISS ESG ,Bloomberg ,Trucost ,Arabesque ,Vigeo Eiris ,CDP Worldwide ,MSCI Inc. ,CSRHub |
MARKET FORECAST PERIOD | 2024 - 2032 |
KEY MARKET OPPORTUNITIES | Climate risk assessment Integration with financial analysis Growing demand for sustainable investments Increased regulation and investor pressure Technological advancements |
COMPOUND ANNUAL GROWTH RATE (CAGR) | 20.65% (2024 - 2032) |
https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy
The global staple market size was USD 215.5 Billion in 2023 and is likely to reach USD 315.7 Billion by 2032, expanding at a CAGR of 4.3% during 2024–2032. rising consumer demand for essential stationery goods and rapid growth of education industry, worldwide.
Increasing consumer demand for convenience and efficiency in office supplies is expected to drive the staple market during the forecast period. Businesses and educational institutions seek reliable and durable stapling solutions to streamline document management and organization. This trend highlights the staple's enduring relevance in both traditional and modern work environments.
Growing advancements in stapling technology introduce innovative products that cater to diverse needs. Electric and battery-operated staplers offer enhanced precision and ease of use, reducing manual effort and increasing productivity. These innovations present significant opportunities for manufacturers to capture a broader market share by addressing specific user requirements.
Rising awareness of sustainability influences the development of eco-friendly staples and staplers. Companies prioritize the use of recyclable materials and energy-efficient manufacturing processes to meet environmental standards. This shift aligns with global sustainability goals and appeals to environmentally conscious consumers, creating new avenues for market expansion.
The use of artificial intelligence is likely to boost the staple market. Retailers use AI algorithms to predict demand patterns, ensuring timely restocking and reducing waste. Machine learning models analyze consumer behavior,
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Vita Coco surpasses Q1 revenue expectations with a 17.2% increase, despite a mixed full-year outlook. The company shows strong growth in the consumer staples sector.
https://www.ademcetinkaya.com/p/legal-disclaimer.htmlhttps://www.ademcetinkaya.com/p/legal-disclaimer.html
Focusrite stock may see a surge in value due to increased demand for audio production equipment amid a growing remote work and online content creation trend. However, potential risks include intense competition, supply chain disruptions, and economic fluctuations that could impact consumer discretionary spending.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Consumer Spending in India decreased to 27200.39 INR Billion in the first quarter of 2025 from 28433.68 INR Billion in the fourth quarter of 2024. This dataset provides - India Consumer Spending - actual values, historical data, forecast, chart, statistics, economic calendar and news.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Consumer Spending in Japan increased to 299720 JPY Billion in the first quarter of 2025 from 299592.10 JPY Billion in the fourth quarter of 2024. This dataset provides - Japan Consumer Spending - actual values, historical data, forecast, chart, statistics, economic calendar and news.
https://www.ademcetinkaya.com/p/legal-disclaimer.htmlhttps://www.ademcetinkaya.com/p/legal-disclaimer.html
Signet's stock has historically outperformed the market, but its recent performance has lagged. Rising interest rates, inflation, and consumer discretionary spending concerns pose risks. However, the company's strong brand portfolio, focus on value-oriented consumers, and omnichannel strategy provide potential for upside. Signet's financial performance and industry trends should be monitored closely to assess its future prospects.
https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy
The independent artists market, encompassing visual and performing arts, is a dynamic sector poised for significant growth. With a 2025 market size of $104.61 million and a projected Compound Annual Growth Rate (CAGR) of 7.46% from 2025 to 2033, the market demonstrates considerable potential. Growth is fueled by several key factors. The increasing accessibility of online platforms for artist promotion and sales directly to consumers is a significant driver, bypassing traditional gatekeepers and expanding reach. Furthermore, a rising appreciation for unique, handcrafted, and personalized artworks, along with a growing demand for diverse cultural experiences in the performing arts, further strengthens market demand. The market is segmented by art type (visual and performing) and end-user (individual and commercial). Commercial users, encompassing galleries, museums, and event organizers, represent a crucial segment, driving bulk purchasing and impacting market value. While data on specific regional breakdowns is unavailable, logical estimation suggests that North America and Europe will dominate the market initially, given the established art infrastructure and consumer spending patterns, with Asia Pacific experiencing faster growth over the forecast period due to burgeoning middle classes and increased cultural investment. Constraints on market growth could stem from economic downturns that reduce consumer discretionary spending, particularly impacting the individual user segment, and challenges faced by independent artists in marketing and reaching wider audiences. The competitive landscape is characterized by a diverse mix of individual artists and smaller organizations alongside larger players. Established players like CJ Corp, Cineworld Group, and AMC Entertainment Holdings (primarily in the film and performing arts segments) indicate the potential for consolidation and strategic partnerships in the future. The presence of prominent performing arts institutions like the Metropolitan Opera and the Bolshoi Theatre signals the intertwining of established and independent artistic endeavors. Successful growth strategies for independent artists will likely focus on effective digital marketing, building strong online brand presence, cultivating direct relationships with consumers, and collaborating with other artists and organizations to gain wider exposure and resources. The long-term outlook for the independent artist market remains positive, contingent on consistent innovation, supportive policy environments, and the continued embrace of art and culture by consumers and businesses alike. This comprehensive report provides an in-depth analysis of the Independent Artists Market, offering valuable insights into market trends, growth drivers, challenges, and future projections. With a study period spanning 2019-2033, a base year of 2025, and a forecast period of 2025-2033, this report is an essential resource for businesses, investors, and anyone seeking to understand this dynamic sector. The report covers key segments including Visual Arts and Performing Arts, catering to both Individual and Commercial users. The market is expected to witness significant growth, driven by several factors detailed within. Recent developments include: January 2023: AMC Entertainment Holdings, Inc., the largest theatrical exhibitor in the United States, in Europe & the Middle East, and the world, announced that following the successful launch of movie theatre operations in the Kingdom of Saudi Arabia in partnership with Saudi Entertainment Ventures (SEVEN), the Company has reached an agreement to transition from a management and investment role in the Saudi Cinema Company (SCC) to a pure licensing relationship., December 2022: Kinepolis Group NV acquired Les Cinémas Pathé Gaumont from Pathé SAS. Following this acquisition, Kinepolis France now operates 15 Kinepolis cinemas and one Arthouse cinema named Klub, with a total of 176 screens and over 40,000 seats.. Notable trends are: Visual Arts Segment Dominated the Market.
https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy
The global crystalware and glassware market, valued at approximately $XX million in 2025, is projected to experience robust growth, exhibiting a Compound Annual Growth Rate (CAGR) of 7.95% from 2025 to 2033. This expansion is fueled by several key drivers. The rising disposable incomes in developing economies, particularly in Asia-Pacific, are increasing consumer spending on premium home goods, including high-quality crystalware and glassware. Furthermore, evolving lifestyles and a growing preference for sophisticated dining experiences are boosting demand for elegant and aesthetically pleasing tableware. The increasing popularity of online retail channels also contributes significantly, providing broader market access and convenience for consumers. While the market faces constraints such as the rising cost of raw materials and potential economic downturns impacting consumer discretionary spending, the overall positive trends suggest a promising outlook. Market segmentation reveals a strong demand across diverse applications, including home use, restaurants, hotels, and catering services. Key players like Degrenne, Denby Retail Ltd., and Groupe SEB are employing various competitive strategies such as product innovation, brand building, and strategic partnerships to maintain their market positions and capitalize on emerging opportunities. Regional analysis indicates that North America and Europe currently dominate the market, but the Asia-Pacific region is expected to witness the fastest growth in the coming years due to its expanding middle class and rising consumer demand. The competitive landscape is characterized by a mix of established multinational corporations and regional players. These companies are focusing on enhancing consumer engagement through innovative designs, sustainable practices, and personalized experiences. The market's future trajectory hinges on several factors including advancements in manufacturing techniques, the emergence of new materials, and sustained consumer demand for premium products. The continued growth in e-commerce and the expansion of luxury retail channels are poised to further stimulate market development. The increasing interest in sustainable and ethically sourced materials also presents opportunities for companies that prioritize environmentally friendly practices. Analyzing these trends and factors, we can project a consistently expanding market with significant potential for further growth throughout the forecast period.
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.ademcetinkaya.com/p/legal-disclaimer.htmlhttps://www.ademcetinkaya.com/p/legal-disclaimer.html
Henderson European Focus Trust (HEFT) is a closed-end investment trust that invests in European equities. The trust's objective is to provide long-term capital growth and income. HEFT has a diversified portfolio of investments in Europe's leading companies, including those in the consumer discretionary, consumer staples, and financial sectors. The trust's portfolio is managed by Henderson Global Investors, a leading European asset manager. HEFT's predictions and risks include: Predictions: HEFT is expected to continue to perform well in the long term as the European economy is expected to continue to grow. The trust's diversified portfolio of investments in leading European companies provides it with exposure to the growth potential of the region. Risks: HEFT is exposed to the risks associated with investing in European equities, including the risk of currency fluctuations, political instability, and economic downturns. The trust's portfolio is also concentrated in a relatively small number of companies, which increases the risk of losses if any of these companies experience financial difficulties.
https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy
The global makeup set market is experiencing robust growth, driven by increasing consumer spending on cosmetics and personal care products, particularly among millennials and Gen Z. The market's expansion is fueled by several key factors: the rising popularity of online beauty retail channels offering convenience and diverse product selections; the increasing demand for premium and customized makeup sets catering to specific skin types and needs; and the growing influence of social media and beauty influencers shaping consumer preferences and purchase decisions. The market is segmented by distribution channels (offline and online) and product type (cheap and premium sets), with online sales exhibiting significantly faster growth due to the ease of access and targeted advertising capabilities. Key players like L'Oréal, Procter & Gamble, and Estée Lauder dominate the market, leveraging their strong brand recognition and extensive distribution networks. However, smaller, niche brands focusing on sustainable or ethically sourced ingredients are also gaining traction, catering to the growing consumer demand for eco-conscious beauty products. The competitive landscape is dynamic, with companies continually innovating to introduce new products, improve formulations, and enhance their online presence to capture market share. Challenges for the industry include fluctuations in raw material costs, increasing regulatory scrutiny regarding product safety and ingredient transparency, and the potential for economic downturns impacting consumer discretionary spending. Despite these challenges, the long-term outlook for the makeup set market remains positive, with continued growth anticipated over the next decade. Factors such as rising disposable incomes in emerging economies, increasing awareness of the importance of self-care, and the ongoing trend toward personalized beauty routines will likely drive further market expansion. The market is geographically diverse, with significant growth potential in Asia-Pacific and other developing regions. Successful companies will need to adapt to changing consumer preferences, embrace e-commerce strategies, and prioritize sustainable and ethical practices to maintain their competitive edge in this evolving landscape.
https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy
The global sound processors market is projected to witness significant growth over the next decade. Valued at XXX million in 2025, the market is expected to reach XXX million by 2033, exhibiting a CAGR of XX%. The growth is attributed to the increasing adoption of advanced audio technologies and the rising demand for high-quality audio experiences in various applications. Key drivers include the advancements in digital signal processing and the proliferation of streaming services, driving the demand for more immersive and realistic sound reproduction. The market is segmented into application (consumer electronics, automotive, professional audio) and type (analog, digital). Competition in the market is intense, with major players such as Alpine Electronics, AudioControl, Sony, Focal, and Marantz vying for market share. North America held the largest market share in 2025, followed by Europe and Asia Pacific. Key trends shaping the market include the growing popularity of wireless connectivity, the integration of artificial intelligence (AI) for enhanced audio performance, and the rising demand for personalized audio experiences. Restraining factors include the high cost of high-end sound processors and the potential impact of economic downturns on consumer discretionary spending.
Alcohol Prep Pads Market Size 2024-2028
The alcohol prep pads market size is forecast to increase by USD 451.2 million at a CAGR of 15.2% between 2023 and 2028.
In the dynamic market landscape of Alcohol Prep Pads, several key drivers, trends, and challenges shape its growth trajectory. The rising number of surgical procedures globally, fueled by an aging population and increasing healthcare awareness, significantly boosts market demand. Furthermore, the increasing availability of online retailers offers convenience and accessibility to consumers, expanding market reach. However, pricing pressure and growing competition pose significant challenges. The market encompasses the production and distribution of sterilized pads soaked in ethanol or ethyl alcohol, primarily used for skin cleansing and makeup removal in various industries. Deionized water and cotton wool or rags are often utilized in the manufacturing process. Manufacturers must balance affordability with quality to maintain market share. Additionally, stringent regulatory requirements and raw material availability concerns add complexity to the market dynamics. Overall, the market is poised for growth, driven by these factors and the evolving healthcare landscape.
What will be the Size of the Market During the Forecast Period?
Request Free Sample
The market encompasses the production and distribution of sterilized pads soaked in ethanol or ethyl alcohol, primarily used for skin cleansing and makeup removal in various industries. Deionized water and cotton wool or rags are often utilized in the manufacturing process. These pads are essential in hospitals, operating rooms, ICUs, and medical equipment sterilization due to their ability to maintain a pH range suitable for medical applications.
Moreover, the global lockdown caused by the SARS coronavirus outbreak led to a significant behavioral shift towards ecommerce channels for consumer engagement in the Consumer Discretionary sector. HighTech Conversions, among others, have capitalized on this trend by producing alcohol prep pads from synthetic fabrics like polyester and petroleum-based polycellulose. Provitamin B5, aloe, and other skin-friendly ingredients are increasingly incorporated into these pads to enhance their appeal and versatility.
How is this market segmented and which is the largest segment?
The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.
End-user
Hospitals and clinics
ASCs
Others
Product
Alcohol cotton balls
Alcohol cotton sheet
Geography
North America
US
Europe
Germany
UK
France
Asia
China
Rest of World (ROW)
By End-user Insights
The hospitals and clinics segment is estimated to witness significant growth during the forecast period.
The market encompasses the production and distribution of sterile pads soaked in Alcohol or Ethanol, used for various applications including skin cleansing, makeup removal, and disinfection. These pads may be made from materials such as Deionized water, Cotton wool, Rag, Polyester fabric, or nonwoven fabrics like Polycellulose, Synthetic fabric, Polypropylene, and Nonwoven polyester. The pH range of Alcohol Prep Pads can vary, with some containing Provitamin B5, Aloe, or other additives for enhanced skin care properties. Ethanol, a common type of Alcohol used in these pads, is often derived from petroleum. HighTech Conversions and other manufacturers produce advanced Alcohol Prep Pads, utilizing materials like Tack Traxx mats for increased adhesion.
Get a glance at the market report of share of various segments Request Free Sample
The hospitals and clinics segment was valued at USD 61.60 million in 2018 and showed a gradual increase during the forecast period.
Regional Analysis
Asia is estimated to contribute 34% to the growth of the global market during the forecast period.
Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.
For more insights on the market share of various regions Request Free Sample
The market holds significance in the healthcare sector, particularly in Intensive Care Units (ICUs) where medical equipment requires regular disinfection. The global lockdown instigated by the SARS coronavirus outbreak has led to a behavioral shift towards increased hygiene and sanitation. This trend has positively impacted the demand for alcohol prep pads in the consumer discretionary segment. The ecommerce channel has emerged as a prominent distribution platform for alcohol prep pads due to the convenience it offers. Consumers are increasingly engaging with online platforms to purchase essential medical supplies, includin
The real per capita cosumer spending ranking is led by Iran with 120,324,699 U.S. dollars, while Vietnam is following with 49,388,580.61 U.S. dollars. In contrast, Zimbabwe is at the bottom of the ranking with 2.87 U.S. dollars, showing a difference of 120,324,696.13 U.S. dollars to Iran. Consumer spending, here depicted per capita, refers to the domestic demand of private households and non-profit institutions serving households (NPISHs). Spending by corporations and the state is not included. The forecast has been adjusted for the expected impact of COVID-19.Consumer spending is the biggest component of the gross domestic product as computed on an expenditure basis in the context of national accounts. The other components in this approach are consumption expenditure of the state, gross domestic investment as well as the net exports of goods and services. Consumer spending is broken down according to the United Nations' Classification of Individual Consumption By Purpose (COICOP). As not all countries and regions report data in a harmonized way, all data shown here has been processed by Statista to allow the greatest level of comparability possible. The underlying input data are usually household budget surveys conducted by government agencies that track spending of selected households over a given period.The data has been converted from local currencies to US$ using the average constant exchange rate of the base year 2017. The timelines therefore do not incorporate currency effects. The data is shown in real terms which means that monetary data is valued at constant prices of a given base year (in this case: 2017). To attain constant prices the nominal forecast has been deflated with the projected consumer price index for the respective category.
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