While the global coronavirus (COVID-19) pandemic caused all major stock market indices to fall sharply in March 2020, both the extent of the decline at this time, and the shape of the subsequent recovery, have varied greatly. For example, on March 15, 2020, major European markets and traditional stocks in the United States had shed around ** percent of their value compared to January *, 2020. However, Asian markets and the NASDAQ Composite Index only shed around ** to ** percent of their value. A similar story can be seen with the post-coronavirus recovery. As of November 14, 2021 the NASDAQ composite index value was around ** percent higher than in January 2020, while most other markets were only between ** and ** percent higher. Why did the NASDAQ recover the quickest? Based in New York City, the NASDAQ is famously considered a proxy for the technology industry as many of the world’s largest technology industries choose to list there. And it just so happens that technology was the sector to perform the best during the coronavirus pandemic. Accordingly, many of the largest companies who benefitted the most from the pandemic such as Amazon, PayPal and Netflix, are listed on the NADSAQ, helping it to recover the fastest of the major stock exchanges worldwide. Which markets suffered the most? The energy sector was the worst hit by the global COVID-19 pandemic. In particular, oil companies share prices suffered large declines over 2020 as demand for oil plummeted while workers found themselves no longer needing to commute, and the tourism industry ground to a halt. In addition, overall share prices in two major stock exchanges – the London Stock Exchange (as represented by the FTSE 100 index) and Hong Kong (as represented by the Hang Seng index) – have notably recovered slower than other major exchanges. However, in both these, the underlying issue behind the slower recovery likely has more to do with political events unrelated to the coronavirus than it does with the pandemic – namely Brexit and general political unrest, respectively.

In 2024, ** percent of adults in the United States invested in the stock market. This figure has remained steady over the last few years, and is still below the levels before the Great Recession, when it peaked in 2007 at ** percent. What is the stock market? The stock market can be defined as a group of stock exchanges, where investors can buy shares in a publicly traded company. In more recent years, it is estimated an increasing number of Americans are using neobrokers, making stock trading more accessible to investors. Other investments A significant number of people think stocks and bonds are the safest investments, while others point to real estate, gold, bonds, or a savings account. Since witnessing the significant one-day losses in the stock market during the Financial Crisis, many investors were turning towards these alternatives in hopes for more stability, particularly for investments with longer maturities. This could explain the decrease in this statistic since 2007. Nevertheless, some speculators enjoy chasing the short-run fluctuations, and others see value in choosing particular stocks.

Use our Stock prices dataset to access comprehensive financial and corporate data, including company profiles, stock prices, market capitalization, revenue, and key performance metrics. This dataset is tailored for financial analysts, investors, and researchers to analyze market trends and evaluate company performance.

Popular use cases include investment research, competitor benchmarking, and trend forecasting. Leverage this dataset to make informed financial decisions, identify growth opportunities, and gain a deeper understanding of the business landscape. The dataset includes all major data points: company name, company ID, summary, stock ticker, earnings date, closing price, previous close, opening price, and much more.

This study examines the market return spillovers from the US market to 10 Asia-Pacific stock markets, accounting for approximately 91 per cent of the region’s GDP from 1991 to 2022. Our findings indicate an increased return spillover from the US stock market to the Asia-Pacific stock market over time, particularly after major global events such as the 1997 Asian and the 2008 global financial crises, the 2015 China stock market crash, and the COVID-19 pandemic. The 2008 global financial crisis had the most substantial impact on these events. In addition, the findings also indicate that US economic policy uncertainty and US geopolitical risk significantly affect spillovers from the US to the Asia-Pacific markets. In contrast, the geopolitical risk of Asia-Pacific countries reduces these spillovers. The study also highlights the significant impact of information and communication technologies (ICT) on these spillovers. Given the increasing integration of global financial markets, the findings of this research are expected to provide valuable policy implications for investors and policymakers.

In this table, we list major worldwide stock market crashes from 2007 to 2023. For each crash, we show its name, rough time of occurrence, stock index’s high and low, and in which country it occurred.

China's main stock market index, the SHANGHAI, rose to 3883 points on September 30, 2025, gaining 0.52% from the previous session. Over the past month, the index has climbed 0.19% and is up 11.26% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from China. China Shanghai Composite Stock Market Index - values, historical data, forecasts and news - updated on October of 2025.

The Long Depression was, by a large margin, the longest-lasting recession in U.S. history. It began in the U.S. with the Panic of 1873, and lasted for over five years. This depression was the largest in a series of recessions at the turn of the 20th century, which proved to be a period of overall stagnation as the U.S. financial markets failed to keep pace with industrialization and changes in monetary policy. Great Depression The Great Depression, however, is widely considered to have been the most severe recession in U.S. history. Following the Wall Street Crash in 1929, the country's economy collapsed, wages fell and a quarter of the workforce was unemployed. It would take almost four years for recovery to begin. Additionally, U.S. expansion and integration in international markets allowed the depression to become a global event, which became a major catalyst in the build up to the Second World War. Decreasing severity When comparing recessions before and after the Great Depression, they have generally become shorter and less frequent over time. Only three recessions in the latter period have lasted more than one year. Additionally, while there were 12 recessions between 1880 and 1920, there were only six recessions between 1980 and 2020. The most severe recession in recent years was the financial crisis of 2007 (known as the Great Recession), where irresponsible lending policies and lack of government regulation allowed for a property bubble to develop and become detached from the economy over time, this eventually became untenable and the bubble burst. Although the causes of both the Great Depression and Great Recession were similar in many aspects, economists have been able to use historical evidence to try and predict, prevent, or limit the impact of future recessions.

Description

This dataset offers a comprehensive historical record of stock prices for the world's most famous brands, with daily updates. The data spans from January 1, 2000, to the present day , providing an extensive timeline of stock market information for various global brands.

Key Features

• Date: The date of the stock price data.
• Open: The opening price of the stock on that date.
• High: The highest price the stock reached during the trading day.
• Low: The lowest price the stock reached during the trading day.
• Close: The closing price of the stock on that date.
• Volume: The trading volume, i.e., the number of shares traded on that date.
• Dividends: Dividends paid on that date (if any).
• Stock Splits: Information about stock splits (if any).
• Brand_Name: The name of the brand or company.
• Ticker: Ticker symbol for the stock.
• Industry_Tag: The industry category or sector to which the brand belongs.
• Country: The country where the brand is headquartered or primarily operates.

Potential Use Cases

• Stock Market Analysis: Analyze historical stock prices to identify trends and patterns in the stock market.
• Brand Performance: Evaluate the performance of various brands in the stock market over time.
• Investment Strategies: Develop investment strategies based on historical stock data for specific brands.
• Sector Analysis: Explore how different industries or sectors are performing in the stock market.
• Country Comparison: Compare the stock performance of brands across different countries.
• Market Sentiment Analysis: Analyze stock price movements in relation to news or events affecting specific brands or industries.

If you find this dataset useful, please consider giving it a vote! 🙂❤️

Online Calendar Apps Market Outlook

The online calendar apps market size is witnessing substantial growth, with the global market valued at approximately USD 1.5 billion in 2023 and projected to reach USD 4.2 billion by 2032, reflecting a robust CAGR of 12.1% during the forecast period. This remarkable growth is driven by the increasing reliance on digital tools for personal and professional time management, along with the rising penetration of smartphones and internet connectivity worldwide.

One of the primary growth factors for the online calendar apps market is the accelerated digital transformation across various sectors. The shift towards remote work and virtual collaboration tools has significantly boosted the demand for efficient time management solutions. Online calendar apps serve as an essential tool for both individuals and enterprises to streamline schedules, set reminders, and coordinate tasks seamlessly. Moreover, the integration of artificial intelligence and machine learning capabilities into these apps to offer personalized suggestions and automate routine tasks is further enhancing their appeal and functionality.

Another significant growth factor is the increasing adoption of mobile devices and the rapid proliferation of internet access. With smartphones becoming ubiquitous and internet services more affordable, a larger segment of the global population is now able to utilize online calendar apps. This trend is particularly pronounced in emerging markets where mobile-first strategies are prevalent. Additionally, the growing focus on productivity and time management in both personal and professional spheres is driving the adoption of these applications.

The rise of hybrid work models, combining remote and on-site work, is also contributing to the market's growth. As organizations embrace flexible working arrangements, the need for efficient scheduling and coordination tools has become paramount. Online calendar apps facilitate smooth communication and collaboration among team members, regardless of their physical location. The trend towards digitization of traditional office tools and the increasing emphasis on work-life balance are further propelling the market.

From a regional perspective, North America holds a significant share of the online calendar apps market due to the high adoption rate of digital tools and the presence of major technology companies. The Asia Pacific region is expected to witness the highest growth rate, driven by the large population base, increasing smartphone penetration, and rising digital literacy. Europe also represents a substantial market share, supported by the widespread use of technology in personal and professional domains. The Latin America and Middle East & Africa regions are also experiencing gradual growth, motivated by improving internet infrastructure and growing awareness of digital productivity tools.

Type Analysis

The online calendar apps market can be segmented by type into personal and professional categories. Personal calendar apps cater to individual needs, helping users manage their daily schedules, appointments, and personal events. These apps are designed with user-friendly interfaces and features like reminders, to-do lists, and integration with other personal productivity tools. The demand for personal calendar apps is driven by the increasing need for efficient time management in daily life, as individuals seek to balance work, personal activities, and social commitments. The growing awareness of mental health and the importance of maintaining a balanced lifestyle also play a crucial role in this segment's growth.

Professional calendar apps, on the other hand, are tailored for business and corporate users. These applications offer advanced features such as team collaboration, project management, resource allocation, and integration with enterprise software like CRM and ERP systems. The professional segment is experiencing significant growth due to the rising adoption of remote and hybrid work models, which necessitate efficient scheduling and coordination tools. Enterprises are increasingly investing in professional calendar apps to enhance productivity, streamline workflows, and ensure effective communication among team members. The integration of AI-driven functionalities that offer predictive insights and automated scheduling is further boosting the appeal of professional calendar apps.

The personal and professional segments are both evolving with technological advancements. For instance, many personal calendar apps are now incorporat

The macro policy of the stock market is an important market information. The implementation goal of the macro policy of the stock market is mainly to improve the effectiveness of the stock market. However, whether this effectiveness has achieved the goal is worth verifying through empirical data. The exertion of this information utility is closely related to the effectiveness of the stock market. Use the run test method in statistics to collect and sort out the daily data of stock price index in recent 30 years, the linkage between 75 macro policy events and 35 trading days of market efficiencies before and after the macro event are tested since 1992 to 2022. The results show that 50.66% of the macro policies are positively linked to the effectiveness of the stock market, while 49.34% of the macro policies have reduced the effectiveness of the market operation. This shows that the effectiveness of China’s stock market is not high, and the nonlinear characteristics are obvious, so the policy formulation of the stock market needs further improvement.

According to Cognitive Market Research, the global Date Palm market was USD 11512.2 million in 2024 and will expand at a compound annual growth rate (CAGR) of 5.60% from 2024 to 2031.

North America held the major market share of more than 40% of the global revenue, with a market size of USD 4604.88 million in 2024. The market will grow at a compound annual growth rate (CAGR) of 3.8% from 2024 to 2031.
Europe accounted for a share of over 30% of the global market size of USD 3453.66 million.
Asia Pacific held a market share of around 23% of global revenue, with a market size of USD 2647.81 million in 2024, and will grow at a compound annual growth rate (CAGR) of 7.6% from 2024 to 2031.
Latin America's Market will have more than 5% of the global revenue with a market size of USD 575.61 million in 2024 and will grow at a compound annual growth rate (CAGR) of 5.0% from 2024 to 2031.
The Middle East and Africa held the major market share of around 2% of the global revenue, with a market size of USD 230.24 million in 2024. The market will grow at a compound annual growth rate (CAGR) of 5.3% from 2024 to 2031.
Whole date product held the highest Date Palm market revenue share in 2024.

Market Dynamics of Date Palm Market

Key Drivers of Date Palm Market

Increasing Demand for Nutrient-Dense Superfoods: Date palm fruits are abundant in fiber, antioxidants, and vital minerals, becoming increasingly popular among health-conscious consumers worldwide. As awareness grows regarding natural sugar substitutes and clean-label products, the market for date-based snacks, syrups, and energy foods is witnessing significant growth.

Rising Export Opportunities: Key producers such as those in the Middle East and North Africa are enhancing exports in response to strong global demand for high-quality date varieties. Initiatives supported by governments, along with advanced packaging technologies and improved cold chain logistics, are facilitating international trade, particularly to Europe, North America, and the Asia-Pacific regions.

Growth in Organic and Sustainable Agriculture: There is an increasing inclination towards organically cultivated dates and sustainable palm farming. Consumers are prepared to pay a premium for pesticide-free, certified organic products. This trend is motivating date palm farmers to implement eco-friendly farming methods and obtain organic certifications.

Key Restrains for Date Palm Market

Sensitivity to Climate Conditions: Date palms are particularly vulnerable to extreme weather phenomena such as droughts and floods. Variability in climate can affect both the quality and quantity of yields, impacting the profitability of growers in traditional cultivation areas like the Middle East, North Africa, and South Asia.

High Labor and Maintenance Expenses: The cultivation and harvesting of date palms require significant labor. Manual tasks such as pollination, pruning, and harvesting necessitate skilled labor, which raises operational costs. This presents a considerable challenge for small-scale farmers and restricts scalability in markets sensitive to pricing.

Short Shelf Life and Storage Challenges: Fresh dates possess a relatively brief shelf life and necessitate appropriate temperature-controlled storage to avert spoilage. Insufficient storage infrastructure, particularly in developing regions, hampers market growth and results in post-harvest losses during transportation and export.

Key Trends in Date Palm Market

Innovation in Value-Added Date Products: The market is experiencing swift advancements in products derived from dates, including date syrup, energy bars, chocolates, and even non-dairy substitutes. These offerings target vegan, gluten-free, and clean-label consumer demographics, thereby broadening the market beyond conventional usage.

Government Support and Strategic Investments: Nations such as Saudi Arabia, the UAE, and Egypt are making substantial investments in research and development, export enhancement, and agricultural technology for date cultivation. Collaborations between public and private sectors, along with subsidies, are driving growth and enhancing competitiveness in international markets.

E-Commerce and Direct-to-Consumer Channels: Digital platforms are revolutionizing the marketing and sales of dates, allowing producers to connect directly with customers worldwide. High-quali...

At the end of February 2025, the DAX index reached ********* points, marking its highest level since January 2015. Moreover, this also reflected a strong recovery from the global coronavirus (COVID-19) pandemic, having risen from ******** points at the end of March 2020 and surpassing its pre-pandemic level of approximately ********* points at the end of December 2019. Origin and composition of the DAX Index The DAX (Deutscher Aktienindex) is the most important German stock index, showing the value trends of the 40 largest companies by market capitalization listed on the Frankfurt stock exchange. The DAX index was introduced on July 1, 1988 and is a continuation of the Börsen-Zeitung Index, established in 1959. The count among their number some of the most recognizable companies in the world, such as carmakers Volkswagen and Daimler, sportswear brand adidas, and industrial giants Siemens and BASF. After the DAX, the 50 next-largest German companies are included in the midcap MDAX index, while the 70 next-largest small and medium-sized German companies (ranked from 91 to 160) are included in the SDAX index. The Frankfurt Stock Exchange All the companies included in the DAX family of indices are traded on the Frankfurt Stock Exchange. Dating back to 1585, the Frankfurt Stock Exchange is considered to be the oldest exchange in the world. It is the twelfth largest stock exchange in the world in terms of market capitalization, and accounts for around ** percent of all equity trading in Germany. Two main trading venues comprise the Frankfurt Stock Exchange: the Börse Frankfurt is a traditional trading floor; while the Xetra is an electronic trading system which accounts for the vast majority of trading volume on Frankfurt Stock Exchange. As of December 2023, the total market capitalization of all companies listed on the Frankfurt Stock Exchange was around *** trillion euros.

Smart Insider monitors new director changes at listed companies, allowing our clients to view the compositions of boardrooms and monitor changes as they occur for the stocks that matter to them.

We track internal movement in company for director changes as they move positions within a firm or transition to a new one as well as monitor key dates and biographical information. Insights derived from aggregated share transactions across multiple boards can expose patterns and activity that might otherwise remain below the radar.

In addition to key dates for director and board changes, our people profiles go beyond by including biographies and pictures. This comprehensive visual profile provides clients with a holistic understanding of the characteristics of directors and senior officers.

We provide tailored data delivery to meet client needs, including scheduled desktop reports, nightly updates via FTP, API or Snowflake.

Investor Relations and HR departments can receive concise boardroom personnel changes across peer companies. Fund managers can get portfolio/watchlist updates and sector-specific information.

Sample dataset can be provided upon request.

Tags: Corporate Actions Data, Management Changes, Director Insights, Internal Movement in Companies, Board Changes, Stock Holdings Data, Salary Data, Insider Score.

The statistic shows the development of the MSCI World USD Index from 1986 to 2024. The 2024 year-end value of the MSCI World USD index amounted to ******** points. MSCI World USD index – additional information The MSCI World Index, developed by Morgan Stanley Capital International (MSCI), is one of the most important stock indices. It includes stocks from developed countries all over the world and is regarded as benchmark of global stock market. According to MSCI, this index covers about ** percent of the free float-adjusted market capitalization in each country. As seen on the statistics above, in 2024, MSCI World USD index reported its highest value since 1986 amounting, a threefold increase from the figure recorded in 2013, when the year-end value of the MSCI World index was equal to ********. Along with the S&P Global Broad Market, the MSCI World is one of the most important global stock market performance indexes. Aside of including markets around the globe, these two indexes are global in a sense that they disregard where the companies are domiciled or traded, whereas other important indexes such as the Dow Jones Industrial Average, the Japanese index Nikkei 225, Wilshire 5000, the NASDAQ 100 index, have different approaches.

Abstract Purpose: The objective of this study is to analyze the impact of changes in credit ratings on the long-term return of Brazilian firms. Design/methodology/approach: We conducted an event study to measure how stock prices in the Brazilian stock exchange (B3) react to rating upgrades and downgrades by Moody’s and S&P. Findings: Our sample presents positive and significant returns measured by the BHAR for ratings downgrades and non-significant ones for upgrades. Our data also show the important role of the previous rating in explaining these results in a non-linear fashion. Originality/value: Our research makes an important contribution to the theory of market efficiency, analyzing the degree of information present in the announcements of credit ratings changes. We also present results for Brazilian companies, correcting gaps pointed out in previous methodologies.

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Event Logistics Market Size 2025-2029

The event logistics market size is valued to increase USD 1.58 billion, at a CAGR of 5.9% from 2024 to 2029. Growth of large-scale events will drive the event logistics market.

Major Market Trends & Insights

APAC dominated the market and accounted for a 33% growth during the forecast period.
By Event Type - Entertainment events segment was valued at USD 1.73 billion in 2023
By End-user - Corporates and enterprises segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: 54.70 million
Market Future Opportunities: USD 1.58 billion 
CAGR : 5.9%
APAC: Largest market in 2023

Market Summary

The market encompasses the planning, coordination, and execution of logistical operations for various events, from small corporate gatherings to large-scale international conferences. This dynamic market is fueled by the growing demand for seamless event experiences, with core technologies and applications, such as digital and smart logistics solutions, playing a pivotal role. Service types, including transportation, accommodation, catering, and security, are continually evolving to meet the needs of event organizers. Regulations and geopolitical risks pose challenges, while the adoption of digital solutions and the growth of large-scale events offer significant opportunities.
According to recent studies, the digital transformation of event logistics is expected to reach a market share of over 30% by 2026. In related markets such as the transportation and hospitality industries, the integration of technology is also driving innovation and growth. The ongoing unfolding of these trends and patterns underscores the continuous evolution of the market.

What will be the Size of the Event Logistics Market during the forecast period?

Get Key Insights on Market Forecast (PDF) Request Free Sample

How is the Event Logistics Market Segmented and what are the key trends of market segmentation?

The event logistics 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.

Event Type

  Entertainment events
  Sports events
  Trade fairs and expos
  Corporate events
  Others


End-user

  Corporates and enterprises
  Entertainment companies
  Government and public sector
  Sports organizations
  Others


Service Type

  Transportation and freight
  On-site setup and handling
  Warehousing and storage
  Customs and compliance
  Others


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  APAC

    Australia
    China
    India
    Japan


  South America

    Brazil


  Rest of World (ROW)

By Event Type Insights

The entertainment events segment is estimated to witness significant growth during the forecast period.

The market encompasses a significant and intricate segment dedicated to managing the complexities of various types of events, particularly entertainment events. This category comprises concerts, music festivals, film festivals, theater productions, live shows, and touring performances. These events necessitate the transportation of substantial volumes of equipment, including audio-visual gear, stage props, lighting rigs, costumes, instruments, and promotional materials, often across cities, countries, or even continents. The logistical challenges are amplified by tight turnaround times between shows. Effective execution of entertainment events hinges on the precise coordination of transport, customs clearance, setup, and dismantling within narrow timeframes. Logistics providers must be adept at handling last-minute changes, rerouting, and special cargo handling, as a considerable portion of the equipment is high-value, fragile, or custom-made.

Moreover, sustainability is increasingly becoming a crucial aspect of event planning, with a growing emphasis on reducing carbon footprints and minimizing waste. Event marketing automation, data privacy compliance, attendee engagement tools, and resource allocation models are essential components of modern event logistics. Contract negotiation strategies, event sponsorship acquisition, exhibitor management tools, accessibility event planning, digital ticketing solutions, company management platforms, supplier relationship management, crowd management strategies, event registration systems, lead generation strategies, venue management software, security management systems, virtual event platforms, emergency response planning, event staffing solutions, registration data analytics, event content management, post-event evaluation metrics, event technology integration, hybrid event management, transportation route planning, real-time event tracking, risk assessment pro

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.

Patterson-UTI (PTEN) Eyes Significant Growth Amidst Industry Recovery.

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

The prediction of stock prices has long been a captivating subject in academic research. This study aims to forecast the prices of prominent stocks in five key industries of the Chinese A-share market by leveraging the synergistic power of deep learning techniques and investor sentiment analysis. To achieve this, a sentiment multi-classification dataset is for the first time constructed for China’s stock market, based on four types of sentiments in modern psychology. The significant heterogeneity of sentiment changes in the sectors’ leading stock markets is trained and mined using the Bi-LSTM-ATT model. The impact of multi-classification investor sentiment on stock price prediction was analyzed using the CNN-Bi-LSTM-ATT model. It finds that integrating sentiment indicators into the prediction of industry leading stock prices can enhance the accuracy of the model. Drawing upon four fundamental sentiment types derived from modern psychology, our dataset provides a comprehensive framework for analyzing investor sentiment and its impact on forecasting the stock prices of China’s A-share 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.

TOMZ: Are Environmental Solutions the Key to a Greener Future?

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

Daily Summary of Important Information for this Country and the First OTC Company (GreTai Securities Market)