Between March 4 and March 11, 2020, the S&P 500 index declined by ** percent, descending into a bear market. On March 12, 2020, the S&P 500 plunged *** percent, its steepest one-day fall since 1987. The index began to recover at the start of April and reached a peak in December 2021. As of December 29, 2024, the value of the S&P 500 stood at ******** points. Coronavirus sparks stock market chaos Stock markets plunged in the wake of the COVID-19 pandemic, with investors fearing its spread would destroy economic growth. Buoyed by figures that suggested cases were leveling off in China, investors were initially optimistic about the virus being contained. However, confidence in the market started to subside as the number of cases increased worldwide. Investors were deterred from buying stocks, and this was reflected in the markets – the values of the Dow Jones Industrial Average and the Nasdaq Composite also dived during the height of the crisis. What is a bear market? A bear market occurs when the value of a stock market suffers a prolonged decline of more than 20 percent over a period of at least 2 months. The COVID-19 pandemic caused severe concern and sent stock markets on a steep downward spiral. The S&P 500 achieved a record closing high of ***** on February 19, 2020. However, just over 3 weeks later, the market closed on *****, which represented a decline of around ** percent in only 16 sessions.

View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

The Dow Jones Industrial Average (DJIA) index dropped around ***** points in the four weeks from February 12 to March 11, 2020, but has since recovered and peaked at ********* points as of November 24, 2024. In February 2020 - just prior to the global coronavirus (COVID-19) pandemic, the DJIA index stood at a little over ****** points. U.S. markets suffer as virus spreads The COVID-19 pandemic triggered a turbulent period for stock markets – the S&P 500 and Nasdaq Composite also recorded dramatic drops. At the start of February, some analysts remained optimistic that the outbreak would ease. However, the increased spread of the virus started to hit investor confidence, prompting a record plunge in the stock markets. The Dow dropped by more than ***** points in the week from February 21 to February 28, which was a fall of **** percent – its worst percentage loss in a week since October 2008. Stock markets offer valuable economic insights The Dow Jones Industrial Average is a stock market index that monitors the share prices of the 30 largest companies in the United States. By studying the performance of the listed companies, analysts can gauge the strength of the domestic economy. If investors are confident in a company’s future, they will buy its stocks. The uncertainty of the coronavirus sparked fears of an economic crisis, and many traders decided that investment during the pandemic was too risky.

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.

Nifty 50: Climb or Crash?

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

Data used in the paper "The emergence of critical stocks in market crash".1.
The '2015bipartite.graphml' and '2015-1_fund_stock.graphml' contains the stock networks established by the mutual funds holding data on Jun 30, 2015. While the first file has the mutual funds holding values grouped by the labels of mutual fund companies, the second one uses mutual funds holding values directly. The original data of mutual funds holding are provided by Wind Information, which is not publicly available due to Wind’s license requirement.

1. The ‘stock_style.csv’ describes which kind of investment style a stock belongs to, which is also downloaded from Wind Information.

2. The series of files named as ‘first to low *.csv’ includes the stocks which reach their limit down prices. The timing of stocks reaching limit down prices are calculated from the intraday price data provided by Thomson Reuters’ Tick History. The information of whether a stock reached its limit down price is provides by Wind Information. The original price trends data is not publicly available due to the company’s license requirement.

Germany's main stock market index, the DE40, rose to 24458 points on July 18, 2025, gaining 0.36% from the previous session. Over the past month, the index has climbed 6.08% and is up 34.59% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Germany. Germany Stock Market Index (DE40) - values, historical data, forecasts and news - updated on July of 2025.

The value of the DJIA index amounted to ********* at the end of March 2025, up from ********* at the end of March 2020. Global panic about the coronavirus epidemic caused the drop in March 2020, which was the worst drop since the collapse of Lehman Brothers in 2008. Dow Jones Industrial Average index – additional information The Dow Jones Industrial Average index is a price-weighted average of 30 of the largest American publicly traded companies on New York Stock Exchange and NASDAQ, and includes companies like Goldman Sachs, IBM and Walt Disney. This index is considered to be a barometer of the state of the American economy. DJIA index was created in 1986 by Charles Dow. Along with the NASDAQ 100 and S&P 500 indices, it is amongst the most well-known and used stock indexes in the world. The year that the 2018 financial crisis unfolded was one of the worst years of the Dow. It was also in 2008 that some of the largest ever recorded losses of the Dow Jones Index based on single-day points were registered. On September 29, 2008, for instance, the Dow had a loss of ****** points, one of the largest single-day losses of all times. The best years in the history of the index still are 1915, when the index value increased by ***** percent in one year, and 1933, year when the index registered a growth of ***** percent.

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.

China's main stock market index, the SHANGHAI, rose to 3534 points on July 18, 2025, gaining 0.50% from the previous session. Over the past month, the index has climbed 5.13% and is up 18.52% 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 July of 2025.

Brazil's main stock market index, the IBOVESPA, rose to 135565 points on July 17, 2025, gaining 0.04% from the previous session. Over the past month, the index has declined 2.27%, though it remains 6.20% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Brazil. Brazil Stock Market (BOVESPA) - values, historical data, forecasts and news - updated on July of 2025.

Hong Kong's main stock market index, the HK50, rose to 24650 points on July 17, 2025, gaining 0.54% from the previous session. Over the past month, the index has climbed 3.96% and is up 38.65% 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.

BCC Market Research Report for Fall Protection Equipment Industry. Fall Protection Market trends, with data from 2019-2020, estimates for 2021-2024, and projections of five-year CAGRs through 2025.

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 40 percent of their value compared to January 5, 2020. However, Asian markets and the NASDAQ Composite Index only shed around 20 to 25 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 65 percent higher than in January 2020, while most other markets were only between 20 and 40 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.

The Fall Detection System Market is expected to witness steady growth between 2025 and 2035, driven by the rising elderly population and the increasing prevalence of age-related health conditions. The market is projected to reach USD 469.5 million in 2025 and expand to USD 856.8 million by 2035, reflecting a compound annual growth rate (CAGR) of 6.2% over the forecast period.

Country wise Outlook

Competitive Outlook

The global fall protection equipment market size was valued at USD 2.92 Billion in 2024. Looking forward, IMARC Group estimates the market to reach USD 5.16 Billion by 2033, exhibiting a CAGR of 6.22% during 2025-2033. North America dominated the market, holding a significant market share of over 36.9% in 2024. Strict safety regulations, widespread industrial activity, advanced construction practices, and high employer awareness regarding worker safety and legal compliance requirements contribute to the growing fall protection equipment market share.

IMARC Group provides an analysis of the key trends in each segment of the global fall protection equipment market, along with forecasts at the global, regional, and country levels from 2025-2033. The market has been categorized based on product type, and end-use industry.

Learn about the shrinking demand for graphic papers in China and the anticipated downward consumption trend over the next decade, with market volume projected to decrease to 37M tons by 2035.

Mexico's main stock market index, the IPC, rose to 56552 points on July 17, 2025, gaining 0.09% from the previous session. Over the past month, the index has declined 0.31%, though it remains 6.62% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Mexico. IPC Mexico Stock Market - values, historical data, forecasts and news - updated on July of 2025.

India's main stock market index, the SENSEX, fell to 82259 points on July 17, 2025, losing 0.45% from the previous session. Over the past month, the index has climbed 1.00% and is up 1.13% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from India. BSE SENSEX Stock Market Index - values, historical data, forecasts and news - updated on July of 2025.

Digital ALS Respiratory Decline Tracking Kit Market Outlook

According to our latest research, the global market size for the Digital ALS Respiratory Decline Tracking Kit stood at USD 412 million in 2024, with a robust compound annual growth rate (CAGR) of 18.7% projected from 2025 to 2033. By the end of 2033, the market is expected to reach USD 1,968 million, driven by increasing adoption of digital health technologies, rising awareness about amyotrophic lateral sclerosis (ALS), and the growing need for continuous respiratory monitoring in ALS patients. The surge in demand for remote monitoring solutions and integration of artificial intelligence (AI) into respiratory tracking devices are key growth factors shaping the landscape of this market.

The growth of the Digital ALS Respiratory Decline Tracking Kit market is propelled by several critical factors. The increasing prevalence of ALS globally, coupled with the progressive nature of the disease, necessitates continuous monitoring to manage respiratory decline effectively. Early detection and timely intervention are crucial in slowing disease progression and improving the quality of life for ALS patients. Digital kits, equipped with wearable sensors and portable spirometers, enable real-time monitoring and data collection, facilitating personalized care plans. The integration of AI-powered analytics further enhances the predictive capabilities of these kits, allowing healthcare providers to anticipate respiratory complications and take proactive measures. As the burden of ALS continues to rise, the demand for advanced, user-friendly, and accurate respiratory tracking solutions is expected to witness significant growth.

Technological advancements play a pivotal role in the expansion of the Digital ALS Respiratory Decline Tracking Kit market. The advent of Bluetooth-enabled and cloud-based devices has enabled seamless data transmission and remote access to patient health records. Mobile applications integrated with these kits provide patients and caregivers with real-time feedback, reminders, and educational resources, improving adherence to monitoring protocols. Furthermore, the use of AI-powered algorithms in respiratory tracking kits not only enhances diagnostic accuracy but also supports clinical decision-making by identifying subtle patterns of decline that may be missed during routine check-ups. The convergence of telemedicine and digital health solutions, especially in the wake of the COVID-19 pandemic, has accelerated the adoption of these technologies, making respiratory monitoring more accessible and efficient for ALS patients worldwide.

Another significant growth driver is the increasing support from healthcare organizations, research institutes, and government bodies. Funding initiatives aimed at improving ALS care and advancing research into neurodegenerative diseases have spurred innovation in digital health tools. Collaborations between medical device manufacturers, technology companies, and academic institutions have resulted in the development of integrated monitoring systems that combine multiple functionalities, such as spirometry, pulse oximetry, and symptom tracking, into a single platform. These integrated solutions not only simplify the monitoring process for patients but also provide comprehensive data sets for clinicians and researchers, facilitating better understanding of disease progression and treatment efficacy. As patient-centric care models gain prominence, the adoption of digital ALS respiratory decline tracking kits is expected to become an integral part of personalized healthcare strategies.

Regionally, North America holds the largest share in the Digital ALS Respiratory Decline Tracking Kit market, attributed to high healthcare expenditure, advanced medical infrastructure, and strong presence of key market players. Europe follows closely, driven by robust research activities and favorable reimbursement policies. The Asia Pacific region is emerging as a lucrative market, fueled by increasing awareness, rising healthcare investments, and expanding digital health ecosystems. Latin America and Middle East & Africa are also witnessing gradual adoption, supported by improving healthcare access and growing focus on digital transformation in healthcare. The regional outlook for this market remains positive, with each region contributing uniquely to the overall growth trajectory.

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.

The Decline of U.S. Natural Gas Exports: What Does It Mean for the World?

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