The Nasdaq Composite index fell by approximately 2,400 points in the four weeks from February 12 to March 11, 2020, but has since recovered, peaking at over 18,647 points on July 10, 2024. In February 2020 - just prior to the global coronavirus (COVID-19) pandemic, the Nasdaq Composite index stood at a little over 9,700 points. In February 2020 - just prior to the global coronavirus (COVID-19) pandemic, the Nasdaq Composite index stood at a little over 9,700 points. Coronavirus concerns escalate The World Health Organization declared the coronavirus outbreak as a global pandemic in March 2020, setting the Dow Jones Industrial Average, the S&P 500, and other market indexes up for significant losses. With the stock markets destabilized, traders opted to sell their shares and were prepared to wait before investing in stocks again. Investors would have felt more confident if there were signs that the virus was being contained, but the number of cases continued to rise.
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Graph and download economic data for NASDAQ Composite Index (NASDAQCOM) from 1971-02-05 to 2025-06-30 about NASDAQ, composite, stock market, indexes, and USA.
The Nasdaq 100 index fell by approximately 2,600 points in the five weeks from February 19 to March 18, 2020, but has since recovered to 20,884.41 points as of February 28, 2025. In February 2020 - just prior to the global coronavirus (COVID-19) pandemic, the Nasdaq 100 index stood at approximately 9,600 points. In fact, the Nasdaq 100 index attained its highest value, exceeding 22,114 points, on February 14, 2025.
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Interactive chart of the NASDAQ Composite stock market index since 1971. Historical data is inflation-adjusted using the headline CPI and each data point represents the month-end closing value. The current month is updated on an hourly basis with today's latest value.
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The main stock market index of United States, the US500, rose to 6211 points on July 1, 2025, gaining 0.10% from the previous session. Over the past month, the index has climbed 4.64% and is up 12.75% compared to the same time last year, 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 July of 2025.
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Graph and download economic data for NASDAQ 100 Index (NASDAQ100) from 1986-01-02 to 2025-06-27 about NASDAQ, stock market, indexes, and USA.
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.
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Interactive chart of the NASDAQ Composite stock market index over the last 10 years. Values shown are daily closing prices. The most recent value is updated on an hourly basis during regular trading hours.
Between March 2020 and August 2024, four of the biggest one-day losses on the Nasdaq Composite Index occurred in the first half of 2020. The worst day was March 16, 2020, when the index fell by 12.32 percent. The 25 worst days in terms of losses were spread across 2020 and 2022. This index includes the Big Five tech giants - Apple, Amazon, Alphabet (Google), Meta, and Microsoft - as well as many other technology-focused companies.
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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.
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Interactive chart showing the annual percentage change of the NASDAQ Composite Index back to 1972. Performance is calculated as the % change from the last trading day of each year from the last trading day of the previous year.
The annual returns of the Nasdaq 100 Index from 1986 to 2024. fluctuated significantly throughout the period considered. The Nasdaq 100 index saw its lowest performance in 2008, with a return rate of ****** percent, while the largest returns were registered in 1999, at ****** percent. As of June 11, 2024, the rate of return of Nasdaq 100 Index stood at ** percent. The Nasdaq 100 is a stock market index comprised of the 100 largest and most actively traded non-financial companies listed on the Nasdaq stock exchange. How has the Nasdaq 100 evolved over years? The Nasdaq 100, which was previously heavily influenced by tech companies during the dot-com boom, has undergone significant diversification. Today, it represents a broader range of high-growth, non-financial companies across sectors like consumer services and healthcare, reflecting the evolving landscape of the global economy. The annual development of the Nasdaq 100 recently has generally been positive, except for 2022, when the NASDAQ experienced a decline due to worries about escalating inflation, interest rates, and regulatory challenges. What are the leading companies on Nasdaq 100? In August 2023, ***** was the largest company on the Nasdaq 100, with a market capitalization of **** trillion euros. Also, ****************************************** were among the five leading companies included in the index. Market capitalization is one of the most common ways of measuring how big a company is in the financial markets. It is calculated by multiplying the total number of outstanding shares by the current market price.
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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
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.
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This dataset contains historical daily prices for all tickers currently trading on NASDAQ. The up to date list is available from nasdaqtrader.com. The historic data is retrieved from Yahoo finance via yfinance python package.
It contains prices for up to 01 of April 2020. If you need more up to date data, just fork and re-run data collection script also available from Kaggle.
The date for every symbol is saved in CSV format with common fields:
All that ticker data is then stored in either ETFs or stocks folder, depending on a type. Moreover, each filename is the corresponding ticker symbol. At last, symbols_valid_meta.csv
contains some additional metadata for each ticker such as full name.
Get Nasdaq real-time and historical data with support for fast market replay at over 19 million book updates per second. Test our data for free with only 4 lines of code.
Nasdaq TotalView-ITCH is a proprietary data feed that disseminates full order book depth and last sale data from the Nasdaq stock market (XNAS). It delivers every quote and order at each price level, along with any event that updates the order book after an order is placed, such as trade executions, modifications, or cancellations. Nasdaq is the most active US equity exchange by volume and represented 13.03% of the average daily volume (ADV) as of January 2025.
With its L3 granularity, Nasdaq TotalView-ITCH captures information beyond the L1, top-of-book data available through SIP feeds and enables more accurate modeling of book imbalances, trade directionality, quote lifetimes, and more. This includes explicit trade aggressor side, odd lots, auction imbalance data, and the Net Order Imbalance Indicator (NOII) for the Nasdaq Opening and Closing Crosses and Nasdaq IPO/Halt Cross—the best predictor of Nasdaq opening and closing prices available. Other key advantages of Nasdaq TotalView-ITCH over SIP data include faster real-time dissemination and precise exchange-side timestamping directly from Nasdaq.
Real-time Nasdaq TotalView-ITCH data is included with a Plus or Unlimited subscription through our Databento US Equities service. Historical data is available for usage-based rates or with any subscription. Visit our pricing page for more details or to upgrade your plan.
Breadth of coverage: 20,329 products
Asset class(es): Equities
Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
Supported data encodings: DBN, CSV, JSON Learn more
Supported market data schemas: MBO, MBP-1, MBP-10, BBO-1s, BBO-1m, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics, Status, Imbalance Learn more
Resolution: Immediate publication, nanosecond-resolution timestamps
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Graph and download economic data for CBOE NASDAQ 100 Volatility Index (VXNCLS) from 2001-02-02 to 2025-06-27 about VIX, volatility, stock market, and USA.
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Graph and download economic data for Dow Jones Industrial Average (DJIA) from 2015-07-01 to 2025-06-30 about stock market, average, industry, and USA.
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United States - NASDAQ 100 was 20915.65000 Index in May of 2025, according to the United States Federal Reserve. Historically, United States - NASDAQ 100 reached a record high of 22175.60000 in February of 2025 and a record low of 128.43000 in October of 1987. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - NASDAQ 100 - last updated from the United States Federal Reserve on May of 2025.
The Nasdaq Composite Index increased overall following the global financial crisis of 2008. In 2022, the closing year-end value of the Nasdaq Composite Index was 10,466.48, a significant decrease compared to 2021. In the following years, however, the Index recovered and grew, closing at 19,310.79 points as of December 31, 2024.
The Nasdaq Composite index fell by approximately 2,400 points in the four weeks from February 12 to March 11, 2020, but has since recovered, peaking at over 18,647 points on July 10, 2024. In February 2020 - just prior to the global coronavirus (COVID-19) pandemic, the Nasdaq Composite index stood at a little over 9,700 points. In February 2020 - just prior to the global coronavirus (COVID-19) pandemic, the Nasdaq Composite index stood at a little over 9,700 points. Coronavirus concerns escalate The World Health Organization declared the coronavirus outbreak as a global pandemic in March 2020, setting the Dow Jones Industrial Average, the S&P 500, and other market indexes up for significant losses. With the stock markets destabilized, traders opted to sell their shares and were prepared to wait before investing in stocks again. Investors would have felt more confident if there were signs that the virus was being contained, but the number of cases continued to rise.