Many of the big winners included in the S&P 500 index from 2020 are companies firmly rooted in the technology sector. The obvious big winner is Tesla, whose share price increased by *** times for a variety of reasons. While the increase in Tesla stocks (arguably) does not have a direct connection to the global coronavirus (COVID-19) pandemic, a look at many of the other companies in this list indicates a clear link. Online retailers such as Amazon and Etsy saw large increases in their stock price, along with companies who provide crucial parts of infrastructure necessary for online shopping such as PayPal and FedEx. Given the closure of brick and mortar stores in many parts of the world due to the pandemic, the causation here is evident. Similarly, computer chip manufactures NVIDIA and AMD saw returns of 100 percent or more, likely due both to the shift to remote working necessitated by the pandemic, as well as the global increase in playing video games resulting from the unavailability of many other activities.

Everyone has looked at the stock market so I wasn't expecting to get excited about looking for patterns. But it's a good practice set to develop skills and learn new models. After working through a deep learning model, trying to predict the best-performing stocks of the next day, my most sophisticated model regressed toward the mean. I mean the exact mean. I was working with 446 stocks, training a model on the prior 30 days, and making a prediction on the next day. My model returned what it thought would be the best performing ten stocks, that I would then compare against the actual best performers. I ran the train/predict over 200 days, using six dense layers of 1,000 nodes on 100 epochs with EarlyStopping. When I calculated the mean of the predicted best 10's actual score, it was 223.04. I learned from this exercise that the yahoo data isn't predictive at the day-to-day scale and my best model was just flipping a coin. The Random Walk Hypothesis is the best explanation.

That's when I turned to another technique to try and make sense of the data. I had an intuitive hunch that when a stock starts to dive, there is an emotionally charged reaction, an irrational over-reaction, which will lead to a predictable rebound. Because my Keras model failed to produce results, I decided to spend some time answering the question: Is there a rebound after a dive? This isn't a complicated modeling technique. Instead of using data to predict an event, we choose an identifiable event and follow its performance forward. I chose the day's worst dive, but you could look for stocks that have consecutive days of growth, the day's best performer, stocks that lose 20% of their value over a 5 trading-day period, etc. Pick an event that you can define and describe and then look for it in the historical data. Look at your subset's performance against the rest of the market (ideally over the exact time window) and see if you can beat my 10X market growth!

I called my subset Unicorns because there were only 45 out of 1.3M records. They don't happen that often and nearly half lost value. But as a group, they showed a dependable rebound 10 and 20 days after the event. The most recent Unicorn was flagged on 4/14/21. Discovery (DISCA) was wrapped up in the Archegos bubble where this guy lost $20B in two days. Because it lost over half its value in the bubble, its relatively mild decline three weeks later put it in the Unicorn group. I'm not advocating a risky investment in a particular stock. Certainly, this one is unique because of its participation in an acute bubble. But the historical peers of this stock make it worth watching and doing some follow-up.

I have to give a shout-out to Bryan B. who continued to press at each dead end. The rebound isn't significant among all stocks, and he prompted the interest in comparing relative volatility. Special thanks to Ludo A. for playing mentor while I learned to code in Python. Happy pattern hunting!

As of November 14, 2021, all S&P 500 sector indices had recovered to levels above those of January 2020, prior to full economic effects of the global coronavirus (COVID-19) pandemic taking hold. However, different sectors recovered at different rates to sit at widely different levels above their pre-pandemic levels. This suggests that the effect of the coronavirus on financial markets in the United States is directly affected by how the virus has impacted various parts of the underlying economy. Which industry performed the best during the coronavirus pandemic? Companies operating in the information technology (IT) sector have been the clear winners from the pandemic, with the IT S&P 500 sector index sitting at almost ** percent above early 2020 levels as of November 2021. This is perhaps not surprising given this industry includes some of the companies who benefitted the most from the pandemic such as ************** and *******. The reason for these companies’ success is clear – as shops were shuttered and social gatherings heavily restricted due to the pandemic, online services such shopping and video streaming were in high demand. The success of the IT sector is also reflected in the performance of global share markets during the coronavirus pandemic, with tech-heavy NASDAQ being the best performing major market worldwide. Which industry performed the worst during the pandemic? Conversely, energy companies fared the worst during the pandemic, with the S&P 500 sector index value sitting below its early 2020 value as late as July 2021. Since then it has somewhat recovered, and was around ** percent above January 2020 levels as of October 2021. This reflects the fact that many oil companies were among the share prices suffering the largest declines over 2020. A primary driver for this was falling demand for fuel in line with the reduction in tourism and commuting caused by lockdowns all over the world. However, as increasing COVID-19 vaccination rates throughout 2021 led to lockdowns being lifted and global tourism reopening, demand has again risen - reflected by the recent increase in the S&P 500 energy index.

Some of the most sought-after stocks come with a hefty price tag and many of us equate value with price. The higher the price, the more valuable and, therefore, the more desirable a company becomes. The average investor may not be able to afford a single share of the highest prices stocks from the following companies.

But remember, a high stock price in and of itself does not equal a company's total market value - that is determined by the market capitalization or the number of shares outstanding multiplied by the share price. A company's stock price is not useful without knowing how many shares there are. For instance, a company with ten shares at $1 million each would certainly have a high share price, giving a total value of $10 million. Another company may have ten million shares at just $200 a piece, but it would be worth $2 billion.

Retail investors need to know which stocks may be difficult to trade because of their high per-share price. It's also worth noting that not all brokers offer their clients the option to purchase fractional shares, making even these high-flyers accessible.

Here's a list of the top five highest-priced stocks that trade in the US, in the last decade, excluding those sold only on over-the-counter (OTC) markets.

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.

Amazon.com, Inc. was the best performer in the Dow Jones Industrial Average (DJIA) index in the fourth quarter of 2024. Over that period, its stock price rose more than **** percent. In 2020, most companies lost value in the first quarter as a result of the COVID-19 pandemic, but had largely recovered by the mid-year point. What is the DJIA? The DJIA is an index of 30 leading companies in the United States. Founded it 1885, it is one of the most indicators of sentiments on the financial markets. Many analysts follow indices such as the DJIA or the S&P 500 on a monthly or daily basis to have a better idea of how the stock market is doing at a given moment. The benefit of tracking markets The business cycle refers to the idea that the economy goes through a cyclic process of expansion and contraction. Stock market indices such as the DJIA can provide information on the timing of the next contraction, or recession. Investors try to use this and other data to predict the performance of sectors, or even single stocks. Of course, there is always a risk of choosing the stocks which don’t perform well.

Comprehensive daily stock market data for 21 major S&P 500 companies across diverse sectors from 2020 to 2024.

This dataset contains daily stock data for 21 prominent companies in the S&P 500 index from January 1, 2020, to December 31, 2024. Covering a range of sectors including Technology, Healthcare, Energy, Financials, Consumer, Industrials, and Cloud/Software, this dataset offers a diverse view of market trends and performance over a five-year period.

Features Include:

Date: The trading day. Open: Opening price of the stock. High: Highest price during the trading day. Low: Lowest price during the trading day. Close: Closing price of the stock. Volume: Number of shares traded. Ticker: Stock symbol representing the company.

Sectors Covered:

Technology & AI: Apple (AAPL), Microsoft (MSFT), Alphabet (GOOGL), Amazon (AMZN), NVIDIA (NVDA), Taiwan Semiconductor (TSM). Healthcare: Johnson & Johnson (JNJ), UnitedHealth Group (UNH), Eli Lilly (LLY). Energy: ExxonMobil (XOM), NextEra Energy (NEE). Financial: JPMorgan Chase (JPM), Visa (V), BlackRock (BLK). Consumer: Walmart (WMT), Costco (COST), Procter & Gamble (PG). Industrial: Caterpillar (CAT), Honeywell (HON). Software/Cloud: Salesforce (CRM), ASML Holding (ASML).

This dataset is ideal for financial analysts, data scientists, and machine learning enthusiasts interested in exploring stock market trends, building predictive models, or conducting sector-based analysis over a significant time span.

Data Source: Retrieved using Yahoo Finance API, ensuring accuracy and reliability.

Usage: This dataset can be used for time-series analysis, machine learning predictions, financial modeling, and comparative studies across different sectors.

Feel free to download and explore the data, and share your findings with the community!

View monthly updates and historical trends for S&P 500 Monthly Return. from United States. Source: Standard and Poor's. Track economic data with YCharts a…

The value of the DJIA index amounted to ****** at the end of June 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.

Context

According to Investopedia:

FAANG is an acronym referring to the stocks of the five most popular and best-performing American technology companies: Facebook, Amazon, Apple, Netflix and Alphabet (formerly known as Google). In addition to being widely known among consumers, the five FAANG stocks are among the largest companies in the world, with a combined market capitalization of over $4.1 trillion as of January 2020. Some have raised concerns that the FAANG stocks may be in the midst of a bubble, whereas others argue that their growth is justified by the stellar financial and operational performance they have shown in recent years.

Regardless of the myriad of accolades, comments, and even controversies surrounding the FAANG stocks, they are nevertheless a data science/mining treasure and the bellwether of the NASDAQ index, if not the entire US technology sector.

This Kaggle dataset contains over 20 years of daily historical data for the five FAANG constituents, as retrieved from this free stock API. It is a public-domain dataset that gives the data science practitioners (a.k.a., you!) the full flexibility to derive second-order insights and investment heuristics from it.

Content

Over 20 years of daily historical data (2000-01-01 to 2020-10-01) for the five FAANG stocks: Facebook, Amazon, Apple, Netflix, and Alphabet/Google. For completeness, both raw and adjusted prices are included, along with historical split events and dividend payouts (check out here for how stock market API providers perform price adjustments).

Acknowledgements

Data source: https://www.alphavantage.co/

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.

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Mastercard Inc. (stylized as MasterCard from 1979 to 2016 and MasterCard since 2016) is an American multinational financial services corporation headquartered in the Mastercard International Global Headquarters in Purchase, New York. The Global Operations Headquarters is located in O'Fallon, Missouri, a municipality of St. Charles County, Missouri. Throughout the world, its principal business is to process payments between the banks of merchants and the card-issuing banks or credit unions of the purchasers who use the "Mastercard" brand debit, credit, and prepaid cards to make purchases. Mastercard Worldwide has been a publicly traded company since 2006. Prior to its initial public offering, Mastercard Worldwide was a cooperative owned by the more than 25,000 financial institutions that issue its branded cards.

Mastercard, originally known as Interbank from 1966 to 1969 and Master Charge from 1969 to 1979, was created by an alliance of several regional bank card associations in response to the BankAmericard issued by Bank of America, which later became the Visa credit card issued by Visa Inc.

Mastercard is one of the best performing stocks of the decade of 2011-2020

The market for the halal food and beverage industry sector has experienced rapid growth in recent years, which indicate excellent investment opportunities. This paper examine the effect of Technical Efficiency (TE) on firm value in 5 selected influential countries in halal food and beverage sector based on Global Islamic Economy Report 2020. Two steps estimation was used to run the data, using the Stochastic Frontier Analysis (SFA) model to determine the company’s TE and panel data to test the effect of TE through firm value. The results show that Indonesia has the highest score for TE (62%), followed by Pakistan (59%), South Africa (57%), Malaysia (55%), and Singapore (52%), which means, in general, there is inefficiency in allocating resources over 38% up to 48% and needs to be improved by halal food and beverage companies in. Regarding panel data, all countries sample except Pakistan highlight that TE significantly affect company value. It indicates that the crucial part of managing efficiency can be a sign in stock market performance. The result shows that company managers should set efficiency strategies to their business process for creating sustainability and increase their value in the capital market. As for investors, this TE can be used as an indicator before choosing company stocks; if the company is efficient, then it is worthy of being one of the portfolio assets. Form the government side, the finding can help them to set appropriate policy setting to boost halal food and beverages industry such as giving subsidy or incentive to increase the efficiency ability of halal food and beverage companies and identify the industry’s strength by comparing the result of TE between 5 countries.

Content

It's a time series dataset of SP500.
The S&P 500, or simply the S&P, is a stock market index that measures the stock performance of 500 large companies listed on stock exchanges in the United States. It is one of the most commonly followed equity indices, and many consider it to be one of the best representations of the U.S. stock market.

Date: Date of the Stock Data Close/Last: Last close price of the company's shares on the relevant stock exchange Volume: Number of shares sold, traded over a certain period of time (Usually Daily) Open: Opening price of company's shares High: Highest price at which a stock traded during the trading day Low: Lowest price at which a stock traded during the trading day

Inspiration

Perform time series analysis concept on real world scenario and forecast future stock price on real world data and gain some knowledge.
Have a fun !!!

The price of Tesla shares traded on the Nasdaq stock exchange remained rather stable between July 2010 and January 2020. With the beginning of 2020, the price of Tesla shares increased dramatically and stood at 381.59 U.S. dollars per share in November 2021. Since then, the price of Tesla shares has fluctuated significantly and reached its peak at 444.72 U.S. dollars per share in September 2025. Why did Tesla's stock value go up in 2020? Despite the effects of the pandemic, Tesla share prices experienced a massive increase in 2020. Tesla kept increasing its output levels throughout the year, except for the second quarter, and released its new vehicle, the Tesla Model Y. Additionally, when the company was added to the S&P 500 index in December 2020, it instilled further trust in investors. In 2020, Tesla was the top-performing stock on the S&P 500 index, and two years later, in 2024, it ranked among the ten largest companies on the index by market capitalization. Steady growth in the last decade Founded in 2003, Tesla primarily focuses on designing and producing electric vehicles, as well as energy generation and storage systems. Since then, Tesla's revenue has steadily increased, reaching nearly 98 billion U.S. dollars in 2024. Most of the revenue came from automotive sales in 2024. Tesla's first electric car, the Roadster, was sold between 2008 and 2012. Currently, the company offers four primary electric vehicles: Model 3, Model Y, Model S, and Model X.

Stock Price Time Series for Aedifica. Aedifica is a Regulated Real Estate Company under Belgian law specialised in European healthcare real estate, particularly in elderly care. Aedifica has developed a portfolio of more than 610 sites in Belgium, Germany, the Netherlands, the United Kingdom, Finland, Ireland and Spain, worth nearly Euro 6.2 billion. Aedifica is listed on Euronext Brussels (2006) and Euronext Amsterdam (2019) and is identified by the following ticker symbols: AED; AED:BB (Bloomberg); AOO.BR (Reuters). Since 2020, Aedifica has been part of the BEL 20, Euronext Brussels leading share index. Moreover, since 2023, Aedifica has been part of the BEL ESG, the index tracking companies that perform best on ESG criteria. Aedifica is also included in the EPRA, Stoxx Europe 600 and GPR indices. Aedifica market capitalisation was approx. Euro 3.0 billion as at 25 September 2025.

United Kingdom's main stock market index, the GB100, fell to 9690 points on December 2, 2025, losing 0.13% from the previous session. Over the past month, the index has declined 0.12%, though it remains 15.91% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from United Kingdom. United Kingdom Stock Market Index (GB100) - values, historical data, forecasts and news - updated on December of 2025.

FAANG

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• FAANG is an acronym referring to the stocks of the five most popular and best-performing American technology companies: Meta (formerly known as Facebook), Amazon, Apple, Netflix, and Alphabet (formerly known as Google).

• In addition to being widely known among consumers, the five FAANG stocks are among the largest companies in the world, with a combined market capitalization of nearly $7.1 trillion as of Aug. 19, 2021.

• Some have raised concerns that the FAANG stocks may be in the midst of a bubble, whereas others argue that their growth is justified by the stellar financial and operational performance they have shown in recent years.

Each of the FAANG stocks trades on the Nasdaq exchange and is included in the S&P 500 Index. Since the S&P 500 is a broad representation of the market, the movement of the market mirrors the index's movement. As of August 2021, the FAANGs make up about 19% of the S&P 500—a staggering figure considering the S&P 500 is generally viewed as a proxy for the United States economy as a whole.

This large influence over the index means that volatility in the stock price of the FAANG stocks can have a substantial effect on the performance of the S&P 500 in general. In August 2018, for example, FAANG stocks were responsible for nearly 40% of the index’s gain from the lows reached in February 2018.

What Makes FAANG Stocks So Popular?

• The five stocks that make up the “FAANG” acronym - Meta (FB), Amazon (AMZN), Apple (AAPL), Netflix (NFLX), and Alphabet (GOOG) are all well-known brands among consumers. But they are also famous for their remarkable growth in recent years, with market capitalizations ranging from $240 billion (in the case of Netflix)3 to $2.4 trillion (in the case of Apple), as of August 2021.

• From an investment perspective, these five stocks are generally praised for their stellar historical track records and clear leadership positions within their industries.

Datset Information

The dataset consists of the historical stock prices of the FAANG companies. The dataset has been cleaned and uploaded for easy use and analysis.

• Google Class A(GOOGL) consists of 4340 data records of stock prices starting from 20/08/2004 to date(11/11/2021)
• Google Class C(GOOG) consists of 1924 records of GOOG stocks starting from 28/03/2004 to date.
• Apple (AAPL) consists of 10319 records starting from 12/12/1980 to date
• Amazon(AMZN) consists of 6167 records starting from 15/5/1997 to date
• Meta(FB) consists of 2389 records from 18/05/2012 records to date
• Netflix(NFLX) consists of 4904 records from 24/05/2002 to date

Note:

You might find two different types of google stocks GOOGL and GOOG in the dataset.

• GOOGL

  • GOOGL shares are categorized as Class A shares. Class A shares are known as common shares. They give investors an ownership stake and, typically, voting rights. They are the most common type of shares.

• GOOG

  • GOOG shares are the company's Class C shares. Class C shares give stockholders an ownership stake in the company, just like Class A shares, but unlike common shares, they do not confer voting rights to shareholders.

Class A: Held by a regular investor with regular voting rights (GOOGL) Class B: Held by the founders with 10 times the voting power compared to Class A Class C: No voting rights, normally held by employees and some Class A stockholders (GOOG)

Inspiration

• Annual growth rate of FAANG companies
• Forecast the growth rate of FAANG companies in the next ten years
• Exploratory data analysis

Stock-Based-Compensation Time Series for Aedifica. Aedifica is a Regulated Real Estate Company under Belgian law specialised in European healthcare real estate, particularly in elderly care. Aedifica has developed a portfolio of approx. 615 sites in Belgium, Germany, the Netherlands, the United Kingdom, Finland, Ireland and Spain, worth approx. 6.2 billion. Aedifica has been quoted on Euronext Brussels (regulated market) since 2006 and is identified by the following ticker symbols: AED; AED:BB (Bloomberg); AOO.BR (Reuters). Since 2020, Aedifica has been part of the BEL 20, Euronext Brussels leading share index. Moreover, since 2023, Aedifica has been part of the BEL ESG, the index tracking companies that perform best on ESG criteria. It is also included in the EPRA, Stoxx Europe 600 and GPR indices. Its market capitalisation was approx. 3.0 billion as at 31 October 2025.

As of July 2025, the Hang Seng Index at the Hong Kong Exchange amounted to ******** points. After the outbreak of COVID-19, the index dropped as part of a broader Pan-Asian trend. However, by the end of 2020, when the pandemic situation stabilized in many countries and news about a vaccine rollout came out, the Hang Seng Index recovered and recorded significant increases every month. Index composition The Hang Seng Index is the most prominent indicator of stock performance on the Hong Kong Exchange. By including the 50 largest companies, the index represents the market movements of more than half of the bourse’s market capitalization. In addition to that, the Hang Seng Index has numerous smaller indices which mirror smaller industries or market sections. The Hang Seng Composite Index One example of a sub-index is the Hang Seng Composite Index. It reflects the performance of the top 95 percentile of the total market capitalization. The financial industry accounted for the largest share of companies included in the index, followed by the information technology sector. Prominent companies represented in the index are Tencent, AIA, and Meituan.