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.

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.

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!

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.

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.

Stock Market Analysis of S&P 500 from it's Founding / Listing Years which is 1985 to 2022

Data Dictionary

About S&P 500

The Standard and Poor's 500 or S&P 500 is the most famous financial benchmark in the world. This stock market index tracks the performance of 500 large companies listed on stock exchanges in the United States. As of December 31, 2020, more than $5.4 trillion was invested in assets tied to the performance of this index. Because the index includes multiple classes of stock of some constituent companies—for example, Alphabet's Class A (GOOGL) and Class C (GOOG)—there are actually 505 stocks in the gauge.

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The main stock market index of United States, the US500, rose to 6818 points on December 2, 2025, gaining 0.08% from the previous session. Over the past month, the index has declined 0.50%, though it remains 12.70% higher than a year ago, 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 December of 2025.

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 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.

About Dataset:

This dataset includes the daily historical stock prices for Google (GOOGL) spanning from 2020 to 2025. It features essential financial metrics such as opening and closing prices, daily highs and lows, adjusted close prices, and trading volumes. The information offers valuable insights into the stock's performance over a five-year timeframe.

Column Descriptions:

• Price: Date of the stock data (needs cleaning as the first two rows are headers).
• Adj Close: Adjusted closing price, accounting for events like dividends and splits.
• Close: Closing price of the stock at the end of the trading day.
• High: Highest price of the stock during the trading day.
• Low: Lowest price of the stock during the trading day.
• Open: Opening price of the stock at the start of the trading day.
• Volume: Number of shares traded during the day.

What Can You Achieve and Apply on This Data:

• Time Series Analysis: Examine trends and patterns over time.
• Stock Price Prediction: Use machine learning models to forecast future prices.
• Volatility Analysis: Measure the stock's price fluctuations.
• Technical Analysis: Calculate indicators like moving averages, RSI, and MACD.
• Correlation Analysis: Investigate the relationship between volume and price changes.
• Investment Strategy Backtesting: Test trading strategies like moving average crossovers.

Note: 1. This data is scraped from Yahoo Finance by me using python code. 2. Some of the About Data is generated from AI, but verified from me.

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 !!!

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!

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.

As of August 2020, the S&P 500 index had lost ** percent of its value due to the COVID-19 pandemic. However, the Great Crash, which began with Black Tuesday, remains the most significant loss in value in its history. That market crash lasted for 300 months and wiped ** percent off the index value.

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…

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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

Indonesia's main stock market index, the JCI, rose to 8617 points on December 2, 2025, gaining 0.80% from the previous session. Over the past month, the index has climbed 4.13% and is up 19.75% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Indonesia. Indonesia Stock Market (JCI) - values, historical data, forecasts and news - updated on December of 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 ** 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.

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/