All data acquired on December 11th 2023

1) Ticker: Stock symbol identifying the company.

2) Company: Name of the company.

3) Sector: Industry category to which the company belongs.

4) Industry: Specific sector or business category of the company.

5) Country: Country where the company is based.

6) Market Cap: Total market value of a company's outstanding shares.

7) Price: Current stock price.

8) Change (%): Percentage change in stock price.

9) Volume: Number of shares traded.

10) Price to Earnings Ratio: Ratio of stock price to earnings per share.

11) Price to Earnings: Price-to-earnings ratio based on past earnings.

12) Forward Price to Earnings: Expected price-to-earnings ratio.

13) Price/Earnings to Growth: Ratio of P/E to earnings growth.

14) Price to Sales: Ratio of stock price to annual sales.

15) Price to Book: Ratio of stock price to book value.

16) Price to Cash: Ratio of stock price to cash per share.

17) Price to Free Cash Flow: Ratio of stock price to free cash flow.

18) Earnings Per Share This Year (%): Percentage change in earnings per share for the current year.

19) Earnings Per Share Next Year (%): Percentage change in earnings per share for the next year.

20) Earnings Per Share Past 5 Years (%): Percentage change in earnings per share over the past 5 years.

21) Earnings Per Share Next 5 Years (%): Estimated percentage change in earnings per share over the next 5 years.

22) Sales Past 5 Years (%): Percentage change in sales over the past 5 years.

23) Dividend (%): Dividend yield as a percentage of the stock price.

24) Return on Assets (%): Percentage return on total assets.

25) Return on Equity (%): Percentage return on shareholder equity.

26) Return on Investment (%): Percentage return on total investment.

27) Current Ratio: Ratio of current assets to current liabilities.

28) Quick Ratio: Ratio of liquid assets to current liabilities.

29) Long-Term Debt to Equity: Ratio of long-term debt to shareholder equity.

30) Debt to Equity: Ratio of total debt to shareholder equity.

31) Gross Margin (%): Percentage difference between revenue and cost of goods sold.

32) Operating Margin (%): Percentage of operating income to revenue.

33) Profit Margin: Percentage of net income to revenue.

34) Earnings: Net income of the company.

35) Outstanding Shares: Total number of shares issued by the company.

36) Float: Tradable shares available to the public.

37) Insider Ownership (%): Percentage of company owned by insiders.

38) Insider Transactions: Recent insider buying or selling activity.

39) Institutional Ownership (%): Percentage of company owned by institutional investors.

40) Float Short (%): Percentage of tradable shares sold short by investors.

41) Short Ratio: Number of days it would take to cover short positions.

42) Average Volume: Average number of shares traded daily.

43) Performance (Week) (%): Weekly stock performance percentage.

44) Performance (Month) (%): Monthly stock performance percentage.

45) Performance (Quarter) (%): Quarterly stock performance percentage.

46) Performance (Half Year) (%): Semi-annual stock performance percentage.

47) Performance (Year) (%): Annual stock performance percentage.

48) Performance (Year to Date) (%): Year-to-date stock performance percentage.

49) Volatility (Week) (%): Weekly stock price volatility percentage.

50) Volatility (Month) (%): Monthly stock price volatility percentage.

51) Analyst Recommendation: Analyst consensus recommendation on the stock.

52) Relative Volume: Volume compared to the average volume.

53) Beta: Measure of stock price volatility relative to the market.

54) Average True Range: Average price range of a stock.

55) Simple Moving Average (20) (%): Percentage difference from the 20-day simple moving average.

56) Simple Moving Average (50) (%): Percentage difference from the 50-day simple moving average.

57) Simple Moving Average (200) (%): Percentage difference from the 200-day simple moving average.

58) Yearly High (%): Percentage difference from the yearly high stock price.

59) Yearly Low (%): Percentage difference from the yearly low stock price.

60) Relative Strength Index: Momentum indicator measuring the speed and change of price movements.

61) Change from Open (%): Percentage change from the opening stock price.

62) Gap (%): Percentage difference between the previous close and the current open price.

63) Volume: Total number of shares traded.

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.

Context

Nvidia Corporation is one of the largest developers of graphics processors and chipsets for personal computers and game consoles. The head office is in Santa Clara, California. NVIDIA Corporation does not have its own manufacturing facilities and therefore works according to the fabless principle.

The company was founded in January 1993 by Jen-Hsun Huang, Curtis Priem and Chris Malachowsky. In May 1995, Nvidia launched the NV1 (STG-2000), one of the first 3D accelerator processors (GPU). In January 1999, Nvidia was included in the NASDAQ (NVDA) and delivered the ten millionth graphics chip in the same year. In the Forbes Global 2000 of the world's largest companies, Nvidia ranks 572 (as of: 2017 financial year). The company had a market value of approximately US $155 billion in mid-2018.

Market cap: $4.400 Trillion USD

As of August 2025 NVIDIA has a market cap of $4.400 Trillion USD. This makes NVIDIA the world's most valuable company by market cap according to our data. The market capitalization, commonly called market cap, is the total market value of a publicly traded company's outstanding shares and is commonly used to measure how much a company is worth.

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Content

Geography: USA

Time period: Jan 1999- August 2025

Unit of analysis: NVIDIA Stock Data 2025

Variables

Acknowledgements

This dataset belongs to me. I’m sharing it here for free. You may do with it as you wish.

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Japan's main stock market index, the JP225, rose to 49553 points on December 2, 2025, gaining 0.51% from the previous session. Over the past month, the index has declined 3.78%, though it remains 26.25% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Japan. Japan Stock Market Index (JP225) - values, historical data, forecasts and news - updated on December of 2025.

Does president Trump’s use of Twitter affect financial markets? The president frequently mentions companies in his tweets and, as such, tries to gain leverage over their behavior. We analyze the effect of president Trump’s Twitter messages that specifically mention a company name on its stock market returns. We find that tweets from the president which reveal strong negative sentiment are followed by reduced market value of the company mentioned, whereas supportive tweets do not render a significant effect. Our methodology does not allow us to conclude about the exact mechanism behind these findings and can only be used to investigate short-term effects.

This dataset includes various economic indicators such as stock market performance, inflation rates, GDP, interest rates, employment data, and housing index, all of which are crucial for understanding the state of the economy. By analysing this dataset, one can gain insights into the causes and effects of past recessions in the US, which can inform investment decisions and policy-making.

There are 20 columns and 343 rows spanning 1990-04 to 2022-10

The columns are:

1. Price: Price column refers to the S&P 500 lot price over the years. The S&P 500 is a stock market index that measures the performance of 500 large companies listed on stock exchanges in the United States. This variable represents the value of the S&P 500 index from 1980 to present. Industrial Production: This variable measures the output of industrial establishments in the manufacturing, mining, and utilities sectors. It reflects the overall health of the manufacturing industry, which is a key component of the US economy.

2. INDPRO: Industrial production measures the output of the manufacturing, mining, and utility sectors of the economy. It provides insights into the overall health of the economy, as a decline in industrial production can indicate a slowdown in economic activity. This data can be used by policymakers and investors to assess the state of the economy and make informed decisions.

3. CPI: CPI stands for Consumer Price Index, which measures the change in the prices of a basket of goods and services that consumers purchase. CPI inflation represents the rate at which the prices of goods and services in the economy are increasing.

4. Treasure Bill rate (3 month to 30 Years): Treasury bills (T-bills) are short-term debt securities issued by the US government. This variable represents the interest rates on T-bills with maturities ranging from 3 months to 30 years. It reflects the cost of borrowing money for the government and provides an indication of the overall level of interest rates in the economy.

5. GDP: GDP stands for Gross Domestic Product, which is the value of all goods and services produced in a country. This dataset is taking into account only the Nominal GDP values. Nominal GDP represents the total value of goods and services produced in the US economy without accounting for inflation.

6. Rate: The Federal Funds Rate is the interest rate at which depository institutions lend reserve balances to other depository institutions overnight. It is set by the Federal Reserve and is used as a tool to regulate the money supply in the economy.

7. BBK_Index: The BBKI are maintained and produced by the Indiana Business Research Center at the Kelley School of Business at Indiana University. The BBK Coincident and Leading Indexes and Monthly GDP Growth for the U.S. are constructed from a collapsed dynamic factor analysis of a panel of 490 monthly measures of real economic activity and quarterly real GDP growth. The BBK Leading Index is the leading subcomponent of the cycle measured in standard deviation units from trend real GDP growth.

8. Housing Index: This variable represents the value of the housing market in the US. It is calculated based on the prices of homes sold in the market and provides an indication of the overall health of the housing market.

9. Recession binary column: This variable is a binary indicator that takes a value of 1 when the US economy is in a recession and 0 otherwise. It is based on the official business cycle dates provided by the National Bureau of Economic Research.

Corporate Profits in the United States increased to 3259.41 USD Billion in the second quarter of 2025 from 3252.44 USD Billion in the first quarter of 2025. This dataset provides the latest reported value for - United States Corporate Profits - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Brazil's main stock market index, the IBOVESPA, rose to 159976 points on December 2, 2025, gaining 0.86% from the previous session. Over the past month, the index has climbed 6.33% and is up 26.83% compared to the same time last year, 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 December of 2025.

Money Supply M2 in the United States increased to 22298.10 USD Billion in October from 22212.50 USD Billion in September of 2025. This dataset provides - United States Money Supply M2 - actual values, historical data, forecast, chart, statistics, economic calendar and news.

View LSEG's Lipper Fund Research Database, providing independent fund content to benchmark fund performance, manage risk, and more.

Change-In-Cash Time Series for Healthcare Realty Trust Incorporated. Healthcare Realty (NYSE: HR) is a real estate investment trust (REIT) that owns and operates medical outpatient buildings primarily located around market-leading hospital campuses. The Company selectively grows its portfolio through property acquisition and development. As of June 30, 2025, the Company was invested in 619 real estate properties in 32 states totaling 36.1 million square feet and had an enterprise value of approximately $10.5 billion, defined as equity market capitalization plus the principal amount of debt less cash.

Enterprise-Value-To-Ebitda-Ratio Time Series for Capital One Financial Corporation. Capital One Financial Corporation operates as the financial services holding company for the Capital One, National Association, which engages in the provision of various financial products and services in the United States, Canada, and the United Kingdom. It operates through three segments: Credit Card, Consumer Banking, and Commercial Banking. The company accepts checking accounts, money market deposits, negotiable order of withdrawals, savings deposits, and time deposits. Its loan products include credit card loans; auto and retail banking loans; and commercial and multifamily real estate, and commercial and industrial loans. The company offers credit and debit card products; online direct banking services; and provides advisory, capital markets, treasury management, and depository services. It serves consumers, small businesses, and commercial clients through digital channels, branches, cafés, and other distribution channels located in New York, Louisiana, Texas, Maryland, Virginia, New Jersey, and California. Capital One Financial Corporation was founded in 1988 and is headquartered in McLean, Virginia.

Cash-and-Equivalents Time Series for JPMorgan Chase & Co. JPMorgan Chase & Co. operates as a financial services company worldwide. It operates through three segments: Consumer & Community Banking, Commercial & Investment Bank, and Asset & Wealth Management. The company offers deposit, investment and lending products, cash management, and payments and services; mortgage origination and servicing activities; residential mortgages and home equity loans; and credit cards, auto loans, leases, and travel services to consumers and small businesses through bank branches, ATMs, and digital and telephone banking. It also provides investment banking products and services, including corporate strategy and structure advisory, and equity and debt market capital-raising services, as well as loan origination and syndication; payments; and cash and derivative instruments, risk management solutions, prime brokerage, and research, as well as offers securities services, including custody, fund services, liquidity, and trading services, and data solutions products. In addition, the company provides financial solutions, including lending, payments, investment banking, and asset management to small and midsized companies, local governments, nonprofit clients, and municipalities, as well as commercial real estate clients. Further, it offers multi-asset investment management solutions in equities, fixed income, alternatives, and money market funds to institutional clients and retail investors; and retirement products and services, brokerage, custody, estate planning, lending, deposits, and investment management products to high net worth clients. The company was founded in 1799 and is headquartered in New York, New York.

Change-In-Cash Time Series for PNC Financial Services Group Inc. The PNC Financial Services Group, Inc. operates as a diversified financial services company in the United States. It operates through three segments: Retail Banking, Corporate & Institutional Banking, and Asset Management Group segments. The Retail Banking segment offers checking, savings, and money market accounts, and time deposit; residential mortgages, home equity loans and lines of credit, auto loans, credit cards, education loans, and personal and small business loans and lines of credit; and brokerage, insurance, and investment and cash management services. This segment serves consumer and small business customers through a network of branches, digital channels, ATMs, and through phone-based customer contact centers. The Corporate & Institutional Banking segment provides secured and unsecured loans, letters of credit, and equipment leases; cash and investment management, receivables and disbursement management, funds transfer, international payment, and access to online/mobile information management and reporting services; asset-backed financing, securities underwriting, loan syndications, mergers and acquisitions and equity capital markets advisory, and customer related services; and commercial loan servicing and technology solutions. It serves mid-sized and large corporations, and government and not-for-profit entities. The Asset Management Group segment offers investment and retirement planning, customized investment management, credit and cash management solutions, and trust management and administration services for high net worth and ultra high net worth individuals, and their families; and multi-generational family planning services. It also provides outsourced chief investment officer, custody, cash and fixed income client solutions, and retirement plan fiduciary investment services for institutional clients. The company was founded in 1865 and is headquartered in Pittsburgh, Pennsylvania.

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.

Context

The algorithmic trading space is buzzing with new strategies. Companies have spent billions in infrastructures and R&D to be able to jump ahead of the competition and beat the market. Still, it is well acknowledged that the buy & hold strategy is able to outperform many of the algorithmic strategies, especially in the long-run. However, finding value in stocks is an art that very few mastered, can a computer do that?

Content

This Data repo contains two datasets:

1. Example_2019_price_var.csv. I built this dataset thanks to Financial Modeling Prep API and to pandas_datareader. Each row is a stock from the technology sector of the US stock market (that is available from the aforementioned API, which is free and highly recommended). The column contains the percent price variation of each stock for the year 2019. In other words, it collects the percent price variation of each stock from the first trading day on Jan 2019 to the last trading day of Dec 2019. To compute this price variation I decided to consider the Adjusted Close Price.

2. Example_DATASET.csv. I built this dataset thanks to Financial Modeling Prep API. Each row is a stock from the technology sector of the US stock market (that is available from the aforementioned API). Each column is a financial indicator that can be found in the 2018 10-K filings of each company. There are no Nans or empty cells. Furthermore, the last column is the CLASS of each stock, where:

   1. class = 1 if the price of the stock increases during 2019
   2. class = 0 if the price of the stock decreases during 2019

In other words, the last column is used to classify each stock in buy-worthy or not, and this relationship is what should allow a machine learning model to learn to recognize stocks that will increase their value from those that won't.

NOTE: the number of stocks does not match between the two datasets because the API did not have all the required financial indicators for some stocks. It is possible to remove from Example_2019_price_var.csv those rows that do not appear in Example_DATASET.csv.

Inspiration

I built this dataset during the 2019 winter holidays period, because I wanted to answer a simple question: is it possible to have a machine learning model learn the differences between stocks that perform well and those that don't, and then leverage this knowledge in order to predict which stock will be worth buying? Moreover, is it possible to achieve this simply by looking at financial indicators found in the 10-K filings?

This dataset offers a detailed collection of US-GAAP financial data extracted from the financial statements of exchange-listed U.S. companies, as submitted to the U.S. Securities and Exchange Commission (SEC) via the EDGAR database. Covering filings from January 2009 onwards, this dataset provides key financial figures reported by companies in accordance with U.S. Generally Accepted Accounting Principles (GAAP).

Dataset Features:

• Data Scope: The dataset is restricted to figures reported under US-GAAP standards, with the exception of EntityCommonStockSharesOutstanding and EntityPublicFloat.
• Currency and Units: The dataset exclusively includes figures reported in USD or shares, ensuring uniformity and comparability. It excludes ratios and non-financial metrics to maintain focus on financial data.
• Company Selection: The dataset is limited to companies with U.S. exchange tickers, providing a concentrated analysis of publicly traded firms within the United States.
• Submission Types: The dataset only incorporates data from 10-Q, 10-K, 10-Q/A, and 10-K/A filings, ensuring consistency in the type of financial reports analyzed.

Data Sources and Extraction:

This dataset primarily relies on the SEC's Financial Statement Data Sets and EDGAR APIs: - SEC Financial Statement Data Sets - EDGAR Application Programming Interfaces

In instances where specific figures were missing from these sources, data was directly extracted from the companies' financial statements to ensure completeness.

Please note that the dataset presents financial figures exactly as reported by the companies, which may occasionally include errors. A common issue involves incorrect reporting of scaling factors in the XBRL format. XBRL supports two tag attributes related to scaling: 'decimals' and 'scale.' The 'decimals' attribute indicates the number of significant decimal places but does not affect the actual value of the figure, while the 'scale' attribute adjusts the value by a specific factor.

However, there are several instances, numbering in the thousands, where companies have incorrectly used the 'decimals' attribute (e.g., 'decimals="-6"') under the mistaken assumption that it controls scaling. This is not correct, and as a result, some figures may be inaccurately scaled. This dataset does not attempt to detect or correct such errors; it aims to reflect the data precisely as reported by the companies. A future version of the dataset may be introduced to address and correct these issues.

The source code for data extraction is available here

Canada's main stock market index, the TSX, fell to 30943 points on December 2, 2025, losing 0.51% from the previous session. Over the past month, the index has climbed 2.21% and is up 20.70% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Canada. Canada Stock Market Index (TSX) - values, historical data, forecasts and news - updated on December of 2025.

Preferred-Stock-and-Other-Adjustments Time Series for Banc of California, Inc.. Banc of California, Inc. operates as the bank holding company for Banc of California that provides various banking products and services. The company offers deposit products, such as checking, savings, money market, demand, and time deposits; certificates of deposit; retirement accounts; and safe deposit boxes. It also provides real estate loans to professional developers and real estate investors for the acquisition, construction, refinancing, renovation, and on-going operation of commercial real estate properties; commercial real estate mortgage, residential real estate mortgage, and real estate construction and land loans; commercial loans and leases, such as equipment and lender finance, other asset-based, venture capital, secured business, warehouse, and other lending services; small business administration lending; and consumer loans comprising personal, auto, and other loans, as well as home equity and revolving lines of credit. In addition, the company offers international banking, multi-state deposit, and asset and investment management services; automated bill payments; cash and treasury management, foreign exchange, card payment, mobile deposit capture, automated clearing house origination, wire transfer, and direct deposit services; and online, mobile, remote deposit, and telephone banking services. It serves small and middle-market businesses, venture capital and private equity firms, non-profit organizations, business owners, entrepreneurs, professionals, and high-net worth individuals. The company offers its products and services through branches located throughout California; Denver, Colorado; and Durham, North Carolina, as well as through regional offices in the United States. The company was founded in 1941 and is headquartered in Los Angeles, California.

Context

These are the publicly traded U.S. stocks owned by Warren Buffett’s holding company Berkshire Hathaway, as reported to the SEC.

Warren Edward Buffett is an American investor, business tycoon, philanthropist, and the chairman and CEO of Berkshire Hathaway. He is considered one of the most successful investors in the world and has a net worth of US$78.9 billion as of August 2020, making him the world's seventh-wealthiest person.

The information can be found in the SEC 13F File. The Securities and Exchange Commission's (SEC) Form 13F is a quarterly report that is required to be filed by all institutional investment managers with at least $100 million in assets under management. It discloses their equity holdings and can provide some insights into what the smart money is doing in the market.

After obtaining the list of companies in which Berkshire Hathaway invests, we proceeded to search the historical data of each company on NASDAQ.

Content

In total there are 49 files in csv format. They are composed as follows: - 45 files contain the U.S. stocks owned by Berkshire Hathaway. - 2 files contain the historical data from Berkshire Hathaway. Class A stock (BRK-A) and Class B stock (BRK-B). - 1 file contain the list of all the companies with additional information. - 1 file contain the SEC Form 13F.

Column Description

Every company file has the same structure with the same columns: - Date: It is the date on which the prices were recorded. - Close/Last: Is the last price at which a stock trades during a regular trading session. - Volume: Is the number of shares that changed hands during a given day. - Open: Is the price at which a stock started trading when the opening bell rang. - High: Is the highest price at which a stock traded during the course of the trading day. - Low: Is the lowest price at which a stock traded during the course of the trading day.

The two other files have different columns names:

Company List - Name: Name of the company. - Symbol: Ticker symbol of the company.
- Holdings: Number of shares. - Market Price: Current price at which a stock can be purchased or sold. (10/18/20) - Value: (Holdings * Market Price).
- Stake: The amount of stocks an investor owns from a company.

SEC Form 13F

Name of Issuer, Title of Class, CUSIP Number, Market Value, Amount and Type of Security, Investment Discretion (Sole, Shared-Defined, Shared-Other), Other Managers, Voting Authority.

You can find detail information of each column in the SEC General Instructions Form 13F in page 5.

Acknowledgements

SEC EDGAR | Company Filings NASDAQ | Historical Quotes

Inspiration

Possible questions which could be answered are:

• Of the companies that make up the Berkshire Hathaway portfolio, which are the most profitable companies?
• On February 21, 2020, Berkshire Hathaway suffered a large drop in its share price, what was the reason for this large drop?
• The presidential elections in the United States will be soon, do you think this will affect a particular company in the Warren Buffett portfolio and if so, which would affect them more?

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