Hong Kong Stocks Exchange data

This dataset contains some of the major stocks available for buying and selling by investors

1. 0005: HSBC Holdings, the British bank listed in both of Hong Kong Stock Exchange and London Stock Exchange.
2. 0011: Hang Seng Bank, a HK based bank. Part of HSBC group.
3. 0066: MTR Corporation, the major HK subway service and real state business
4. 0700: Tencent Holdings Ltd., the tech and digital entertainment giant from mainland China
5. 1810: Xiaomi Corporation , the first globally famous tech lifestyle products company.
6. 2638: HK Electric Investments and HK Electric Investments Ltd.: One of the major electicity provider in Hong Kong
7. 2800: Tracker Fund of Hong Kong, a unit trust which provides investment results that correspond to the performance of the Hang Seng Index in the Hong Kong stock market.
8. 8083: CHINA YOUZAN LTD, a payment tech company in mainland China

Content

What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too.

Acknowledgements

All data are available on Hong Kong Stock Exchange (HKEX)

Full historical data for the S&P 500 (ticker ^GSPC), sourced from Yahoo Finance (https://finance.yahoo.com/).

Including Open, High, Low and Close prices in USD + daily volumes.

Info about S&P 500: https://en.wikipedia.org/wiki/S%26P_500

Context

Nifty50 is one of the two leading Indian stock market benchmark indices. It is studied and analyzed by a broad audience from hobbyists to professionals.

Content

Nifty50 price history since 26 June 2009, when the computation was changed to a free-float methodology.

Acknowledgements

Thanks, National Stock Exchange of India Ltd. for making data available freely on the NSE website.

Update

Unfortunately, the API this dataset used to pull the stock data isn't free anymore. Instead of having this auto-updating, I dropped the last version of the data files in here, so at least the historic data is still usable.

Content

This dataset provides free end of day data for all stocks currently in the Dow Jones Industrial Average. For each of the 30 components of the index, there is one CSV file named by the stock's symbol (e.g. AAPL for Apple). Each file provides historically adjusted market-wide data (daily, max. 5 years back). See here for description of the columns: https://iextrading.com/developer/docs/#chart

Since this dataset uses remote URLs as files, it is automatically updated daily by the Kaggle platform and automatically represents the latest data.

Acknowledgements

List of stocks and symbols as per https://en.wikipedia.org/wiki/Dow_Jones_Industrial_Average

Thanks to https://iextrading.com for providing this data for free!

Terms of Use

Data provided for free by IEX. View IEX’s Terms of Use.

The Global Industry Classification Standard (GICS) is an industry taxonomy developed in 1999 by MSCI and Standard & Poor's (S&P) for use by the global financial community. The GICS structure consists of

• 11 sectors
• 25 industry groups,
• 74 industries
• 163 sub-industries into which S&P has categorized all major public companies.

The system is similar to ICB (Industry Classification Benchmark), a classification structure maintained by FTSE Group.

GICS is used as a basis for S&P and MSCI financial market indexes in which each company is assigned to a sub-industry, and to an industry, industry group, and sector, by its principal business activity.

"GICS" is a registered trademark of McGraw Hill Financial and MSCI Inc.

The GICS schema follows this hierarchy: - Sector - Industry Group - Industry - Sub-industry

That is, a sector is composed by industry groups, which are composed by industries which are composed by sub-industries.

Each item in the hierarchy has an id. Each ids are prefixed by the id of the parent in the hierarchy and generally the number of the ids are increased by 5 or 10. For example the Sector Industrials has the id 20, the Industry group Capital Goods has the id is prefixed by that 20, resulting in 2010.

Dataset

The dataset is composed by CSV files (currently 2 files). Each representing a different version of the GICS classification.

For each file the columns are:

• SectorId (2 digits)
• Sector (string)
• IndustryGroupId (4 digits)
• IndustryGroup (string)
• IndustryId (7 digits)
• Industry (string)
• SubIndustryId (10 digits)
• SubIndustry (string)
• SubIndustryDescription (string)

References

• https://en.wikipedia.org/wiki/Global_Industry_Classification_Standard
• https://www.msci.com/our-solutions/indexes/gics

Context

In this dataset you can find the Top 100 companies in the technology sector. You can also find 5 of the most important and used indices in the financial market as well as a list of all the companies in the S&P 500 index and in the technology sector.

The Global Industry Classification Standard also known as GICS is the primary financial industry standard for defining sector classifications. The Global Industry Classification Standard was developed by index providers MSCI and Standard and Poor’s. Its hierarchy begins with 11 sectors which can be further delineated to 24 industry groups, 69 industries, and 158 sub-industries.

You can read the definition of each sector here.

The 11 broad GICS sectors commonly used for sector breakdown reporting include the following: Energy, Materials, Industrials, Consumer Discretionary, Consumer Staples, Health Care, Financials, Information Technology, Telecommunication Services, Utilities and Real Estate.

In this case we will focuse in the Technology Sector. You can see all the sectors and industry groups here.

To determine which companies, correspond to the technology sector, we use Yahoo Finance, where we rank the companies according to their “Market Cap”. After having the list of the Top 100 best valued companies in the sector, we proceeded to download the historical data of each of the companies using the NASDAQ website.

Regarding to the indices, we searched various sources to find out which were the most used and determined that the 5 most frequently used indices are: Dow Jones Industrial Average (DJI), S&P 500 (SPX), NASDAQ Composite (IXIC), Wilshire 5000 Total Market Inde (W5000) and to specifically view the technology sector SPDR Select Sector Fund - Technology (XLK). Historical data for these indices was also obtained from the NASDQ website.

Content

In total there are 107 files in csv format. They are composed as follows:

• 100 files contain the historical data of tech companies.
• 5 files contain the historical data of the most used indices.
• 1 file contain the list of all the companies in the S&P 500 index.
• 1 file contain the list of all the companies in the technology sector.

Column Description

Every company and index file has the same structure with the same columns:

Date: It is the date on which the prices were recorded. 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. Open: Is the price at which a stock started trading when the opening bell rang. Close: 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. Adj Close: The adjusted closing price factors in corporate actions, such as stock splits, dividends, and rights offerings.

The two other files have different columns names:

List of S&P 500 companies

Symbol: Ticker symbol of the company. Name: Name of the company. Sector: The sector to which the company belongs.

Technology Sector Companies List

Symbol: Ticker symbol of the company. Name: Name of the company. Price: Current price at which a stock can be purchased or sold. (11/24/20) Change: Net change is the difference between closing prices from one day to the next. % Change: Is the difference between closing prices from one day to the next in percentage. Volume: Is the number of shares that changed hands during a given day. Avg Vol: Is the daily average of the cumulative trading volume during the last three months. Market Cap (Billions): Is the total value of a company’s shares outstanding at a given moment in time. It is calculated by multiplying the number of shares outstanding by the price of a single share. PE Ratio: Is the ratio of a company's share (stock) price to the company's earnings per share. The ratio is used for valuing companies and to find out whether they are overvalued or undervalued.

Acknowledgements

SEC EDGAR | Company Filings NASDAQ | Historical Quotes Yahoo Finance | Technology Sector Wikipedia | List of S&P 500 companies S&P Dow Jones Indices | S&P 500 [S&P Dow Jones Indices | DJI](https://www.spglobal.com/spdji/en/i...

The IvyDB Signed Volume dataset, available as an add-on product for IvyDB US, contains daily data on detailed option trading volume. Trades in the IvyDB US dataset are assigned as either buyer-initiated or seller-initiated based on the trade price and the bid-ask quote at the time of the trade. The total assigned daily volume is aggregated and updated nightly.