Where To Download __TOP__ Stock Market Data

The data collection effort about investor attitudes that I have been conducting since 1989 has now resulted in a group of Stock Market Confidence Indexes produced by the Yale School of Management. These data are collected in collaboration with Fumiko Kon-Ya and Yoshiro Tsutsui of Japan. Some of our earlier results are also noteworthy: Results of Surveys about Stock Market Speculation 12/99.

Stock market data used in my book, Irrational Exuberance [Princeton University Press 2000, Broadway Books 2001, 2nd ed., 2005] are available for download, U.S. Stock Markets 1871-Present and CAPE Ratio. This data set consists of monthly stock price, dividends, and earnings data and the consumer price index (to allow conversion to real values), all starting January 1871. The price, dividend, and earnings series are from the same sources as described in Chapter 26 of my earlier book (Market Volatility [Cambridge, MA: MIT Press, 1989]), although now I use monthly data, rather than annual data. Monthly dividend and earnings data are computed from the S&P four-quarter totals for the quarter since 1926, with linear interpolation to monthly figures. Dividend and earnings data before 1926 are from Cowles and associates (Common Stock Indexes, 2nd ed. [Bloomington, Ind.: Principia Press, 1939]), interpolated from annual data. Stock price data are monthly averages of daily closing prices through January 2000, the last month available as this book goes to press. The CPI-U (Consumer Price Index-All Urban Consumers) published by the U.S. Bureau of Labor Statistics begins in 1913; for years before 1913 1 spliced to the CPI Warren and Pearson's price index, by multiplying it by the ratio of the indexes in January 1913. December 1999 and January 2000 values for the CPI-Uare extrapolated. See George F. Warren and Frank A. Pearson, Gold and Prices (New York: John Wiley and Sons, 1935). Data are from their Table 1, pp. 1114.

As of September 2018, I now also include an alternative version of CAPE that is somewhat different. As documented in Bunn & Shiller (2014) and Jivraj and Shiller (2017), changes in corporate payout policy (i. e. share repurchases rather than dividends have now become a dominant approach in the United States for cash distribution to shareholders) may affect the level of the CAPE ratio through changing the growth rate of earnings per share. This subsequently may affect the average of the real earnings per share used in the CAPE ratio. A total return CAPE corrects for this bias through reinvesting dividends into the price index and appropriately scaling the earnings per share.

The U.S. Home Price Indices, which Karl Case and I originally developed, which were produced 1991-2002 by our firm Case Shiller Weiss, Inc. under the direction of Allan Weiss, are now produced by CoreLogic under the direction of Linda Ladner and David Stiff. Many of these price indices, including twenty cities, low- medium- and high- tier home price indices, condominium indices, and a U.S. national index, are now published as the S&P/CoreLogic/Case-Shiller Home Price Indices by Standard & Poor's, and are available to the public on Standard & Poor's web site. Eleven of these indices are traded at the Chicago Mercantile Exchange. Information on these futures markets can be found at

Historical housing market data used in my book, Irrational Exuberance [Princeton University Press 2000, Broadway Books 2001, 2nd edition, 2005], showing home prices since 1890 are available for download and updated monthly: US Home Prices 1890-Present.

An annual series is also available here, long term stock, bond, interest rate and consumption data since 1871 that I in collaboration with several colleagues collected to examine long term historical trends in the US market. This is Chapter 26 from my book Market Volatility, 1989, and revised and updated.

Karl Case and I have collected some data sets on prices of houses, which show for a sample of homes that sold twice between 1970 and 1986 in each of four cities Atlanta, Chicago, Dallas, and Oakland, the first sale price, second sale price, first sale date, and second sale date. These data are somewhat outdated, and of interest only to researchers.

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Where To Download Stock Market Data

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By default, users will receive free delayed market data for available exchanges. If needed, users can subscribe to real-time streaming market data for the prices listed in the tables below. Once a subscription is active, the delayed market data will be replaced with the real-time quotes. In addition, clients who do not need streaming real-time quotes will have the ability to request snapshot data from multiple exchanges worldwide. This request will provide a static quote for the instrument. U.S. listed equities are USD 0.01 per quote request and all other instruments are USD 0.03 per quote request. As a courtesy, accounts will receive a waiver of USD 1.00 per month for snapshot quotes. Learn more about snapshot quotes.

We provide real-time streaming market data for the prices listed in the sections below. For the exchanges which we provide, you will automatically receive free delayed market data for financial instruments for which you do not currently hold market data subscriptions.

Most exchanges and data vendors classify clients as either non-professional or professional. By default, organizations such as corporations, limited liability companies, partnerships and any account where the data is used for more than personal investment purposes is deemed to be professional. In addition, private persons may be considered professional if they are registered as a security or investment advisor, or act in a similar capacity. A trader who is employed by a financial services business may also be considered a professional. For more information about non-professional qualifications, see Guidelines on Market Data Subscriber Classifications.

In order to receive real-time market data, customers must be a subscriber to market data. All clients initially receive 100 concurrent lines of real-time market data (which can be displayed in TWS or via the API) and always have a minimum of 100 lines of data. After the first month of trading, the quantity of market data is allocated using the greater value of:

The number of symbols that can be viewed simultaneously via the TWS deep book windows (including BookTrader, Market Depth and ISW) is determined as follows: one unique symbol for every 100 allowed lines of market data, with a minimum of three and a maximum of 60. For example, a client with the default allowance of 100 lines of data will be able to simultaneously view deep data for three different symbols. Note that multiple deep book windows for the same symbol can be opened without impacting market data limits. Continuing this example, this client could open the symbol IBKR in BookTrader, Market Depth and ISW and still be able to view deep data for two more symbols. A client who, based on commissions, equity or other criteria, is allowed 500 tickers will be able to simultaneously view deep data for five unique symbols. Note that this number may change month to month if the number of allowed tickers for your account changes.

The Snapshot capability allows users to request a singular instance, non-streaming quote of market data for an individual stock. Snapshot quotes do not update and do not refresh on their own. They are an alternative to streaming quotes as users are charged on a per request basis as opposed to a monthly flat fee. U.S. listed equities are USD 0.01 per request and all other instruments are USD 0.03 per request. Clients will be eligible for capping when their snapshot requests equal the price of the streaming quote service.

Non-Professional Subscriber - A "Non-professional Subscriber" is any natural person (the definition of a natural person excludes corporations, trusts, organizations, institutions and partnership accounts) whom a market data vendor has determined qualifies as a "Nonprofessional Subscriber" and who is not:

It may default to 10 years of data. You can adjust how far back you want to get data. This will pull information from the actual stock markets directly. you can get data from any market in the world. Not sure how far back you need to go, but you may have historical data in your own files to compensate.

The Global Financial Development Database is an extensive dataset of financial system characteristics for 214 economies. It contains annual data, starting from 1960. It has been last updated in September 2022 and contains data through 2021 for 108 indicators, capturing various aspects of financial institutions and markets. Please, be advised that the latest release presents changes in the methodology to compute some of the indicators, which have been properly identified in blue in the tab "Metadata". 2351a5e196