Data for Munge: stock trading, stock trading

I know that most of this information is probably completely privatized, but does anyone know about a good source of real-time information about what trading activity there is on the market? It does not have to be fast enough to actually make informed trading decisions based on this, I’m more going to combine it into beautiful graphics. For fun. Because I have personal problems.

I would be grateful for any help!

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Not sure, but I thought the Google Finance API was better than Yahoo:

http://code.google.com/apis/finance/

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The best I know is the Yahoo Finance API. This will give you deferred prices and some offers / offers. It describes how this works: http://www.gummy-stuff.org/Yahoo-data.htm

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A project called OpenTick was created that planned to provide access to data from the exchanges themselves (for example, the Chicago Board of Trade) if you paid exchanges for any fees. This project quietly died .

You can get some market benchmarks from St Louis Fed . In addition, I did not find anything better than Yahoo! Finance or Google Finance. Both NASD and NYSE provide access to historical data on their websites, but I do not see any web service interfaces.

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Bloomberg open api http://www.openbloomberg.com/open-api/ , which was recently made free, can be used to obtain historical market data, as well as real-time data. If you are looking for a historical stock price, there is a good api http://www.quandl.com/ , you can get even more than 10 year stock prices for co. in many formats.

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I would subscribe to the Google API offer, but it is no longer available.

This post offers the best list of financial data available from R that I have met on the Internet: http://www.r-bloggers.com/financial-data-accessible-from-r-part-iv/ .

But this is not an R message. In addition to these sources, I would completely recommend the TD Ameritrade Thinkorswim platform (www.thinkorswim.com). This is a trading platform with real-time free data in the US financial markets. You can open an account and save only one cent on it, if this is not required for the actual investment / trading.

In addition, I would recommend the Ninja Trader platform ( http://ninjatrader.com ), which offers free end-of-day historical data for US financial markets. You can export data from Ninja Trader to txt format, and then import it into R or Python, if necessary.

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