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Some worth contacting to determine whether they have the features you seek: Paritech pxAPI: http://www.paritech.com.au/products/pxapi.html IRESS: http://www.iress.com.au/_/media/Files/Brochures/IRESS_API_Solutions.pdf eSignal QLink http://www.esignal.com/development-tools/esignal_sdk_tools/qlink.aspx Two other real-time platforms are Bourse Data and ...


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You need to use the strategy tester. It is a built in feature of mt4 and well known and documented. For more information you can google "mt4 strategy tester" or just check mql4.com (or mql5.com.... they are starting to merge pages from mql4 to mql5). You can start here: ...


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There are two main classifications professionals use. You would need to purchase one of the two main standards, get it from your university or hand source it. Using this information it is easy to sort out which competitors are in a given sector. The two main sources are the Global Industry Classification Standard (GICS) and Industry Classification Benchmark ...


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http://www.forbes.com/sites/louiscolumbus/2015/01/24/roundup-of-cloud-computing-forecasts-and-market-estimates-2015/ Does this give you a place to start?


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Reuters has historical financial news that goes back pretty far. I was doing some similar stuff with historical news and you can go back before 1950's, for certain companies. You can scrape from them using a scraper built by yourself (very easy to implement in python) or using a service like Kimono, which you can set to run every so often. Kimono also lets ...


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You said that the PX_BID and PX_ASK values are dependent upon when you pulled the data. But if I pull historical data (e.g. for the last month) only the value of today would be changing but not the past ones... So there should be a point of time when the final PX_BID and PX_ASK values for a day are calculated. Or am I wrong?


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Yes, you can use e.g. the ECB daily official foreign exchange rate data as a reliable and consistent daily timeseries. ECB does a fixing at 14:15 CET, by some methodology they call a "daily concertation procedure". I don't easily find a description of the details (are they considering only traded prices, or bids and offers? How long of a time window ...


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I think this project could be interesting! This is because, although already exist market data sources (see QUANDL) for free or cheap, I think it would be nice build your own database. Moreover, I find the fact you want to build an updated dataset about companies news, report & releases extremely interesting, since a serious source about historical ...



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