# Tag Info

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Here are some pointers. First of all: What you list as a Reuters RIC, RSF.ANY.AAPL.OQ, is not really a RIC, only the AAPL.OQ is. The initial part is some stuff which is essentially site specific and tells me that you are working on a site that has a legacy RTIC infrastructure (some Reuters/TIBCO technology which is quite old these days and for all ...

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I hate to recite Wikipedia, but it seems like the answer is there. To summarize, the legacy Bloomberg server was written in a mix of Fortran and C, and more recently they've begun adding C++ and embedded Javascript components. Different clients use languages appropriate to their platforms.

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But what you see from the outside is just an interface, no? And C interfaces are much easier to handle, e.g. from Excel and other common tools. Almost a decade ago I wrote a (firm-internal, unreleased) interface from R to Bloomberg, that only worked because the C interface permitting me to use gcc / MinGW (as required by R) along with the dll/lib from ...

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I think you are misinterpreting the data. Right now, looking at Bloomberg webpage, the Market Cap of Pearson is 11.142,56(M). This figure has been obtained looking at the heading Market Cap (M GBP). Alternative, if you go through the Number of Shares x Share Price route, using the same Bloomberg webpage, you obtain: Shares Outstanding (M) x Current Share ...

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PX is often used as an abbreviation for price in Bloomberg. Fields prefixed with PX are generally static fields: the value is requested only once and is based on whatever information is available when you send that request. On the other hand, real time fields keep sending new data as it becomes evailable. As an example: PX_LAST is the last price as of when ...

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No there is no way to restrict anyone from creating a new login and password. The point of this particular subscription is to have one local terminal that anyone with access to the terminal can use. Other subscriptions allow only one user access but in exchange offers that one user through a BB Anywhere addon (at no extra charge) can access the terminal from ...

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Tons of legacy Fortran and C, some recent C++ and Java. Lots of in-house technologies of debatable quality, including for things where there exist good open-source alternatives. If you care about using modern technologies and don't want to touch legacy systems, I'd go elsewhere. Edit: there is some variability across teams with regards to the technology ...

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I will be adding here some resources that I found during the research, hopefully it will turn useful for others: http://www.linkedin.com/groups/master-symbol-database-most-cost-98173.S.51776671

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Bloomberg equity codes are usually quite easy to derive if you know the ticker (though you may have to replace dashes/spaces/slashes for preferred and multi-class shares). This is just for equities though and this is definitely not the case for futures. RICs are a different story. In the US, you need to know on what exchange the ticker is listed to get the ...

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Let's approximate the time to maturity to be 3 years and 10 months. Assume that coupon is paid on March 6 each year. Let face value $F=100$ and coupon $c=0.07375F$. Let the discount factor be $d(0,T)=e^{−r T}$ where $r=0.06535$. The price of the bond is ce^{−10/12 \bullet r}+ce^{−22/12 \bullet r}+ce^{−34/12 \bullet r}+(F+c)e^{−46/12 \bullet r}=103.24 \; ...

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I think your request is too broad. ITUB, for example is an Italian company and has ADRs traded in several stock exchanges. Hence, if you do search in Eikon, you find multiple tickers for it. And I failed to find critea, which could yield single return value for each tickers you supplied. I used request: =RSearch("Equity", "TickerSymbol:" & B3 & ...

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Bloomberg provides unique identifiers, I assume Reuters does the same thing. It might be a good idea to use those, or at least track them. Presumably you have pricing data on each of these? You could always check a few close prices against each other to check if you have matched the strings correctly.

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You can get this information by 'web scraping' - running a script (Python is ideal) which visits the relevant websites and extracts the prices from the HTML, then packages it into a suitable form (eg XML) and saves to disk. The only drawback is that the script needs fairly regular maintenance, as the pages you are getting the information from tend to be ...

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