You can obtain the FX rates from the Federal Reserve with this code:

Hi, Vitaliy

That's not really what I am after.

To give you a clearer example, certain of the Indices covered by FinancialData[] can return date series values. 

For example, this works:

FinancialData["^FTSE", {{2014, 1, 1}, {2014, 3, 31}}]

...but this doesn't...

FinancialData["^DJI", {{2014, 1, 1}, {2014, 3, 31}}]

...despite the fact that THIS DOES return a spot price:

FinancialData["^DJI"]

So there is what I call "coverage" for "^DJI", but that coverage is not as complete as that for "^FTSE".

Another useful thing to know, when there was date series coverage, what the first valid date is (or, indeed, last valid date). If you are mapping a function across a list of multiple stock/index identifiers for a certain period (perhaps producing an array of plots), it would be useful to know in advance which ones will return incomplete date series.

Sorry to have been unclear in my first question.

Regards

Brad

Hi, Marco

I'm talking currency exchange, so GBP is Pound Sterling, not GDP.

I suppose there is a broader question here: how does one discover what is and isn't available? Of course you can probe about with short queries. But unless I am missing something, there is no way to get a "coverage report".

Apologies if it already exists, but here would be a nifty feature:

FinancialData["^DJI", "DataCoverage"]

... the results of which might be something like...

{{"SpotValue", True}, {"HistoricalData", False}, {"DateOfFirstValue", {1957, 6, 14}}, <and so on>}

Then you could probe the data systematically, making one call per symbol, and getting back everything you need to know to decide whether you can work with the entity or not.

Regards

Brad

I guess that one would need also the GDP in French currency during this period in order to get the exchange rates..

And.. it seems that WolframAlpha[] interprets 2014 as the GBP amount which to convert in USD over time.

The desired result can be obtained by simply asking for "USD/GBP" data, but the graph now isn't so "optimistic" as the first one:

While you still should get an answer about FinancialData, - a workaround. I always resort to Wolfram|Alpha sources because they are different from FinancialData sources. See this discussion for more details.