Download it here: "FinAnSu":download
The app right above integrates with .NET (installed on updated XP, Vista and Windows 7 machines) and Excel to pull in online security price data. Installation instructions can be on that page, also.
- Threading - Pulling information from the Web via VBA or Excel's native web import is slooow. Support for asynchronous requests and threading exists to a limited extent, but the bottom line is that things will update one by one, and your interface will lock up until all processes are done. Threading via "Excel-Dna":dna, on the other hand, is very easy. In non-technical terms, this means you can have something running alongside Excel that doesn't force the spreadsheet to do a lot of recalculations or otherwise interfere with your work. For processes like web queries where much of that time is spent waiting, you can really speed up an application by having them run concurrently.
- Speed - Writing things in compiled C# computes much faster than VBA, which is compiled on the fly. For financial functions that involve many computations (like Monte Carlo simulations, long-term callable/cancellable bonds, complex options, etc.), this will be very useful going forward.
- Ease of Deployment - Microsoft's preferred "VSTO":vsto is a deployment nightmare, and I'm not shelling out $200 for an Authenticode license when I don't need full trust, plan to keep this open source and don't see any reason why a simple add-in should need to install itself when you can just delete it in Excel.
- Interoperability - Seriously, there are enormous headaches dealing with the variety of Windows versions. .NET at least limits them.
h3. Some Pretty Boring Details
So one little thing I've been working on periodically is how to import online data into Excel. There is obviously a wealth of data on finance sitting around online, but the tools we have to access it are woefully inadequate if you don't have a Bloomberg terminal in front of you.
As an example, let's say I want to model an EUR-USD cross-currency swap in Excel. Well, I know how to do it; I basically need a series of quotes for EURUSD exchange rates, LIBOR, Euribor, cross-currency basis swaps, and maybe some regular basis swaps (i.e. 1M-3M, 3M-6M). Without a pricing tool, I'd have to look these up in Bloomberg, enter them by hand, and then build the model. (Even with a tool, if you want to test the sensitivity of certain assumptions, you'd probably use Excel anyway.) If prices changed, I'd have to reenter them. If I wanted to lengthen the term, I'd have to look up several more sets. It's a total waste, because those quotes are all just sitting there on finance websites and I already know their IDs. So you need a tool if you want to make this painless.
As for why this requires a tool—not just a data import or an add-in—let's take a seemingly simple example, like pulling stock quotes.
h4. Excel Import Data from Web
The first solution is to use the built-in web import functions in Excel. This tool imports web tables, which hasn't been useful since "tableless web layouts":tableless entered the mainstream several years ago, and thus it barely works with even the MSN homepage. If you want to import "Google's stock quote":goog from Google Finance, you basically import the whole page and have to sift through 152 cells of data when you most likely want 1.
Let's say that's okay. Now you want to change the URL so you can pull Yahoo's quote. After clicking somewhere in the output range, you would do this:
Data > Connections > Properties... > Definition > Edit Query... > Change URL
And if you want to add a new web connection, you have to repeat the process. It's a pain, and it's worthless except for one-off projects. If you have certain price data you want to monitor and incorporate in a variety of Excel work, it just doesn't cut it. VBA data connection objects are convoluted enough that you have to be a masochist to mess with them (e.g. sometimes even slightly errant string lengths in database connections will crash Excel).
So native import is out.
h4. Standalone Excel Add-In
Now we're talking. You can reference the Microsoft XML and Microsoft VBScript Regular Expression libraries, which give the @XmlHttp@ and @RegExp@ objects. Using those, you can import a web page (unfortunately, you can't speed it up by implementing an asynchronous @XmlHttpRequest@ object or a delegate, as VBA can only access one thread), parse it with a "regular expression":regex, and pull out the info you need.
It works like a charm, and it's what I did initially. But some issues linger, most notably that you either have to update all quotes manually (@Ctrl+Alt+F9@) or automatically. The former means a lot of refreshing and stale data, the latter a lot of waiting after you change even a single cell. Each update is an interruption of your workflow, and dozens of securities can take a very long time to pull. Furthermore, while these cells are refreshing, they have the potential to corrupt the cell you're currently working in.
Despite these issues, people may want to consider this methodology, and to that end there's a great "Yahoo! Finance add-in by Randy Harmelink":smf.
h4. Background Application + Excel Add-In
And this is where I settled. Here, you control how often information is pulled, and because it's done separately from Excel you don't have any issues with waiting for a refresh or corrupted cells. Both Excel and the application share access to the registry (for security ID lists and preferences) and a small DAT file containing the latest quotes. Whenever my custom @=Quote()@ function is called in Excel, the application opens, minimized to the system tray, and begins pulling in quotes.
Bloomberg does something like this (in a much, much more sophisticated way) for their Excel add-in, which delivers data using the Bloomberg Professional application as the back-end.
Anyway, once you've installed everything, you would write something like @=LiveQuote("goog")@ in Excel. The application will display @"#WAIT"@ in the cell until it's pulled the information and update every 15 seconds afterwards. The program updates in the background, and so it don't interfere with anything you're doing in Excel. You can adjust the refresh time and turn off auto-updating to meet your needs, too.
Note also that, despite the greatness of Mr. Harmelink's add-in above, you can get some things from Bloomberg that you just can't get elsewhere, like LIBOR, swaps, corporate bonds, CDS, etc. You might think the applications of a real-time GOOG quote are limited, but with something like @=LiveQuote("US0003M:IND")@ (and its LIBOR/swap brethren) pulling from Bloomberg, you can do some serious discounted cash flow stuff very near the actual market quote and open up the fixed-income universe. Check out "Bloomberg Open Symbology":symbology for a list of security IDs, a good number of which can be priced through their site.
I'm not a programmer by trade, so certain things I haven't perfected, but it's still a nifty little tool, IMO. There's some clean-up to do regarding usability, but Rome wasn't built in a day.