Confused about the difference between Correlation and Rsquared?

Hi, I'm writing a stock analysis program and in it, I want to show if 2 stocks are related (ie. how much they move in synch). I'm already calculating the Correlation Coefficient between the 2 stocks and that seems to give a good realistic figure, and now I'm tackling Rsquared. I'm starting to wonder now if I even need to bother with Rsquared if I've already done the Correlation Coefficient. Isn't Rsquared just the Correlation Coefficient times itself? (if so, that info wouldn't be of much help). I'm using this formula to calculate Rsquared (as found doing a websearch):

Rsquared := Square (Covariance(Stock1,Stock2) / (StdDev(Stock1) * StdDev(Stock2)));

... but that formula does not yield the same value as the square of the Correlation Coefficient at all. Confused about that.

   Furthermore, in my googling, it seems to say that Rsquared is an indication of how good a LINEAR REGRESSION line "fits" the data. But in my program, I'm not really comparing one stock to a linear regression line, I'm comparing one stock to another stock, so I don't really seem how Rsquared would apply in this case. Anyway, as you can probably tell, I'm not a stats whiz and I'm a little confused... maybe I just don't need to be bothering with Rsquared at all,eh? Doesn't seem like it's gonna tell me anything more than Correlation Coefficient.

Thanks
    Shawn