I know this was answered already, but the problem caught my interest so I thought I'd give it a try.
I assumed you might want to see the difference between any two consecutive dates.
So for the following data:
GOOG 2012-09-07 42.34
GOOG 2012-09-06 44.56
GOOG 2012-09-01 44.32
FB 2012-09-07 17.82
FB 2012-08-05 12.98
You would get:
GOOG 2012-09-07 2012-09-06 -2.22
GOOG 2012-09-06 2012-09-01 0.24
FB 2012-09-07 2012-08-05 4.84
The query I wrote for this is:
SELECT t1.Stock, t1.Date AS CurrentDate, oldDate.Date AS OldDate, (t1.Price - oldDate.Price) AS PriceChange
FROM MP_StockTable t1
JOIN (SELECT t2.Stock, t2.Date AS date1, (SELECT MAX(t3.Date) FROM MP_StockTable t3 WHERE t3.Date < t2.Date AND t3.Stock = t2.Stock GROUP BY t3.Stock) AS date2
FROM MP_StockTable t2) AS StockDates ON StockDates.Stock = t1.Stock AND StockDates.date1 = t1.Date
JOIN MP_StockTable oldDate ON oldDate.Stock = t1.Stock AND oldDate.Date = StockDates.date2
The inline table basically calculates the closest previous date for each row. So for the data above, the generated table would like this:
GOOG 2012-09-07 2012-09-06
GOOG 2012-09-06 2012-09-01
GOOG 2012-09-01 NULL
FB 2012-09-07 2012-08-05
FB 2012-08-05 NULL
We then use the two dates from that table to get our two price points.
NOTE: I was testing in SQLServer, so apologies if this needs some tweaks for mySql (it's been years since used mySql, so I've forgotten the differences).