Searching Historical Data For Patterns

I have a database which contains time series data (historical stock prices) which I have to search for patterns on a day to day basis. But searching this historical data for patterns is very time consuming not only in writing the complex t-sql scripts but also executing them.

Table structure for one min data:
[Date] [Time] [Open] [High], [Low], [Close], [Adjusted_Close], [MA], [DI].....
Tick Data:
[Date] [Time] [Trade]
Most time consuming queries are with lots of inner joins. So for example if I have to compare first few mins data then I have to do inner join like:
With IntervalData AS
(
SELECT [Date], Sum(CASE WHEN 1430 = [Time] THEN [PriceRange] END) AS '1430',
Sum(CASE WHEN 1431 = [Time] THEN [PriceRange] END) AS '1431',
Sum(CASE WHEN 1432 = [Time] THEN [PriceRange] END) AS '1432'
FROM [INDU_1] GROUP BY [Date]
)
SELECT [Date] ,[1430], [1431], [1432], [1431] - [1430] As 'Range' from IntervalData
WHERE ([1430] > 0 AND [1431] < 0 AND [1432] < 0) OR ([1430] < 0 AND [1431] > 0 AND [1430] > 0)
------------------------------------------------------------------------
select ind1.[Time], ind1.PriceRange,ind2.[Time], ind2.PriceRange from INDU_1 ind1
INNER JOIN INDU_1 ind2 ON ind1.[Time] = ind2.[Time] - 1 AND ind1.[Date] = ind2.[Date]
where (ind1.[Time] = 2058) AND ((ind1.PriceRange > 0 AND ind2.PriceRange >0) OR (ind2.PriceRange < 0 AND ind1.PriceRange < 0))
ORDER BY ind1.[Date] DESC;
Is there anyway I can use Sql 2005 Data mining models to make this searching faster?