Quote from EdgeHunter:
Micro$oft has worked diligently to improve Excel 2007 for financial professionals to use to trade with and thru
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"Processing power: Prior to the release of Microsoft Excel 2007, all spreadsheets were single threaded and could not take advantage of todayâs multi-core technology.
Spreadsheet size and memory limitations: Excel 2003 can have 256 columns by 64K rows and can use 1GB of memory. Excel 2007 can have 16K columns by 1M rows, but is still constrained by a 32-bit address space.
Microsoft Office Excel 2007: Microsoft has made significant improvements in Excel 2007 guaranteed to excite spreadsheets enthusiasts. Users can now create spreadsheets with up to 16,384 columns and 1,048,576 rows and benefit from expanded memory capabilities up to the maximum amount of memory addressable within 32-bits. Finally, Excel now includes a multi-threaded calculation engine. This means, that spreadsheets can maximize computational power. When running multi-core, multi-CPU, or hyper-threaded processes, linear improvements can be seen in performance, assuming parallelization of calculations.
Excel Services: Excel Services, part of Microsoft Office SharePoint Server 2007 (MOSS), extends the capabilities of Excel 2007 by providing a server-side complement. Excel services provides the necessary components to share and maintain spreadsheets in a secure manner.
We use the Equis / QuoteCenter / Reuters DDE feed and pull 927 stocks into one Excel 2007 Spreadsheet in array format that uses only 12% to 20% cpu usage all day and as far as i can tell we don't get dropped quotes and get a lot of custom fields that help us create many different custom indicators (Beta, MoneyFlow, Volatility, MAvgs, Hi Lo Ranges, TradeCounts, Block Counts, Block Sums, etc...
Other shops; eSig, DTN, etc... killed our cpu with only 500 stocks !!...
We pull 927 unique stock records with 9 columns each into SQL Server every 1 minute during the day using a VBA windows timer and SQL Server DTS package and then allow SQL Server to do the Stored Procs analysis to feed data to us about what is going on in equity indexes, sectors, etc to better understand how to trade the equity futures and in showing the weakness or strengths in groups of tradeable Correlated Stock Baskets
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