Wall Street uses Excel for trading on a daily basis. The average investor or trader doesn't use Excel this way, but the techniques for implementing Excel in a trading environment are relatively simple. You just need to know how you intend to use Excel, and what kind of trading workflow works for you.
You should first ask yourself how you might use use Excel for trading. Will you just import prices and volume data into a spreadsheet? Do you intend to generate buy/sell signals? How about tracking positions, profits and losses in a spreadsheet? Do you have an existing trading software platform you'd like to integrate with? Would you consider building a complete Excel for trading system with VBA, formulas, price imports and other features?
Bringing price and volume data into a spreadsheet automatically is one way to implement Excel for trading. This uses DDE links to a price data database, either an internal or vendor provided database. DDE links are efficient and can capture fast moving prices (with certain limitations relevant to algorithmic trading). Importing price and volume data into Excel with web query functionality is an alternative to DDE links. This works if you want to capture a smaller volume of prices or economic data from websites like Yahoo Finance, Google Finance, etc. You can also import data into Excel using the Data from Other Sources function. This connects to SQL Server, MS Analysis Services, XML files and ODBC -- this is a good option for the technically minded.
Once you have your data into Excel for trading purposes, then what will you be doing with it? You can create a position blotter, watch list, profit and loss statement, trade history log, or a big price history database. These can then be used for current day and historical trend analysis, evaluating your trading performance using common statistics like standard deviation, sharpe ratio, drawdown, maximum drawdown, etc. There are virtually unlimited uses of Excel for trading workflows.
Best practices of Excel for trading involve planning your spreadsheet workflows and relationships so everything works together correctly and you can find what you need when you need it. You have a choice here of building a multiple spreadsheet environment or creating a single workbook with lots of tabs. The prior approach is modular and tends to work well because each separate workbook is for a specific purpose, small, and easy to manage. The downside is you may need to manage lots of links and Excel links have a tendency to break and get corrupted. Big workbooks with lots of sheets can be useful in Excel for trading since you have everything in one place. However, Excel tends to bog down and the files get huge when you start using more than 10,000 rows of data, charts, and multiple tabs together. It can also be a bit risky to have your whole daily trading operation in one file. Just make sure you back up your files in an external location every day!
Hopefully these concepts will be useful in kick starting your Excel for trading.
You should first ask yourself how you might use use Excel for trading. Will you just import prices and volume data into a spreadsheet? Do you intend to generate buy/sell signals? How about tracking positions, profits and losses in a spreadsheet? Do you have an existing trading software platform you'd like to integrate with? Would you consider building a complete Excel for trading system with VBA, formulas, price imports and other features?
Bringing price and volume data into a spreadsheet automatically is one way to implement Excel for trading. This uses DDE links to a price data database, either an internal or vendor provided database. DDE links are efficient and can capture fast moving prices (with certain limitations relevant to algorithmic trading). Importing price and volume data into Excel with web query functionality is an alternative to DDE links. This works if you want to capture a smaller volume of prices or economic data from websites like Yahoo Finance, Google Finance, etc. You can also import data into Excel using the Data from Other Sources function. This connects to SQL Server, MS Analysis Services, XML files and ODBC -- this is a good option for the technically minded.
Once you have your data into Excel for trading purposes, then what will you be doing with it? You can create a position blotter, watch list, profit and loss statement, trade history log, or a big price history database. These can then be used for current day and historical trend analysis, evaluating your trading performance using common statistics like standard deviation, sharpe ratio, drawdown, maximum drawdown, etc. There are virtually unlimited uses of Excel for trading workflows.
Best practices of Excel for trading involve planning your spreadsheet workflows and relationships so everything works together correctly and you can find what you need when you need it. You have a choice here of building a multiple spreadsheet environment or creating a single workbook with lots of tabs. The prior approach is modular and tends to work well because each separate workbook is for a specific purpose, small, and easy to manage. The downside is you may need to manage lots of links and Excel links have a tendency to break and get corrupted. Big workbooks with lots of sheets can be useful in Excel for trading since you have everything in one place. However, Excel tends to bog down and the files get huge when you start using more than 10,000 rows of data, charts, and multiple tabs together. It can also be a bit risky to have your whole daily trading operation in one file. Just make sure you back up your files in an external location every day!
Hopefully these concepts will be useful in kick starting your Excel for trading.
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