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Tuesday, 12 May 2015

Excel For Trading Models - Using Excel's Capabilities To Make Money

By Carl Keenan


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.

There are many ways to use Excel for trading, and your first consideration should be narrowing down your intended use of the tool. Will you use it to compute trading signals? Is your interest importing data automatically into Excel? How about calculating profits, drawdowns, risk and other analytics? Do you have many open positions you need to track? Would you like to integrate Excel with a charting platform? Are you interested in automating your workbooks with VBA to increase speed and accuracy?

There are a variety of functional options you can go with. Stock and futures watch lists are popular. These can be quite elaborate with multiple prices, colors, positions, profits, losses, etc. Real time or end of day P&L reports can be built to track your performance across trades. Tracking portfolio performance and attribution is another use. A trading log where you record your trade decision steps, emotions and results on each trade can help develop discipline and consistency. The main uses for Excel in trading include signal generation, risk and trade management. Many of these data points can be charted to provide a "one look" view.

Using Excel for trading is highly dependent on data. Importing prices and fundamental data into Excel automatically is a great first step to implement Excel for trading. In fact, not much else can be achieved until you import data, so this is a basic foundation step. There are multiple ways to do this. DDE links can be used to import data from a data vendor. Your broker's API can be used to connect to the actual prices your broker uses. Internal or vendor provided databases can be connected using SQL or web queries. How you implement the data import will have a lot to do with your strategy and the data types you want. For automated intraday trading with fast moving prices a DDE link is best. The Data from Other Sources function in Excel uses SQL Server, XML files or ODBC to connect to a database if you have one internally at your office or home. Web queries can work for end of day and fundamental quarterly type data. Economic data comes out infrequently so speed is not an issue.

You should spend some time planning your spreadsheet designs before you implement Excel for trading. A good modular design helps understand the data flows and makes testing for accuracy much easier. Being able to find what you need when you need it is critical during a trading session. Several simple spreadsheets linked together can often be better and more efficiency than a single large spreadsheet with multiple tabs. It really depends on your preference and your system resources available. As you build out your spreadsheets keep in mind that it's easier to manage small workbooks and the tend to run faster. Whether you have single or multiple workbooks, each spreadsheet should have a specific purpose. A few caveats: external links can become corrupted and slow things down so be careful with them. More than 15,000 rows of data can slow Excel down. Make sure you back things up regularly. Charts should be used sparingly for intraday use, as your charting program is probably much better at this than Excel and charts tend to bloat your files.

Hopefully these concepts will be useful in kick starting your Excel for trading.




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