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S&P 500, gold, overseas indexes, and other currencies. After performing a search, you can choose a
                 number of ETFs that are traded in the U.S. markets that you can use to build your trading system.

                                The greater the number of observations you have in your regression analysis model,
                                the more accurate it will become. The minimum you should aim for is 100. Finding
                                this many observations should not be a problem: most ETFs have been around for
                     Essential    more than 1,000+ trading days.


                        As an example, you will learn how to build a model using ETF data and regression analysis that
                 uses decision science to help you determine the potential direction and percentage movement in the
                 AUD/USD currency pair. Your first task is to select the Currency Shares Australian Dollar Trust ETF (FXA)
                 as a proxy for the AUD/USD pair. The second task is to go through your list of ETFs that you found with
                 a Google search and choose which ETFs serve as proxies for a group of potential influencers in the
                 price movement in the FXA ETFs.

                        TABLE 9-1: ETFS TO USE AS DATA POINTS


                       Influencer of Target FX pair Symbol       Symbol
                       Dollar Index                              UUP
                       USD/EUR                                   FXE
                       USD/CHF                                   FXF
                       USD/JPY                                   FXY
                       U.S. Treasury Inflation-Protected Bonds   TIP
                       U.S. S&P 500 Index                        SPY
                       USD/SEK                                   FXS
                       U.S. S&P 500 Volatility Index             NIX*


                 *Not an ETF, but the actual Option Index Symbol


                        After selecting the above list of potential influencers and noting the symbol of the ETF that
                 tracks them, your next step is to gather the data. In this example, you would find the data points for
                 your financial model by looking up the individual symbols on a website such as Yahoo! Finance.




                 Steps to Retrieving Data from the Web

                 After you have decided on what indicators you would like to use in your model, the next step is to
                 begin downloading the information into a useable format. The easiest format to download into is MS
                 Excel. You can easily look up the historical closes of any indicator or ETF in the world, convert that data
                 to a spreadsheet, and download it into your Excel program on your laptop.

                 1. Go to a site such as http://finance.yahoo.com.
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