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So one of the reasons I kept this example relatively simple is that I really want you to test your own

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ideas out for yourself.

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You might be wondering what if I added in different features like prices of other stocks or foreign

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exchange or even the weather, or maybe adding different features is useless and it's better to only

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have the Target Time series.

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What if you would use auto or hyper parameter optimization?

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Will that improve your results?

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These are all excellent questions to answer using what you've learned.

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Basically, the number of experiments you can do is combinatorial.

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This section was focused on showing you how to use the US forecast service so that you know how it works

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using almost the simplest example possible.

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The simplest example would be a one time series with no additional features, but I thought it would

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be useful to include the related Time series as well.

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So you can see how it works.

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So the exercise for this section is this first and foremost, if you have any questions about what if

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I tried this or what if I tried that, then the answer is, as always, to actually do it.

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The only way you will know how something will perform is if you actually try it and look at the output.

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If you have a favorite time series that you would like to forecast and you think an industrial strength

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enterprise solution like a US forecast will help give that a try.

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I also encourage you to extend the example we did in various ways, as mentioned, the possibilities

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are really combinatorial, but here are some ideas.

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No.

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One, try multiple stock tickers at once.

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As you recall, we only use the S&amp;P 500.

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It would be interesting to see whether performance improves when we learn from several stock price time

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series instead of just one.

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No, to try the same example with stock returns instead of stock prices.

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Well, stationery help number three, try hourly data instead of daily data, see if more granularity

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helps improve accuracy.

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Number four, try exogenous data.

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For example, use another API to grab news headlines or Twitter feeds and maybe perform sentiment analysis

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as well.

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OK, so I hope this gave you some ideas for what you might want to try in order to complete this exercise.

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Really, the goal is to use this for something which you are interested in.

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So if you have any burning questions or ideas you think might work.

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Now is the time to test them out.
