Hi Rohit,

Thank you once again. I'm such a beginner that I have to work through the examples many times to understand. I was thinking that Moving Average is a financial indicator, but now I see it's in the drop down list, which means it's built-in WL. Whereas RateOfChange is not in the drop down list. I'm going to practice more tonight. Very grateful for your help on this..

Hi Rohit,

Thanks for the further explanation. I'm not familiar with the terminology - I meant that I didn't find // Normal in any of my searches to obtain date/value pairs. I saw things including "List", which didn't work. Anyhow, I think we're saying the same thing about // Normal and date value pairs. I'm going to review the other examples you provided tonight to understand the different applications of Normal.

I was using the search function on Wolfram as a learning tool, copying and pasting some examples into a notebook, but sometimes they wouldn't run when I entered information such as dates: Your examples are very helpful for learning the formatting which differs from the cut and paste examples I used.

I've tried some tutorials and seem to do okay with the examples, but I'm not yet able to apply the skills when defining my own searches. I will have to put more time aside to review interactive book, too. I have zero programming knowledge. But this looks amazing! I have so many things that I want to try, but I need to learn the language first.

Once again, thanks for your thorough guidance on these examples and learning tools. Very helpful and much appreciated.

Regards, Rachel

Hi Rachel,

the // Normal instruction in any of my searches on how to create a list from a chart

Normal is not creating a list from a chart. FinancialData returns a TimeSeries which is shown in the frontend in graphical form. Normal, when applied to a TimeSeries, returns the list of date/value pairs. In general Normal can be used to look at the underlying data for objects that are represented in graphical/icon form by the frontend. E.g. sa = SparseArray[{{1, 1} -> 1, {2, 2} -> 2, {3, 3} -> 3, {1, 3} -> 4}] Normal@sa

sales = Import["ExampleData/RetailSales.tsv", "Dataset"]
Normal@sales

You can also use TradingChart with a "SimpleMovingAverage" FinancialIndicator. E.g.

TradingChart[{"IBM", {{2022, 1, 1}, {2022, 9, 1}}}, 
 {"BollingerBands",FinancialIndicator["SimpleMovingAverage", 50]}]

The chart is dynamic, hover over it.

If you are new to the Wolfram Language, take a look at the free online interactive book by Stephen Wolfram.