## Indexing a Financial Time Series Object

You can also index into the object as with any other MATLAB® variable or structure. A financial time series object lets you use a date character vector, a cell array of date character vectors, a date character vector range, or normal integer indexing. You cannot, however, index into the object using serial dates. If you have serial dates, you must first use the MATLAB `datestr` command to convert them into date character vectors.

When indexing by date character vector, note that

• Each date character vector must contain the day, month, and year. Valid formats are

• `'ddmmmyy hh:mm'` or ```'ddmmmyyyy hh:mm'```

• `'mm/dd/yy hh:mm'` or ```'mm/dd/yyyy hh:mm'```

• `'dd-mmm-yy hh:mm'` or ```'dd-mmm-yyyy hh:mm'```

• `'mmm.dd,yy hh:mm'` or ```'mmm.dd,yyyy hh:mm'```

• All data falls at the end of the indicated time period, that is, weekly data falls on Fridays, monthly data falls on the end of each month, and so on, whenever the data has gone through a frequency conversion.

### Indexing with Date Character Vectors

With date character vector indexing, you get the values in a financial time series object for a specific date using a date character vector as the index into the object. Similarly, if you want values for multiple dates in the object, you can put those date character vectors into a cell array of character vectors and use the cell array as the index to the object. Here are some examples.

This example extracts all values for May 11, 1999 from `myfts`:

```format short myfts1('05/11/99')```
```Warning: FINTS will be removed in a future release. Use TIMETABLE instead. > In fints/subsref (line 106) ans = desc: (none) freq: Unknown (0) 'dates: (1)' 'series1: (1)' 'series2: (1)' '11-May-1999' [ 2.8108] [ 0.9323] ```

The next example extracts only `series2` values for May 11, 1999 from `myfts`:

`myfts1.series2('05/11/99')`
```Warning: FINTS will be removed in a future release. Use TIMETABLE instead. > In fints/subsref (line 106) ans = desc: (none) freq: Unknown (0) 'dates: (1)' 'series2: (1)' '11-May-1999' [ 0.9323] ```

The third example extracts all values for three different dates:

`myfts1({'05/11/99', '05/21/99', '05/31/99'})`
```Warning: FINTS will be removed in a future release. Use TIMETABLE instead. > In fints/subsref (line 106) ans = desc: (none) freq: Unknown (0) 'dates: (3)' 'series1: (3)' 'series2: (3)' '11-May-1999' [ 2.8108] [ 0.9323] '21-May-1999' [ 0.9050] [ 1.2445] '31-May-1999' [ 1.4266] [ 0.6470] ```

The next example extracts only `series2` values for the same three dates:

`myfts1.series2({'05/11/99', '05/21/99', '05/31/99'})`
```Warning: FINTS will be removed in a future release. Use TIMETABLE instead. > In fints/subsref (line 106) ans = desc: (none) freq: Unknown (0) 'dates: (3)' 'series2: (3)' '11-May-1999' [ 0.9323] '21-May-1999' [ 1.2445] '31-May-1999' [ 0.6470]```

### Indexing with Date Character Vector Range

A financial time series is unique because it allows you to index into the object using a date character vector range. A date character vector range consists of two date character vector separated by two colons (`::`). In MATLAB this separator is called the double-colon operator. An example of a MATLAB date character vector range is `'05/11/99::05/31/99'`. The operator gives you all data points available between those dates, including the start and end dates.

Here are some date character vector range examples:

`myfts1 ('05/11/99::05/15/99')`
```Warning: FINTS will be removed in a future release. Use TIMETABLE instead. > In fints/subsref (line 106) ans = desc: (none) freq: Unknown (0) 'dates: (5)' 'series1: (5)' 'series2: (5)' '11-May-1999' [ 2.8108] [ 0.9323] '12-May-1999' [ 0.2454] [ 0.5608] '13-May-1999' [ 0.3568] [ 1.5989] '14-May-1999' [ 0.5255] [ 3.6682] '15-May-1999' [ 1.1862] [ 5.1284] ```
`myfts1.series2('05/11/99::05/15/99')`
```Warning: FINTS will be removed in a future release. Use TIMETABLE instead. > In fints/subsref (line 106) ans = desc: (none) freq: Unknown (0) 'dates: (5)' 'series2: (5)' '11-May-1999' [ 0.9323] '12-May-1999' [ 0.5608] '13-May-1999' [ 1.5989] '14-May-1999' [ 3.6682] '15-May-1999' [ 5.1284]```

As with any other MATLAB variable or structure, you can assign the output to another object variable:

```nfts = myfts1.series2('05/11/99::05/20/99'); ```
```Warning: FINTS will be removed in a future release. Use TIMETABLE instead. > In fints/subsref (line 106) ```

`nfts` is the same as `ans` in the second example.

If one of the dates does not exist in the object, an error message indicates that one or both date indexes are out of the range of the available dates in the object. You can either display the contents of the object or use the command `ftsbound` to determine the first and last dates in the object.

### Indexing with Integers

Integer indexing is the normal form of indexing in MATLAB. Indexing starts at `1` (not `0`); index = `1` corresponds to the first element, index = `2` to the second element, index = `3` to the third element, and so on. Here are some examples with and without data series reference.

Get the first item in `series2`:

`myfts1.series2(1)`
```Warning: FINTS will be removed in a future release. Use TIMETABLE instead. > In fints/subsref (line 106) ans = desc: (none) freq: Unknown (0) 'dates: (1)' 'series2: (1)' '11-May-1999' [ 0.9323] ```

Get the first, third, and fifth items in `series2`:

`myfts1.series2([1, 3, 5])`
```Warning: FINTS will be removed in a future release. Use TIMETABLE instead. > In fints/subsref (line 106) ans = desc: (none) freq: Unknown (0) 'dates: (3)' 'series2: (3)' '11-May-1999' [ 0.9323] '13-May-1999' [ 1.5989] '15-May-1999' [ 5.1284] ```

Get items 16 through 20 in `series2`:

`myfts1.series2(16:20)`
```Warning: FINTS will be removed in a future release. Use TIMETABLE instead. > In fints/subsref (line 106) ans = desc: (none) freq: Unknown (0) 'dates: (5)' 'series2: (5)' '26-May-1999' [ 0.2105] '27-May-1999' [ 1.8916] '28-May-1999' [ 0.6673] '29-May-1999' [ 0.6681] '30-May-1999' [ 1.0877] ```

Get items 16 through 20 in the financial time series object `myfts`:

`myfts1(16:20)`
```Warning: FINTS will be removed in a future release. Use TIMETABLE instead. > In fints/subsref (line 106) ans = desc: (none) freq: Unknown (0) 'dates: (5)' 'series1: (5)' 'series2: (5)' '26-May-1999' [ 0.7571] [ 0.2105] '27-May-1999' [ 1.2425] [ 1.8916] '28-May-1999' [ 1.8790] [ 0.6673] '29-May-1999' [ 0.5778] [ 0.6681] '30-May-1999' [ 1.2581] [ 1.0877] ```

Get the last item in `myfts1`:

`myfts1(end)`
```Warning: FINTS will be removed in a future release. Use TIMETABLE instead. > In fints/end (line 57) Warning: FINTS will be removed in a future release. Use TIMETABLE instead. > In fints/subsref (line 106) Warning: FINTS will be removed in a future release. Use TIMETABLE instead. > In fints/display (line 66) ans = desc: (none) freq: Unknown (0) 'dates: (1)' 'series1: (1)' 'series2: (1)' '19-Aug-1999' [ 1.4692] [ 3.4238] ```

This example uses the MATLAB special variable `end`, which points to the last element of the object when used as an index. The example returns an object whose contents are the values in the object `myfts` on the last date entry.

### Indexing When Time-of-Day Data Is Present

Both integer and date character vector indexing are permitted when time-of-day information is present in the financial time series object. You can index into the object with both date and time specifications, but not with time of day alone. To show how indexing works with time-of-day data present, create a financial time series object called `timeday` containing a time specification:

```dates = ['01-Jan-2001';'01-Jan-2001'; '02-Jan-2001'; ... '02-Jan-2001'; '03-Jan-2001';'03-Jan-2001']; times = ['11:00';'12:00';'11:00';'12:00';'11:00';'12:00']; dates_times = cellstr([dates, repmat(' ',size(dates,1),1),... times]); timeday = fints(dates_times,(1:6)',{'Data1'},1,'My first FINTS') ```
```Warning: FINTS will be removed in a future release. Use TIMETABLE instead. > In fints (line 165) Warning: FINTS will be removed in a future release. Use TIMETABLE instead. > In fints/display (line 66) timeday = desc: My first FINTS freq: Daily (1) 'dates: (6)' 'times: (6)' 'Data1: (6)' '01-Jan-2001' '11:00' [ 1] ' " ' '12:00' [ 2] '02-Jan-2001' '11:00' [ 3] ' " ' '12:00' [ 4] '03-Jan-2001' '11:00' [ 5] ' " ' '12:00' [ 6] ```

Use integer indexing to extract the second and third data items from `timeday`:

```timeday(2:3) ```
```Warning: FINTS will be removed in a future release. Use TIMETABLE instead. > In fints (line 165) Warning: FINTS will be removed in a future release. Use TIMETABLE instead. > In fints/display (line 66) ans = desc: My first FINTS freq: Daily (1) 'dates: (2)' 'times: (2)' 'Data1: (2)' '01-Jan-2001' '12:00' [ 2] '02-Jan-2001' '11:00' [ 3] ```

For date character vector indexing, enclose the date and time character vectors in one pair of quotation marks. If there is one date with multiple times, indexing with only the date returns the data for all the times for that specific date. For example, the command `timeday('01-Jan-2001')` returns the data for all times on January 1, 2001:

```Warning: FINTS will be removed in a future release. Use TIMETABLE instead. > In fints (line 165) Warning: FINTS will be removed in a future release. Use TIMETABLE instead. > In fints/display (line 66) ans = desc: My first FINTS freq: Daily (1) 'dates: (2)' 'times: (2)' 'Data1: (2)' '01-Jan-2001' '11:00' [ 1] ' " ' '12:00' [ 2]```

You can also indicate a specific date and time:

`timeday('01-Jan-2001 12:00')`
```Warning: FINTS will be removed in a future release. Use TIMETABLE instead. > In fints (line 165) Warning: FINTS will be removed in a future release. Use TIMETABLE instead. > In fints/display (line 66) ans = desc: My first FINTS freq: Daily (1) 'dates: (1)' 'times: (1)' 'Data1: (1)' '01-Jan-2001' '12:00' [ 2] ```

Use the double-colon operator `::` to specify a range of dates and times:

`timeday('01-Jan-2001 12:00::03-Jan-2001 11:00')`
```Warning: FINTS will be removed in a future release. Use TIMETABLE instead. > In fints (line 165) Warning: FINTS will be removed in a future release. Use TIMETABLE instead. > In fints/display (line 66) ans = desc: My first FINTS freq: Daily (1) 'dates: (4)' 'times: (4)' 'Data1: (4)' '01-Jan-2001' '12:00' [ 2] '02-Jan-2001' '11:00' [ 3] ' " ' '12:00' [ 4] '03-Jan-2001' '11:00' [ 5] ```

Treat `timeday` as a MATLAB structure if you want to obtain the contents of a specific field. For example, to find the times of day included in this object, enter

`datestr(timeday.times)`
```Warning: FINTS will be removed in a future release. Use TIMETABLE instead. > In fints/subsref (line 106) ans = 11:00 AM 12:00 PM 11:00 AM 12:00 PM 11:00 AM 12:00 PM ```