Metadata-Version: 2.1
Name: exchange-calendars
Version: 4.0.2
Summary: Calendars for securities exchanges
Home-page: https://github.com/gerrymanoim/exchange_calendars
Author: Gerry Manoim
Author-email: gerrymanoim@gmail.com
License: Apache 2.0
Project-URL: Bug Tracker, https://github.com/gerrymanoim/exchange_calendars/issues
Project-URL: Source Code, https://github.com/gerrymanoim/exchange_calendars
Keywords: finance,security,calendar,exchange
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Operating System :: OS Independent
Requires-Python: ~=3.8
Description-Content-Type: text/markdown
Provides-Extra: dev

# exchange_calendars

[![PyPI](https://img.shields.io/pypi/v/exchange-calendars)](https://pypi.org/project/exchange-calendars/) ![Python Support](https://img.shields.io/pypi/pyversions/exchange_calendars) ![PyPI Downloads](https://img.shields.io/pypi/dd/exchange-calendars) [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

A Python library for defining and querying calendars for security exchanges.

Calendars for more than [50 exchanges](#Calendars) available out-the-box! If you still can't find the calendar you're looking for, [create a new one](#How-can-I-create-a-new-calendar)!

### Notice: **[market_prices](https://github.com/maread99/market_prices) - the new library for prices data!**
Much of the recent development of `exchange_calendars` has been driven by the new [`market_prices`](https://github.com/maread99/market_prices) library. Check it out if you like the idea of using `exchange_calendars` to create meaningful OHLCV datasets. Works out-the-box with freely available data!

## Notice: **v4 released** (June 2022)

**The earliest stable version of v4 is 4.0.1** (not 4.0).

### What's changed?

Version 4.0.1 completes the transition to a more consistent interface across the package. The most significant changes are:

* **Sessions are now timezone-naive** (previously UTC).
* Schedule columns now have timezone set as UTC (whilst the times have always been defined in terms of UTC, previously the dtype was timezone-naive).
* The following schedule columns were renamed:
    * 'market_open' renamed as 'open'.
    * 'market_close' renamed as 'close'.
* Default calendar 'side' for all calendars is now "left" (previously "right" for 24-hour calendars and "both" for all others). This **changes the minutes that are considered trading minutes by default** (see [minutes tutorial](docs/tutorials/minutes.ipynb) for an explanation of trading minutes).
* The 'count' parameter of `sessions_window` and `minutes_window` methods now reflects the window length (previously window length + 1).
* New `is_open_at_time` calendar method to evaluate if an exchange is open as at a specific instance (as opposed to over an evaluated minute).
* The minimum Python version supported is now 3.8 (previously 3.7).
* Parameters have been renamed for some methods (list [here](#Methods-with-a-parameter-renamed-in-40))
* The following methods have been deprecated:
    * `sessions_opens` (use `.opens[start:end]`)
    * `sessions_closes` (use `.closes[start:end]`)
* Methods deprecated in 3.4 have been removed (lists [here](#Methods-renamed-in-version-34-and-removed-in-40) and [here](#Other-methods-deprecated-in-34-and-removed-in-40))

See the [4.0 release todo](https://github.com/gerrymanoim/exchange_calendars/issues/61) for a full list of changes and corresponding PRs.

Please offer any feedback at the [v4 discussion](https://github.com/gerrymanoim/exchange_calendars/discussions/202).

## Installation

```bash
$ pip install exchange_calendars
```

## Quick Start

```python
import exchange_calendars as xcals
```

Get a list of available calendars:

```python
>>> xcals.get_calendar_names(include_aliases=False)[5:10]
['CMES', 'IEPA', 'XAMS', 'XASX', 'XBKK']
```

Get a calendar:

```python
>>> xnys = xcals.get_calendar("XNYS")  # New York Stock Exchange
>>> xhkg = xcals.get_calendar(
        "XHKG", start="2018-01", end="2022-12-31",  # cover only specific period
)  # Hong Kong Stock Exchange
```
Query the schedule:

```python
>>> xhkg.schedule.loc["2021-12-29":"2022-01-04"]
```
<!-- base of output from `xhkg.schedule.loc["2021-12-29":"2022-01-04"].to_html()` -->
<table border="1" class="dataframe" style="width: 100%">
        <colgroup>
                <col span="1" style="width: 20%;">
                <col span="1" style="width: 20%;">
                <col span="1" style="width: 20%;">
                <col span="1" style="width: 20%;">
                <col span="1" style="width: 20%;">
        </colgroup>
        <thead>    <tr style="text-align: right; font-size: 13px">      <th></th>      <th>open</th>      <th>break_start</th>      <th>break_end</th>      <th>close</th>    </tr>  </thead>  <tbody style="text-align: right; font-size: 11px">    <tr>      <th>2021-12-29</th>      <td>2021-12-29 01:30:00+00:00</td>      <td>2021-12-29 04:00:00+00:00</td>      <td>2021-12-29 05:00:00+00:00</td>      <td>2021-12-29 08:00:00+00:00</td>    </tr>    <tr>      <th>2021-12-30</th>      <td>2021-12-30 01:30:00+00:00</td>      <td>2021-12-30 04:00:00+00:00</td>      <td>2021-12-30 05:00:00+00:00</td>      <td>2021-12-30 08:00:00+00:00</td>    </tr>    <tr>      <th>2021-12-31</th>      <td>2021-12-31 01:30:00+00:00</td>      <td>NaT</td>      <td>NaT</td>      <td>2021-12-31 04:00:00+00:00</td>    </tr>    <tr>      <th>2022-01-03</th>      <td>2022-01-03 01:30:00+00:00</td>      <td>2022-01-03 04:00:00+00:00</td>      <td>2022-01-03 05:00:00+00:00</td>      <td>2022-01-03 08:00:00+00:00</td>    </tr>    <tr>      <th>2022-01-04</th>      <td>2022-01-04 01:30:00+00:00</td>      <td>2022-01-04 04:00:00+00:00</td>      <td>2022-01-04 05:00:00+00:00</td>      <td>2022-01-04 08:00:00+00:00</td>    </tr>  </tbody>
</table>

### Working with **sessions**
```python
>>> xnys.is_session("2022-01-01")
False

>>> xnys.sessions_in_range("2022-01-01", "2022-01-11")
DatetimeIndex(['2022-01-03', '2022-01-04', '2022-01-05', '2022-01-06',
               '2022-01-07', '2022-01-10', '2022-01-11'],
              dtype='datetime64[ns]', freq='C')

>>> xnys.sessions_window("2022-01-03", 7)
DatetimeIndex(['2022-01-03', '2022-01-04', '2022-01-05', '2022-01-06',
               '2022-01-07', '2022-01-10', '2022-01-11'],
              dtype='datetime64[ns]', freq='C')

>>> xnys.date_to_session("2022-01-01", direction="next")
Timestamp('2022-01-03 00:00:00', freq='C')

>>> xnys.previous_session("2022-01-11")
Timestamp('2022-01-10 00:00:00', freq='C')

>>> xhkg.trading_index(
...     "2021-12-30", "2021-12-31", period="90T", force=True
... )
IntervalIndex([[2021-12-30 01:30:00, 2021-12-30 03:00:00), [2021-12-30 03:00:00, 2021-12-30 04:00:00), [2021-12-30 05:00:00, 2021-12-30 06:30:00), [2021-12-30 06:30:00, 2021-12-30 08:00:00), [2021-12-31 01:30:00, 2021-12-31 03:00:00), [2021-12-31 03:00:00, 2021-12-31 04:00:00)], dtype='interval[datetime64[ns, UTC], left]')
```
See the [sessions tutorial](docs/tutorials/sessions.ipynb) for a deeper dive into sessions.

### Working with **minutes**
```python
>>> xhkg.session_minutes("2022-01-03")
DatetimeIndex(['2022-01-03 01:30:00+00:00', '2022-01-03 01:31:00+00:00',
               '2022-01-03 01:32:00+00:00', '2022-01-03 01:33:00+00:00',
               '2022-01-03 01:34:00+00:00', '2022-01-03 01:35:00+00:00',
               '2022-01-03 01:36:00+00:00', '2022-01-03 01:37:00+00:00',
               '2022-01-03 01:38:00+00:00', '2022-01-03 01:39:00+00:00',
               ...
               '2022-01-03 07:50:00+00:00', '2022-01-03 07:51:00+00:00',
               '2022-01-03 07:52:00+00:00', '2022-01-03 07:53:00+00:00',
               '2022-01-03 07:54:00+00:00', '2022-01-03 07:55:00+00:00',
               '2022-01-03 07:56:00+00:00', '2022-01-03 07:57:00+00:00',
               '2022-01-03 07:58:00+00:00', '2022-01-03 07:59:00+00:00'],
              dtype='datetime64[ns, UTC]', length=330, freq=None)

>>> mins = [ "2022-01-03 " + tm for tm in ["01:29", "01:30", "04:20", "07:59", "08:00"] ]
>>> [ xhkg.is_trading_minute(minute) for minute in mins ]
[False, True, False, True, False]  # by default minutes are closed on the left side

>>> xhkg.is_break_minute("2022-01-03 04:20")
True

>>> xhkg.previous_close("2022-01-03 08:10")
Timestamp('2022-01-03 08:00:00+0000', tz='UTC')

>>> xhkg.previous_minute("2022-01-03 08:10")
Timestamp('2022-01-03 07:59:00+0000', tz='UTC')
```
Check out the [minutes tutorial](docs/tutorials/minutes.ipynb) for a deeper dive that includes an explanation of the concept of 'minutes' and how the "side" option determines which minutes are treated as trading minutes.

## Tutorials
* [sessions.ipynb](docs/tutorials/sessions.ipynb) - all things [sessions](#Working-with-sessions).
* [minutes.ipynb](docs/tutorials/minutes.ipynb) - all things [minutes](#Working-with-minutes). Don't miss this one!
* [calendar_properties.ipynb](docs/tutorials/calendar_properties.ipynb) - calendar constrution and a walk through the schedule and all other calendar properties.
* [calendar_methods.ipynb](docs/tutorials/calendar_methods.ipynb) - a walk through all the methods available to interrogate a calendar.
* [trading_index.ipynb](docs/tutorials/trading_index.ipynb) - a method that warrants a tutorial all of its own.

Hopefully you'll find that `exchange_calendars` has the method you need to get the information you want. If it doesn't, either [PR](https://github.com/gerrymanoim/exchange_calendars/pulls) it or [raise an issue](https://github.com/gerrymanoim/exchange_calendars/issues) and let us know!

## Command Line Usage
Print a unix-cal like calendar straight from the command line (holidays are indicated by brackets)...

```bash
ecal XNYS 2020
```
                                            2020
            January                        February                        March
    Su  Mo  Tu  We  Th  Fr  Sa     Su  Mo  Tu  We  Th  Fr  Sa     Su  Mo  Tu  We  Th  Fr  Sa
                [ 1]  2   3 [ 4]                           [ 1]
    [ 5]  6   7   8   9  10 [11]   [ 2]  3   4   5   6   7 [ 8]   [ 1]  2   3   4   5   6 [ 7]
    [12] 13  14  15  16  17 [18]   [ 9] 10  11  12  13  14 [15]   [ 8]  9  10  11  12  13 [14]
    [19][20] 21  22  23  24 [25]   [16][17] 18  19  20  21 [22]   [15] 16  17  18  19  20 [21]
    [26] 27  28  29  30  31        [23] 24  25  26  27  28 [29]   [22] 23  24  25  26  27 [28]
                                                                  [29] 30  31

            April                           May                            June
    Su  Mo  Tu  We  Th  Fr  Sa     Su  Mo  Tu  We  Th  Fr  Sa     Su  Mo  Tu  We  Th  Fr  Sa
                  1   2   3 [ 4]                         1 [ 2]         1   2   3   4   5 [ 6]
    [ 5]  6   7   8   9 [10][11]   [ 3]  4   5   6   7   8 [ 9]   [ 7]  8   9  10  11  12 [13]
    [12] 13  14  15  16  17 [18]   [10] 11  12  13  14  15 [16]   [14] 15  16  17  18  19 [20]
    [19] 20  21  22  23  24 [25]   [17] 18  19  20  21  22 [23]   [21] 22  23  24  25  26 [27]
    [26] 27  28  29  30            [24][25] 26  27  28  29 [30]   [28] 29  30
                                   [31]

                July                          August                       September
    Su  Mo  Tu  We  Th  Fr  Sa     Su  Mo  Tu  We  Th  Fr  Sa     Su  Mo  Tu  We  Th  Fr  Sa
                  1   2 [ 3][ 4]                           [ 1]             1   2   3   4 [ 5]
    [ 5]  6   7   8   9  10 [11]   [ 2]  3   4   5   6   7 [ 8]   [ 6][ 7]  8   9  10  11 [12]
    [12] 13  14  15  16  17 [18]   [ 9] 10  11  12  13  14 [15]   [13] 14  15  16  17  18 [19]
    [19] 20  21  22  23  24 [25]   [16] 17  18  19  20  21 [22]   [20] 21  22  23  24  25 [26]
    [26] 27  28  29  30  31        [23] 24  25  26  27  28 [29]   [27] 28  29  30
                                   [30] 31

            October                        November                       December
    Su  Mo  Tu  We  Th  Fr  Sa     Su  Mo  Tu  We  Th  Fr  Sa     Su  Mo  Tu  We  Th  Fr  Sa
                      1   2 [ 3]                                            1   2   3   4 [ 5]
    [ 4]  5   6   7   8   9 [10]   [ 1]  2   3   4   5   6 [ 7]   [ 6]  7   8   9  10  11 [12]
    [11] 12  13  14  15  16 [17]   [ 8]  9  10  11  12  13 [14]   [13] 14  15  16  17  18 [19]
    [18] 19  20  21  22  23 [24]   [15] 16  17  18  19  20 [21]   [20] 21  22  23  24 [25][26]
    [25] 26  27  28  29  30 [31]   [22] 23  24  25 [26] 27 [28]   [27] 28  29  30  31
                                   [29] 30

```bash
ecal XNYS 1 2020
```

            January 2020
    Su  Mo  Tu  We  Th  Fr  Sa
                [ 1]  2   3 [ 4]
    [ 5]  6   7   8   9  10 [11]
    [12] 13  14  15  16  17 [18]
    [19][20] 21  22  23  24 [25]
    [26] 27  28  29  30  31

## Frequently Asked Questions

### **How can I create a new calendar?**

First off, make sure the calendar you're after hasn't already been defined; exchange calendars comes with over [50 pre-defined calendars](#Calendars), including major security exchanges.

If you can't find what you're after, a custom calendar can be created as a subclass of [ExchangeCalendar](exchange_calendars/exchange_calendar.py). [This workflow](.github/pull_request_template.md) describes the process to add a new calendar to `exchange_calendars`. Just follow the relevant parts.

To access the new calendar via `get_calendar` call either `xcals.register_calendar` or `xcals.register_calendar_type` to register, respectively, a specific calendar instance or a calendar factory (i.e. the subclass).

### **Can I contribute a new calendar to exchange calendars?**

Yes please! The workflow can be found [here](.github/pull_request_template.md).

### **`<calendar>` is missing a holiday, has a wrong time, should have a break etc...**

**All** of the exchange calendars are maintained by user contributions. If a calendar you care about needs revising, please open a [PR](https://github.com/gerrymanoim/exchange_calendars/pulls) - that's how this thing works!

You'll find the workflow to modify an existing calendar [here](.github/pull_request_template.md).

### **What times are considered open and closed?**

`exchange_calendars` attempts to be broadly useful by considering an exchange to be open only during periods of regular trading. During any pre-trading, post-trading or auction period the exchange is treated as closed. An exchange is also treated as closed during any observed lunch break.

See the [minutes tutorial](docs/tutorials/minutes.ipynb) for a detailed explanation of which minutes an exchange is considered open over. If you previously used `trading_calendars`, or `exchange_calendars` prior to release 3.4, then this is the place to look for answers to questions of how the definition of trading minutes has changed over time (and is now stable and flexible!).

## Calendars

| Exchange                        | ISO Code | Country        | Version Added | Exchange Website (English)                                   |
| ------------------------------- | -------- | -------------- | ------------- | ------------------------------------------------------------ |
| New York Stock Exchange         | XNYS     | USA            | 1.0           | https://www.nyse.com/index                                   |
| CBOE Futures                    | XCBF     | USA            | 1.0           | https://markets.cboe.com/us/futures/overview/                |
| Chicago Mercantile Exchange     | CMES     | USA            | 1.0           | https://www.cmegroup.com/                                    |
| ICE US                          | IEPA     | USA            | 1.0           | https://www.theice.com/index                                 |
| Toronto Stock Exchange          | XTSE     | Canada         | 1.0           | https://www.tsx.com/                                         |
| BMF Bovespa                     | BVMF     | Brazil         | 1.0           | http://www.b3.com.br/en_us/                                  |
| London Stock Exchange           | XLON     | England        | 1.0           | https://www.londonstockexchange.com/                         |
| Euronext Amsterdam              | XAMS     | Netherlands    | 1.2           | https://www.euronext.com/en/regulation/amsterdam             |
| Euronext Brussels               | XBRU     | Belgium        | 1.2           | https://www.euronext.com/en/regulation/brussels              |
| Euronext Lisbon                 | XLIS     | Portugal       | 1.2           | https://www.euronext.com/en/regulation/lisbon                |
| Euronext Paris                  | XPAR     | France         | 1.2           | https://www.euronext.com/en/regulation/paris                 |
| Frankfurt Stock Exchange        | XFRA     | Germany        | 1.2           | http://en.boerse-frankfurt.de/                               |
| SIX Swiss Exchange              | XSWX     | Switzerland    | 1.2           | https://www.six-group.com/en/home.html                       |
| Tokyo Stock Exchange            | XTKS     | Japan          | 1.2           | https://www.jpx.co.jp/english/                               |
| Austrialian Securities Exchange | XASX     | Australia      | 1.3           | https://www.asx.com.au/                                      |
| Bolsa de Madrid                 | XMAD     | Spain          | 1.3           | https://www.bolsamadrid.es                                   |
| Borsa Italiana                  | XMIL     | Italy          | 1.3           | https://www.borsaitaliana.it                                 |
| New Zealand Exchange            | XNZE     | New Zealand    | 1.3           | https://www.nzx.com/                                         |
| Wiener Borse                    | XWBO     | Austria        | 1.3           | https://www.wienerborse.at/en/                               |
| Hong Kong Stock Exchange        | XHKG     | Hong Kong      | 1.3           | https://www.hkex.com.hk/?sc_lang=en                          |
| Copenhagen Stock Exchange       | XCSE     | Denmark        | 1.4           | http://www.nasdaqomxnordic.com/                              |
| Helsinki Stock Exchange         | XHEL     | Finland        | 1.4           | http://www.nasdaqomxnordic.com/                              |
| Stockholm Stock Exchange        | XSTO     | Sweden         | 1.4           | http://www.nasdaqomxnordic.com/                              |
| Oslo Stock Exchange             | XOSL     | Norway         | 1.4           | https://www.oslobors.no/ob_eng/                              |
| Irish Stock Exchange            | XDUB     | Ireland        | 1.4           | http://www.ise.ie/                                           |
| Bombay Stock Exchange           | XBOM     | India          | 1.5           | https://www.bseindia.com                                     |
| Singapore Exchange              | XSES     | Singapore      | 1.5           | https://www.sgx.com                                          |
| Shanghai Stock Exchange         | XSHG     | China          | 1.5           | http://english.sse.com.cn                                    |
| Korea Exchange                  | XKRX     | South Korea    | 1.6           | http://global.krx.co.kr                                      |
| Iceland Stock Exchange          | XICE     | Iceland        | 1.7           | http://www.nasdaqomxnordic.com/                              |
| Poland Stock Exchange           | XWAR     | Poland         | 1.9           | http://www.gpw.pl                                            |
| Santiago Stock Exchange         | XSGO     | Chile          | 1.9           | https://www.bolsadesantiago.com/                             |
| Colombia Securities Exchange    | XBOG     | Colombia       | 1.9           | https://www.bvc.com.co/nueva/https://www.bvc.com.co/nueva/   |
| Mexican Stock Exchange          | XMEX     | Mexico         | 1.9           | https://www.bmv.com.mx                                       |
| Lima Stock Exchange             | XLIM     | Peru           | 1.9           | https://www.bvl.com.pe                                       |
| Prague Stock Exchange           | XPRA     | Czech Republic | 1.9           | https://www.pse.cz/en/                                       |
| Budapest Stock Exchange         | XBUD     | Hungary        | 1.10          | https://bse.hu/                                              |
| Athens Stock Exchange           | ASEX     | Greece         | 1.10          | http://www.helex.gr/                                         |
| Istanbul Stock Exchange         | XIST     | Turkey         | 1.10          | https://www.borsaistanbul.com/en/                            |
| Johannesburg Stock Exchange     | XJSE     | South Africa   | 1.10          | https://www.jse.co.za/z                                      |
| Malaysia Stock Exchange         | XKLS     | Malaysia       | 1.11          | http://www.bursamalaysia.com/market/                         |
| Moscow Exchange                 | XMOS     | Russia         | 1.11          | https://www.moex.com/en/                                     |
| Philippine Stock Exchange       | XPHS     | Philippines    | 1.11          | https://www.pse.com.ph/                                      |
| Stock Exchange of Thailand      | XBKK     | Thailand       | 1.11          | https://www.set.or.th/set/mainpage.do?language=en&country=US |
| Indonesia Stock Exchange        | XIDX     | Indonesia      | 1.11          | https://www.idx.co.id/                                       |
| Taiwan Stock Exchange Corp.     | XTAI     | Taiwan         | 1.11          | https://www.twse.com.tw/en/                                  |
| Buenos Aires Stock Exchange     | XBUE     | Argentina      | 1.11          | https://www.bcba.sba.com.ar/                                 |
| Pakistan Stock Exchange         | XKAR     | Pakistan       | 1.11          | https://www.psx.com.pk/                                      |
| Xetra                           | XETR     | Germany        | 2.1           | https://www.xetra.com/                                       |
| Tel Aviv Stock Exchange         | XTAE     | Israel         | 2.1           | https://www.tase.co.il/                                      |
| Astana International Exchange   | AIXK     | Kazakhstan     | 3.2           | https://www.aix.kz/                                          |
| Bucharest Stock Exchange        | XBSE     | Romania        | 3.2           | https://www.bvb.ro/                                          |

> Note that exchange calendars are defined by their [ISO-10383](https://www.iso20022.org/10383/iso-10383-market-identifier-codes) market identifier code.

## Deprecations and Renaming

### Methods deprecated in 4.0
| Deprecated method | Reason |
| ----------------- | ------ |
| sessions_closes | use `.closes[start:end]` |
| sessions_opens | use `.opens[start:end]` |

### Methods with a parameter renamed in 4.0
| Method
| ------
| is_session |
| is_open_on_minute |
| minutes_in_range |
| minutes_window |
| next_close |
| next_minute |
| next_open |
| previous_close |
| previous_minute |
| previous_open |
| session_break_end |
| session_break_start |
| session_close |
| session_open |
| sessions_in_range |
| sessions_window |

### Methods renamed in version 3.4 and removed in 4.0
| Previous name | New name |
| ------------- | -------- |
| all_minutes | minutes |
| all_minutes_nanos | minutes_nanos |
| all_sessions | sessions |
| break_start_and_end_for_session | session_break_start_end |
| date_to_session_label | date_to_session |
| first_trading_minute | first_minute |
| first_trading_session | first_session |
| has_breaks | sessions_has_break |
| last_trading_minute | last_minute |
| last_trading_session | last_session |
| next_session_label | next_session |
| open_and_close_for_session | session_open_close |
| previous_session_label | previous_session |
| market_break_ends_nanos | break_ends_nanos |
| market_break_starts_nanos | break_starts_nanos |
| market_closes_nanos | closes_nanos |
| market_opens_nanos | opens_nanos |
| minute_index_to_session_labels | minutes_to_sessions |
| minute_to_session_label | minute_to_session |
| minutes_count_for_sessions_in_range | sessions_minutes_count |
| minutes_for_session | session_minutes |
| minutes_for_sessions_in_range | sessions_minutes |
| session_closes_in_range | sessions_closes |
| session_distance | sessions_distance |
| session_opens_in_range | sessions_opens |

### Other methods deprecated in 3.4 and removed in 4.0
| Removed Method
| -----------------
| execution_minute_for_session
| execution_minute_for_sessions_in_range
| execution_time_from_close
| execution_time_from_open
