A Python library for defining and querying calendars for security exchanges.
Calendars for more than 50 exchanges available out-the-box! If you still can't find the calendar you're looking for, create a new one!
$ pip install exchange_calendars
import exchange_calendars as xcals
Get a list of available calendars:
>>> xcals.get_calendar_names(include_aliases=False)[5:10]
['CMES', 'IEPA', 'XAMS', 'XASX', 'XBKK']
Get a calendar:
>>> xnys = xcals.get_calendar("XNYS") # New York Stock Exchange
>>> xhkg = xcals.get_calendar("XHKG") # Hong Kong Stock Exchange
Query the schedule:
>>> xhkg.schedule.loc["2021-12-29":"2022-01-04"]
open | break_start | break_end | close | |
---|---|---|---|---|
2021-12-29 | 2021-12-29 01:30:00+00:00 | 2021-12-29 04:00:00+00:00 | 2021-12-29 05:00:00+00:00 | 2021-12-29 08:00:00+00:00 |
2021-12-30 | 2021-12-30 01:30:00+00:00 | 2021-12-30 04:00:00+00:00 | 2021-12-30 05:00:00+00:00 | 2021-12-30 08:00:00+00:00 |
2021-12-31 | 2021-12-31 01:30:00+00:00 | NaT | NaT | 2021-12-31 04:00:00+00:00 |
2022-01-03 | 2022-01-03 01:30:00+00:00 | 2022-01-03 04:00:00+00:00 | 2022-01-03 05:00:00+00:00 | 2022-01-03 08:00:00+00:00 |
2022-01-04 | 2022-01-04 01:30:00+00:00 | 2022-01-04 04:00:00+00:00 | 2022-01-04 05:00:00+00:00 | 2022-01-04 08:00:00+00:00 |
>>> 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="90min", 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 for a deeper dive into sessions.
>>> 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 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.
- sessions.ipynb - all things sessions.
- minutes.ipynb - all things minutes. Don't miss this one!
- calendar_properties.ipynb - calendar constrution and a walk through the schedule and all other calendar properties.
- calendar_methods.ipynb - a walk through all the methods available to interrogate a calendar.
- 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 it or raise an issue and let us know!
Print a unix-cal like calendar straight from the command line (holidays are indicated by brackets)...
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
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
First off, make sure the calendar you're after hasn't already been defined; exchange calendars comes with over 50 pre-defined 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. This workflow 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).
Yes please! The workflow can be found here.
All of the exchange calendars are maintained by user contributions. If a calendar you care about needs revising, please open a PR - that's how this thing works! (Never contributed to a project before and it all seems a bit daunting? Check this out and don't look back!)
You'll find the workflow to modify an existing calendar here.
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 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!).
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/ |
Australian 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/ |
Saudi Stock Exchange | XSAU | Saudi Arabia | 4.2 | https://www.saudiexchange.sa/ |
European Energy Exchange AG | XEEE | Germany | 4.5.5 | https://www.eex.com |
Hamburg Stock Exchange | XHAM | Germany | 4.5.5 | https://www.boerse-hamburg.de |
Duesseldorf Stock Exchange | XDUS | Germany | 4.5.5 | https://www.boerse-duesseldorf.de |
Note that exchange calendars are defined by their ISO-10383 market identifier code.
Much of the post v3 development of exchange_calendars
has been driven by the market_prices
library. Check it out if you like the idea of using exchange_calendars
to create meaningful OHLCV datasets. It works out-the-box with freely available data!
Previous name | New name |
---|---|
bound_start | bound_min |
bound_end | bound_max |
Deprecated method | Reason |
---|---|
sessions_closes | use .closes[start:end] |
sessions_opens | use .opens[start:end] |
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 |
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 |
Removed Method |
---|
execution_minute_for_session |
execution_minute_for_sessions_in_range |
execution_time_from_close |
execution_time_from_open |