A Python library of exchange calendars, frequently used with Zipline.
$ pip install trading-calendarsimport trading_calendars as tc
import pandas as pd
import pytzGet all registered calendars with get_calendar_names:
>>> tc.get_calendar_names()[:5]
['XPHS', 'FWB', 'CFE', 'CMES', 'XSGO']Get a calendar with get_calendar:
>>> xnys = tc.get_calendar("XNYS")Working with sessions:
>>> xnys.is_session(pd.Timestamp("2020-01-01"))
False
>>> xnys.next_open(pd.Timestamp("2020-01-01"))
Timestamp('2020-01-02 14:31:00+0000', tz='UTC')
>>> pd.Timestamp("2020-01-01", tz=pytz.UTC)+xnys.day
Timestamp('2020-01-02 00:00:00+0000', tz='UTC')
>>> xnys.previous_close(pd.Timestamp("2020-01-01"))
Timestamp('2019-12-31 21:00:00+0000', tz='UTC')
>>> xnys.sessions_in_range(
>>> pd.Timestamp("2020-01-01", tz=pytz.UTC),
>>> pd.Timestamp("2020-01-10", tz=pytz.UTC)
>>> )
DatetimeIndex(['2020-01-02 00:00:00+00:00', '2020-01-03 00:00:00+00:00',
'2020-01-06 00:00:00+00:00', '2020-01-07 00:00:00+00:00',
'2020-01-08 00:00:00+00:00', '2020-01-09 00:00:00+00:00',
'2020-01-10 00:00:00+00:00'],
dtype='datetime64[ns, UTC]', freq='C')
>>> xnys.sessions_window(
>>> pd.Timestamp("2020-01-02", tz=pytz.UTC),
>>> 7
>>> )
DatetimeIndex(['2020-01-02 00:00:00+00:00', '2020-01-03 00:00:00+00:00',
'2020-01-06 00:00:00+00:00', '2020-01-07 00:00:00+00:00',
'2020-01-08 00:00:00+00:00', '2020-01-09 00:00:00+00:00',
'2020-01-10 00:00:00+00:00', '2020-01-13 00:00:00+00:00'],
dtype='datetime64[ns, UTC]', freq='C')NOTE: see the TradingCalendar class for more advanced usage.
Trading calendars also supports command line usage, printing a unix-cal like calendar indicating which days are trading sessions or holidays.
tcal 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
tcal 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
Due to its historical use in the Zipline backtesting system, trading_calendars will only indicate a market is open upon the completion of the first minute bar in a day. Zipline uses minute bars labeled with the end of the bar, e.g. 9:31AM for 9:30-9:31AM. As an example, on a regular trading day for NYSE:
- 9:30:00 is treated as closed.
- 9:30:01 is treated as closed.
- 9:31:00 is the first time treated as open.
- 16:00:00 is treated as open
- 16:00:01 is treated as closed
This may change in the future.
| 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/home/homepage.htm |
| 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/exchanges/index.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 | http://www.bolsamadrid.es/ing/aspx/Portada/Portada.aspx |
| Borsa Italiana | XMIL | Italy | 1.3 | https://www.borsaitaliana.it/homepage/homepage.en.htm |
| 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 | http://inter.bolsadesantiago.com/sitios/en/Paginas/home.aspx |
| Colombia Securities Exchange | XBOG | Colombia | 1.9 | https://www.bvc.com.co/nueva/index_en.html |
| 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/stockMarket/home.html |
| 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/ |
Note that exchange calendars are defined by their ISO-10383 market identifier code.