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# Copyright 2013 Quantopian, Inc. |
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# |
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# Licensed under the Apache License, Version 2.0 (the "License"); |
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# you may not use this file except in compliance with the License. |
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# You may obtain a copy of the License at |
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# |
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# http://www.apache.org/licenses/LICENSE-2.0 |
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# |
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# Unless required by applicable law or agreed to in writing, software |
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# distributed under the License is distributed on an "AS IS" BASIS, |
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
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# See the License for the specific language governing permissions and |
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# limitations under the License. |
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import pandas as pd |
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import pytz |
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from datetime import datetime |
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from dateutil import rrule |
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from functools import partial |
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start = pd.Timestamp('1990-01-01', tz='UTC') |
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end_base = pd.Timestamp('today', tz='UTC') |
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# Give an aggressive buffer for logic that needs to use the next trading |
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# day or minute. |
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end = end_base + pd.Timedelta(days=365) |
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def canonicalize_datetime(dt): |
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# Strip out any HHMMSS or timezone info in the user's datetime, so that |
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# all the datetimes we return will be 00:00:00 UTC. |
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return datetime(dt.year, dt.month, dt.day, tzinfo=pytz.utc) |
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def get_non_trading_days(start, end): |
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non_trading_rules = [] |
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start = canonicalize_datetime(start) |
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end = canonicalize_datetime(end) |
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weekends = rrule.rrule( |
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rrule.YEARLY, |
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byweekday=(rrule.SA, rrule.SU), |
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cache=True, |
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dtstart=start, |
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until=end |
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) |
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non_trading_rules.append(weekends) |
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new_years = rrule.rrule( |
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rrule.MONTHLY, |
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byyearday=1, |
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cache=True, |
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dtstart=start, |
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until=end |
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) |
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non_trading_rules.append(new_years) |
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new_years_sunday = rrule.rrule( |
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rrule.MONTHLY, |
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byyearday=2, |
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byweekday=rrule.MO, |
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cache=True, |
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dtstart=start, |
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until=end |
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) |
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non_trading_rules.append(new_years_sunday) |
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mlk_day = rrule.rrule( |
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rrule.MONTHLY, |
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bymonth=1, |
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byweekday=(rrule.MO(+3)), |
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cache=True, |
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dtstart=datetime(1998, 1, 1, tzinfo=pytz.utc), |
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until=end |
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) |
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non_trading_rules.append(mlk_day) |
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presidents_day = rrule.rrule( |
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rrule.MONTHLY, |
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bymonth=2, |
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byweekday=(rrule.MO(3)), |
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cache=True, |
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dtstart=start, |
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until=end |
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) |
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non_trading_rules.append(presidents_day) |
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good_friday = rrule.rrule( |
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rrule.DAILY, |
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byeaster=-2, |
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cache=True, |
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dtstart=start, |
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until=end |
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) |
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non_trading_rules.append(good_friday) |
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memorial_day = rrule.rrule( |
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rrule.MONTHLY, |
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bymonth=5, |
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byweekday=(rrule.MO(-1)), |
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cache=True, |
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dtstart=start, |
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until=end |
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) |
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non_trading_rules.append(memorial_day) |
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july_4th = rrule.rrule( |
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rrule.MONTHLY, |
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bymonth=7, |
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bymonthday=4, |
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cache=True, |
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dtstart=start, |
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until=end |
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) |
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non_trading_rules.append(july_4th) |
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july_4th_sunday = rrule.rrule( |
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rrule.MONTHLY, |
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bymonth=7, |
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bymonthday=5, |
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byweekday=rrule.MO, |
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cache=True, |
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dtstart=start, |
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until=end |
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) |
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non_trading_rules.append(july_4th_sunday) |
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july_4th_saturday = rrule.rrule( |
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rrule.MONTHLY, |
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bymonth=7, |
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bymonthday=3, |
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byweekday=rrule.FR, |
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cache=True, |
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dtstart=start, |
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until=end |
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) |
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non_trading_rules.append(july_4th_saturday) |
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labor_day = rrule.rrule( |
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rrule.MONTHLY, |
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bymonth=9, |
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byweekday=(rrule.MO(1)), |
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cache=True, |
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dtstart=start, |
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until=end |
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) |
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non_trading_rules.append(labor_day) |
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thanksgiving = rrule.rrule( |
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rrule.MONTHLY, |
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bymonth=11, |
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byweekday=(rrule.TH(4)), |
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cache=True, |
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dtstart=start, |
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until=end |
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) |
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non_trading_rules.append(thanksgiving) |
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christmas = rrule.rrule( |
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rrule.MONTHLY, |
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bymonth=12, |
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bymonthday=25, |
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cache=True, |
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dtstart=start, |
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until=end |
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) |
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non_trading_rules.append(christmas) |
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christmas_sunday = rrule.rrule( |
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rrule.MONTHLY, |
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bymonth=12, |
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bymonthday=26, |
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byweekday=rrule.MO, |
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cache=True, |
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dtstart=start, |
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until=end |
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) |
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non_trading_rules.append(christmas_sunday) |
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# If Christmas is a Saturday then 24th, a Friday is observed. |
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christmas_saturday = rrule.rrule( |
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rrule.MONTHLY, |
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bymonth=12, |
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bymonthday=24, |
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byweekday=rrule.FR, |
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cache=True, |
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dtstart=start, |
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until=end |
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) |
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non_trading_rules.append(christmas_saturday) |
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non_trading_ruleset = rrule.rruleset() |
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for rule in non_trading_rules: |
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non_trading_ruleset.rrule(rule) |
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non_trading_days = non_trading_ruleset.between(start, end, inc=True) |
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# Add September 11th closings |
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# http://en.wikipedia.org/wiki/Aftermath_of_the_September_11_attacks |
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# Due to the terrorist attacks, the stock market did not open on 9/11/2001 |
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# It did not open again until 9/17/2001. |
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# |
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# September 2001 |
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# Su Mo Tu We Th Fr Sa |
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# 1 |
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# 2 3 4 5 6 7 8 |
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# 9 10 11 12 13 14 15 |
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# 16 17 18 19 20 21 22 |
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# 23 24 25 26 27 28 29 |
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# 30 |
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for day_num in range(11, 17): |
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non_trading_days.append( |
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datetime(2001, 9, day_num, tzinfo=pytz.utc)) |
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# Add closings due to Hurricane Sandy in 2012 |
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# http://en.wikipedia.org/wiki/Hurricane_sandy |
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# |
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# The stock exchange was closed due to Hurricane Sandy's |
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# impact on New York. |
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# It closed on 10/29 and 10/30, reopening on 10/31 |
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# October 2012 |
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# Su Mo Tu We Th Fr Sa |
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# 1 2 3 4 5 6 |
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# 7 8 9 10 11 12 13 |
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# 14 15 16 17 18 19 20 |
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# 21 22 23 24 25 26 27 |
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# 28 29 30 31 |
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for day_num in range(29, 31): |
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non_trading_days.append( |
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datetime(2012, 10, day_num, tzinfo=pytz.utc)) |
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# Misc closings from NYSE listing. |
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# http://www.nyse.com/pdfs/closings.pdf |
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# |
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# National Days of Mourning |
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# - President Richard Nixon |
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non_trading_days.append(datetime(1994, 4, 27, tzinfo=pytz.utc)) |
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# - President Ronald W. Reagan - June 11, 2004 |
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non_trading_days.append(datetime(2004, 6, 11, tzinfo=pytz.utc)) |
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# - President Gerald R. Ford - Jan 2, 2007 |
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non_trading_days.append(datetime(2007, 1, 2, tzinfo=pytz.utc)) |
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non_trading_days.sort() |
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return pd.DatetimeIndex(non_trading_days) |
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non_trading_days = get_non_trading_days(start, end) |
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trading_day = pd.tseries.offsets.CDay(holidays=non_trading_days) |
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def get_trading_days(start, end, trading_day=trading_day): |
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return pd.date_range(start=start.date(), |
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end=end.date(), |
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freq=trading_day).tz_localize('UTC') |
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trading_days = get_trading_days(start, end) |
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def get_early_closes(start, end): |
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# 1:00 PM close rules based on |
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# http://quant.stackexchange.com/questions/4083/nyse-early-close-rules-july-4th-and-dec-25th # noqa |
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# and verified against http://www.nyse.com/pdfs/closings.pdf |
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# These rules are valid starting in 1993 |
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start = canonicalize_datetime(start) |
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end = canonicalize_datetime(end) |
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start = max(start, datetime(1993, 1, 1, tzinfo=pytz.utc)) |
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end = max(end, datetime(1993, 1, 1, tzinfo=pytz.utc)) |
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# Not included here are early closes prior to 1993 |
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# or unplanned early closes |
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early_close_rules = [] |
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day_after_thanksgiving = rrule.rrule( |
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rrule.MONTHLY, |
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bymonth=11, |
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# 4th Friday isn't correct if month starts on Friday, so restrict to |
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# day range: |
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byweekday=(rrule.FR), |
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bymonthday=range(23, 30), |
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cache=True, |
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dtstart=start, |
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until=end |
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) |
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early_close_rules.append(day_after_thanksgiving) |
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christmas_eve = rrule.rrule( |
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rrule.MONTHLY, |
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bymonth=12, |
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bymonthday=24, |
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byweekday=(rrule.MO, rrule.TU, rrule.WE, rrule.TH), |
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cache=True, |
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dtstart=start, |
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until=end |
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) |
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early_close_rules.append(christmas_eve) |
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friday_after_christmas = rrule.rrule( |
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rrule.MONTHLY, |
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bymonth=12, |
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bymonthday=26, |
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byweekday=rrule.FR, |
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cache=True, |
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dtstart=start, |
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# valid 1993-2007 |
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until=min(end, datetime(2007, 12, 31, tzinfo=pytz.utc)) |
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) |
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early_close_rules.append(friday_after_christmas) |
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day_before_independence_day = rrule.rrule( |
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rrule.MONTHLY, |
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bymonth=7, |
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bymonthday=3, |
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320
|
|
|
byweekday=(rrule.MO, rrule.TU, rrule.TH), |
|
321
|
|
|
cache=True, |
|
322
|
|
|
dtstart=start, |
|
323
|
|
|
until=end |
|
324
|
|
|
) |
|
325
|
|
|
early_close_rules.append(day_before_independence_day) |
|
326
|
|
|
|
|
327
|
|
|
day_after_independence_day = rrule.rrule( |
|
328
|
|
|
rrule.MONTHLY, |
|
329
|
|
|
bymonth=7, |
|
330
|
|
|
bymonthday=5, |
|
331
|
|
|
byweekday=rrule.FR, |
|
332
|
|
|
cache=True, |
|
333
|
|
|
dtstart=start, |
|
334
|
|
|
# starting in 2013: wednesday before independence day |
|
335
|
|
|
until=min(end, datetime(2012, 12, 31, tzinfo=pytz.utc)) |
|
336
|
|
|
) |
|
337
|
|
|
early_close_rules.append(day_after_independence_day) |
|
338
|
|
|
|
|
339
|
|
|
wednesday_before_independence_day = rrule.rrule( |
|
340
|
|
|
rrule.MONTHLY, |
|
341
|
|
|
bymonth=7, |
|
342
|
|
|
bymonthday=3, |
|
343
|
|
|
byweekday=rrule.WE, |
|
344
|
|
|
cache=True, |
|
345
|
|
|
# starting in 2013 |
|
346
|
|
|
dtstart=max(start, datetime(2013, 1, 1, tzinfo=pytz.utc)), |
|
347
|
|
|
until=max(end, datetime(2013, 1, 1, tzinfo=pytz.utc)) |
|
348
|
|
|
) |
|
349
|
|
|
early_close_rules.append(wednesday_before_independence_day) |
|
350
|
|
|
|
|
351
|
|
|
early_close_ruleset = rrule.rruleset() |
|
352
|
|
|
|
|
353
|
|
|
for rule in early_close_rules: |
|
354
|
|
|
early_close_ruleset.rrule(rule) |
|
355
|
|
|
early_closes = early_close_ruleset.between(start, end, inc=True) |
|
356
|
|
|
|
|
357
|
|
|
# Misc early closings from NYSE listing. |
|
358
|
|
|
# http://www.nyse.com/pdfs/closings.pdf |
|
359
|
|
|
# |
|
360
|
|
|
# New Year's Eve |
|
361
|
|
|
nye_1999 = datetime(1999, 12, 31, tzinfo=pytz.utc) |
|
362
|
|
|
if start <= nye_1999 and nye_1999 <= end: |
|
363
|
|
|
early_closes.append(nye_1999) |
|
364
|
|
|
|
|
365
|
|
|
early_closes.sort() |
|
366
|
|
|
return pd.DatetimeIndex(early_closes) |
|
367
|
|
|
|
|
368
|
|
|
early_closes = get_early_closes(start, end) |
|
369
|
|
|
|
|
370
|
|
|
|
|
371
|
|
|
def get_open_and_close(day, early_closes): |
|
372
|
|
|
market_open = pd.Timestamp( |
|
373
|
|
|
datetime( |
|
374
|
|
|
year=day.year, |
|
375
|
|
|
month=day.month, |
|
376
|
|
|
day=day.day, |
|
377
|
|
|
hour=9, |
|
378
|
|
|
minute=31), |
|
379
|
|
|
tz='US/Eastern').tz_convert('UTC') |
|
380
|
|
|
# 1 PM if early close, 4 PM otherwise |
|
381
|
|
|
close_hour = 13 if day in early_closes else 16 |
|
382
|
|
|
market_close = pd.Timestamp( |
|
383
|
|
|
datetime( |
|
384
|
|
|
year=day.year, |
|
385
|
|
|
month=day.month, |
|
386
|
|
|
day=day.day, |
|
387
|
|
|
hour=close_hour), |
|
388
|
|
|
tz='US/Eastern').tz_convert('UTC') |
|
389
|
|
|
|
|
390
|
|
|
return market_open, market_close |
|
391
|
|
|
|
|
392
|
|
|
|
|
393
|
|
|
def get_open_and_closes(trading_days, early_closes, get_open_and_close): |
|
394
|
|
|
open_and_closes = pd.DataFrame(index=trading_days, |
|
395
|
|
|
columns=('market_open', 'market_close')) |
|
396
|
|
|
|
|
397
|
|
|
get_o_and_c = partial(get_open_and_close, early_closes=early_closes) |
|
398
|
|
|
|
|
399
|
|
|
open_and_closes['market_open'], open_and_closes['market_close'] = \ |
|
400
|
|
|
zip(*open_and_closes.index.map(get_o_and_c)) |
|
401
|
|
|
|
|
402
|
|
|
return open_and_closes |
|
403
|
|
|
|
|
404
|
|
|
open_and_closes = get_open_and_closes(trading_days, early_closes, |
|
405
|
|
|
get_open_and_close) |
|
406
|
|
|
|