ENH: Add Brazilian calendar for BMF&Bovespa stock market

Add Brazilian Bovespa Stock Market calendar
This commit is contained in:
Moises Trovo
2014-01-16 12:53:11 -05:00
committed by Eddie Hebert
parent b69590a2f7
commit 64b28d15f8
2 changed files with 316 additions and 0 deletions
+14
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@@ -17,6 +17,7 @@ from unittest import TestCase
from zipline.utils import tradingcalendar
from zipline.utils import tradingcalendar_lse
from zipline.utils import tradingcalendar_tse
from zipline.utils import tradingcalendar_bmf
import pytz
import datetime
from zipline.finance.trading import TradingEnvironment
@@ -73,6 +74,19 @@ class TestTradingCalendar(TestCase):
cal_days = tradingcalendar_tse.trading_days
self.check_days(env_days, cal_days)
@nottest
def test_bmf_calendar_vs_environment(self):
env = TradingEnvironment(
bm_symbol='^BVSP',
exchange_tz='America/Sao_Paulo'
)
env_start_index = \
env.trading_days.searchsorted(tradingcalendar_bmf.start)
env_days = env.trading_days[env_start_index:]
cal_days = tradingcalendar_bmf.trading_days
self.check_days(env_days, cal_days)
def check_days(self, env_days, cal_days):
diff = env_days - cal_days
self.assertEqual(
+302
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@@ -0,0 +1,302 @@
import pandas as pd
import pytz
from datetime import datetime
from dateutil import rrule
from zipline.utils.tradingcalendar import end, canonicalize_datetime
start = pd.Timestamp('1994-01-01', tz='UTC')
def get_non_trading_days(start, end):
non_trading_rules = []
start = canonicalize_datetime(start)
end = canonicalize_datetime(end)
weekends = rrule.rrule(
rrule.YEARLY,
byweekday=(rrule.SA, rrule.SU),
cache=True,
dtstart=start,
until=end
)
non_trading_rules.append(weekends)
# Universal confraternization
conf_universal = rrule.rrule(
rrule.MONTHLY,
byyearday=1,
cache=True,
dtstart=start,
until=end
)
non_trading_rules.append(conf_universal)
# Sao Paulo city birthday
aniversario_sao_paulo = rrule.rrule(
rrule.MONTHLY,
bymonth=1,
bymonthday=25,
cache=True,
dtstart=start,
until=end
)
non_trading_rules.append(aniversario_sao_paulo)
# Carnival Monday
carnaval_segunda = rrule.rrule(
rrule.MONTHLY,
byeaster=-48,
cache=True,
dtstart=start,
until=end
)
non_trading_rules.append(carnaval_segunda)
# Carnival Tuesday
carnaval_terca = rrule.rrule(
rrule.MONTHLY,
byeaster=-47,
cache=True,
dtstart=start,
until=end
)
non_trading_rules.append(carnaval_terca)
# Passion of the Christ
sexta_paixao = rrule.rrule(
rrule.MONTHLY,
byeaster=-2,
cache=True,
dtstart=start,
until=end
)
non_trading_rules.append(sexta_paixao)
# Corpus Christi
corpus_christi = rrule.rrule(
rrule.MONTHLY,
byeaster=60,
cache=True,
dtstart=start,
until=end
)
non_trading_rules.append(corpus_christi)
tiradentes = rrule.rrule(
rrule.MONTHLY,
bymonth=4,
bymonthday=21,
cache=True,
dtstart=start,
until=end
)
non_trading_rules.append(tiradentes)
# Labor day
dia_trabalho = rrule.rrule(
rrule.MONTHLY,
bymonth=5,
bymonthday=1,
cache=True,
dtstart=start,
until=end
)
non_trading_rules.append(dia_trabalho)
# Constitutionalist Revolution
constitucionalista = rrule.rrule(
rrule.MONTHLY,
bymonth=7,
bymonthday=9,
cache=True,
dtstart=datetime(1997, 1, 1, tzinfo=pytz.utc),
until=end
)
non_trading_rules.append(constitucionalista)
# Independency day
independencia = rrule.rrule(
rrule.MONTHLY,
bymonth=9,
bymonthday=7,
cache=True,
dtstart=start,
until=end
)
non_trading_rules.append(independencia)
# Our Lady of Aparecida
aparecida = rrule.rrule(
rrule.MONTHLY,
bymonth=10,
bymonthday=12,
cache=True,
dtstart=start,
until=end
)
non_trading_rules.append(aparecida)
# All Souls' day
finados = rrule.rrule(
rrule.MONTHLY,
bymonth=11,
bymonthday=2,
cache=True,
dtstart=start,
until=end
)
non_trading_rules.append(finados)
# Proclamation of the Republic
proclamacao_republica = rrule.rrule(
rrule.MONTHLY,
bymonth=11,
bymonthday=15,
cache=True,
dtstart=start,
until=end
)
non_trading_rules.append(proclamacao_republica)
# Day of Black Awareness
consciencia_negra = rrule.rrule(
rrule.MONTHLY,
bymonth=11,
bymonthday=20,
cache=True,
dtstart=datetime(2004, 1, 1, tzinfo=pytz.utc),
until=end
)
non_trading_rules.append(consciencia_negra)
# Christmas Eve
vespera_natal = rrule.rrule(
rrule.MONTHLY,
bymonth=12,
bymonthday=24,
cache=True,
dtstart=start,
until=end
)
non_trading_rules.append(vespera_natal)
# Christmas
natal = rrule.rrule(
rrule.MONTHLY,
bymonth=12,
bymonthday=25,
cache=True,
dtstart=start,
until=end
)
non_trading_rules.append(natal)
# New Year Eve
ano_novo = rrule.rrule(
rrule.MONTHLY,
bymonth=12,
bymonthday=31,
cache=True,
dtstart=start,
until=end
)
non_trading_rules.append(ano_novo)
# New Year Eve on saturday
ano_novo_sab = rrule.rrule(
rrule.MONTHLY,
bymonth=12,
bymonthday=30,
byweekday=rrule.FR,
cache=True,
dtstart=start,
until=end
)
non_trading_rules.append(ano_novo_sab)
non_trading_ruleset = rrule.rruleset()
for rule in non_trading_rules:
non_trading_ruleset.rrule(rule)
non_trading_days = non_trading_ruleset.between(start, end, inc=True)
non_trading_days.sort()
return pd.DatetimeIndex(non_trading_days)
non_trading_days = get_non_trading_days(start, end)
trading_day = pd.tseries.offsets.CDay(holidays=non_trading_days)
def get_trading_days(start, end, trading_day=trading_day):
return pd.date_range(start=start.date(),
end=end.date(),
freq=trading_day).tz_localize('UTC')
trading_days = get_trading_days(start, end)
# Ash Wednesday
quarta_cinzas = rrule.rrule(
rrule.MONTHLY,
byeaster=-46,
cache=True,
dtstart=start,
until=end
)
def get_early_closes(start, end):
# TSX closed at 1:00 PM on december 24th.
start = canonicalize_datetime(start)
end = canonicalize_datetime(end)
early_close_rules = []
early_close_rules.append(quarta_cinzas)
early_close_ruleset = rrule.rruleset()
for rule in early_close_rules:
early_close_ruleset.rrule(rule)
early_closes = early_close_ruleset.between(start, end, inc=True)
early_closes.sort()
return pd.DatetimeIndex(early_closes)
early_closes = get_early_closes(start, end)
def get_open_and_closes(trading_days, early_closes):
open_and_closes = pd.DataFrame(index=trading_days,
columns=('market_open', 'market_close'))
for day in trading_days:
# only "early close" event in Bovespa actually is a late start
# as the market only opens at 1pm
open_hour = 13 if day in quarta_cinzas else 10
market_open = pd.Timestamp(
datetime(
year=day.year,
month=day.month,
day=day.day,
hour=open_hour,
minute=00),
tz='America/Sao_Paulo').tz_convert('UTC')
market_close = pd.Timestamp(
datetime(
year=day.year,
month=day.month,
day=day.day,
hour=16),
tz='America/Sao_Paulo').tz_convert('UTC')
open_and_closes.ix[day]['market_open'] = market_open
open_and_closes.ix[day]['market_close'] = market_close
return open_and_closes
open_and_closes = get_open_and_closes(trading_days, early_closes)