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import datetime
import socket
import pandas as pd
import csv
import sys
if sys.version_info.major == 3:
from io import StringIO
else:
from cStringIO import StringIO
from pickle import loads
from ftplib import FTP
import task_server.config as config
import os
from sqlalchemy import create_engine
from bbg_helpers import init_bbg_session, retrieve_data, BBG_IP
from common import get_redis_queue
import re
from analytics.utils import previous_twentieth
from db import dbconn
import logging
import argparse
import psycopg2
from send_email import EmailMessage
HEADERS = {'bond_trades':['Deal Type', 'Deal ID', 'Action', 'Client', 'Reserved', 'Reserved',
'Folder', 'Custodian', 'Cash Account', 'Counterparty', 'Comments',
'State', 'Trade Date', 'Settlement Date', 'Reserved', 'GlopeOp Security Identifier',
'CUSIP', 'ISIN', 'Reserved', 'Reserved',
'Reserved', 'Security Description', 'Transaction Indicator',
'SubTransaction Indicator', 'Accrued', 'Price', 'BlockId', 'BlockAmount',
'Fund', 'Portfolio', 'Reserved', 'Reserved', 'ClientReference', 'ClearingMode',
'FaceAmount', 'Pool Factor', 'FactorAsOfDate', 'Delivery'],
'cds_trades': ['Deal Type', 'Deal ID', 'Action', 'Client', 'Reserved', 'Reserved',
'Folder', 'Custodian', 'Cash Account', 'Counterparty', 'Comments',
'State', 'Trade Date', 'Reserved', 'Reserved', 'EffectiveDate', 'MaturityDate',
'Currency', 'Notional', 'FixedRate', 'PaymentRollDateConvention', 'DayCount',
'PaymentFrequency', 'FirstCouponRate', 'FirstCouponDate', 'ResetLag', 'Liquidation',
'LiquidationDate', 'Protection', 'UnderlyingSecurityId',
'UnderlyingSecurityDescription', 'CreditSpreadCurve',
'CreditEvents', 'RecoveryRate', 'Settlement', 'InitialMargin',
'InitialMarginPercentage','InitialMarginCurrency', 'DiscountCurve',
'ClientReference', 'UpfrontFee', 'UpfrontFeePayDate', 'RegenerateCashFlow',
'UpfrontFeeComment', 'GiveUpBroker','SwapType', 'OnPrice',
'OffPrice', 'AttachmentPoint', 'ExhaustionPoint', 'Fees', 'Fee Payment Dates',
'Fee Comments', 'Credit Event Occurred', 'Calendar',
'Clearing Facility', 'Adjusted', 'CcpTradeRef', 'BlockId',
'BlockAmount', 'NettingId', 'AnnouncementDate', 'ExecTS',
'DefaultProbability', 'ClientMargin', 'Factor', 'ISDADefinition'],
'swaption_trades': [
'Deal Type', 'Deal ID','Action', 'Client', 'Fund', 'Portfolio',
'Folder', 'Custodian', 'Cash Account', 'Counterparty', 'Comments',
'State', 'Trade Date', 'Reserved', 'Reserved', 'Reserved',
'Notional', 'PremiumSettlementDate', 'ExpirationDate',
'PremiumCurrency', 'PercentageOfPremium', 'ExerciseType', 'Reserved',
'SettlementMode', 'SettlementRate', 'Transaction Indicator',
'InitialMargin', 'InitialMarginPercentage', 'InitialMarginCurrency',
'ReceiveLegRateType', 'ReceiveFloatRate', 'ReceiveFirstCouponDate',
'ReceiveFirstCouponRate', 'ReceiveFixedRate', 'ReceiveDaycount',
'ReceiveFrequency', 'ReceivePaymentRollConvention',
'ReceiveEffectiveDate', 'ReceiveMaturityDate',
'ReceiveNotional', 'ReceiveArrears', 'ReceiveAdjusted', 'ReceiveCompound',
'ReceiveCurrency',
'PayLegRateType', 'PayFloatRate', 'PayFirstCouponDate',
'PayFirstCouponRate', 'PayFixedRate', 'PayDaycount', 'PayFrequency',
'PayPaymentRollConvention', 'PayEffectiveDate', 'PayMaturityDate',
'PayNotional', 'PayArrears', 'PayAdjusted', 'PayCompound', 'PayCurrency',
'RegenerateCashFlow', 'GiveUpBroker', 'ClientReference', 'ReceiveDiscountCurve',
'ReceiveForwardCurve', 'PayDiscountCurve', 'PayForwardCurve', 'ReceiveFixingFrequency',
'ReceiveInterestCalcMethod', 'ReceiveCompoundAverageFrequency',
'PayFixingFrequency', 'PayInterestCalcMethod', 'PayCompoundAverageFrequency',
'SwapType', 'AttachmentPoint', 'ExhaustionPoint', 'UnderlyingInstrument',
'AssociatedDealType', 'AssociatedDealId', 'CounterpartyReference',
'PremiumSettlementCurrency', 'PremiumSettlementAmount', 'ReceiveIMM Period',
'PayIMMPeriod', 'Reserved', 'ClearingFacility', 'Strike', 'CcpTradeRef',
'BreakClauseFrequency', 'BlockId', 'BlockAmount', 'Cross Currency Premium Payment',
'Premium Payment Amount', 'Netting Id', 'BreakClauseDate']}
def decode_dict(d):
return {k.decode() if isinstance(k, bytes) else k: \
v.decode() if isinstance(v, bytes) else v for k, v in d.items()}
def get_effective_date(d):
return previous_twentieth(d + datetime.timedelta(days=1))
def aux(v):
## we try to collapse the trades.
if v.shape[0] == 1:
return v.iloc[-1]
if v.action.iat[-1] == 'CANCEL':
return None
if v.action.iat[0] == 'NEW':
v.action.iat[-1] = 'NEW'
return v.iloc[-1]
def get_trades(q, queue_name='bond_trades'):
r = q.lrange(queue_name, 0, -1)
if sys.version_info.major == 3:
df = pd.DataFrame([decode_dict(loads(e, encoding='bytes')) for e in r])
else:
df = pd.DataFrame([loads(e) for e in r])
list_trades = []
if not df.empty:
for tradeid, v in df.sort_values(by='lastupdate').groupby('id'):
trade = aux(v)
if trade is not None:
list_trades.append(trade)
return list_trades
def build_line(obj, queue_name='bond_trades'):
obj['Client'] = 'Serenitas'
obj['Fund'] = 'SERCGMAST'
obj['State'] = 'Valid'
rename_cols = {'action': 'Action',
'dealid': 'Deal ID',
'folder': 'Folder',
'custodian': 'Custodian',
'cashaccount': 'Cash Account',
'cp_code': 'Counterparty',
'identifier': 'GlopeOp Security Identifier',
'cusip': 'CUSIP',
'isin': 'ISIN',
'description': 'Security Description',
'accrued': 'Accrued',
'price': 'Price',
'faceamount': 'FaceAmount',
'trade_date': 'Trade Date',
'settle_date': 'Settlement Date',
'effective_date': 'EffectiveDate',
'maturity': 'MaturityDate',
'currency': 'Currency',
'curr_notional': 'Notional',
'fixed_rate': 'FixedRate',
'payment_rolldate': 'PaymentRollDateConvention',
'day_count': 'DayCount',
'protection': 'Protection',
'security_id': 'UnderlyingSecurityId',
'security_desc': 'UnderlyingSecurityDescription',
'upfront': 'UpfrontFee',
'upfront_settle_date': 'UpfrontFeePayDate',
'swap_type': 'SwapType',
'attach':'AttachmentPoint',
'detach':'ExhaustionPoint',
'clearing_facility': 'Clearing Facility',
'isda_definition': 'ISDADefinition',
'expiration_date': 'ExpirationDate'}
for k, v in rename_cols.items():
try:
obj[v] = obj.pop(k)
except KeyError:
continue
if queue_name == 'bond_trades':
obj['Deal Type'] = 'MortgageDeal'
obj['Portfolio'] = 'MORTGAGE'
obj['Transaction Indicator'] = "Buy" if obj.buysell else "Sell"
obj['Delivery'] = 'S'
## zero coupon bond
if obj['CUSIP'] != obj['GlopeOp Security Identifier']:
obj['CUSIP'] = None
elif queue_name == 'swaption_trades':
obj['Deal Type'] = 'SwaptionDeal'
obj['Portfolio'] = 'OPTIONS'
obj['Transaction Indicator'] = "Buy" if obj.buysell else "Sell"
obj['ExerciseType'] = 'European'
obj['SettlementMode'] = 'Delivery'
obj['PremiumSettlementDate'] = obj.pop('Settlement Date')
obj['PercentageOfPremium'] = obj.pop('Price')
obj['Notional'] = obj.pop('notional')
obj['RegenerateCashFlow'] = 'N'
for direction in ['Pay', 'Receive']:
obj[direction + 'Daycount'] = 'ACT/360'
obj[direction + 'Frequency'] = 'Quarterly'
obj[direction + 'PaymentRollConvention'] = 'Following'
obj[direction + 'MaturityDate'] = obj['MaturityDate']
obj[direction + 'Currency'] = obj['Currency']
obj[direction + 'Notional'] = obj['Notional']
obj[direction + 'EffectiveDate'] = get_effective_date(obj['Trade Date'])
obj['PremiumCurrency'] = obj['Currency']
obj['InitialMarkinPercentage'] = obj.pop('initial_margin_percentage')
if obj['InitialMarkinPercentage']:
obj['InitialMarginCurrency'] = obj['Currency']
obj['SwapType'] = 'CD_INDEX_OPTION'
obj['UnderlyingInstrument'] = obj.pop('UnderlyingSecurityId')
obj['Strike'] = obj.pop('strike')
if obj['swaption_type'] == 'PAYER':
obj['ReceiveLegRateType'] = 'Float'
obj['ReceiveFloatRate'] = 'US0003M'
obj['PayLegRateType'] = 'Fixed'
obj['PayFixedRate'] = obj['FixedRate']
elif obj['swaption_type'] == 'RECEIVER':
obj['PayLegRateType'] = 'Float'
obj['PayFloatRate'] = 'US0003M'
obj['ReceiveLegRateType'] = 'Fixed'
obj['ReceiveFixedRate'] = obj['FixedRate']
elif queue_name == 'cds_trades':
freq = {4: 'Quarterly', 12: 'Monthly'}
obj['Deal Type'] = 'CreditDefaultSwapDeal'
obj['PaymentFrequency'] = freq[obj.frequency]
return [obj.get(h, None) for h in HEADERS[queue_name]]
def get_bbg_data(conn, session, identifier, cusip=None, isin = None, settle_date = None, asset_class=None,
**kwargs):
fields = ["MTG_FACTOR_SET_DT", "INT_ACC"]
fields_dict = {'Mtge': ["MTG_FACE_AMT", "START_ACC_DT"],
'Corp': ["AMT_ISSUED", "PREV_CPN_DT"]}
with conn.cursor() as c:
c.execute("SELECT identifier FROM securities WHERE identifier=%s",
(identifier,))
if not c.fetchone():
fields += ["MATURITY", "CRNCY", "NAME", "FLOATER", "FLT_SPREAD", "CPN",
"CPN_FREQ", "FIRST_CPN_DT", "MTG_PAY_DELAY", "DAY_CNT_DES"]
cusip_or_isin = cusip or isin
for bbg_type in ['Mtge', 'Corp']:
bbg_id = cusip_or_isin + ' ' + bbg_type
data = retrieve_data(session, [bbg_id], fields + fields_dict[bbg_type],
overrides={'SETTLE_DT': settle_date} if settle_date else None)
if data[bbg_id]:
break
else:
logging.error('{0} not in bloomberg'.format(cusip_or_isin))
return
bbg_data = data[bbg_id]
if bbg_data.get('MTG_FACTOR_SET_DT', 0) == 0:
bbg_data['MTG_FACTOR_SET_DT'] = 1
bbg_data['INT_ACC'] = 0
if len(fields) > 2: #we don't have the data in the securities table
sql_fields = ['identifier', 'cusip', 'isin', 'description', 'face_amount',
'maturity', 'floater', 'spread', 'coupon', 'frequency',
'day_count', 'first_coupon_date', 'pay_delay', 'currency',
'bbg_type', 'asset_class', 'start_accrued_date']
sqlstr = "INSERT INTO securities({0}) VALUES({1})".format(",".join(sql_fields),
",".join(["%s"]*17))
isfloater = bbg_data['FLOATER'] == 'Y'
pay_delay = bbg_data.get('MTG_PAY_DELAY', 0)
day_count = bbg_data.get('DAY_CNT_DES')
m = re.match("[^(\s]+", day_count)
if m:
day_count = m.group(0)
if isinstance(pay_delay, str):
pay_delay = int(pay_delay.split(' ')[0])
with conn.cursor() as c:
c.execute(sqlstr, (identifier, cusip, isin, bbg_data['NAME'],
bbg_data.get('MTG_FACE_AMT') or bbg_data.get('AMT_ISSUED'),
bbg_data.get('MATURITY'), isfloater,
bbg_data.get('FLT_SPREAD') if isfloater else None,
bbg_data.get('CPN') if not isfloater else None,
bbg_data.get('CPN_FREQ'), day_count,
bbg_data.get('FIRST_CPN_DT'), pay_delay,
bbg_data.get('CRNCY'), bbg_type, asset_class,
bbg_data.get('START_ACC_DT') or bbg_data.get('PREV_CPN_DT')))
conn.commit()
return bbg_data
def bond_trade_process(conn, session, trade):
bbg_data = get_bbg_data(conn, session, **trade)
currentface = trade['faceamount'] * bbg_data['MTG_FACTOR_SET_DT']
accrued_payment = bbg_data['INT_ACC'] * currentface /100.
principal_payment = currentface * trade['price'] / 100.
with conn:
with conn.cursor() as c:
c.execute("UPDATE bonds SET principal_payment = %s, accrued_payment = %s "
"WHERE id = %s", (principal_payment, accrued_payment, int(trade['id'])))
#mark it at buy price
if trade.buysell:
sqlstr = "INSERT INTO marks VALUES(%s, %s, %s)"
try:
with conn:
with conn.cursor() as c:
c.execute(sqlstr, (trade['trade_date'], trade['identifier'], trade['price']))
except psycopg2.IntegrityError:
logging.error('We already have a mark')
conn.rollback()
def cds_trade_process(serenitasdb, dawndb, session, trade):
sqlstr = 'SELECT indexfactor/100 FROM index_version WHERE redindexcode=%s'
try:
with serenitasdb:
with serenitasdb.cursor() as c:
c.execute(sqlstr, (trade.security_id,))
factor, = c.fetchone()
except ValueError:
bbg_data = get_bbg_data(dawndb, session, trade['security_id'], isin = trade['security_id'],
asset_class='Subprime')
factor = bbg_data['MTG_FACTOR_SET_DT']
trade['curr_notional'] = trade['notional'] * factor
return trade
def generate_csv(l, queue_name='bond_trades'):
output = StringIO()
csvwriter = csv.writer(output)
csvwriter.writerow(HEADERS[queue_name])
for trade in l:
csvwriter.writerow(build_line(trade.copy(), queue_name))
if sys.version_info.major == 3:
return output.getvalue().encode()
else:
return output.getvalue()
def get_filename(timestamp, queue_name):
d = {'bond_trades':'Mortgages',
'cds_trades':'CreditDefaultSwapDeal',
'swaption_trades': 'SwaptionDeal'}
return 'Serenitas.ALL.{0:%Y%m%d.%H%M%S}.{1}.csv'.format(timestamp, d[queue_name])
def upload_file(timestamp, queue_name='bond_trades'):
ftp = FTP('ftp.globeop.com')
ftp.login('srntsftp', config.ftp_password)
ftp.cwd('incoming')
filename = get_filename(timestamp, queue_name)
cmd = 'STOR {0}'.format(filename)
try:
with open(os.path.join(os.environ['DAILY_DIR'], str(timestamp.date()), filename), 'rb') as fh:
ftp.storbinary(cmd, fh)
except KeyError:
logging.error("Please set daily directory in DAILY_DIR")
def write_buffer(buf, queue_name='bond_trades'):
timestamp = pd.datetime.now()
filename = get_filename(timestamp, queue_name)
try:
with open(os.path.join(os.environ['DAILY_DIR'], str(timestamp.date()), filename), 'wb') as fh:
fh.write(buf)
return timestamp
except KeyError:
logging.error("Please set daily directory in DAILY_DIR")
def email_subject(trade):
return "[{0}] {1} {2} {3}".format(trade.asset_class, trade.action,
"Buy" if trade.buysell else "Sell",
trade.description)
if __name__=="__main__":
parser = argparse.ArgumentParser()
parser.add_argument("-n", "--no-upload", action="store_true", help="do not upload to Globeop")
args = parser.parse_args()
q = get_redis_queue()
serenitasdb = dbconn('serenitasdb')
dawndb = dbconn('dawndb')
for queue_name in ['bond_trades', 'cds_trades', 'swaption_trades']:
list_trades = get_trades(q, queue_name)
if list_trades:
if queue_name == 'bond_trades':
with init_bbg_session(BBG_IP) as session:
for trade in list_trades:
bond_trade_process(dawndb, session, trade)
email = EmailMessage(str(trade))
email['to'] = 'nyops@lmcg.com'
email['subject'] = email_subject(trade)
email.send()
elif queue_name == 'cds_trades':
with init_bbg_session(BBG_IP) as session:
list_trades = [cds_trade_process(serenitasdb, dawndb, session, trade) \
for trade in list_trades]
buf = generate_csv(list_trades, queue_name)
timestamp = write_buffer(buf, queue_name)
if not args.no_upload:
upload_file(timestamp, queue_name)
q.delete(queue_name)
serenitasdb.close()
dawndb.close()
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