from serenitas.utils.db import dbconn import datetime import csv from io import StringIO from pathlib import Path from process_queue import rename_keys from serenitas.utils.remote import SftpClient from serenitas.utils.env import DAILY_DIR def process_upload(trades, asset_type, upload): buf = StringIO() csvwriter = csv.writer(buf) csvwriter.writerow(HEADERS[asset_type]) csvwriter.writerows(build_line(trade, asset_type) for trade in trades) buf = buf.getvalue().encode() fname = f"HEDGEMARK.POSITION.BOS_PAT_BOWDOIN.{datetime.datetime.now():%Y%m%d.%H%M%S}.{asset_type.capitalize()}Deal.csv" if upload: sftp = SftpClient.from_creds("hm_globeop") sftp.client.chdir("incoming") sftp.put(buf, fname) dest = DAILY_DIR / str(datetime.date.today()) / fname dest.write_bytes(buf) def build_line(obj, asset_type): return [obj.get(h, None) for h in HEADERS[asset_type]] HEADERS = { "bond": [ "AccountNumber", "COB Date", "Prime Broker", "SecurityType", "CUSIP", "ISIN", "SEDOL", "SecurityDescription", "Position", "MarketPrice", "Currency", "Base Market Value", "Local Market Value", "Fx Rate", ], "future": [ "AccountNumber", "COB Date", "Prime Broker", "SecurityType", "BBGTicker", "RIC", "UnderlyingSecurity", "SecurityDescription", "Currency", "Quantity", "OpenTradeEquity", "ClosingPrice", "MaturityDate", "Unrealised P&L in USD", "Local Market Value", "Fx Rate", ], "otc": [ "Client Name", "Fund Name", "Counterparty", "Product Type", "Unique Deal ID", "TransactionIndicator (Buy/Sell)", "PutCall Indicator (Call/Put)", "CapFloorIndicator", "CurrencyPair", "DealCurrencyA", "DealCurrencyB", "NotionalA", "NotionalB", "OriginalPrice", "Strike", "FixedRate", "Quantity", "Start Date", "Effective Date", "Maturity Date", "Underlying Maturity", "RecPayFixed", "Underlying (ISIN / CUSP / RED CODES)", "Underlying Desc", "Exercise Type", "MTM Currency", "MTM Valuation", "COB Date", "Clearing House Name", ], } def positions_bond(positions, conn, date): with conn.cursor() as c: c.execute("SELECT * FROM risk_positions(%s, null, 'BOWDST') ", (date,)) trades = [] for row in c: obj = row._asdict() rename_keys( obj, { "cusip": "CUSIP", "description": "SecurityDescription", "notional": "Position", "price": "MarketPrice", "local_market_value": "Local Market Value", "usd_market_value": "Base Market Value", }, ) try: obj["Fx Rate"] = obj["Local Market Value"] / obj["Base Market Value"] except ZeroDivisionError: obj["Fx Rate"] = 1 obj["AccountNumber"] = "319478" obj["Prime Broker"] = "BONY" obj["COB Date"] = date obj["Currency"] = "USD" obj["SecurityType"] = "Bond" positions["bond"].append(obj) # quotes['bond'] # process_upload(trades, "bond") def positions_future(positions, conn, date): with conn.cursor() as c: c.execute( "WITH tmp AS (SELECT bbg_ticker, fund, security_desc, currency, maturity, sum(quantity * (2*buysell::int-1)) OVER (PARTITION BY bbg_ticker, fund, security_desc, currency, maturity) notional FROM futures " "WHERE fund='BOWDST' AND trade_date <= %s) " "SELECT bbg_ticker, notional, code AS cp_code, cash_account, security_desc, currency, maturity FROM tmp LEFT JOIN accounts USING (fund) WHERE tmp.notional != 0 AND account_type='Future';", (date,), ) trades = [] for row in c: obj = row._asdict() rename_keys( obj, { "bbg_ticker": "BBGTicker", "notional": "Quantity", "cp_code": "Prime Broker", "cash_account": "AccountNumber", "security_desc": "SecurityDescription", "currency": "Currency", "maturity": "MaturityDate", }, ) obj["COB Date"] = date obj["SecurityType"] = "Futures" positions["future"].append(obj) # process_upload(trades, "future") def positions_otc(positions, conn, date): with conn.cursor() as c: c.execute( "SELECT trb.trade_id, trb.serenitas_clean_nav + trb.serenitas_accrued as mtm, trb.notional * trb.tranche_factor as active_notional, cds.* FROM tranche_risk_bowdst trb left join cds on trade_id=id WHERE date=%s", (date,), ) otc_trades = [] for row in c: obj = row._asdict() obj["Client Name"] = "HEDGEMARK" obj["Fund Name"] = "BOS_PAT_BOWDOIN" obj["Product Type"] = "Credit Index Tranche" obj["TransactionIndicator (Buy/Sell)"] = ( "B" if obj["protection"] == "Buyer" else "S" ) obj["MTM Currency"] = "USD" obj["COB Date"] = date obj["Clearing House Name"] = "Bilateral" rename_keys( obj, { "dealid": "Unique Deal ID", "cp_code": "Counterparty", "currency": "DealCurrencyA", "active_notional": "NotionalA", "fixed_rate": "FixedRate", "trade_date": "Start Date", "effective_date": "EffectiveDate", "maturity": "Maturity Date", "security_id": "Underlying (ISIN / CUSP / RED CODES)", "security_desc": "Underlying Desc", "mtm": "MTM Valuation", }, ) positions["otc"].append(obj) c.execute( "SELECT abs(spr.notional) AS active_notional, spr.serenitas_nav, swaptions.*, index_version_markit.annexdate FROM list_swaption_positions_and_risks(%s, 'BOWDST') spr LEFT JOIN swaptions ON deal_id=dealid LEFT JOIN index_version_markit ON swaptions.security_id=redindexcode;", (date,), ) for row in c: obj = row._asdict() obj["Client Name"] = "HEDGEMARK" obj["Fund Name"] = "BOS_PAT_BOWDOIN" obj["Product Type"] = "CD Swaption" obj["TransactionIndicator (Buy/Sell)"] = "B" if obj["buysell"] else "S" obj["PutCall Indicator (Call/Put)"] = ( "P" if obj["option_type"] == "PAYER" else "C" ) obj["Exercise Type"] = "European" obj["MTM Currency"] = "USD" obj["COB Date"] = date obj["Clearing House Name"] = "Bilateral" rename_keys( obj, { "dealid": "Unique Deal ID", "cp_code": "Counterparty", "currency": "DealCurrencyA", "active_notional": "NotionalA", "fixed_rate": "FixedRate", "strike": "Strike", "annexdate": "EffectiveDate", "trade_date": "Start Date", "maturity": "Maturity Date", "expiration_date": "Underlying Maturity", "security_id": "Underlying (ISIN / CUSP / RED CODES)", "security_desc": "Underlying Desc", "serenitas_nav": "MTM Valuation", }, ) positions["otc"].append(obj) c.execute( "SELECT abs(spr.notional) AS active_notional, spr.nav, swaptions.*, index_version_markit.effectivedate FROM list_ir_swaption_positions(%s, 'BOWDST') spr LEFT JOIN swaptions ON deal_id=dealid LEFT JOIN index_version_markit ON swaptions.security_id=redindexcode;", (date,), ) for row in c: obj = row._asdict() obj["Client Name"] = "HEDGEMARK" obj["Fund Name"] = "BOS_PAT_BOWDOIN" obj["Product Type"] = "Swaption" obj["TransactionIndicator (Buy/Sell)"] = "B" if obj["buysell"] else "S" obj["PutCall Indicator (Call/Put)"] = ( "P" if obj["option_type"] == "PAYER" else "C" ) obj["Exercise Type"] = "European" obj["MTM Currency"] = "USD" obj["COB Date"] = date obj["Clearing House Name"] = "Bilateral" rename_keys( obj, { "dealid": "Unique Deal ID", "cp_code": "Counterparty", "currency": "DealCurrencyA", "active_notional": "NotionalA", "fixed_rate": "FixedRate", "strike": "Strike", "effectivedate": "Effective Date", "trade_date": "Start Date", "maturity": "Maturity Date", "expiration_date": "Underlying Maturity", "security_id": "Underlying (ISIN / CUSP / RED CODES)", "security_desc": "Underlying Desc", "nav": "MTM Valuation", }, ) positions["otc"].append(obj) c.execute( "SELECT cds.*, ivm.effectivedate FROM list_cds_marks(%s, null, 'BOWDST') cds LEFT JOIN index_version_markit ivm ON security_id=redindexcode;", (date,), ) for row in c: obj = row._asdict() obj["Client Name"] = "HEDGEMARK" obj["Fund Name"] = "BOS_PAT_BOWDOIN" obj["Counterparty"] = "GS" obj["Product Type"] = "Credit Index" obj["Unique Deal ID"] = obj["security_id"] obj["TransactionIndicator (Buy/Sell)"] = "B" if obj["notional"] > 0 else "S" obj["DealCurrencyA"] = "EUR" if obj["index"] in ("EU", "XO") else "USD" obj["NotionalA"] = abs(obj["notional"]) obj["Start Date"] = date obj["MTM Currency"] = "USD" obj["MTM Valuation"] = obj["clean_nav"] + obj["accrued"] obj["COB Date"] = date obj["Clearing House Name"] = "ICE" obj["FixedRate"] = obj["coupon"] * 100 rename_keys( obj, { "effectivedate": "Effective Date", "maturity": "Maturity Date", "security_id": "Underlying (ISIN / CUSP / RED CODES)", "security_desc": "Underlying Desc", }, ) positions["otc"].append(obj) if __name__ == "__main__": import argparse from serenitas.utils.db import dbconn from serenitas.analytics.bbg_helpers import init_bbg_session, retrieve_data parser = argparse.ArgumentParser( description="Generate position files for Bowdoin Street" ) parser.add_argument( "--date", type=datetime.date.fromisoformat, default=datetime.date.today() ) parser.add_argument( "--product", nargs="+", choices=["bond", "future", "otc"], default=["bond", "future", "otc"], help="list of products to generate position files for", ) parser.add_argument( "--u", action="store_true", default=False, help="uploads to globeop", ) args = parser.parse_args() conn = dbconn("dawndb") positions = {"bond": [], "future": [], "otc": []} for p in args.product: globals()[f"positions_{p}"](positions, conn, args.date) for asset_type, trades in positions.items(): process_upload(trades, asset_type, args.u)