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from serenitas.utils.db import dbconn
from serenitas.utils.exchange import ExchangeMessage, FileAttachment
from exchangelib import HTMLBody
import datetime
import argparse
from pandas.tseries.offsets import BDay
from io import StringIO
import pandas as pd

if __name__ == "__main__":
    parser = argparse.ArgumentParser()
    parser.add_argument(
        "trade_date",
        nargs="?",
        default=(datetime.date.today() - BDay(1)).date(),
        type=datetime.date.fromisoformat,
    )
    args = parser.parse_args()
    dawndb = dbconn("dawndb")

    cp_mapping = {
        "CITI": "Citi",
        "MS": "Morgan Stanley",
        "GS": "Goldman Sachs",
        "BOMLCM": "Baml FCM",
        "BAML_ISDA": "Baml OTC",
        "WELLS": "Wells Fargo",
        "BNP": "BNP Paribas",
        "CS": "Credit Suisse",
        "JPM": "JP Morgan",
        "WELLSFCM": "Wells Fargo FCM",
    }
    formatters = {"excess": "{:,.0f}".format, "receive": "{:,.0f}".format}

    isda_cp = pd.read_sql_query(
        "SELECT date, broker as counterparty, -sum(amount) as excess FROM strategy_im si WHERE strategy='CSH_CASH' GROUP BY broker, date, fund having date=%s and fund='SERCGMAST' ORDER BY date DESC;",
        con=dawndb,
        params=(args.trade_date,),
    )
    isda_cp["counterparty"] = [
        cp_mapping[counterparty] for counterparty in isda_cp["counterparty"]
    ]
    fcm_cp = pd.read_sql_query(
        "SELECT date, custodian AS counterparty, current_excess_deficit as excess FROM fcm_moneyline fm LEFT JOIN accounts ON account=cash_account WHERE date=%s AND fund='SERCGMAST' AND currency='ZZZZZ';",
        con=dawndb,
        params=(args.trade_date,),
    )
    fcm_cp["counterparty"] = [
        cp_mapping[counterparty] for counterparty in fcm_cp["counterparty"]
    ]
    payment_settlements = pd.read_sql_query(
        "SELECT settle_date, name as counterparty, asset_class, currency, payment_amount as receive FROM payment_settlements ps WHERE settle_date between %s and %s and fund='SERCGMAST' order by settle_date asc;",
        con=dawndb,
        params=((args.trade_date + BDay(1)).date(), (args.trade_date + BDay(3)).date()),
    )
    payment_settlements_agg = pd.read_sql_query(
        "SELECT settle_date , currency, sum(payment_amount) as receive FROM payment_settlements WHERE fund= 'SERCGMAST' AND settle_date BETWEEN %s AND %s GROUP BY settle_date, currency order by settle_date asc;",
        con=dawndb,
        params=((args.trade_date + BDay(1)).date(), (args.trade_date + BDay(3)).date()),
    )
    body = (
        f"<h3> Collateral Estimates Receive/(Pay) at ISDA :</h3>\n\n"
        + isda_cp.to_html(index=False, formatters=formatters)
        + f"<h3> Collateral Estimates Receive/(Pay) at FCM :</h3>\n\n"
        + fcm_cp.to_html(index=False, formatters=formatters)
        + f"<h3>Payment Settlements By Date :</h3>\n\n"
        + payment_settlements_agg.to_html(index=False, formatters=formatters)
        + f"<h3>Payment Settlements :</h3>\n\n"
        + payment_settlements.to_html(index=False, formatters=formatters)
    )

    em = ExchangeMessage()
    em.send_email(
        f"Collateral Estimates {args.trade_date:%Y-%m-%d}",
        HTMLBody(body),
        ["NYOps@lmcg.com"],
        ["fyu@lmcg.com"],
    )