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Python Class for LiFo, FiFo and AVCO Accounting of bonds
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""" | |
Copyright (C) 2017 Michael von den Driesch | |
This file is just a simple implementation of a python class allowing for various | |
*booking* types (LIFO, FIFO, AVCO) | |
This *GIST* is free software: you can redistribute it and/or modify it | |
under the terms of the BSD-2-Clause (https://opensource.org/licenses/bsd-license.html). | |
This program is distributed in the hope that it will be useful, but WITHOUT | |
ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS | |
FOR A PARTICULAR PURPOSE. See the license for more details. | |
""" | |
from collections import deque | |
import pandas as pd | |
import numpy as np | |
import datetime as dt | |
from enum import Enum | |
refDate = pd.to_datetime('01.04.2016', format='%d.%m.%Y') | |
class Trade(): | |
def __init__(self,date: pd.datetime, quantity: np.float32, price: np.float32): | |
self.date = date | |
self.quantity = quantity | |
self.price = price | |
def printT(self): | |
return print('Quantity: %i, Price: %f'%(self.quantity, self.price)) | |
class Isin(): | |
def __init__(self, isin, notinalPerQuantity, listOfTrades): | |
self._isin = isin | |
self._notinalPerQuantity = notinalPerQuantity | |
self._listOfTrades = listOfTrades | |
def mtm(self, trade): | |
return trade.quantity*trade.price*self._notinalPerQuantity | |
def __next__(self): | |
return self._listOfTrades.__next__() | |
def __iter__(self): | |
return self._listOfTrades.__iter__() | |
class transactionAccounting(): | |
def __init__(self, isin): | |
""" | |
Initiliase with first entry from left | |
""" | |
print('Initialize trade que') | |
self._Isin = isin | |
self._notinalPerQuantity = isin._notinalPerQuantity | |
self._trades = isin._listOfTrades | |
t0 = self._trades[0] | |
self._avgprice = 0 | |
self._quantity = 0 | |
self._pnl = 0 | |
self._bookvalue = 0 | |
def printStat(self): | |
print('Pos.Quantity: %i, AvgPrice: %f, PnL: %f, Book: %f'%(self._quantity, | |
self._avgprice, | |
self._pnl, | |
self._bookvalue)) | |
def buy(self, trade): | |
raise NotImplementedError | |
def sell(self, trade): | |
raise NotImplementedError | |
class FifoAccount(transactionAccounting): | |
""" | |
checkout out this site for an example | |
http://accountingexplained.com/financial/inventories/fifo-method | |
""" | |
def __init__(self, trades): | |
transactionAccounting.__init__(self, trades) | |
self._deque = deque() | |
for trade in self._trades: | |
if trade.quantity>=0: | |
self.buy(trade) | |
else: | |
self.sell(trade) | |
def buy(self, trade): | |
print('Buy trade') | |
trade.printT() | |
self._deque.append(trade) | |
self._bookvalue += self._Isin.mtm(trade) | |
self._quantity += trade.quantity | |
self._avgprice = self._bookvalue / self._quantity / self._notinalPerQuantity | |
self.printStat() | |
def sell(self, trade): | |
print('Sell trade') | |
trade.printT() | |
sellQuant = -trade.quantity | |
while(sellQuant>0): | |
lastTrade = self._deque.popleft() | |
price = lastTrade.price | |
quantity = lastTrade.quantity | |
print('Cancel trade:') | |
lastTrade.printT() | |
if sellQuant >= quantity: | |
self._pnl += -(price - trade.price)*quantity*self._notinalPerQuantity | |
self._quantity -= quantity | |
self._bookvalue -= price * quantity * self._notinalPerQuantity | |
sellQuant -= quantity | |
else: | |
#from IPython.core.debugger import Tracer; Tracer()() | |
self._pnl += -(price - trade.price)*sellQuant*self._notinalPerQuantity | |
self._quantity -= sellQuant | |
self._bookvalue -= price * sellQuant * self._notinalPerQuantity | |
lastTrade.quantity -= sellQuant | |
self._deque.appendleft(lastTrade) | |
sellQuant = 0 | |
self.printStat() | |
assert(self._quantity > 0) | |
el = [Trade(pd.to_datetime('01.04.2016', | |
format='%d.%m.%Y')+dt.timedelta(days=i) | |
, 5-i, 99.8+i) for i in range(0,10)] | |
el = [Trade(pd.to_datetime('01.03.2016',format='%d.%m.%Y'), 68, 15)] | |
el.append(Trade(pd.to_datetime('05.03.2016',format='%d.%m.%Y'), 140, 15.5)) | |
el.append(Trade(pd.to_datetime('09.03.2016',format='%d.%m.%Y'), -94, 19)) | |
el.append(Trade(pd.to_datetime('11.03.2016',format='%d.%m.%Y'), 40, 16)) | |
el.append(Trade(pd.to_datetime('16.03.2016',format='%d.%m.%Y'), 78, 16.5)) | |
el.append(Trade(pd.to_datetime('20.03.2016',format='%d.%m.%Y'), -116, 19.5)) | |
el.append(Trade(pd.to_datetime('20.03.2016',format='%d.%m.%Y'), -62, 21)) | |
b = Isin('bond', 1, el) | |
trans = FifoAccount(b) | |
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