def addBondsToBalance(self,
security_dict,
bonds_alloc,
recommended_bonds_alloc,
exposure_threshold=0.05):
recommendations = recom.rank_etfs()
pop = recom.recommend_etf(recommendations)
while (bonds_alloc < recommended_bonds_alloc):
# get a recommendation
security = next(pop)
print('Checking if bond {} exists in portfolio'.format(security))
# check if the recommended security is in the portfolio already and get the second best if it is
while ut.check_security_in_portfolio(self.portfolio, security):
print('Bond {} exists in portfolio'.format(security))
security = next(pop)
print(
'Checking if bond {} exists in portfolio'.format(security))
# desired exposure
fit_exposure = min(exposure_threshold,
(recommended_bonds_alloc - bonds_alloc) / 100)
# calculated desired shares to fit 0.05 exposure
shares = fit_exposure * self.client['Capital'] / security_dict[
security]['Price']
current_exposure = shares * security_dict[security][
'Price'] / self.client['Capital']
# add shares to portfolio
self.addNewSecurity(security, shares)
# increase bond allocation
bonds_alloc += current_exposure * 100
def remove_one_item(self, recommendations, asset_type, allSecurities):
stocks_alloc, bonds_alloc = self.current_allocation(allSecurities)
if (asset_type == 'Equity' or asset_type == 'equity'
or asset_type == 'stock'):
if stocks_alloc == 0:
print("You have no stocks to delete")
else:
pop = recom.reverse_recommend_stock(recommendations)
security = next(pop)
while not self.check_security_in_portfolio(
self.portfolio, security):
security = next(pop)
self.deleteSecurity(security, allSecurities)
print("You now have {} % exposure in CASH.".format(
self.extra_exposure))
elif (asset_type == 'Bond' or asset_type == 'bond'):
if bonds_alloc == 0:
print("You have no bonds to delete")
else:
recommendations = recom.rank_etfs()
pop = recom.reverse_recommend_stock(recommendations)
security = next(pop)
while not self.check_security_in_portfolio(
self.portfolio, security):
security = next(pop)
self.deleteSecurity(security, allSecurities)
print("You now have {} % exposure in CASH.".format(
self.extra_exposure))
def removeBondsToBalance(self,
security_dict,
bonds_alloc,
recommended_bonds_alloc,
exposure=True):
recommendations = recom.rank_etfs()
pop = recom.reversed_recommend_etf(recommendations)
while (bonds_alloc > recommended_bonds_alloc):
security = next(pop)
while (not self.check_security_in_portfolio(
self.portfolio, security)):
security = next(pop)
security_exposure = self.portfolio[security]
if (exposure):
fit_exposure = min(security_exposure,
bonds_alloc - recommended_bonds_alloc)
else:
fit_exposure = bonds_alloc - recommended_bonds_alloc
if (fit_exposure <= security_exposure):
# delete dictionary entry
self.deleteSecurity(security, security_dict)
bonds_alloc -= security_exposure
elif (fit_exposure < security_exposure):
# delete some of the shares
self.setExposure(security, security_exposure - fit_exposure)
bonds_alloc -= fit_exposure
def addBondsToBalance(self,
security_dict,
bonds_alloc,
recommended_bonds_alloc,
exposure=True,
exposure_threshold=5):
recommendations = recom.rank_etfs()
pop = recom.recommend_etf(recommendations)
while (bonds_alloc < recommended_bonds_alloc):
# get a recommendation
security = next(pop)
print('Checking if bond {} exists in portfolio'.format(security))
# check if the recommended security is in the portfolio already and get the second best if it is
while self.check_security_in_portfolio(self.portfolio, security):
print('Bond {} exists in portfolio'.format(security))
security = next(pop)
print(
'Checking if bond {} exists in portfolio'.format(security))
# desired exposure
if (exposure):
fit_exposure = min(exposure_threshold,
(recommended_bonds_alloc - bonds_alloc))
else:
fit_exposure = recommended_bonds_alloc - bonds_alloc
# add shares to portfolio
self.addNewSecurity(security, fit_exposure, security_dict)
# increase bond allocation
bonds_alloc += fit_exposure
def buy_bonds(self, budget, allSecurities):
recommendations = recom.rank_etfs()
pop = recom.recommend_etf(recommendations)
security = next(pop)
print('Checking if bond {} exists in portfolio'.format(security))
while self.check_security_in_portfolio(self.portfolio, security):
print('Bond {} exists in portfolio'.format(security))
security = next(pop)
self.addNewSecurity(security, budget, allSecurities)
def removeBondsToBalance(self, security_dict, bonds_alloc,
recommended_bonds_alloc):
recommendations = recom.rank_etfs('Mid')
pop = recom.reversed_recommend_etf(recommendations)
while (bonds_alloc > recommended_bonds_alloc):
security = next(pop)
while (not ut.check_security_in_portfolio(self.portfolio,
security)):
security = next(pop)
security_exposure = self.portfolio[security] * security_dict[
security]['Price'] / self.client['Capital'] * 100
fit_exposure = min(security_exposure,
bonds_alloc - recommended_bonds_alloc)
if (fit_exposure == security_exposure):
# delete dictionary entry
self.deteleSecurity(security)
bonds_alloc -= fit_exposure
elif (fit_exposure < security_exposure):
# delete some of the shares
shares_to_delete = fit_exposure / 100 * self.client[
'Capital'] / security_dict[security]['Price']
self.deleteSharesFromSecurity(shares_to_delete, security)
bonds_alloc -= fit_exposure