def metrics_initializer(m_data: dict, period='2y'):
"""Metrics Initializer
Keyword Arguments:
period {str} -- (default: {'2y'})
Returns:
list -- downloaded_data, sector_list, index, metrics_file data
"""
sectors = m_data['Components']
tickers = " ".join(sectors)
tickers = index_appender(tickers)
all_tickers = tickers.split(' ')
if isinstance(period, (list)):
period = period[0]
# tickers = index_appender(tickers)
print(" ")
print(f'Fetching Type Composite Index funds for {period}...')
data, _ = download_data_indexes(indexes=sectors,
tickers=all_tickers,
period=period,
interval='1d')
print(" ")
return data, sectors
def metrics_initializer(period='2y', bond_type='Treasury'):
"""Metrics Initializer
Keyword Arguments:
period {str} -- (default: {'2y'})
bond_type {str} -- (default: {'Treasury'})
Returns:
list -- downloaded_data, sector_list, index, metrics_file data
"""
metrics_file = os.path.join("resources", "sectors.json")
if not os.path.exists(metrics_file):
print(f"{WARNING}WARNING: '{metrics_file}' not found for " +
f"'metrics_initializer'. Failed.{NORMAL}")
return {}, [], '', None
with open(metrics_file) as m_file:
m_data = json.load(m_file)
m_file.close()
m_data = m_data.get("Bond_Weight")
if bond_type == 'Treasury':
# Treasury (Gov't only - general alternative would be BSV/BIV/BLV)
data = m_data[bond_type]
tickers = list(data.keys())
tickers = ' '.join(tickers)
index = 'Government'
elif bond_type == 'Corporate':
# Corporate investment-grade bonds (BBB/BAA or higher)
data = m_data[bond_type]
tickers = list(data.keys())
tickers = ' '.join(tickers)
index = 'Corporate'
elif bond_type == 'International':
# BNDX & VWOB
data = m_data[bond_type]
tickers = list(data.keys())
tickers = ' '.join(tickers)
index = 'International'
else:
tickers = 'BND'
if isinstance(period, (list)):
period = period[0]
sectors = tickers.split(' ')
# tickers = index_appender(tickers)
print(" ")
print(f'Fetching {bond_type} Bond Composite Index funds for {period}...')
data, _ = download_data_indexes(indexes=sectors,
tickers=tickers,
period=period,
interval='1d')
print(" ")
return data, sectors, index, m_data
def metrics_initializer(duration: str = 'short') -> list:
"""Metrics Initializer
Keyword Arguments:
duration {str} -- duration of view (default: {'short'})
Returns:
list -- data downloaded and sector list
"""
metrics_file = os.path.join("resources", "sectors.json")
if not os.path.exists(metrics_file):
return None, []
with open(metrics_file) as m_file:
m_data = json.load(m_file)
m_file.close()
m_data = m_data.get("Correlation")
sectors = m_data['tickers']
tickers = " ".join(m_data['tickers'])
START = m_data['start']
tickers = index_appender(tickers)
all_tickers = tickers.split(' ')
date = datetime.now().strftime('%Y-%m-%d')
print(" ")
print('Fetching Correlation Composite Index funds...')
if duration == 'short':
START = datetime.today() - timedelta(days=900)
START = START.strftime('%Y-%m-%d')
data, _ = download_data_indexes(indexes=all_tickers,
tickers=tickers,
start=START,
end=date,
interval='1d')
print(" ")
return data, sectors
def metrics_initializer(period='5y', name='Market Composite Index'):
"""Metrics Initializer
Keyword Arguments:
period {str/list} -- duration of view (default: {'5y'})
name {str} -- (default: {'Market Composite Index'})
Returns:
list -- data downloaded, sector list
"""
metrics_file = os.path.join("resources", "sectors.json")
if not os.path.exists(metrics_file):
print(f"{WARNING}WARNING: '{metrics_file}' not found for " +
f"'metrics_initializer'. Failed.{NORMAL_COLOR}")
return None, []
with open(metrics_file) as m_file:
m_data = json.load(m_file)
m_file.close()
m_data = m_data.get("Market_Composite")
sectors = m_data['tickers']
tickers = " ".join(m_data['tickers'])
tickers = index_appender(tickers)
all_tickers = tickers.split(' ')
if isinstance(period, (list)):
period = period[0]
print(" ")
print(f'Fetching {name} funds for {period}...')
data, _ = download_data_indexes(indexes=all_tickers,
tickers=tickers,
period=period,
interval='1d')
print(" ")
return data, sectors