def test_investpy_technical():
"""
This function checks that investpy news retrieval functionality works as expected.
"""
params = [
{
'name': 'bbva',
'country': 'spain',
'product_type': 'stock',
'interval': 'weekly',
},
{
'name': 'bbva mi inversion rf mixta fi',
'country': 'spain',
'product_type': 'fund',
'interval': 'daily',
},
]
for param in params:
investpy.technical_indicators(name=param['name'],
country=param['country'],
product_type=param['product_type'],
interval=param['interval'])
investpy.moving_averages(name=param['name'],
country=param['country'],
product_type=param['product_type'],
interval=param['interval'])
investpy.pivot_points(name=param['name'],
country=param['country'],
product_type=param['product_type'],
interval=param['interval'])
def test_investpy_technical():
"""
This function checks that investpy news retrieval functionality works as expected.
"""
params = list()
for interval in list(investpy.utils.constant.INTERVAL_FILTERS.keys()):
params.append({
'name': 'bbva',
'country': 'spain',
'product_type': 'stock',
'interval': interval
})
for param in params:
investpy.technical_indicators(name=param['name'],
country=param['country'],
product_type=param['product_type'],
interval=param['interval'])
investpy.moving_averages(name=param['name'],
country=param['country'],
product_type=param['product_type'],
interval=param['interval'])
investpy.pivot_points(name=param['name'],
country=param['country'],
product_type=param['product_type'],
interval=param['interval'])
def test_investpy_technical():
"""
This function checks that investpy technical retrieval functionality works as expected.
"""
params = list()
for interval in list(investpy.utils.constant.INTERVAL_FILTERS.keys()):
params.append({
'name': 'bbva',
'country': 'spain',
'product_type': 'stock',
'interval': interval
})
for param in params:
investpy.technical_indicators(name=param['name'],
country=param['country'],
product_type=param['product_type'],
interval=param['interval'])
investpy.moving_averages(name=param['name'],
country=param['country'],
product_type=param['product_type'],
interval=param['interval'])
investpy.pivot_points(name=param['name'],
country=param['country'],
product_type=param['product_type'],
interval=param['interval'])
issue284 = investpy.technical_indicators(name='bbva',
country='spain',
product_type='stock',
interval='daily')
assert len(issue284.columns) == 5
index284 = issue284.index
assert len(index284) == 16
assert issue284.columns[0] == 'Name'
assert issue284.columns[2] == 'Value'
assert issue284.columns[4] == 'Action'
assert issue284['Name'][14] == 'Price'
assert issue284['Name'][15] == 'DateTimeStamp'
assert str(type(issue284['Value'][14])) == "<class 'str'>"
assert str(type(issue284['Value'][15])) == "<class 'str'>"
def get_technical_indicators(symbol, interval):
return inp.technical_indicators(
name=symbol, country='turkey', product_type='stock',
interval=interval).set_index('technical_indicator').rename(
columns={
'value': 'Değer',
'signal': 'Gösterge'
})
def señal(indicador, nombre, pais):
rec = ''
if indicador == 1:
data = investpy.technical_indicators(name=nombre,
country=pais,
product_type='stock',
interval='daily')
if data.loc[0, 'signal'] == 'sell':
rec = 'vender'
else:
rec = 'comprar'
return nombre, data.loc[0, 'value'], rec
elif indicador == 2:
data = investpy.moving_averages(name=nombre,
country=pais,
product_type='stock',
interval='daily')
if data.loc[0, 'sma_signal'] == 'sell':
rec = 'vender'
else:
rec = 'comprar'
return nombre, data.loc[0, 'sma_value'], rec
elif indicador == 3:
data = investpy.technical_indicators(name=nombre,
country=pais,
product_type='stock',
interval='daily')
data2 = investpy.moving_averages(name=nombre,
country=pais,
product_type='stock',
interval='daily')
if data.loc[0, 'signal'] == 'sell':
rec = 'vender'
else:
rec = 'comprar'
if data2.loc[0, 'sma_signal'] == 'sell':
rec2 = 'vender'
else:
rec2 = 'comprar'
return nombre, data.loc[0, 'value'], rec, data2.loc[0,
'sma_value'], rec2
