def test_indices_errors():
"""
This function raises errors on index retrieval functions
"""
try:
retrieve_indices(test_mode=None)
except:
pass
try:
retrieve_index_countries(test_mode=None)
except:
pass
params = [
{
'country': ['error']
},
{
'country': 'error'
},
]
for param in params:
try:
investpy.get_indices(country=param['country'])
except:
pass
try:
investpy.get_indices_list(country=param['country'])
except:
pass
params = [
{
'country': ['error'],
'columns': None,
'as_json': False
},
{
'country': 'spain',
'columns': None,
'as_json': 'error'
},
{
'country': 'spain',
'columns': 0,
'as_json': True
},
{
'country': 'spain',
'columns': ['error'],
'as_json': False
},
]
for param in params:
try:
investpy.get_indices_dict(country=param['country'],
columns=param['columns'],
as_json=param['as_json'])
except:
pass
params = [
{
'index': None,
'country': 'spain',
'as_json': False,
'order': 'ascending',
'debug': True
},
{
'index': ['error'],
'country': 'spain',
'as_json': False,
'order': 'ascending',
'debug': True
},
{
'index': 'ibex 35',
'country': None,
'as_json': False,
'order': 'ascending',
'debug': True
},
{
'index': 'ibex 35',
'country': 'error',
'as_json': False,
'order': 'ascending',
'debug': True
},
{
'index': 'ibex 35',
'country': 'netherlands',
'as_json': False,
'order': 'ascending',
'debug': True
},
{
'index': 'ibex 35',
'country': ['error'],
'as_json': False,
'order': 'ascending',
'debug': True
},
{
'index': 'ibex 35',
'country': 'spain',
'as_json': 'error',
'order': 'ascending',
'debug': True
},
{
'index': 'ibex 35',
'country': 'spain',
'as_json': True,
'order': 'error',
'debug': True
},
{
'index': 'error',
'country': 'spain',
'as_json': True,
'order': 'ascending',
'debug': True
},
{
'index': ['error'],
'country': 'spain',
'as_json': True,
'order': 'ascending',
'debug': True
},
{
'index': 'ibex 35',
'country': 'spain',
'as_json': True,
'order': 'ascending',
'debug': 'error'
},
]
for param in params:
try:
investpy.get_index_recent_data(index=param['index'],
country=param['country'],
as_json=param['as_json'],
order=param['order'],
debug=param['debug'])
except:
pass
params = [
{
'index': None,
'country': 'spain',
'from_date': '01/01/2018',
'to_date': '01/01/2019',
'as_json': False,
'order': 'ascending',
'debug': True
},
{
'index': 'ibex 35',
'country': 'error',
'from_date': '01/01/2018',
'to_date': '01/01/2019',
'as_json': False,
'order': 'ascending',
'debug': True
},
{
'index': 'ibex 35',
'country': 'netherlands',
'from_date': '01/01/2018',
'to_date': '01/01/2019',
'as_json': False,
'order': 'ascending',
'debug': True
},
{
'index': 'ibex 35',
'country': None,
'from_date': '01/01/2018',
'to_date': '01/01/2019',
'as_json': False,
'order': 'ascending',
'debug': True
},
{
'index': 'ibex 35',
'country': ['error'],
'from_date': '01/01/2018',
'to_date': '01/01/2019',
'as_json': False,
'order': 'ascending',
'debug': True
},
{
'index': 'ibex 35',
'country': 'spain',
'from_date': '01/01/2018',
'to_date': '01/01/2019',
'as_json': 'error',
'order': 'ascending',
'debug': True
},
{
'index': 'ibex 35',
'country': 'spain',
'from_date': '01/01/2018',
'to_date': '01/01/2019',
'as_json': False,
'order': 'error',
'debug': True
},
{
'index': 'ibex 35',
'country': 'spain',
'from_date': 'error',
'to_date': '01/01/2019',
'as_json': False,
'order': 'ascending',
'debug': True
},
{
'index': 'ibex 35',
'country': 'spain',
'from_date': '01/01/2019',
'to_date': 'error',
'as_json': False,
'order': 'ascending',
'debug': True
},
{
'index': 'error',
'country': 'spain',
'from_date': '01/01/2018',
'to_date': '01/01/2019',
'as_json': False,
'order': 'ascending',
'debug': True
},
{
'index': ['error'],
'country': 'spain',
'from_date': '01/01/2018',
'to_date': '01/01/2019',
'as_json': False,
'order': 'ascending',
'debug': True
},
{
'index': 'ibex 35',
'country': 'spain',
'from_date': '01/01/1998',
'to_date': '01/01/2019',
'as_json': False,
'order': 'ascending',
'debug': True
},
{
'index': 'ibex 35',
'country': 'spain',
'from_date': '01/01/2019',
'to_date': '01/01/1998',
'as_json': False,
'order': 'ascending',
'debug': True
},
{
'index': 'ibex 35',
'country': 'spain',
'from_date': '01/01/1900',
'to_date': '01/01/1950',
'as_json': False,
'order': 'ascending',
'debug': True
},
{
'index': 'ibex 35',
'country': 'spain',
'from_date': '01/01/2019',
'to_date': '01/03/2019',
'as_json': True,
'order': 'ascending',
'debug': 'error'
},
]
for param in params:
try:
investpy.get_index_historical_data(index=param['index'],
country=param['country'],
from_date=param['from_date'],
to_date=param['to_date'],
as_json=param['as_json'],
order=param['order'],
debug=param['debug'])
except:
pass
params = [
{
'by': None,
'value': 'ibex',
},
{
'by': ['error'],
'value': 'ibex',
},
{
'by': 'error',
'value': 'ibex',
},
{
'by': 'name',
'value': None,
},
{
'by': 'name',
'value': ['error'],
},
{
'by': 'name',
'value': 'error',
},
]
for param in params:
try:
investpy.search_indices(by=param['by'], value=param['value'])
except:
pass
def test_investpy_indices():
"""
This function checks that index data retrieval functions listed in investpy work properly.
"""
params = [
{
'country': 'spain',
},
{
'country': None,
},
]
for param in params:
investpy.get_indices(country=param['country'])
investpy.get_indices_list(country=param['country'])
params = [
{
'country': None,
'columns': ['name', 'currency'],
'as_json': True
},
{
'country': None,
'columns': ['name', 'currency'],
'as_json': False
},
{
'country': 'spain',
'columns': ['name', 'currency'],
'as_json': True
},
{
'country': 'spain',
'columns': ['name', 'currency'],
'as_json': False
},
{
'country': 'spain',
'columns': None,
'as_json': False
},
]
for param in params:
investpy.get_indices_dict(country=param['country'],
columns=param['columns'],
as_json=param['as_json'])
investpy.get_index_countries()
params = [
{
'as_json': True,
'order': 'ascending',
},
{
'as_json': False,
'order': 'ascending',
},
{
'as_json': True,
'order': 'descending',
},
{
'as_json': False,
'order': 'descending',
},
]
for param in params:
investpy.get_index_recent_data(index='ibex 35',
country='spain',
as_json=param['as_json'],
order=param['order'],
interval='Daily')
investpy.get_index_historical_data(index='ibex 35',
country='spain',
from_date='01/01/2018',
to_date='01/01/2019',
as_json=param['as_json'],
order=param['order'],
interval='Daily')
params = [
{
'index': 'ibex 35',
'country': 'spain',
'as_json': False
},
{
'index': 'ibex 35',
'country': 'spain',
'as_json': True
}
]
for param in params:
investpy.get_index_information(index=param['index'], country=param['country'], as_json=param['as_json'])
params = [
{
'country': 'united states',
'as_json': False,
'n_results': 10
},
{
'country': 'united kingdom',
'as_json': True,
'n_results': 10
}
]
for param in params:
investpy.get_indices_overview(country=param['country'], as_json=param['as_json'], n_results=param['n_results'])
investpy.search_indices(by='name', value='ibex')
soup = BeautifulSoup(page, 'html.parser')
content = soup.find('span',{'class':'t-text -size-lg -black-warm-60 text-bold'})
spread = content.contents
s = pd.DataFrame(spread)
s = s.rename(columns={0:'perf_sett'})
s['tipo'] = 'spread_btp_bund'
s['perf_mese'] = 'non_disponibile'
s = s[['tipo','perf_sett','perf_mese']]
return s
s = spread(url)
## Indici di mercato
df_it = investpy.get_index_recent_data(index='MSCI Italy Net EUR',country='italy') # italia
df_eu = investpy.get_index_recent_data(index='MSCI Europe Net EUR',country='euro zone') # europa
df_us = investpy.get_index_recent_data(index='MSCI US Net USD',country='united states') # usa
df_jp = investpy.get_index_recent_data(index='MSCI Japan Net JPY',country='japan') # japan
df_ci = investpy.get_index_recent_data(index='MSCI China Net USD',country='china') # china
df_mt = investpy.get_index_recent_data(index='MSCI World Info Tech Net USD',country='world') # mondo tech
df_em = investpy.get_index_recent_data(index='MSCI EM Net USD',country='world') # emergenti
df_ge = investpy.get_index_recent_data(index='TR Eurozone 10 Years Government Benchmark',country='euro zone') # governativo eurozona
df_gu = investpy.get_index_recent_data(index='TR US 10 Year Government Benchmark',country='united states') # governativo usa
df_iu = investpy.get_index_recent_data(index='DJ Equal Weight US Issued Corporate Bond TR',country='united states') # ig corp usa
df_or = investpy.get_index_recent_data(index='Bloomberg Gold TR',country='world') # oro
df_wt = investpy.get_index_recent_data(index='Bloomberg WTI Crude Oil TR',country='world') # wti
## Creo dataframe finale
index = [df_it,df_eu,df_us,df_jp,df_ci,df_mt,df_em,df_ge,df_gu,df_iu,df_or,df_wt,eur_gbp,eur_usd,eur_yen]
def test_investpy_indices():
"""
This function checks that index data retrieval functions listed in investpy work properly.
"""
params = [
{
'country': 'spain',
},
{
'country': None,
},
]
for param in params:
investpy.get_indices(country=param['country'])
investpy.get_indices_list(country=param['country'])
params = [
{
'country': None,
'columns': ['name', 'currency'],
'as_json': True
},
{
'country': None,
'columns': ['name', 'currency'],
'as_json': False
},
{
'country': 'spain',
'columns': ['name', 'currency'],
'as_json': True
},
{
'country': 'spain',
'columns': ['name', 'currency'],
'as_json': False
},
{
'country': 'spain',
'columns': None,
'as_json': False
},
]
for param in params:
investpy.get_indices_dict(country=param['country'],
columns=param['columns'],
as_json=param['as_json'])
investpy.get_index_countries()
params = [
{
'as_json': True,
'order': 'ascending',
'debug': False
},
{
'as_json': False,
'order': 'ascending',
'debug': True
},
{
'as_json': True,
'order': 'descending',
'debug': False
},
{
'as_json': False,
'order': 'descending',
'debug': False
},
]
for param in params:
investpy.get_index_recent_data(index='ibex 35',
country='spain',
as_json=param['as_json'],
order=param['order'],
debug=param['debug'])
investpy.get_index_historical_data(index='ibex 35',
country='spain',
from_date='01/01/2018',
to_date='01/01/2019',
as_json=param['as_json'],
order=param['order'],
debug=param['debug'])
investpy.search_indices(by='name', value='ibex')
import numpy as np
import tensorflow as tf
import re
import time
import investpy
import pandas as pd
import matplotlib.pyplot as plt
import math
from sklearn.preprocessing import MinMaxScaler
index = 's&P 500'
#SP500
df = investpy.get_index_recent_data(index=index,
country='United States')
#df.drop(['Currency','Volume'] , axis=1 , inplace=True)
#Drop not need
df.drop('Currency',axis=1,inplace=True)
#Plot the mean
#Featch the trend
df['Close'].plot(figsize=(16,8), linewidth=5, fontsize=10)
plt.title('Close',fontsize=20)
plt.savefig('IndexPlot/ ' + index + ' Close.png')
close = df[['Close']]
close.rolling(12).mean().plot(figsize=(16,8), linewidth=5, fontsize=10)
plt.title('Close Rolling Mean',fontsize=20)
plt.savefig('IndexPlot/ ' + index +' Close Rolling 12.png')
