def cryptocurrency(API_key, currency):
from alpha_vantage.cryptocurrencies import CryptoCurrencies
import matplotlib.pyplot as plt
cc=CryptoCurrencies(key=API_key,output_format='pandas')
option=input('1. Exchange Rates\n2. Health Index\n3. Daily\n4. Weekly\n5. Monthly\n').lower()
if option=='exchange rates' or option=='1':
data=cc.get_currency_exchange_rate(from_currency=currency, to_currency='USD')[0]
return data
elif option=='health index' or option=='2':
data=cc.get_crypto_rating(symbol=currency)[0]
return data
elif option=='daily' or option=='3':
data=cc.get_digital_currency_daily(symbol=currency, market='CNY')[0]
data.plot()
plt.title(f'Crypto Daily for the {currency} stock')
plt.tight_layout()
plt.grid()
plt.show()
return data
elif option=='weekly' or option=='4':
data=cc.get_digital_currency_weekly(symbol=currency, market='CNY')[0]
data.plot()
plt.title(f'Crypto Weekly for the {currency} stock')
plt.tight_layout()
plt.grid()
plt.show()
return data
elif option=='monthly' or option=='5':
data=cc.get_digital_currency_monthly(symbol=currency, market='CNY')[0]
data.plot()
plt.title(f'Crypto Monthly for the {currency} stock')
plt.tight_layout()
plt.grid()
plt.show()
return data
else:
print("DATA NOT AVAILABLE")
ti = TechIndicators(key=mykey, output_format='pandas')
data, meta_data = ti.get_bbands(symbol=myticker, time_period=20)
data.tail(252).plot() # Plot last year only.
plt.title('BBbands indicator for ' + myticker)
plt.show()
# Sector performance.
sp = SectorPerformances(key=mykey, output_format='pandas')
data, meta_data = sp.get_sector()
data['Rank G: Year Performance'].plot(kind='bar')
plt.title('Sector Performance (Year)')
plt.tight_layout()
plt.grid()
plt.show()
# Crypto currencies.
cc = CryptoCurrencies(key=mykey, output_format='pandas')
data, meta_data = cc.get_digital_currency_daily(symbol='BTC', market='CNY')
data['4b. close (USD)'].plot(logy=True)
plt.tight_layout()
plt.title('Daily Value for Bitcoin (BTC)')
plt.grid()
plt.show()
# Foreign exchange data is only available as JSON format (not in CSV
# or Pandas format). There's also no metadata in this call (so we just
# use a placeholder `_`).
cc = ForeignExchange(key=mykey)
data, _ = cc.get_currency_exchange_rate(from_currency='EUR', to_currency='USD')
pprint(data)
