from alpha_vantage.timeseries import TimeSeries
from alpha_vantage.techindicators import TechIndicators
from alpha_vantage.sectorperformance import SectorPerformances
from alpha_vantage.cryptocurrencies import CryptoCurrencies
import matplotlib
import matplotlib.pyplot as plt
import os
from Robinhood import Robinhood

ts = TimeSeries('Y6XOU2KE1F12H1BW', output_format='pandas')
data, meta_data = ts.get_intraday(symbol='MSFT',interval='1min', outputsize='full')
# We can describe it
print(data.describe())

data['4. close'].plot()
plt.title('Intraday Times Series for the MSFT stock (1 min)')
plt.grid()
plt.show()

print(meta_data)

ti = TechIndicators('Y6XOU2KE1F12H1BW', output_format='pandas')
data, meta_data = ti.get_bbands(symbol='MSFT', interval='60min', time_period=60)
data.describe()
data.plot()
plt.title('BBbands indicator for  MSFT stock (60 min)')
plt.grid()
plt.show()

from Robinhood import Robinhood
my_trader = Robinhood()
logged_in = my_trader.login(username="DshiSPC", password="1qws09390557")
stock_instrument = my_trader.instruments("GEVO")[0]
quote_info = my_trader.quote_data("GEVO")
print(quote_info)