async def crypto_current_price(ctx, symbol: str, market: str):
cc = CryptoCurrencies(key=os.environ['ALPHA_VANTAGE_API_KEY'])
data = cc.get_digital_currency_intraday(symbol=symbol, market=market)
current_time = max(data[0].keys())
most_recent_entry = data[0][current_time]
output_header = "{} ({})".format(symbol, market)
output = get_nice_output(output_header, current_time, most_recent_entry)
print(output)
await bot.say(output)
# ------------------------------
# Part Three: Sector Performance
# ------------------------------
sp = SectorPerformances(key='API_KEY', output_format='pandas')
data, metadata = sp.get_sector()
data['Rank A: Real-Time Performance'].plot(kind='bar')
plt.title('Real Time Performance (%) per Sector')
plt.tight_layout()
plt.grid()
plt.show()
# ---------------------------
# Part Four: Cryptocurrencies
# ---------------------------
ticker = 'BTC'
cc = CryptoCurrencies(key='YOUR_API_KEY', output_format='pandas')
data, metadata = cc.get_digital_currency_intraday(symbol=ticker, market='CNY')
data['1b. price (USD)'].plot()
plt.tight_layout()
plt.title('Intraday value for bitcoin (BTC)')
plt.grid()
plt.show()
# --------------------------------
# Part Five: Foreign Exchange (FX)
# --------------------------------
fe = ForeignExchange(key='YOUR_API_KEY')
# No metadata here
data, _ = fe.get_currency_exchange_rate(from_currency='BTC', to_currency='USD')
pprint(data)
# Source(s):
# [http://www.alphavantage.co/documentation]
from alpha_vantage.cryptocurrencies import CryptoCurrencies
from pprint import pprint
Cryp = CryptoCurrencies(key='YOUR_API_KEY', output_format = 'pandas')
Data, meta_data = Cryp.get_digital_currency_intraday(symbol='BTC', market='INR')
pprint(Data.head(2))
#head(2) represents 2 entries of different intervals
import matplotlib.pyplot as plt
plt.figure(figsize=(10,10))
Data['1a. price (INR)'].plot()
plt.tight_layout()
plt.title('Intraday value for bitcoin (BTC)')
plt.grid()
#plt.show()
plt.savefig('CurrencyPlot.png')
'''
def getCrypto(bot, update, args):
try:
# The args contain the crypto name
cryptoName = " ".join(args).upper()
# Call the constructor of the Alphavantage API wrapper
cc = CryptoCurrencies(key=alphaVantage_apiKey, output_format='pandas')
# Calls the method to fetch intraday prices
data, meta_data = cc.get_digital_currency_intraday(cryptoName,
market='USD')
#Plotting the close values
data['1a. price (USD)'].plot()
# To show all of the graph, since crypto prices can spike a lot
plt.tight_layout()
plt.grid()
#Setting the Graph title
plotTitle = 'Intraday price for {}'.format(cryptoName)
plt.title(plotTitle)
# Using a Python Util called Temporary file in order to convert the graph into a file object
#tmpfile = tempfile.TemporaryFile(suffix=".png")
tmpfile = BytesIO()
plt.savefig(tmpfile, format="png")
tmpfile.seek(0)
img = tmpfile
# Calls the method to fetch daily prices
data, meta_data = cc.get_digital_currency_daily(cryptoName,
market='USD')
dataList = data.iloc[-1]
openUSD = dataList['1a. open (USD)']
highUSD = dataList['2a. high (USD)']
lowUSD = dataList['3a. low (USD)']
closeUSD = dataList['4a. close (USD)']
volume = dataList['5. volume']
marketCapUSD = dataList['6. market cap (USD)']
message = '''
<b> {} </b>
\n Open: <em>${}</em>
\n Close: <em>${}</em>
\n High: <em>${}</em>
\n Low: <em>${}</em>
\n Volume: <em>{}</em>
\n Market Cap: <em>${}</em>
'''.format(cryptoName, openUSD, highUSD, lowUSD, closeUSD, volume,
marketCapUSD)
update.message.reply_photo(img)
plt.close()
# Sends the above formatted message to the user
update.message.reply_html(message)
except Exception as e:
# Catches the exception and prints the stack trace
logging.exception("message")
message = '''You probably used the incorrect format for the command.\nUse <pre>/crypto <pre>'companyName' </pre>\nFor more info, please check /help'''
# If any exception, send the message showing the frequent cause of exception
update.message.reply_html(message)
def alpha_collect_crypto():
cc = CryptoCurrencies(key=Config.keys.alphaVantageApi, output_format='pandas')
data, meta_data = cc.get_digital_currency_intraday(symbol='INDEXSP', interval='60min', outputsize='full')
from alpha_vantage.cryptocurrencies import CryptoCurrencies
cc = CryptoCurrencies(key='XNPHCZ8ACJ6PW4T6')
data, meta_data = cc.get_digital_currency_intraday(symbol='XRP', market='USD')
dailyData, dailyMetaData = cc.get_digital_currency_daily(symbol='XRP',
market='USD')
print(dailyData)
# data['1b. price (USD)'].plot()
# plt.tight_layout()
# plt.title('Intraday value for ripple (XRP)')
# plt.grid()
# plt.show()
