text: import pandas as pd
  import os
  from datetime import datetime, date, timedelta
  import numpy as np
  
  __author__ = 'Duy Cao'
  __copyright__ = 'Duy Cao, 2020'
  __license__ = 'MIT'
  __status__ = 'release'
  __url__ = 'https://github.com/caominhduy/bitcoin-indicated'
  __version__ = '1.0'
  
  NOMICS_API_KEY = 'e19a802cb19367a00e3d66638e9e974f'
  
  def live_data():
      # Read historical exchange rate from Nomics
      nomics_url = f'https://api.nomics.com/v1/exchange-rates/history?key={NOMICS_API_KEY}&start=2020-01-01T00%3A00%3A00Z&currency=BTC'
      nomics_df = pd.read_json(nomics_url)
      nomics_df['timestamp'] = nomics_df['timestamp'].dt.date
      nomics_df = nomics_df.rename(columns={'timestamp':'date', 'rate':'nomics'})
      latest_date = nomics_df['date'].max()
  
      # Read historical exchange rate from Coindesk
      coindesk_url = f'https://api.coindesk.com/v1/bpi/historical/close.json?start=2020-01-01&end={latest_date}'
      df = pd.read_json(coindesk_url)
      df = df.drop(['disclaimer', 'time'], 1)
      df = df[:-2].reset_index().rename(columns={'index':'date', 'bpi':'coindesk'})
      df['date'] = pd.to_datetime(df['date']).dt.date
  
      df = df.merge(nomics_df, on=['date'], how='inner')
  
      return df
  