docs: def parse_changes(json):
      """ Gets price changes from JSON
  
      Args:
          json: JSON data as a list of dict dates, where the keys are
              the raw market statistics.
  
      Returns:
          List of floats of price changes between entries in JSON.
      """
      changes = []
      dates = len(json)
      for date in range(1, dates): 
          last_close = json[date - 1]['close']
          now_close = json[date]['close']
          changes.append(now_close - last_close)
      logger.debug('Market Changes (from JSON):\n{0}'.format(changes))
      return changes