ema dataframe

# setup EMA indicator values
def setup_ema():
    
    ticksAgo = datetime.datetime.now() - timedelta(hours= 24)
    candlesticks = client.get_historical_klines(EXCHANGE, Client.KLINE_INTERVAL_3MINUTE, str(ticksAgo))

    for candle in candlesticks:
        del candle[-6:]
    
    ema = pd.DataFrame(candlesticks, columns=['date', EXCHANGE+'_O', EXCHANGE+'_H', \
                                             EXCHANGE+'_L', EXCHANGE+'_C', EXCHANGE+'_V'])
    ema['date'] = pd.to_datetime(sma['date'], unit='ms')
    ema[EXCHANGE+'_O'] = ema[EXCHANGE+'_O'].astype(float)
    ema[EXCHANGE+'_H'] = ema[EXCHANGE+'_H'].astype(float)
    ema[EXCHANGE+'_L'] = ema[EXCHANGE+'_L'].astype(float)
    ema[EXCHANGE+'_C'] = ema[EXCHANGE+'_C'].astype(float)
    ema[EXCHANGE+'_V'] = ema[EXCHANGE+'_V'].astype(float)
    
    # use 3-minute delta as API uses tick beginning time
    ema['date'] = ema['date'] + pd.to_timedelta(3, unit='m')
    ema = sma.set_index('date')

    # add triple EMA
    ema['EMA20'] = talib.EMA(ema[EXCHANGE+'_C'], timeperiod = 20)
    ema['EMA50'] = talib.EMA(ema[EXCHANGE+'_C'], timeperiod = 50)
    ema['EMA200'] = talib.EMA(ema[EXCHANGE+'_C'], timeperiod = 200)
    
    return ema