Attempting to create a Directional Trend Index?

Hello!
So this is my first time posting in the community forum! I believe my problem is that I am trying to run a talib EMA function over only a single data point and I need a numpy.arrry of at least 14 for this to happen but I'm unsure of how to achieve that desired goal? Any help would be enormously appreciated!

import talib
import numpy as np
import pandas as pd

# Put any initialization logic here.  The context object will be passed to
# the other methods in your algorithm.
def initialize(context):
context.stock = sid(24)
context.trailing_20 = []
set_long_only()

# Will be called on every trade event for the securities you specify.
def handle_data(context, data):
price = data[context.stock].price
# Load historical data for the stocks
high =  history(20, '1d', 'high')
stock_high = high[context.stock]
if (stock_high[-1] - stock_high[-2]) > 0:
xHMU = (stock_high[-1] - stock_high[-2])
else:
xHMU = 0
low =  history(20, '1d', 'low')
stock_low = low[context.stock]
if (stock_low[-1] - stock_low[-2]) < 0:
xLMD = -(stock_low[-1] - stock_low[-2])
else:
xLMD = 0
xPrice = (xHMU - xLMD)

record(xPrice = xPrice)
Where_I_Need_Help = talib.EMA(xPrice, timeperiod=14)