s-tlm

import pandas as pd
from matplotlib import pyplot as plt 
import os

# Class setup
class MovingAverage():
    def __init__(self, closing_prices):
        self.data = pd.DataFrame(closing_prices) 

    def EMA(self, averaging_length=50):

s-tlm

buy = pd.DataFrame(index=closing_prices.index, columns=['Buy']) # an empty data-frame to store buy signals
sell = pd.DataFrame(index=closing_prices.index, columns=['Sell']) # an empty data-frame to store sell signals

for i in range(1, len(closing_prices)): # ignores first value of historical data as MACD will be equal to signal line there
    if i == 1:
        if MACD['EMA'].iloc[i] > signal_line['EMA'].iloc[i]:
            high = 'MACD'
        else:
            high = 'SIGNAL'
    elif MACD['EMA'].iloc[i] > signal_line['EMA'].iloc[i]:

s-tlm

import pandas as pd
import os

# Class setup
class MovingAverage():
    def __init__(self, closing_prices):
        self.data = pd.DataFrame(closing_prices) 

    def EMA(self, averaging_length=50):
        ret = self.data.ewm(