End of code

end.py

prices = df['Adj Close'].tolist()
first_price = prices[0]

new_col = [current_price, current_price, current_price, current_price, current_price, current_price]

if hold > 0:
    holding = [['Buy and Hold', hold, 1, first_price, np.nan, hold, np.nan, hold, np.nan, np.inf, 1]]
else:
    holding = [['Buy and Hold', hold, 1, first_price, np.nan, np.nan, hold, np.nan, hold, 0, 0]]

dataframe = pd.DataFrame(list(zip(signals, change, num_of_trades, last_buy, last_sell, average_gain, average_loss, max_return, max_loss, gain_loss, success_rate)), columns =['Strategy', 'Total Return' ,'Number of Trades', 'Last Buy', 'Last Sell' ,'Average Gain', 'Average Loss', 'Max Return', 'Max Loss', 'Gain/Loss Ratio', 'Success Rate'])
dataframe = dataframe.append(pd.DataFrame(holding, columns =['Strategy', 'Total Return' ,'Number of Trades', 'Last Buy', 'Last Sell', 'Average Gain', 'Average Loss', 'Max Return', 'Max Loss', 'Gain/Loss Ratio', 'Success Rate']),ignore_index=True)
dataframe = dataframe.set_index('Strategy')
dataframe = dataframe.sort_values('Total Return', ascending=False)
dataframe = dataframe.round(2)
print ('\nFull Statistics: ')
print (dataframe)
print ('\nCurrent Price: ' + str(current_price))