Quickstart guide code not working

[choc2015]

I'm trying to get the backtester quickstart guide code working however currently all it does is nothing is print the portfolio value and some line buffer object:
Starting Portfolio Value: 100000.00
<backtrader.linebuffer.LineBuffer object at 0x0000019BB31D1670> dataclose
Here is my code:

from __future__ import(absolute_import, division, print_function, unicode_literals)

import datetime
import os.path
import sys
import btoandav20
import backtrader as bt
below50 = False
above150 = False
class TestStrategy(bt.Strategy):
    params50 = 50
    params100 = 100
    params150 = 150

    
    def __init__(self):
        self.dataclose = self.datas[0].close
        print(self.dataclose, "dataclose")
        self.ema50 = bt.indicators.EMA(self.data[0], period = self.params50)
        self.ema100 = bt.indicators.EMA(self.data[0], period = self.params100)
        self.ema150 = bt.indicators.EMA(self.data[0], period = self.params150)

    def log(self, txt, dt=None):
        dt = dt or self.datas[0].datetime.date(0)
        print(f'{dt.isoformat()}{txt}')

    def next(self):
        self.log('Close:' , self.dataclose[0])
        print('Close:', self.dataclose[0])
        if self.data[0] <= self.ema50 +0.0003 and below50 == False:
            below50 = True

        if self.data[0] < self.ema150 and below50 == True:
            below50 = True

        if self.data[0] == self.ema150 -0.0003:
            above150 = True

        if self.data[0] >= self.ema50 and above150 == True:
             above150 = False

        if below50 == True and self.data[0] >= self.ema50:
            self.log('BUY CREATE, %.2F' % self.data[0])
            self.buy()

            
            
            
            
        
        

if __name__ == '__main__':
    cerebro = bt.Cerebro()

    #modpath = os.path.dirname(os.path.abspath(sys.argv[0]))
    #datapath = ('C:\\Users\\admin1\\anaconda3\\Menu\\csv_data\\1m-2021-02-01')


    data = bt.feeds.YahooFinanceCSVData(dataname='C:\\Users\\admin1\\anaconda3\\EURUSD.csv')
    #data_resampled = data.resample(timeframe=bt.TimeFrame.Minutes, compression=1)
    
    cerebro.adddata(data)

    cerebro.broker.setcash(100000.0)
    

    print('Starting Portfolio Value: %.2f' % cerebro.broker.getvalue())
    cerebro.addstrategy(TestStrategy)
    cerebro.run()

    print('Final Portfolio Value: %.2f' %cerebro.broker.getvalue())

[run-out]

@choc2015 I'm pretty confident this is not from the quickstart guide. :) You have a lot of things going wrong in your code. I would suggest you spend some time on the code examples without trying too much at first, and then you'll find a much easier path to your algos. Let us know how it goes.

[choc2015]

nevermind, I figured it out