Getting conflicting results when reviewing stats['_trades'] vs stepping through the code.

[MrDenfish]

First off, I really like how backtesting.py is expanding my knowledge of backtesting trading strategies.
I have run into a problem I cannot figure out. I am new to the program as well as python and I find myself stumped.

I wrote a small Strategy that compares a few EMA's with different time frames, 1 & 5 min, using resample_apply. I am also using a 50 and 200 day EMA and SMA.
I realize EMA needs several bars to get warmed up, when I step through the lines of code, the first trade happens on the second bar.
However trades are not logged until both the 50 and 200 moving average are greater than 0. If those conditions are not needed ( I think i have set up things to account for this) then why do the trades appear to be dependant on them being positive?

I am most interested in why, but will be grateful for any insight on how to create a solution for future strategies.

I hope someone can shed some light on my dilemma. I put the code on COLAB if anyone is interested.
https://colab.research.google.com/drive/1tBPGxRNX4pmfDJ_TiGjHFnAjjTwksDC2?usp=sharing

  Size  EntryBar  ExitBar  EntryPrice   ExitPrice         PnL  ReturnPct  EntryTime   ExitTime Duration

0 19.0 200 207 49.764600 51.129714 25.937161 0.027431 2017-10-18 2017-10-27 9 days
1 19.0 207 227 51.090910 52.492406 26.628429 0.027431 2017-10-27 2017-11-27 31 days
2 19.0 227 252 52.842275 54.291814 27.541236 0.027431 2017-11-27 2018-01-03 37 days
3 19.0 252 259 54.259311 55.747721 28.279790 0.027431 2018-01-03 2018-01-12 9 days

`
class EMACross(Strategy):

shortlen = 2
longlen = 12
offset = 1
tp = 3
sl = 18

def init(self):

    factor(data,1)#partial share computations        
    self.ema9_1min = self.I(talib.EMA, self.data.Open.s, self.shortlen,name="ema9 1min", overlay=True, color='Yellow', plot=True)
    
    self.ema20_1min = self.I(talib.EMA, self.data.Open.s, self.shortlen,name="ema20 1min", overlay=True,color='Yellow', plot=True)
    
    self.ema9_5min = resample_apply('5T',talib.EMA,self.data.Close,self.shortlen,name= "ema9 5 min",overlay=True,plot=True)
    
    self.ema20_5min = resample_apply('5T',talib.EMA,self.data.Close.s,self.longlen,name= "ema20 5 min",overlay=True,plot=True)
   
    self.ema50 = self.I(talib.EMA, self.data.Open.s, 50, plot=True)
    
    self.ema200 = self.I(talib.EMA, self.data.Open.s,200, color='Blue', plot=True)
   
    self.sma50 = self.I(talib.SMA,self.data.Open.s,50,color='Aqua',plot=True)
    
    self.count = 0
   

def next(self):
    
    self.bullish = False
    self.bearish = False
   
    price = self.data.Close[-1]
    
    #<><><><><><><  BULLISH ><><><><><><><><><><><><><><><><><><><><><><><>
    self.golden = crossover(self.ema50, self.ema200)

    self.extrmbull = (crossover(self.ema9_1min, self.sma50)
          and crossover(self.ema20_1min, self.sma50))
    
    self.bullema = ((self.ema9_1min > self.ema20_1min) and (self.ema9_5min >
        self.ema20_5min) and (self.data.Open[self.offset] > self.ema9_1min))
    
    if (self.golden or self.extrmbull or self.bullema) and self.position:# get out if  position held.
        self.bullish = True
        
        
    #<><><><><><><  BEARISH ><><><><><><><><><><><><><><><><><><><><><><><>   
    
    self.deathx = crossover(self.ema200, self.ema50)
    
    self.bearema = (((crossover(self.ema9_1min,self.ema20_1min) or crossover(self.ema9_5min,self.ema20_5min)) and
        (self.ema9_1min < self.ema20_1min) or (self.ema9_5min < self.ema20_5min)))
                    
    self.getin = self.ema9_1min < self.data.Close

    if (self.getin or self.bullema or self.deathx ) and (not self.position ) and self.ema50 > 0 and self.ema200>0: # get in if  no position is held
        self.bearish = True
        
    #<><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><>
    
    if self.bearish and self.bullish:
        self.bullish = False
        self.bearish = False
       
    if self.bullish and self.position:
        self.position.close()
        
    elif (self.ema9_1min[-1] > 0) and self.bearish and (self.ema9_1min[-1] < self.data.Open[-1]):
        if not self.position:
            self.buy(size=.99, sl=price*((100-self.sl)/100),tp=price*((100+self.tp)/100))`