Ahaa I think I got it now, I just needs to make sure each step only issues one limit order and go from there. Thank you.

I solved it! instead of using

GenericCSVData

I used this instead;

btc = pd.read_csv('/home/dev/PycharmProjects/Backtesting/csvdata/BTCUSDT-1m-data.csv',
                  index_col='timestamp',
                  parse_dates=True)


feed = bt.feeds.PandasData(
    dataname=btc,

    fromdate=datetime.datetime(2020, 1, 1),
    todate=datetime.datetime(2020, 1, 2),

    timeframe=bt.TimeFrame.Minutes,

Now it works! Sorry for wasting anybody's time.

Solved it!
After hours of trying different things I managed to solve it using this code:

    def __init__(self):
        self.ama = bt.indicators.AdaptiveMovingAverage(period=self.p.period,
                                                       fast=self.p.fast,
                                                       slow=self.p.slow,
                                                       plotname='AdaptiveMovingAverage',
                                                       color='yellow')

        #  Create upper & lower band 1
        self.l.top = self.ama * (1 + self.p.perc / 100)
        top = bt.LinePlotterIndicator(self.l.top, name='top', subplot=False)
        top.plotinfo.plotname = 'top'

        self.l.bot = self.ama * (1 - self.p.perc / 100)
        bot = bt.LinePlotterIndicator(self.l.bot, name='bot', subplot=False)
        bot.plotinfo.plotname = 'bot'

        #  Create upper & lower band 2
        self.l.top2 = self.ama * (1 + self.p.perc2 / 100)
        top2 = bt.LinePlotterIndicator(self.l.top2, name='top2', color='cyan', subplot=False)
        top2.plotinfo.plotname = 'top2'

        self.l.bot2 = self.ama * (1 - self.p.perc2 / 100)
        bot2 = bt.LinePlotterIndicator(self.l.bot2, name='bot2', color='cyan', subplot=False)
        bot2.plotinfo.plotname = 'bot2'

        #  Create upper & lower band 3
        self.l.top3 = self.ama * (1 + self.p.perc3 / 100)
        top2 = bt.LinePlotterIndicator(self.l.top3, name='top3', color='red', subplot=False)
        top2.plotinfo.plotname = 'top3'

        self.l.bot3 = self.ama * (1 - self.p.perc3 / 100)
        bot2 = bt.LinePlotterIndicator(self.l.bot3, name='bot3', color='red', subplot=False)
        bot2.plotinfo.plotname = 'bot3'

        #  Create upper & lower band 4
        self.l.top4 = self.ama * (1 + self.p.perc4 / 100)
        top2 = bt.LinePlotterIndicator(self.l.top4, name='top4', color='orange', subplot=False)
        top2.plotinfo.plotname = 'top4'

        self.l.bot4 = self.ama * (1 - self.p.perc4 / 100)
        bot2 = bt.LinePlotterIndicator(self.l.bot4, name='bot4', color='orange', subplot=False)
        bot2.plotinfo.plotname = 'bot4'

@run-out

        if pos == 0:
            if close < mean:
                self.buy(price=buy1, size=1, exectype=bt.Order.Limit)
                self.log('Close below mean buying step 1... %.2f' % close)
        if close >= sell1 and pos > 0:
            self.close()
            self.log('Closing long... %.2f' % close)

When I removed "self.long =" I managed to get some sells executed running this code, looks like I'm getting some more possible solutions.
Trying them now..

Oh my bad, I'm not expecting any more buy orders to happen. I think I managed to solve it now and I understand what I'm doing wrong.
Thank you @ab_trader and @run-out ! I'll keep at it

@OmegaUI-Trading
Wow been looking for something like this! thanks for sharing.

I'd love to be apart of the discord group as well!

@run-out
So I did not get the full picture of what you are trying to explain.

This is what I got so far:

self.t1 = close + datetime.timedelta(hours=4)

Current close + 4hours stored in a variable

Stop-loss:

        if pos == step4:  # 4
            if close <= buy4:
                self.stoploss = self.sell(price=stop, size=-pos, exectype=bt.Order.Stop)
                self.log('Close below buy step 4.. creating stoploss @ %.2f' % stop)
                print(pos)
                if close >= sell1:
                    self.cancel(self.stoploss)
                    self.log('Current price reached sell 1 cancelling stop... %.2f' % close)
                    print(pos)

Where do I place my "timer" variable so that if the stoploss executes the algorithm initiates the variable and stops the algorithm for x hours ?

@run-out Thank you!

I was looking around on how to implement a timer so that every time I get stopped out I want to stop the strategy for x hours and start it up again once x hours has passed.
What is a simple way to implement this?

Let's say I have something like this:

if not self.position:
    if buy_signal1:
         self.buy()

if self.position:
    if sell_signal1:
          self.sell()
    if stop_signal:
          self.sell()
          if stop_signal:
                [insert timer code here?]

Thank you! I'm using it myself now, slightly better than the one I had before

That did not take either.. hmm well if I use static sizes that could work temporarily if only just to see if I can manage to finish my trade logic today.

@ab_trader
On another note:

        if pos == 0:
            if close < mean:
                self.long = self.buy(price=buy1, size=1, exectype=bt.Order.Limit)
                self.log('Close below mean buying step 1... %.2f' % close)

        if pos > 0:
            if close > mean:
                self.short = self.sell(price=sell1, size=-1, exectype=bt.Order.Limit)
                self.log('Closing long... %.2f' % close)

This works.

        if pos == 0:
            if close < mean:
                self.long = self.buy(price=buy1, size=1, exectype=bt.Order.Limit)
                self.log('Close below mean buying step 1... %.2f' % close)

            if pos > 0:
                if close > mean:
                    self.short = self.sell(price=sell1, size=-1, exectype=bt.Order.Limit)
                    self.log('Closing long... %.2f' % close)

This does not.
So I can't indent and the extra conditions won't matter since it won't work indented so I'm trying:

        orders = self.broker.get_orders_open()
        orders = list(orders)

Then I'll do if orders == 1 and pos < size2 etc..

@ab_trader
I'm trying to get this " not self.long / self.short " condition to execute as I need a third condition in my strategy in order for it to work properly. But When I run this:

        if pos == 0:
            if close < mean:
                self.long = self.buy(price=buy1, size=1, exectype=bt.Order.Limit)
                self.log('Close below mean buying step 1... %.2f' % close)
                if not self.long and pos > 0:
                    self.sell(price=sell1, size=-pos, exectype=bt.Order.Limit)
                    self.log('Buy order 1 hit creating sell order... %.2f' % close)

Or

        if pos == 0:
            if close < mean:
                self.long = self.buy(price=buy1, size=1, exectype=bt.Order.Limit)
                self.log('Close below mean buying step 1... %.2f' % close)

            if pos > 0 and not self.long:
                if close > mean:
                    self.short = self.sell(price=sell1, size=-1, exectype=bt.Order.Limit)
                    self.log('Closing long... %.2f' % close)

It only executes the buy but it does not recognize the "not self.long" condition here is the output: (same for both)

019-12-15, Close 7023.99, Mean 7045.62, Buy1 7033.64, Sell1 7057.60, Buy2 7014.62, Sell2 7076.62, Stop 6978.05
2019-12-15, Close below mean buying step 1... 7023.99
--------------------------------  NOTIFY ORDER  --------------------------------
AutoOrderedDict() Order Completed
2019-12-15, Status 4: Ref: 1, Size: 1, Price: 7033.64111
Created: 2019-12-15 00:30:00 Price: 7033.641114933333 Size: 1
--------------------------------------------------------------------------------
2019-12-15, Close 7014.82, Mean 7043.32, Buy1 7031.35, Sell1 7055.29, Buy2 7012.33, Sell2 7074.31, Stop 6978.05
2019-12-15, Close 7021.39, Mean 7041.74, Buy1 7029.77, Sell1 7053.71, Buy2 7010.75, Sell2 7072.72, Stop 6978.05
2019-12-15, Close 7016.95, Mean 7039.94, Buy1 7027.97, Sell1 7051.90, Buy2 7008.96, Sell2 7070.91, Stop 6978.05
2019-12-15, Close 7020.44, Mean 7038.95, Buy1 7026.98, Sell1 7050.91, Buy2 7007.98, Sell2 7069.92, Stop 6978.05
2019-12-15, Close 7021.28, Mean 7037.46, Buy1 7025.49, Sell1 7049.42, Buy2 7006.49, Sell2 7068.42, Stop 6978.05
2019-12-15, Close 7037.76, Mean 7037.47, Buy1 7025.50, Sell1 7049.43, Buy2 7006.50, Sell2 7068.43, Stop 6978.05
2019-12-15, Close 7037.51, Mean 7037.47, Buy1 7025.50, Sell1 7049.43, Buy2 7006.50, Sell2 7068.43, Stop 6978.05
2019-12-15, Close 7035.25, Mean 7037.42, Buy1 7025.46, Sell1 7049.39, Buy2 7006.46, Sell2 7068.39, Stop 6978.05
2019-12-15, Close 7038.30, Mean 7037.44, Buy1 7025.47, Sell1 7049.40, Buy2 7006.47, Sell2 7068.40, Stop 6978.05
2019-12-15, Close 7038.36, Mean 7037.44, Buy1 7025.48, Sell1 7049.41, Buy2 7006.48, Sell2 7068.41, Stop 6978.05
2019-12-15, Close 7030.42, Mean 7037.20, Buy1 7025.23, Sell1 7049.16, Buy2 7006.23, Sell2 7068.16, Stop 6978.05
2019-12-15, Close 7027.24, Mean 7036.78, Buy1 7024.81, Sell1 7048.74, Buy2 7005.81, Sell2 7067.74, Stop 6978.05
2019-12-15, Close 7032.76, Mean 7036.66, Buy1 7024.70, Sell1 7048.62, Buy2 7005.70, Sell2 7067.62, Stop 6978.05
2019-12-15, Close 7040.45, Mean 7036.69, Buy1 7024.73, Sell1 7048.66, Buy2 7005.73, Sell2 7067.66, Stop 6978.05
2019-12-15, Close 7047.92, Mean 7036.74, Buy1 7024.78, Sell1 7048.71, Buy2 7005.78, Sell2 7067.70, Stop 6978.05
2019-12-15, Close 7044.39, Mean 7036.78, Buy1 7024.82, Sell1 7048.75, Buy2 7005.82, Sell2 7067.75, Stop 6978.05
2019-12-15, Close 7043.37, Mean 7036.82, Buy1 7024.85, Sell1 7048.78, Buy2 7005.85, Sell2 7067.78, Stop 6978.05
2019-12-15, Close 7047.54, Mean 7036.89, Buy1 7024.93, Sell1 7048.85, Buy2 7005.93, Sell2 7067.85, Stop 6978.05
2019-12-15, Close 7044.09, Mean 7036.92, Buy1 7024.96, Sell1 7048.89, Buy2 7005.96, Sell2 7067.89, Stop 6978.05
2019-12-15, Close 7038.41, Mean 7036.93, Buy1 7024.97, Sell1 7048.90, Buy2 7005.97, Sell2 7067.90, Stop 6978.05
2019-12-15, Close 7042.26, Mean 7036.98, Buy1 7025.01, Sell1 7048.94, Buy2 7006.02, Sell2 7067.94, Stop 6978.05
2019-12-15, Close 7039.05, Mean 7036.99, Buy1 7025.03, Sell1 7048.95, Buy2 7006.03, Sell2 7067.95, Stop 6978.05
2019-12-15, Close 7042.52, Mean 7037.02, Buy1 7025.05, Sell1 7048.98, Buy2 7006.05, Sell2 7067.98, Stop 6978.05
2019-12-15, Close 7037.30, Mean 7037.02, Buy1 7025.06, Sell1 7048.98, Buy2 7006.06, Sell2 7067.98, Stop 6978.05
2019-12-15, Close 7034.75, Mean 7037.01, Buy1 7025.04, Sell1 7048.97, Buy2 7006.04, Sell2 7067.97, Stop 6978.05
2019-12-15, Close 7036.46, Mean 7037.00, Buy1 7025.04, Sell1 7048.97, Buy2 7006.04, Sell2 7067.97, Stop 6978.05
2019-12-15, Close 7037.07, Mean 7037.01, Buy1 7025.04, Sell1 7048.97, Buy2 7006.04, Sell2 7067.97, Stop 6978.05
2019-12-15, Close 7042.83, Mean 7037.09, Buy1 7025.12, Sell1 7049.05, Buy2 7006.12, Sell2 7068.05, Stop 6978.05
2019-12-15, Close 7046.28, Mean 7037.26, Buy1 7025.29, Sell1 7049.22, Buy2 7006.29, Sell2 7068.22, Stop 6978.05
2019-12-15, Close 7041.87, Mean 7037.35, Buy1 7025.39, Sell1 7049.32, Buy2 7006.39, Sell2 7068.32, Stop 6978.05
2019-12-15, Close 7043.00, Mean 7037.59, Buy1 7025.62, Sell1 7049.55, Buy2 7006.62, Sell2 7068.55, Stop 6978.05
2019-12-15, Close 7044.89, Mean 7037.84, Buy1 7025.87, Sell1 7049.80, Buy2 7006.87, Sell2 7068.80, Stop 6978.05
2019-12-15, Close 7048.59, Mean 7038.39, Buy1 7026.43, Sell1 7050.36, Buy2 7007.42, Sell2 7069.36, Stop 6978.05
2019-12-15, Close 7052.48, Mean 7039.13, Buy1 7027.16, Sell1 7051.10, Buy2 7008.16, Sell2 7070.10, Stop 6978.05

At the end closing price reaches sell1 so it should execute but it won't even create a sell order. So I'm wondering what I'm doing wrong?

Oh my bad, I'm not expecting any more buy orders to happen. I think I managed to solve it now and I understand what I'm doing wrong.
Thank you @ab_trader and @run-out ! I'll keep at it