@ab_trader Hi, I'm working with coc, and read this thread. Is it not possible to have the order notification with cheat on close to allign with the order executation date?

I am currently resampling data, and then using that in a simple moving average indicato. The output then is a second chart with the resampled data and moving average, however I would like to have the moving average (based on weekly data) to be plotted on the main layout, is this possible?
Code:
"""
class MovingAverage(bt.Strategy):

params = (
		('ema5', 5),
		('ema20', 8),
		('ema50', 50),
		('ema_200', 200),
		('printlog', True),
		('atr_mult', 2.0),
		('rsi_period', 30),
		('atr_period', 14),
		)


def log(self, txt, dt=None, doprint=False):
	if self.p.printlog or doprint:
		dt = dt or self.datas[0].datetime.date(0)
		print('%s, %s' % (dt.isoformat(), txt))


def __init__(self):
	
	self.dataclose = self.data.close
	self.ema5 = bt.ind.EMA(self.data1, period=self.p.ema5)
	self.ema20 = bt.ind.EMA(self.data2, period=self.p.ema20)
	self.rsi = bt.ind.RSI_SMA(period=self.p.rsi_period, plot=True)
	self.atr = bt.ind.ATR(period=self.p.atr_period, plot=False)
	self.crossup = bt.ind.CrossUp(self.data0, self.ema5, plot=False)
	
	self.addminperiod(45)
	
	self.order = None

if name=='main':
cash = 10000
position = cash
cerebro = bt.Cerebro(optreturn=True, stdstats=True)

data = bt.feeds.GenericCSVData(
	dataname="litecoin_unix_daily.csv",
	fromdate=datetime.datetime(2017, 1, 1),
    # todate=datetime.datetime(2022, 3, 30),
    timeframe=bt.TimeFrame.Minutes,
    compression=1,
    nullvalue=0.0,
    dtformat=2,
    datetime=0,
    open=1,
    high=2,
    low=3,
    close=4
    )

cerebro.adddata(data, name='data')
cerebro.resampledata(data, timeframe=bt.TimeFrame.Weeks, compression=1)
cerebro.resampledata(data, timeframe=bt.TimeFrame.Months, compression=1)

"""

Hi,
I am looking for a way to close an open trade if it is not profitable after n days, since it is not worth the time and capital to stick to a trade not going anywhere. I've searched but couldn't find anything to help with this, does anyone have any idea?

Re: It's here - a beta you can use RIGHT NOW - Essential trade statistics - all in one place

I am trying to use the analyzer in this thread, and the final comment on how to use this in a module, but I get the following error:
"AttributeError: 'float' object has no attribute 'analyzers".
This looks like a really good analyzer, so I'm hoping that someone can help me.

Hi Everyone,

I am able to see the "Fund Value" when I run my code, and how that changes, but how can I log that, to see how that changes with each day that passes, like closing prices are getting logged? I baiscally want to see the values behind the Fund Value portion of the graph.

@lavenderfish
Hi, not sure if you ever had a resolution for this, but I came accross the same error when I wanted to plot without a strategy. The following resolved this issue for me:
cerebro = bt.Cerebro(stdstats=False)

Found this solution to another problem here:
https://community.backtrader.com/topic/1515/memory-error

@run-out Thank you very much for the reply, appreciate the help. On the bracket order, I tried using the below code, but there seems to be an error, where am I going wrong?
'''
class CustomRsi(bt.Indicator):

lines = ('signal', 'buysig', 'sellsig', )

params = (('period', 15),
	('upperband', 80),
	('lowerband', 33),
	)

def __init__(self):

	self.lines.signal = bt.indicators.RSI_SMA(period=self.p.period)
	self.lines.buysig = bt.ind.CrossUp(self.lines.signal, self.p.lowerband)
	self.lines.sellsig = bt.ind.CrossDown(self.signal, self.p.upperband)

class StopTrading(bt.Strategy):

params = (
	('lowerband', 30),
	('upperband', 70),
	)

def print_signal(self):
	self.log("open {:.2f}\tclose {:.2f} \thigh {:.2f} rsi {:.2f} atr {:.2f}"
		.format(self.data.open[0],
			self.data.close[0],
			self.data.high[0],
			self.rsi[0],
			self.atr[0]
			)
		)

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

def __init__(self):
	self.dataclose = self.data.close
	self.atr = bt.ind.ATR()
	self.rsi = bt.ind.RSI_SMA(period=15)
	self.crsi = CustomRsi() # create instance crsi
	self.buy_signal = self.crsi.buysig # access attributes of instance created
	self.sell_signal = self.crsi.sellsig # access attributes of instance created
	self.order=None


def notify_order(self, order):

	if order.status in [order.Submitted, order.Accepted]:
		return 

	if order.status in [order.Completed]:
		if order.isbuy():
			self.log(f'Buy executed for long position {order.executed.price}')
		elif order.issell():
			self.log(f'Close executed for long position {order.executed.price}')

	self.order = None

def notify_trade(self, trade):
	if trade.isopen:
		return

	else:
		# Trade is closed, log profit / loss, barlen: amount of bars trade was open
		self.log(f'Profit {trade.pnl} Trade Length: {trade.barlen}')
                                                                                                                                                                                             
def next(self):

	self.print_signal()

	if self.order:
		return

	if not self.position:
		if self.buy_signal:
			
			self.order=self.buy_bracket(exectype=bt.Order.StopTrail, trailamount=300)
			self.log('Going long@{:.2f}, stoptrail {:.2f}'.format(self.dataclose[0], bt.Order.StopTrail))

'''

@run-out I have, thanks. I am getting confused between this article and these two, and how to properly use them:
https://www.backtrader.com/blog/posts/2017-03-22-stoptrail/stoptrail/

https://www.backtrader.com/docu/order-creation-execution/bracket/bracket/

Is it necessary to use the stoporder in the notify class or is it actually possible to do it under the next method?

@gerry 

Hi All,
I am trying to code a simple trailing stop loss strategy, but I just cant seem to get the hang of it after reading most of the blog posts on the topic and the docs. Feels like a silly thing to miss but maybe somebody can help. Appreciate the assistance.
'''
class CustomRsi(bt.Indicator):

lines = ('signal', 'buysig', 'sellsig', )

params = (('period', 15),
	('upperband', 80),
	('lowerband', 33),
	)

def __init__(self):

	self.lines.signal = bt.indicators.RSI_SMA(period=self.p.period)
	self.lines.buysig = bt.ind.CrossUp(self.lines.signal, self.p.lowerband)
	self.lines.sellsig = bt.ind.CrossDown(self.signal, self.p.upperband)

class StopTrading(bt.Strategy):

params = (
	('lowerband', 30),
	('upperband', 70),
	)

def print_signal(self):
	self.log("open {:.2f}\tclose {:.2f} \thigh {:.2f} rsi {:.2f} atr {:.2f}"
		.format(self.data.open[0],
			self.data.close[0],
			self.data.high[0],
			self.rsi[0],
			self.atr[0]
			)
		)

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

def __init__(self):
	self.dataclose = self.data.close
	self.atr = bt.ind.ATR()
	self.rsi = bt.ind.RSI_SMA(period=15)
	self.crsi = CustomRsi() # create instance crsi
	self.buy_signal = self.crsi.buysig # access attributes of instance created
	self.sell_signal = self.crsi.sellsig # access attributes of instance created
	self.order=None


def notify_order(self, order):

	if order.status in [order.Submitted, order.Accepted]:
		return 

	if order.status in [order.Completed]:
		if order.isbuy():
			self.log(f'Buy executed for long position {order.executed.price}')
		elif order.issell():
			self.log(f'Close executed for long position {order.executed.price}')

	self.order = None

def notify_trade(self, trade):
	if trade.isopen:
		return

	else:
		# Trade is closed, log profit / loss, barlen: amount of bars trade was open
		self.log(f'Profit {trade.pnl} Trade Length: {trade.barlen}')
                                                                                                                                                                                             
def next(self):

	self.print_signal()

	if self.order:
		return

	if not self.position:
		if self.buy_signal:
			self.log('Going long@{:.2f}'.format(self.dataclose[0]))
			self.order=self.buy()

	elif self.position:
		self.order=self.sell(exectype=bt.Order.StopTrail, trailamount=300)

'''