Confused with pnlcomm and pnl
I have just started working with backtrader and tried a simple strategy but I'm getting very weird results.
I'm using the
addwritermethod to save the trade results to a csv file:
cerebro.addwriter(bt.WriterFile, csv=True, out="trade_history.csv")
and I'm also setting the commission to zero.
This is part of the csv results
at the 85th iteration (don't know if it's the right term, correct me please) I buy ~500$ worth of BTC at a price of ~13400$, which means I have ~0.037 BTC which is then sold at ~13760. My calculations are telling me that after selling my cash balance should be more than what I had before entering the trade because the trade is clearly profitable but it is not the case and I'm in a 3$ loss! Could someone please explain what is going on?
I have attached my script
import backtrader as bt import backtrader.feeds as btfeed import numpy as np class custom_csv(btfeed.GenericCSVData): params = ( ('datetime', 0), ('time', -1), ('open', 1), ('high', 2), ('low', 3), ('close', 4), ('volume', 5), ('openinterest', -1), ('timeframe', bt.TimeFrame.Minutes), ('compression', 1), ) from datetime import datetime class ma_strat(bt.Strategy): params = ( ('fast_ma', 12), ('slow_ma', 60), ) def __init__(self): self.dataclose = self.datas.close self.volume = self.datas.volume self.latest_order = None self.first_run = True self.order_size = 0 self.trade_number = 0 self.fast_ma = bt.indicators.SimpleMovingAverage(self.datas, period=self.params.fast_ma) self.slow_ma = bt.indicators.SimpleMovingAverage(self.datas, period=self.params.slow_ma) self.fast_ma.csv = True self.slow_ma.csv = True def notify_order(self, order): if order.isbuy(): order_type = 'Buy' else: order_type = 'Sell' if order.status == order.Completed: self.latest_order = None return elif order.status == order.Canceled: print(order_type + ' order canceled') self.latest_order = None return elif order.status == order.Margin: current_cash_balance = self.broker.get_cash() print(order_type + ' order cancled due to margin Error') print('Current balance: ' + str(current_cash_balance)) # Write down: no pending order self.latest_order = None return elif order.status == order.Rejected: print(order_type + ' order rejected') # Write down: no pending order self.latest_order = None return def notify_trade(self, trade): if trade.isopen: self.trade_number += 1 print('Opening trade #%02d with size %.4f commision %.4f value %.2f price %.2f' % (self.trade_number, trade.size, trade.commission, trade.value, trade.price)) elif trade.isclosed: print('Closing trade #%02d gross %.2f, net %.2f' % (self.trade_number, trade.pnl, trade.pnlcomm)) def next(self): # Check if an order is pending ... if yes, we cannot send a 2nd one if self.latest_order is not None: return if not self.position: if self.fast_ma > self.slow_ma: current_cash_balance = self.broker.get_cash() self.order_size = 0.5 * current_cash_balance / float(self.dataclose) # place the buy order self.latest_order = self.buy(size=self.order_size) else: if self.fast_ma < self.slow_ma: self.latest_order = self.sell(size=self.order_size) if __name__ == '__main__': # Create a cerebro entity cerebro = bt.Cerebro() cerebro.addwriter(bt.WriterFile, csv=True, out="trade_history.csv") csv_data_file = 'bitfinex_btc_price.csv' bitfinex_minut_data = custom_csv(dataname=csv_data_file) # Add the Data Feed to Cerebro unknown = cerebro.adddata(bitfinex_minut_data) cerebro.addstrategy(ma_strat) cerebro.broker.setcash(1000.0) print('Starting Portfolio Value: %.2f USD$' % cerebro.broker.getvalue()) cerebro.run() print('Final Portfolio Value: %.2f USD$' % cerebro.broker.getvalue())
Anyone would probably need some extra info.
You have the data and that's not seen in your post. Seeing the data points (and around) at the buy/sell points could help.
def notify_trade(self, trade):
if trade.isopen: self.trade_number += 1 print('Opening trade #%02d with size %.4f commision %.4f value %.2f price %.2f' % (self.trade_number, trade.size, trade.commission, trade.value, trade.price)) elif trade.isclosed: print('Closing trade #%02d gross %.2f, net %.2f' % (self.trade_number, trade.pnl, trade.pnlcomm))
You also have this logging code, but the output of it (which for sure could help) is also not shown (since you have single orders, it would seem even better to log out during
notify_orderwhen the order is
The output of the writer omits the most important parts:
- datetime timestamp
- prices in the data stream
The only thing the screenshot shows is that the value decreases from the very first moment after your buy operation. Even if you believe that a screenshot may be more helpful than the raw data: it isn't. Put at least the header of the writer output and the lines at (and around) your sell/buy points and the
AliAskari last edited by AliAskari
Thanks for your time @backtrader. I was not sure how to add csv file as there are a lot of columns. I have attached both the entire csv file and also a snapshot from the data around this particular trade.
EDIT: edited to add the link to csv data file: https://www.dropbox.com/s/cpdbzf839kpx5mb/bitfinex_btc_price.csv?dl=0
You also have this logging code, but the output of it (which for sure could help) is also not shown
I modified the script to print more info and also used
notify_orderas suggested. Here is the output:
Starting Portfolio Value: 1000.00 USD$ Open trade #01 with size 0.0367 value 500.5144 price 13621.0000 Close trade #01 with size -0.0367 value 500.5144 price 13569.0000 Open trade #02 with size 0.0366 value 499.0812 price 13631.0000 Close trade #02 with size -0.0366 value 499.0812 price 13548.0000
I just realized that the price mentioned in the log does not match the buy/sell price in the csv file. The info pasted in the screenshot is from
notify_order print log csv open 13621.0000 13400.9250 close 13569.0000 13760.3550
The only thing the screenshot shows is that the value decreases from the very first moment after your buy operation.
I am not sure why you say the price decreases? By looking at the csv and the buy/sell columns it appears to me that the buy price is lower than the sell price.
I am under the impression that those columns reflect the price at which the trade was completed. But apparently it is not the case.
What am I missing here?
It is clear now why you are losing.
Screenshots even if sometimes visually helpful don't really help. The header of the output
csvwith the offending lines (and a couple of the surrounding ones) allow to see what
Sellare. But let me speculate:
They happen to be the output values of the
BuySellObserver, the one plotting green/red triangles to mark your operations on the chart.
Those triangles are plotted above and below your entry point to give you a visual indication of when the operation has happened (if the values were at the price, they would be mostly not visible most of the times, given they would be in between several price bars)
And being above and below, the points you see are the observer points and not the actual operations (which are available to you via the notified orders)
I see. Makes sense. Thanks!
So if I want to capture the real buy/sell prices, along with other metrics, I'm better off writing my own logger and dump the log into a csv file.
You can do it in different ways:
cerebro = bt.Cerebro()) and add your own observers. In this case you add a
barplot=False, which will then use the exact
If you simply want to capture the prices and avoid them being plotted, you can also pass
plot=False(or subclass the observer and set that as a default in
- You can do it intercepting the notifications in
notify_orderand add them to any structure you like
There would be other ways, but I would call them dirty (the fact is that you can do anything in Python, but it is usually better to play by the rules of the library/framework/pattern you are using)
Thanks for your time, it's now working as expected.