Setting cash order size

Sang

Hi guys,

I want to set the order size of every order to be 100 USD
How can I do that?

For example, I have the code as follow, which buy at open price when openinterest of last candle is 1 and sell at open price when openinterest of last candle is 2

import backtrader as bt
from datetime import datetime
 

class testStrat(bt.Strategy):
 
 
    def __init__(self):
      self.openinterest = self.datas[0].openinterest

    def next(self):
      if not self.position:
          if self.openinterest[0] == 2:
              self.sell()
          if self.openinterest[0] == 1:
              self.buy()
      else:
          if self.position.size > 0:
            if self.openinterest[0] == 2:
              self.close()
              self.sell()
            elif self.openinterest[0] == 1:
              self.buy()
          else:
            if self.openinterest[0] == 1:
              self.close()
              self.buy()
            elif self.openinterest[0] == 2:
              self.sell()

# Create an instance of cerebro
cerebro = bt.Cerebro()
 
# Add our strategy
cerebro.addstrategy(testStrat)

# Add the Data Feed to Cerebro
data = bt.feeds.PandasData(dataname=newdf)
cerebro.adddata(data)

#Variable for our starting cash
startcash = 1000
# Set our desired cash start
cerebro.broker.setcash(startcash)

# 0.1% ... divide by 100 to remove the %
cerebro.broker.setcommission(commission=0.001)

# Add a sizer
cerebro.addsizer(bt.sizers.PercentSizer,percents = 1)

# use the fractional scheme if requested
cerebro.broker.addcommissioninfo(CommInfoFractional())


# Run over everything
cerebro.run()
 
#Get final portfolio Value
portvalue = cerebro.broker.getvalue()
pnl = portvalue - startcash
 
#Print out the final result
print('Final Portfolio Value: ${}'.format(round(portvalue,2)))
print('P/L: ${}'.format(round(pnl,2)))

ab_trader

Docs - Target Orders, order_target_value

Sang

@ab_trader said in Setting cash order size:

Docs - Target Orders, order_target_value

Hi Sir,
Thank you very much for your reply
I have read the docs and I really didn't understand clearly
So in my case I will need to use order_target_value(target = 100)?
How I can apply to this?

    def next(self):
      if not self.position:
          if self.openinterest[0] == 2:
              self.sell()
          if self.openinterest[0] == 1:
              self.buy()
      else:
          if self.position.size > 0:
            if self.openinterest[0] == 2:
              self.close()
              self.sell()
            elif self.openinterest[0] == 1:
              self.buy()
          else:
            if self.openinterest[0] == 1:
              self.close()
              self.buy()
            elif self.openinterest[0] == 2:
              self.sell()

ab_trader

Try this (not tested)

    def next(self):
        if self.openinterest[0] == 2:
            self.order_target_value(target = -100)
        if self.openinterest[0] == 1:
            self.order_target_value(target = 100)

But with all my respect, you may want to apply more efforts to understand docs and programming by yourself, if you want to get to success faster. This was probably easiest task from what you can expect on algotrading road.