Redeployment of Live Trading - resets Net Profit

Yes, you can retain the runtime statistics such as 'Net Profit' by using the SetRuntimeStatistic method in your algorithm. This method allows you to set a runtime statistic for the algorithm which can be a string or a number.

Here is how you can do it in Python:

self.SetRuntimeStatistic('Net Profit', value)

Replace value with the calculated net profit.

Please note that if you stop and redeploy a live algorithm, the runtime statistics are reset.

For more details, you can refer to the QuantConnect Documentation.

Thanks again Mia Alissi . You're awesome! 

Mia Alissi My apologies, where should i put that code in again? under def Initialize(self)? 

I tried to re-deploy though, but it still shows “0”

The SetRuntimeStatistic method can be used in any part of your algorithm where you calculate the net profit and want to set it as a runtime statistic. It doesn't necessarily have to be in the Initialize method.

However, please note that the SetRuntimeStatistic method only sets the value of the statistic at the moment it is called. If you want to continuously update the net profit statistic, you should call this method each time the net profit changes, for example, after a trade.

Here is an example of how you might use it:

def OnTrade(self, trade):
    if trade.Status is TradeStatus.Closed:
        self.SetRuntimeStatistic('Net Profit', self.Portfolio.TotalProfit)

In this example, the 'Net Profit' statistic is updated each time a trade is closed.

If it still shows "0", it might be because the value you are setting is actually zero, or the method is not being called. Make sure the code section with SetRuntimeStatistic is actually being executed.

I've redeployed it and it still shows “0”. 

I've added both under onTrade; when it checks if i'm invested or not. It still shows “0”

def OnData(self,data):
        if self.IsWarmingUp: return
        self.SetRuntimeStatistic("Net Profit", self.Portfolio.TotalProfit)
        if data.ContainsKey(self.yieldCurveTwo):
            rates = data[self.yieldCurveTwo]
            self.r = ((rates.TwoYear) / 100)
            self.Log(f"| {self.Time} Rates found - {self.r}")
        option_invested = [x.Key for x in self.Portfolio if x.Value.Invested and x.Value.Type==SecurityType.Option]
        if option_invested:
            self.SetRuntimeStatistic('Net Profit', self.Portfolio.TotalProfit)
            for i in range(len(option_invested)):

                if (self.Time + timedelta(self.Maximum_Expiry) > option_invested[i].ID.Date):
                    self.Liquidate(option_invested[i], "Too close to expiration")
                    self.Log (f"| {self.Time}   [+]---  Liquidate @ {str(self.Portfolio[option_invested[i]].Symbol.Value)} || Stock @ {str(self.Portfolio[self.equity].Price)}|| Profit/Loss @ {str(self.Portfolio[option_invested[i]].LastTradeProfit)}")
                    self.Log (f"| {self.Time}   [-]--- REASON: ||  <{(self.Maximum_Expiry)} DTE  | {(option_invested[i].ID.Date - self.Time).days} DTE")
                    
                if not self.LastTime == self.Time.day:
                    if len(option_invested)> ((self.number_options)-1):
                        self.Log("Currently Holding 2 Contracts - MAXIMUM") 
                        return
                    else: 
                        self.Log("only holding one contract")
                        for i in data.OptionChains:
                            chains = i.Value
                            self.BuyCall(chains)
          

        if not option_invested:
            self.SetRuntimeStatistic("Net Profit", self.Portfolio.TotalProfit)
            self.Log("No Options invested")
            for i in data.OptionChains:
                chains = i.Value
                self.BuyCall(chains)

Your code seems correct in terms of setting the 'Net Profit' runtime statistic. The SetRuntimeStatistic method is being called in the right places. However, if it's still showing "0", it might be because the self.Portfolio.TotalProfit is actually zero at the times when SetRuntimeStatistic is being called.

Remember that self.Portfolio.TotalProfit gives the total profit of your portfolio at the moment it is called. If no trades have been made or if the net profit from trades is zero, then self.Portfolio.TotalProfit will be zero.

If you expect self.Portfolio.TotalProfit to be non-zero and it's still showing "0", you might want to add some logging to your algorithm to check the values of self.Portfolio.TotalProfit at the times when you are calling SetRuntimeStatistic. For example:

self.Debug(f"Total Profit: {self.Portfolio.TotalProfit}")

This will print the total profit to the console, which can help you debug why it's showing "0".

It doesnt get the information from my ibkr account? I assume it will since the algo is being fed with the information. 

QuantConnect does indeed connect to your Interactive Brokers (IBKR) account for live trading and can access real-time data from your account. However, the self.Portfolio.TotalProfit in your algorithm refers to the total profit made by the trades executed by the algorithm itself, not the total profit of your entire IBKR account.

If you want to access account-specific information from your IBKR account, you might need to use the brokerage-specific functionalities provided by the LEAN engine. However, the specifics of how to do this are not provided in the information extracts given.

For more details, you can refer to the QuantConnect Documentation.

Thats unfortunate. Redeploying is required every weekend in regards to 2FA, does that mean that the runtime statistics will keep resetting everytime? There is no way we can keep track of the Net Profit of our algo trading? Is there a way for a workaround on this? Jared Broad Mia Alissi .

Whats the purpose of this being algo/automatic trading if i can even monitor my profit and loss of my trades. Very disappointing. 

The IBGateway connection restarts every week - but it doesn't shut down the algorithm. However, restarts happen and you have to plan for them. 

The best way to track total profit long term is “ending - starting equity” balances. Assuming you started with $12,345 you could do: self.Portfolio.TotalPortfolioValue - 12345 

Thanks Jared Broad ! That will work, appreciate your reply