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Monitoring ​

During a live trading session you may want to monitor certain variables or the state of your strategy in real-time. You can do this by using the monitoring function of Super Algorithm. Let's look at a simple example to monitor the current state of our strategy.

1. Import the required methods ​

Add an import for monitor from the logging module

python
from superalgorithm.utils.logging import set_chart_schema, chart, monitor

Add a class variable that will hold our state which can be IDLE or OPEN.

2. Configure the state variable ​

python
class SMAStrategy(BaseStrategy):

    def init(self):
        self.state = "IDLE"
        ...

3. Updating and monitoring the state ​

Modify the trade_logic function to set the state when we open or close the position. On each iteration call the monitor function.

python
    async def trade_logic(self):

        ...

        if buy:
            await self.open("BTC/USDT", PositionType.LONG, 0.1, OrderType.LIMIT, close)
            chart("long", close)
            self.state = "OPEN"

        if sell:
            await self.close("BTC/USDT", PositionType.LONG, 0.1, OrderType.LIMIT, close)
            chart("short", close)
            self.state = "IDLE"

        monitor("state", self.state)

4. Viewing the monitored variables ​

When you run your backtest only the last state will be visible. During live trading all monitored variables will update on the dashboard or the session details page in real-time.

Monitoring State