It all depends on if you can define what a breakout is to you, so that you can put it into algorithmic form and backtest it. What you want is to determine if your breakout trading method will stand a chance of being positive expectancy when it comes to live trading.
Don't know how to define your method? Don't know how to backtest? Don't want to learn how to backtest? Then you are stuck trying to get a big enough sample size N from live trading in order to perform the positive expectancy calculation. Of course your PnL curve will the first indication of success or failure.
I suspect that however you define your breakout, when it works, and when it doesn't work are likely randomly distributed in time, and will never lead you to positive expectancy. That's why you need to backtest first, and not risk your hard earned cash on live trading in the hope that it might work.