While @
jharmon is absolutely correct, there is another way to put it.
Think of it this way - when you tested your strategy, you set precise rules. Let's assume those rules gave you edge and positive expectancy. If looking at what happens in the middle between entry and exit wasn't in your original test - then it doesn't matter. The moment you think you can make a decision based on
anything else other than what you used when you tested - this is a new strategy. If you tested manually over 100 charts - then you need to go and run this new rule over those 100 charts and see what happens to this
new system.
Think of any variation in rules creates a new system. It can be better, it can be worse. That is why you would hear someone saying - I tested million of strategies. They might have tested a single strategy from a discretionary point of view (let's say a MR on daily bars), but a million of variations in parameters values. 3 parameters with 100 values give you 1 mil outcomes.
When trading a system, sometimes we will see an extreme case. Where all our experience will be telling us - get out now. Or add. Or wait extra day etc. Whatever it is. And it might be something. In this case the best thing to do is to construct a simple test that simulate that exact situation, run it over a large data set to have enough samples, and see if doing what you think is right actually has a positive expectancy.
Val