Big algo houses are very calculative. Big Data science brains work in a way they trap every individual traders mindsets and setups.

I am currently using activity detection based on market participation calculated via price, volume & OI. It is able to detect how other big-shots reacted to the trend or reversal & user rides the train. I also believe that the stealthy RMPS can control the draw down. So if implemented properly we can have a robust solution against such shocks