This is not an easy task that you're trying to achieve.
While I cannot provide an answer, I can suggest some reading material that may help you understand
Kristoufek's research gives an interesting approach to separate the different investment horizons described in the FMH...
Quanstart blog is an awesome resource, I've used it as a blue print for more than 1 component.
Prof. Balch's class is also a great resource. It is meant for people with some programming background that want to get into finance. But it also works for someone with a trading background who wants...
if he loses $50 easily scalping 100 shares on a very liquid name like GE or INTC...
why add any more risk?
Initially they're expected to lose the $50 but to manage them so that it takes 100+ trades to get there... that gets them more risk...
I know of some shops that start them on subdollar...
They usually control how much you're allowed to risk on a per day basis instead of controlling the buying power margin. This usually works with some kind of formula to allocate daily risk + some override if you lay down risk capital.
A newbie would be usually given $50 or even less per day as...
the tick on the SPY is smaller, but it is constantly moving up and down by little bits when the ES is sitting at single price level. Depending on your trading style this may be a good or not.
Consider that Pandas has a lot of C++ optimizations under the hood, it is not a coincidence that pandas is one of the strongest tools when it comes to data analysis... (along with the likes of R & SPARK)
It allows you to easily manipulate large amounts of data, and perform all sorts of...