Tag: jupyter

  • Gap-up short statistics

    The question I’m trying to answer: using tracking data from my database (containing mostly low-priced, low-float stocks), which combination of factors known at 9:30 am (market open) give the highest winning probability for a short trade between 9:30 am and 12 pm? When I started researching which stocks to trade I noticed short-sellers targeting biotechs. […]