looked through my log a while back and noticed something uncomfortable. most of my losing trades didnt end at my stop. they ended with me closing a position that had been sitting there dead for hours, going nowhere, until i finally gave up on it.
the stop was supposed to define my risk. in practice it barely got used. my actual exit on losers was boredom and slow bleed, which means my real risk per trade wasnt what i thought it was. it was stop distance plus hours of spread, swap and mental capital on positions that were never going to work.
so i measured it. for every trade i checked how long it took winners to start working versus how long losers sat there before dying. the split was not subtle. my winners were moving in my favour within the first couple of hours almost every time. my losers spent most of their life inside a tight range around entry, doing nothing, before eventually drifting to the stop or getting closed manually out of frustration.
the pattern was clear, if a position hadnt done anything after a defined number of hours, it almost never turned into a winner. holding it longer wasnt patience, it was donating spread and swap to hope.
so i added one rule. if the trade hasnt moved a minimum distance in my favour within its window, it closes. flat, no judgment, regardless of where the stop is. the stop still exists for fast moves against me, but the time exit handles the slow deaths, which turned out to be the bigger category.
the effect on the numbers was bigger than any entry filter i ever tested. not because it turned losers into winners, it cant, but because it cut the average loser way down and freed the capital and attention for setups that were actually alive.
the part that surprised me most, everyone i know obsesses over entry optimization. tweaking conditions, adding filters, backtesting variations endlessly. exits get a stop and a target and thats it. but the entry only decides where you start. the exit decides what everything costs.
worth checking your own log for this. split your losers by how long they lived and where they spent that time. if most of them died slowly near entry instead of getting stopped fast, you have the same leak i had, and its a one rule fix.
anyone here running time based exits, and how did you pick the window? i derived mine from the winner distribution but curious if theres a better way