Quick few questions. Assuming I have a psychological preference for accuracy, would somebody help me out to establish a baseline for decision making here. I have a "early exit" strategy where 75% of the times that I exit early, it hits my target anyways. I have tried to think of the trade individually, but am coming up with several different solutions. I am trying to establish a baseline for r/r so that I can take the "early exit" only if it makes sense in terms of the tradeoffs. It seems like the expectancy equation should be used here but im not positive. Assuming 1% for stop loss and profit targets in terms of % as well, what i have thought of is... (75%)(TARGET1%-EARLY EXIT%-StopLoss%) - (25%)(Early Exit%-StopLoss%) >=0. Solving for Target 1, it should be 1.33(Stop Loss%+Early Exit%) which can be simplified to 1.33(1%+Early Exit%). This is bare minimum positive expectancy. But if I have a preference for accuracy I should probably demand 1.5(1%+Early Exit%). My question is, am i analyzing my data correctly? I have other similar stats and am changing a few things around to get some better expectancy so want to be sure im incorporating changes correctly into my system. Thank you.