Open pnl should never have anything to do with a trade.
If you think you can pinpoint the probability of future market action with numeric specificity, and to the decimal point at that, then you are mistaken. What you have presented is a frequency distribution of past behavior rather than a probability distribution of upcoming behavior. If-then market relationships are rather more vague and any predictive value is best limited to "balance of probability" rather than assuming numeric specificity. If you haven't yet come to this conclusion, I assure you that you will. "Maybe not today. Maybe not tomorrow. But soon and for the rest of your life."Quote from Barth Vader:
...Example, one market I trade [futures]has the following current probabilities:
1) 89.8% probability that one extreme of the pit session will be made in the "D" print.
2) 98.5% probability that the "E" print will not trade both sides of the "D" print.
3) 7.9% probability that one extreme holding all day will be the "E" print.
4) 96.7% probability that the current pit session will not trade through both ends of the previous pit session extremes.
5) 79% probability that the close of "D" print, relative to the previous days close will be equal or better at the close of the current pit session.
6) 84% probability that one extreme from the overnight will hold as an extreme in the pit session...

Quote from Gabfly1:
If you think you can pinpoint the probability of future market action with numeric specificity, and to the decimal point at that, then you are mistaken. What you have presented is a frequency distribution of past behavior rather than a probability distribution of upcoming behavior. If-then market relationships are rather more vague and any predictive value is best limited to "balance of probability" rather than assuming numeric specificity. If you haven't yet come to this conclusion, I assure you that you will. "Maybe not today. Maybe not tomorrow. But soon and for the rest of your life."![]()
Quote from Gabfly1:
"...What you have presented is a frequency distribution of past behavior rather than a probability distribution of upcoming behavior. ....." [/i]![]()
Actually, my approach is more reactive and timed at what has historically shown me to be low-risk entry points. But I do not kid myself about numeric specificity. As I noted earlier, it is more about general tendency best described as the "balance of probability." I believe this is a more real-world approach to uncertainty than misguided reliance on numeric specificity. Just my opinion, of course, and maybe a reflection of my own limitations. (But I don't think so.)Quote from Barth Vader:
...If your methodology is predictive without using the statistical distribution / historical tendencies of what constitutes a median profile in a given time frame...