A payoff ratio is not proof

In a simplified model with only wins and losses and no additional costs, break-even win fraction is average loss divided by average win plus average loss. This follows by setting weighted average result to zero. Keep the average loss positive in the formula and label whether your inputs are hypothetical targets or observed results.

A target written before entry is not an achieved average payoff. Changing an exit rule could change the number of winners, their size and the amount of time in each position. You cannot keep every favorable part of an old sample, replace its losses with smaller hypothetical losses and present the difference as money the revised rule would actually have earned.

A small positive sample is a starting point for questions, not proof of a durable edge. There is no universal count of 30, 100 or 200 examples that establishes future performance. Review the sample period, selection process, missing data, costs and changing conditions. Keep revised rules versioned and evaluate later observations separately from the examples used to invent them. More precise arithmetic does not remove uncertainty in the inputs.