This list is read back out of the letter itself, so nothing can be named here that your mentor will not receive. A figure this account does not hold is left out along with the ingredient that named it — the letter never fills a gap by guessing.

Every letter states again what kind of teacher you asked for, because the AI you paste it into knows nothing about your practice from one paste to the next. It also says what you do not want from it: no advice about real money, and no prediction of a price.

The figures are read from your own journal and computed here before the letter leaves, so the reasoning starts from what you did rather than from what you remember doing. Where something cannot be measured on the data at hand, the letter says why instead of estimating it.

A stop is the unit of risk a trade was taken with, and R is measured against it. A trade closed without one still has a result but no R, and this product excludes it from every R figure rather than counting it as zero — so the letter can say which part of your series is measurable and which part is not.

A precise question earns a precise answer; ask for everything at once and you get an opinion about everything. Each recipe asks for one narrow thing and says plainly what it does not want commented on, which is what keeps an answer about your own practice.

A lesson recipe asks for one closing line, in exact words, because a reader here has to recognise it: that line is the only part of a reply this program acts on. Everything else your mentor writes is kept exactly as it arrived, for you to read.

This program prepares the letter and reads that one line; the reasoning belongs to the mentor you chose. Nothing here grades a trade: what a letter can earn is a lesson check in your own record, never a verdict on how you traded.