A trading engine built from the primary sources of W. D. Gann and Dr. Jerome Baumring — where every order replays to a page.
Oppollo is not an indicator stack. It is a chain of custody. Nothing votes that cannot be traced, and nothing trades that cannot be graded.
Every substantive page of the corpus was read — no sampling. Every extracted procedure carries its locator. And every method's voting power is a function of how close its code sits to the page.
Baumring bound his sources into the seminar volumes themselves. The library on disk carries the whole lineage — and each school votes as its own lens, graded on its own record.
“Only when there are 3 bodies together is there an interaction of an effect. One alone is not enough.” — the notes, p. 107
The engine climbs a ladder — RESEARCH → SHADOW → PAPER → LIVE — and each rung is earned per method on graded, out-of-sample claims. Not a switch a human flips on a good day.
Eighty-one rules mined verbatim from the primary sources were run forward across ninety-eight years and twenty-two instruments and graded against a chance model built for each claim type. They emitted 1,478,199 claims. None beat its own null. The whole record is published — every method, every fold, every book, and the five errors found in the measuring instrument itself.
The system this one replaced reported 100% accuracy. Re-graded honestly, its record was 1 for 27 — and eight more of its claims could not fail at all, so they counted for nothing. We publish that number because an engine that grades itself gently is worthless. The methods were never wrong. They were never tested. Now they are.
A claim's tolerance is declared before the outcome. Duplicates collapse. A pass whose probability by pure chance exceeds one-half is discarded as non-evidence. No number is quoted without its sample size. Below n = 20, we say so in the same sentence.