Product identity + widen books for DISPLAY, model input byte-identical

IDENTITY (CLAUDE.md top + MASTER-PLAN header). VYNDR is a PREDICTIVE MODEL:
it projects what a player will DO and picks accurately. Market edge is a
BYPRODUCT of a good prediction, never the success criterion. Success =
the forecast is honest about its own confidence AND still ranks --
calibration and resolution, both. No edge/CLV term belongs in a pass/fail
gate; they are diagnostics we report, not thresholds a model must clear.
A model tuned to beat a closing line has been fitted to the market instead
of to the game.

Per-sport doctrine (Phillips 2022, classify by what players DO not by
position): each sport is its own model -- own variables, archetypes,
conditions, calibration, honest ceiling. Shared across sports: ONLY the
Bayesian inference math.

Truth Law: no fabricated data; honest-absent over invented; label
limitations in-band; provisional stays provisional until re-run;
documented is not verified.

PHASE 2 -- AGGREGATOR WIDENING (live). normalizeProps now emits every
DISPLAY book instead of 5 of 18. Before this we discarded 13 books of our
own accord and 64.8% of the MLB slate was invisible to users. Every prop
carries book_role (both/takeable/reference/dfs/offshore) so the display
layer can say WHAT a price is -- a fixed-payout DFS number and a two-way
sportsbook price are not interchangeable objects. Unknown books are still
dropped.

PHASE 3 -- MODEL GATE (the model does not move). bookRoles splits
MODEL_BOOKS (the legacy allow-list, character for character) from
DISPLAY_BOOKS. Both model paths re-filter before they pick a line:
gradeSlateService.dedupeProps (before first-row-wins AND before the limit)
and intradayRefreshService.indexOddsProps (which RE-GRADES at the current
line -- without the gate, widening would have silently moved locked lines
onto books the model has never been calibrated against). A test asserts
the graded set is byte-identical through the widening.

CURRENT_RULER_VERSION stays v1_first_book. The gate lifts only when the
MLB calibration is re-run on the consensus ruler and v2 is promoted.

HONEST FRAMING, recorded in the plan: this is an AGGREGATOR win and it
does NOT fix the model. WNBA still abstains -- a model problem, not a
coverage problem; it is better covered than MLB. MLB isotonic still
provisional. The consensus is MARKET, not SHARP: pinnacle, matchbook and
polymarket are 0% on both sports, so no sharp anchor exists in our feed.

Two superseded tests updated to stronger properties rather than deleted:
roleOf now names the KIND of book, and the normalizer test asserts the
display set widens WHILE the model set does not.

Gates: 4,027 tests / 322 suites green; next build exit 0.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01QJs13VsyiSKYQP6rj3NNmc
This commit is contained in:
Kev
2026-08-01 00:50:54 -04:00
parent 1372e6bcf7
commit f0543b57a4
9 changed files with 278 additions and 18 deletions
+8
View File
@@ -36,6 +36,8 @@ const STEAM_NOISE = 0.5; // ignore movement below this (both directions)
const REGRADE_TRIGGER = 1.0; // moved-against threshold that triggers a re-grade
const SNAP_TTL = 24 * 3600; // keep in sync with snapshotService
const TICKER_MOVE_CAP = 6;
const { isModelBook } = require('../config/bookRoles');
const HISTORY_CAP = 24; // {t, line} points per grade (S6 sparklines)
const GRADE_RANK = { 'A+': 0, A: 1, 'A-': 2, 'B+': 3, B: 4, 'B-': 5, 'C+': 6, C: 7, 'C-': 8, D: 9, F: 10 };
@@ -43,10 +45,16 @@ const rank = (g) => (g && GRADE_RANK[g] !== undefined ? GRADE_RANK[g] : 99);
const sideOver = (dir) => String(dir || 'over').toLowerCase() !== 'under';
// ORDER ZERO GATE — same reasoning as gradeSlateService.dedupeProps. This index
// feeds line-movement detection and RE-GRADES props at the current line, so it
// is a MODEL path: it must see only MODEL_BOOKS. Without this gate the widened
// display feed would silently move locked lines onto DFS/exchange numbers the
// model has never been calibrated against.
function indexOddsProps(props) {
const map = {};
for (const p of props || []) {
if (!p || !p.player || !p.stat_type) continue;
if (!isModelBook(p.book)) continue;
const k = `${nameKey(p.player)}|${String(p.stat_type).toLowerCase()}`;
if (!map[k]) map[k] = p;
}