Review history with uncertainty preserved.
The virtual review curve starts at 1,000 index units and applies a flat illustrative unit size of 50 only to historical records where the Orchestrator confidence score is above 75. This is a context visualization, not a performance claim, outcome promise, or financial instruction.
0 eligible historical high-confidence reviews.
Past review outcomes are shown for transparency, not as certainty, prediction accuracy, return expectation, or financial advice. Misses and not-scored records remain visible.
Public ledger rows
Awaiting result status
Positive, negative, or void rows
Verification rows
Resolved positive rows
Resolved negative rows
Ledger Runtime Policy
Python owns probabilities, lambda estimates, goals-market calibration, Value Edge eligibility, and claim policy. Agents consume the runtime as evidence context only.
Value Edge: Unavailable unless model probability and reference price both exist.
Totals / BTTS: Totals and BTTS stay inferred unless independently backed by fixture or market evidence.
Agent consumption: Agents consume Python-owned quant context only; they do not promote model-derived goals density into certainty.
Python quant / agent debate handoff
Transparency Ledger
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