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SmartMoney-Cub preview

SmartMoney-Cub

A financial decision harness compares deterministic rules with optional Jev typed judgments over fixed evidence cases.

Added to Jevfast

How it uses Jev

Track-specific typed answers become a structured decision. Deterministic Python validates temporal boundaries and required output fields, then evaluator compares the proposed decision with the supplied outcome.

What Jev decides

Illustrative source-defined Jev questionExample answers · not a recorded Jev response · Source ↗
Question 1 · evidence sufficiency
YOUR APP
INSTRUCTION

Assess whether the evidence is sufficient to justify the trade action.

STATE

The repository-owned `case_tr_dev_01` fixture state contains case_id `case_tr_dev_01`, symbol `TR.DE01`, decision_time `2026-09-15T09:30:00Z`, available_at at the same time, one earlier data source marked stale, loss_amount 300.0, return_pct -14.0, and synthetic execution notes.

JEV · CHOICE
  1. sufficient
  2. partial
  3. insufficient
  4. contradictory

App workflow

  1. Load evidence case

    Read a fixed financial case with source and timing metadata.

  2. Evaluate

    Run deterministic rules and, when configured, ask the Jev backend typed judgments.

  3. Check outcome

    Validate required fields and evaluate the proposed decision against the recorded outcome.

Why it is interesting

It pairs probabilistic semantic judgments with deterministic financial constraints and a frozen, auditable evaluation set.