Light1YT
a5e887ae32
Deterministic composite demand multiplier (centered 1.0, clamped [0.6,1.3]), corrects a forecast for the macro regime, directional by market segment. Heuristic named-constant weights over 4 backed sub-factors (rate / mortgage rate / issuance / overdue) with weight renormalization over available inputs (degraded gov/income/cpi/confidence drop out of num AND denom, not silently 0). Segment-steepness modifier on rate-driven channels (expensive/large/investment steeper-negative on rate↑; family/compact/liquid steeper-positive on rate↓). Graceful empty -> 1.0/low. Pure, no LLM, no new SQL (reuses PR2 get_monthly_macro). ADVISORY: not wired into any endpoint. 50 unit tests (forecasting/ total 191). PR6/wiring follow-ups: gate lone-survivor renorm leverage under low confidence; reconsider asymmetric favored-segment steepness (resilient on rate↑). |
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| models | ||
| observability | ||
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| __init__.py | ||
| main.py | ||