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Author SHA1 Message Date
9a845646fd fix(#978): train-only detrend in rate backtest + Almon distributed-lag regression
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REOPENED 951-B §9.6.
PART A: fix look-ahead leakage in backtest_rate_sensitivity --detrend. The
ln(units) trend was fit over train+test then split, so test data shaped the
detrend and inflated the OOS hit-rate. _detrend_log now takes fit_n; backtest_tier
fits the trend on TRAIN months only (same split evaluate_oos uses) and projects
(a,b) point-in-time onto test. Default fit_n=None preserves prior behaviour.

PART B (DoD): new app/services/forecasting/regression.py — Almon polynomial
distributed-lag (deg 2) of Δln(district demand) on Δkey_rate lags 0..6 via
OLS-on-Almon-regressors (numpy lstsq) + per-lag reconstruction + manual
Newey-West HAC SEs (NO statsmodels). Output {best_lag_months, coef=long-run
multiplier, x_pct, r2, n, per_lag_coef, hac_se,...}; gate mirrors _elasticity_coef
(n<30 OR R²<0.1 OR Σβ≥0 → fallback); §9.6 phrase from the lag shape. ADVISORY,
shipped standalone (integration point documented), NOT wired — protects the live
compute_rate_sensitivity consumers.

125+31 tests (synthetic known-lag recovery, HAC computed/differs-from-OLS,
fallback gating, no-leakage detrend). ruff clean. Refs #978
2026-06-04 11:39:32 +05:00
3ecfc2d7dc feat(forecasting): seasonal (month-of-year) demand normalization (#979)
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REOPENED — normalize.py was never created; only rate-regime discount existed.
New backend/app/services/forecasting/normalize.py with normalize_demand(series):
multiplicative month-of-year deseasonalization of the raw monthly demand
SalesSeries (§9.4). Pure/deterministic; min-data guard (<2 full years / empty
month / overall_mean<=0 → factor 1.0, no divide-by-zero, no thin-data noise).
Exposes seasonal factors for explainability. Synthetic unit test: seasonality
removed (month means equalised), flat unchanged, thin/empty/all-zero safe.

DoD (module + doc + test) MET. Production wiring into
rate_sensitivity._align_sales_deltas DEFERRED (documented TODO): deseasonalizing
the short rate-driven series perturbs the recovered β/lag on current data —
needs a points-per-month gate / joint seasonal+rate estimation + backtest before
wiring. Forecast stack is advisory regardless. Refs #979
2026-06-04 11:19:50 +05:00
9ff80f3ac0 fix(forecasting): #980 strongest deficit→deficit_index +1.0; #981 MAI uses CBR key rate
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REOPENED #980: when effective competing supply is exhausted under positive demand
(projected_supply<=0, demand>0), deficit_index now caps to +1.0 (peak of [-1,+1])
instead of None. balance_ratio stays None (demand/0 undefined), but the strongest
build signal no longer reads downstream as thin data (market_fit fell to 0.5,
what_to_build dropped the cell). No-signal (supply<=0 AND demand<=0) stays None.

REOPENED #981: MAI now uses CBR key rate (macro_indicator key_rate/rf via
get_monthly_macro) as the market borrowing-cost proxy (~16-21%) instead of the
subsidized weighted rate (~7.83%), per §7.9 DoD. rate_kind='key_rate_proxy'.
If key_rate absent → rate_kind='market_unavailable' (no silent subsidy fallback).
Income (#946) still missing → payment_to_income None, confidence low.

778 forecasting tests green. Refs #980 #981
2026-06-04 11:10:26 +05:00
fc312fe606 feat(forecasting): §13 report assembler (#988, 955-A2) (#1021)
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2026-06-03 08:51:23 +00:00
47fe5a55eb feat(forecasting): §15 confidence engine v2 (#990, 955-A4) (#1020)
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2026-06-03 08:41:07 +00:00
75c9b34987 feat(forecasting): §13 SiteFinderReport object (#987, 955-A1) (#1019)
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2026-06-03 08:33:01 +00:00
008f9d9ed1 feat(forecasting): §25 six special indices (#986, 954-C) (#1018)
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2026-06-03 08:24:08 +00:00
98dea0315a feat(forecasting): §14.2 product scoring card (#985, 954-B) (#1017)
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2026-06-03 08:11:54 +00:00
8057468c13 feat(forecasting): §11 macro-scenarios (#984, 954-A) (#1016)
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2026-06-03 07:59:22 +00:00
691ccef4b7 feat(forecasting): class/commercial/USP §10.2/10.4/10.5 + §16 (#983, 953-B) (#1015)
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2026-06-03 07:52:24 +00:00
72e9b24f2c feat(recommend): horizon-aware recommend_mix opt-in overlay (#982, 953-A) (#1014)
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2026-06-03 07:40:33 +00:00
489e380f1e feat(forecasting): what-to-build ranker + MAI proxy (#981, 952-B) (#1013)
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2026-06-03 07:07:17 +00:00
70ffa399fc feat(forecasting): demand-supply forecast engine (#980, 952-A) (#1012)
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2026-06-03 06:56:33 +00:00
9758e21cbd feat(forecasting): §9.4 demand-normalization coefficient (#951f, advisory) (#1011)
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2026-06-03 06:28:14 +00:00
69ad6c87fc feat(forecasting): §9.5 macro coefficient (#951e, advisory) (#1010)
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2026-06-03 06:20:04 +00:00
f41e2536d8 feat(forecasting): §9.6 key-rate sensitivity module (#951d, advisory) (#1009)
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2026-06-03 06:06:16 +00:00
c7bfc9e22a feat(forecasting): monthly sales series builder for §9.6 (#951c) (#1008)
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2026-06-03 05:52:33 +00:00
ace3b99508 feat(forecasting): monthly macro series + regime classifier (#951b) (#1007)
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2026-06-03 05:37:43 +00:00