fundlab/taxplan.py categorizes the 16-fund shortlist, the 22 N-PORT
cross-checked candidates, and all 250 screened candidates by the
expected CHARACTER of their distributions, given the user's premise
that the current LTCG rate < the post-retirement ordinary rate:
qualified div + LTCG -> TAXABLE (score >= 0.60)
tax-exempt (munis) -> TAXABLE
ordinary / STCG / REIT -> IRA (score <= 0.35)
in between -> MIXED (pull the 1099-DIV)
cash -> FLEXIBLE
score = estimated share of distributions that are tax-favorable,
from three tiers of ground truth: N-PORT keyword buckets (16), SEC
assetCat/issuerCat buckets (22), sleeve loadings (250), with a
sleeve fallback when the keyword parser left >50% of a book
unclassified, and a manual override for the Leuthold wrappers
(91.7% Leuthold Core ETF, no return history yet).
Key findings:
- shortlist: TAXABLE = ATESX, JLPSX, LAMHX, LCORX, LCRIX (equity);
IRA = ATRFX, COSIX, CVSIX, PMORX, SVARX, EAGMX/EGRSX;
MIXED = MBXIX, QSPNX, PMAIX/PMFKX (same fund, two classes)
- cross-checked: 4 munis -> TAXABLE; HMEZX + MERVX are the merger-
arb trap - equity-looking books whose distributions are mostly
SHORT-TERM gains -> IRA
- candidates: 109 munis TAXABLE, 127 IRA, 6 equity TAXABLE, 7 MIXED
App: Fund Lab "Tax location" expander. Output:
fundlab/taxplan_results.json. Tests: test_taxplan() (9 checks).
97/32 suites green.
