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Author SHA1 Message Date
dc14a541b0 research: separate S&P 400 sleeve family vs IJH (all REJECT)
After S&P 400 names failed inside the large-cap momentum top 10, test them
as their own sleeve: top 30, monthly, buffer 1, 20 bp, judged by alpha vs
IJH and by whether 1/3 of the book in the sleeve beats 1/3 in IJH. Four
hypotheses and a control, definitions and rule written before the run.

Holdout 2017-01..2026-09: mid-cap momentum -1.0%/yr vs IJH (corr 0.83 with
the large-cap book), lottery-excluded momentum -1.7%, SUE earnings momentum
-1.7%, quality-screened momentum +3.5% (t 1.28), quality composite +3.4%
(t 1.23; book 0.91 vs 0.85 with IJH). Quality is positive in both halves
but underpowered; nothing is adopted.

fetch_us_fundamentals gains --universe mid: EDGAR facts for S&P 400
ever-members, CIKs accepted only when an SEC name matches the iShares
holding name. fundamentals.load_mid builds the same factors on that panel.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-08 09:55:12 -07:00
2c19e5efe5 feat: US 3-sleeve portfolio and lowrisk_top20; US portfolio research harness
Register two live strategies from the 2026-09-29 US research:
- lowrisk_top20: idiosyncratic vol + low beta, top 20, monthly, buffer 2
  (new `low_risk` signal in strategies/robust_momentum.py)
- us_three_sleeve: 1/3 each of overnight_recovery_top10, lowrisk_top20 and
  trend_rider_v7_vt24 in one account (strategies/sleeve_portfolio.py, a
  mixed stock+ETF strategy). Sleeve shares drift with their returns and reset
  at a month start once any is >25% off its share.

Research (research/lab, S&P 500 PIT, next-open fills):
- rotation.py / persistence.py: walk-forward factor weighting (factor
  momentum, rolling IC, market state) and last-year's-winner selection do not
  beat a fixed composite
- us_sweep.py: holdings count, z/vol weights, dynamic N, tranching and market
  overlays (Faber SMA, de-risk vol target, statistical jump model,
  momentum state); engine.py gains zvol weighting and dyn_n
- fetch_us_fundamentals.py / fundamentals.py / fund_eval.py: SEC EDGAR
  point-in-time fundamentals (first-filed values) and factor tests
- trend_rider_long.py / us_final.py: 2010-2026 TrendRider curves and the
  3-sleeve check (2011-2026 Sharpe 1.21, CAGR 21.9%, MaxDD -23%)

Web-UI engine, 2017-09..2026-09, $2/order: us_three_sleeve CAGR 28.9%,
Sharpe 1.49, MaxDD -24.8%.

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
2026-09-29 01:03:50 +08:00