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zhaoli 06fb1e8ee9 book: fold Q-campaign (exp 33-43) evidence into ledger, claims, and chapters
- EVIDENCE#022-032: Q01-Q11 runs (2 PASS / 9 FAIL) with run_ids and branches
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Chapter 08 — Portfolio Construction: Dropout, Sizing, and Cadence

Status: drafting. Claim inventory: see README.md ch. 08.

This chapter asks how a given signal should be turned into a book. The answer the TradeAC campaign converged on is that construction is the performance lever — more than features, more than seeds — and the best construction found on the clean lake is weekly recompute of a daily signal.

The construction space tested

All runs share the compact stochastic signal, 5-seed ensemble, 5d label, $1M / SPY benchmark / 5bp·15bp·$5 costs. Only the construction varies:

Construction Run Net ann Net IR MaxDD Gross ann Note
Topk10 n_drop1, daily (reference) exp 26 +2.13% +0.21 −7.69% +7.02% baseline
Topk20, daily Q03 (exp 35) −1.88% −0.253 −8.80% +0.64% wider, no edge
Fractional-Kelly (cap 0.5) Q06 (exp 38) +1.04% +0.112 −7.13% +5.43% sizing, below bar
Weekly recompute Q07 (exp 39) +12.51% +1.243 −4.13% +13.59% wins chapter
Long-short top10/bottom10, daily Q09 (exp 41) −8.38% −0.834 −11.22% +6.57% $96.7k cost

PROVEN — EVIDENCE#024/027/028/030 → exp 35/38/39/41.

Weekly recompute: the campaign's best result

The reference strategy recomputes the topk book daily from the same 5-day-label predictions. Q07 kept the signal, topk, n_drop, and risk_degree identical and changed only the rebalance cadence to weekly (ISO-week, recompute topk from the freshest score each week). Result:

  • net +12.51% (IR 1.24) vs +2.13% (IR 0.21) daily;
  • maxDD −4.13% vs −7.69%;
  • cost drag collapsed to ~1.1pp (gross +13.59% → net +12.51%), versus the ~5–9pp drags that dominated every daily construction;
  • signal metrics byte-identical to exp 26 (IC 0.0502, RankIC 0.0660).

PROVEN — EVIDENCE#028 → exp 39. The prediction is a 5-day-ahead cross-sectional rank; holding it weekly instead of churning it daily lets the edge survive the 20bp round-trip. This is the strongest single construction result in the book — TODO(evidence-needed: reproduce on a second window, then take to a live round).

What failed, and why

  • Wider book (Q03): topk 10→20 halves per-name size and cuts book vol (std 0.0048 vs 0.0065) but adds no edge net of cost (−1.88%). Spreading the same signal thinner does not create value.
  • Fractional Kelly (Q06): sizing by score magnitude at half-Kelly (cap_frac 0.5) turned the negative daily book mildly positive (+1.04%, IR 0.11) and trimmed maxDD to −7.13% — but it is a weak paste-over of the turnover problem, not a fix, and lands far below the 0.21 acceptance bar.
  • Long-short (Q09): the top10/bottom10 market-neutral construction has a genuine pre-cost edge (gross +6.57%, IR 0.656) — the signal does rank longs over shorts — but daily long-short turnover is prohibitive: total cost $96,721 ≈ 9.7% of a $1M book, 2485 trades in ~150 days, fill rate 0.40, net −8.38%. PROVEN — EVIDENCE#030 → exp 41. The same weekly cadence that fixed Q07 was deliberately not applied here; the pair is a controlled comparison of cadence on the same signal family.

Pre-clean-lake context: stochastic-control OptimalStopControl constructions (exp 13/14) bled ~11pp to cost — the same turnover mechanism, different strategy class. Those are idea material only. HYPOTHESIS (idea: pre-clean-lake) — EVIDENCE#006/007.

Desk rules distilled from this chapter

  1. Construction is a first-class lever: identical signal, +10pp of net annual difference between daily and weekly recompute (exp 26 vs 39).
  2. Before changing the signal, ask whether turnover is the binding constraint — weekly cadence buys more than most feature additions.
  3. Market-neutral structures are only worth the cost if the long-short spread clears two-sided turnover; on this panel it does not.
  4. TODO(evidence-needed: weekly + long-short combination — the pre-cost edge of Q09 may clear costs at weekly cadence)

Evidence cited in this chapter

Tag Source
EVIDENCE#028 exp 39 (Q07), run eb38588c…, branch exp/39-q07-weekly-rebalance-recompute-topkdropo
EVIDENCE#024 exp 35 (Q03), run 2a844c02…, branch exp/35-q03-topk20-widen-topkdropout-portfolio-f
EVIDENCE#027 exp 38 (Q06), run afca4b80…, branch exp/38-q06-kelly-sizing-score-magnitude-fractio
EVIDENCE#030 exp 41 (Q09), run 0647eadd…, branch exp/41-q09-long-short-market-neutral-long-top-1
reference exp 26, run 21afc6af…, branch exp/26-test-whether-reducing-topkdropout-daily
pre-clean idea exp 13/14, EVIDENCE#006/007