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3.7 KiB

Strategy Improvement Leaderboard

Updated: 2026-05-12T20:15:10.358786+00:00

Default view excludes retired legacy PEAD / short-core / exact-pocket families, retired pre-IMP-0606 research, and incomplete train-only scans. Use fithia2 lb --include-retired to inspect retired research.

SQS below is public SQS v9: 3-pillar additive core (RQS 35% + WFQS 40% + Regime Adaptability 25%). Regime score uses scenario-test RRS when available, falls back to OOT quality, then 50.0 neutral. OOT bias toward COVID-era performance removed. CW blend and deployment gates unchanged from v8.

# ID Experiment SQS RCW [Tr]Ret% [V]Ret% [T]Ret% [T]Ann% [T]DD% [T]Gross% [T]DIM% [T]R/G Date
1 1357 return_max_long_v7.364_composed_gld 92.6 - +710.6 +190.6 +275.8 +1954.2 8.8 69.2 80.0 3.99 2026-04-11
2 1348 return_max_long_v7.356_composed_gld_compound 80.0 - +703.7 +189.0 +276.8 +1965.8 8.7 69.0 80.0 4.01 2026-04-11
3 1348 return_max_long_v7.356_composed_gld 77.4 - +419.5 +152.4 +229.3 +1419.2 6.4 65.5 85.5 3.50 2026-04-10
4 1153 return_max_long_v7.120_composed_gld 77.3 - +606.6 +113.3 +112.9 +473.5 7.4 56.9 86.2 1.98 2026-04-08
5 415 return_max_long_v7.70 62.2 43.3 +130.2 +50.6 +57.7 +200.9 2.9 42.7 79.8 1.35 2026-03-28

Recent Entries

IMP-0959 (2026-05-12) — return_max_long_v9.3_v92_er30_xs10

Hypothesis: v9.2 PEAD + ER 30% + xsmom 10% = 3-way hybrid (Pareto-better in compound). Verdict: BETTER (SQS None) Reasoning: Compound 4y: ret=8319%/MDD=8.95%/Sharpe=3.65/SQS=85.9 vs v9.2 ret=8091%/MDD=9.78%/SQS=84.8. 3-split: train 1935%/SQS 86.8, valid 1326%/SQS 87.2, test 151%/SQS 74.1 (OOT softer). Next: Sweep ER allocation 0-20% in fixed_capital mode to recover SQS; validate winners under compound.

IMP-0955 (2026-04-11) — return_max_long_v7.364_composed_gld

Hypothesis: Scale ALL per_trade_risk_pct by 0.615x (0.65→0.40) to reduce DD while maintaining compound growth. Expected: train DD 9.46%→5.8%, test gross_exp 69%→42%. Verdict: NEUTRAL (SQS 92.6, Stress SQS 76.6) Reasoning: DD unchanged at 9.46% on train (DD is scale-invariant — scaling all positions proportionally doesn't change equity curve drawdown %). Test gross_exp still 69.2% (unchanged vs baseline 69.0%). Train gross_exp did drop to 42.7%, showing the scaling effect. Returns essentially identical across all splits (train +710.6% vs 703.7%, valid +190.6% vs 189.0%, test +275.8% vs 276.8%). Hypothesis failed: per_trade_risk_pct scaling alone cannot reduce DD. Next: DD reduction requires structural changes: tighter stops, different max_holding_days, or smaller max_positions_per_sector — not just risk scaling. Alternatively, accept current DD level and focus on boosting test returns.

IMP-0954 (2026-04-11) — return_max_long_v7.356_composed_gld_compound

Hypothesis: Auto-recorded via web GUI Verdict: UNKNOWN (SQS 80.0)

IMP-0951 (2026-04-10) — return_max_long_v7.356_composed_gld

Hypothesis: Auto-recorded via web GUI Verdict: UNKNOWN (SQS 77.4, Stress SQS 78.5)

IMP-0937 (2026-04-08) — return_max_long_v7.120_composed_gld

Hypothesis: Mega-cap material_contract engine ($100B+, 2-12% reaction day) captures AVGO-type strategic partnership events. Engine #9 reaction_max widened 6%->7%. Verdict: BETTER (SQS 77.3, Stress SQS 74.8) Reasoning: New engine fired 4 trades (COST+9%, DIS+11%, MS+6.5%, GOOGL breakeven). All orderly. Internal SQS 88.7, total return 4175% vs 3245% baseline. Mega-cap lane fills $100B+ gap. Next: Compute v9 SQS and compare to 78.6. Promote if positive.