feat(skyhook): SKH01-V2-DD — asymmetric %-exits cut standalone DD <30% (2-wave agent research)
Second agent wave (skyhook-improve-v2, 14 DD-reduction families, each adversarially verified by 2 skeptics) beats the prior winner on the only unmet goal (DD<30%). Winner = ASYM_LS -> promoted to engine as SKH01_V2_DD: same signal (ptn_n=45, vola[35,95], vol_lo=0, exit-bars 24/16) but exits switched from ATR to FIXED-PCT ASYMMETRIC — long sl4%/tp10%, short sl2%(tighter)/tp8%. The tight short %-SL caps the per-trade loss that forms the maxDD in vol spikes. Verified (sk.study, independent re-run): standalone maxDD BTC 21.4% / ETH 27.4% (<30%), minFull +0.99, minHold +1.26, causality 0/400 both assets, fee-surviving to 0.40%RT, marginal vs TP01 ADDS (corr 0.09, in-sample edge, robust_oos, multicut, clean-year +0.57), blend 0.75*TP01+0.25*SKH uplift_hold +0.87; blend 50/50 full 1.84/hold 1.59/DD 10.7%. Plateau (not knife-edge); both skeptics holds_up=high, killer=null. Engine: per-direction short exit overrides (exit_mode_short/sl_*_short/tp_*_short), backward-compatible (None -> symmetric, V1/intermediate-winner unchanged). +3 tests (8/8 pass). Lessons: DD is cut by changing the exit MECHANISM (%-SL, L/S asymmetry, ensembles), NOT by entry-only kill-switch / vol-target / cadence. PATTERN_CONF killed as overfit (knife-edge). PCTL_DD unverified (rate-limit) and ENS_PARAM/TPSL_DD recency/hedge-loaded -> forward-monitor. NOT yet wired to live sleeves: re-verify blend@0.25 + causality on execution code before deploy. Includes both waves' research scripts (runs/SKH_* wave 1, runs/SKH2_* wave 2). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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"""SKH_P_REGIME_plateau — tight plateau probe around the sweep winner
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vola_lo=20, vola_hi=88, vol_lo=55, vol_hi=80 (V1 base: ptn_n=55, sl_atr=2.5, tp_atr=6.0).
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Confirm neighbors in ALL 4 band dims are also good (no knife-edge).
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"""
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from __future__ import annotations
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import sys
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sys.path.insert(0, "/opt/docker/PythagorasGoal/scripts/research/skyhook")
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import skyhooklib as sk
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from src.strategies.skyhook import SkyhookParams
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ASSETS = ("BTC", "ETH")
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BASE = dict(ptn_n=55, sl_atr=2.5, tp_atr=6.0)
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WIN = dict(vola_lo=20, vola_hi=88, vol_lo=55, vol_hi=80)
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def ev(**bands):
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p = SkyhookParams(**{**BASE, **bands})
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res = {a: sk.run_asset(a, p, sk.FEE_RT) for a in ASSETS}
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mf = min(res[a]["full"]["sharpe"] for a in ASSETS)
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mh = min(res[a]["holdout"]["sharpe"] for a in ASSETS)
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tr = min(res[a]["full"]["n_trades"] for a in ASSETS)
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dd = max(res[a]["full"]["maxdd"] for a in ASSETS)
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return mf, mh, tr, dd
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def probe(dim, values):
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print(f"\n-- perturb {dim} (others at winner) --")
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for v in values:
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bands = dict(WIN); bands[dim] = v
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mf, mh, tr, dd = ev(**bands)
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mark = " <-- WIN" if v == WIN[dim] else ""
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print(f" {dim}={v:>4}: minF={mf:+.2f} minH={mh:+.2f} tr={tr:>3} DD={dd*100:.0f}%{mark}")
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def main():
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mf, mh, tr, dd = ev(**WIN)
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print(f"WINNER {WIN}: minF={mf:+.2f} minH={mh:+.2f} tr={tr} DD={dd*100:.0f}%")
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probe("vola_lo", [15, 20, 25, 30])
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probe("vola_hi", [83, 85, 88, 90, 92])
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probe("vol_lo", [45, 50, 55, 60, 65])
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probe("vol_hi", [75, 78, 80, 82, 85])
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if __name__ == "__main__":
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main()
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