Log: results/adaptive_logs/run_2026-06-25T222853.log
[22:28:53] Adaptive MLP — COINBASE_BTCUSD — 1 TFs
[22:28:53] Config: 3 seeds/round, max 10 rounds, convergence=3 rounds, threshold=0.02
[22:28:53] Starting Calmar per TF:
[22:28:53]   8H: Calmar=0.8344  next_seed=5245 (bull seeds already trained: 33)
[22:28:53] 
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[22:28:53] Round 1/10 — 1 active TFs: 8H
[22:28:53] ════════════════════════════════════════════════════════════
[22:28:53] Training: 1 TFs × 3 seeds = 3 jobs [8H=all]
[22:29:56]   ✅ 8H: 3/3 trained  (seed5245, seed5346, seed5447) [62s+57s+58s]
[22:29:56] Sweeping: 1 TFs in parallel (16 workers each) ...
[22:31:46]   ✅ sweep 8H: 110s
[22:31:46] Improvement check:
[22:31:46]   — 8H: 0.8344 → 0.8344 (+0.0000)  no_improve=1/3 [phase=all]
[22:31:46] 
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[22:31:46] Round 2/10 — 1 active TFs: 8H
[22:31:46] ════════════════════════════════════════════════════════════
[22:31:46] Training: 1 TFs × 3 seeds = 3 jobs [8H=all]
[22:32:48]   ✅ 8H: 3/3 trained  (seed5548, seed5649, seed5750) [61s+58s+58s]
[22:32:48] Sweeping: 1 TFs in parallel (16 workers each) ...
[22:34:41]   ✅ sweep 8H: 112s
[22:34:41] Improvement check:
[22:34:41]   — 8H: 0.8344 → 0.8344 (+0.0000)  no_improve=2/3 [phase=all]
[22:34:41] 
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[22:34:41] Round 3/10 — 1 active TFs: 8H
[22:34:41] ════════════════════════════════════════════════════════════
[22:34:41] Training: 1 TFs × 3 seeds = 3 jobs [8H=all]
[22:35:44]   ✅ 8H: 3/3 trained  (seed5851, seed5952, seed6053) [58s+58s+63s]
[22:35:44] Sweeping: 1 TFs in parallel (16 workers each) ...
[22:37:39]   ✅ sweep 8H: 114s
[22:37:39] Improvement check:
[22:37:39]   ⚠️ 8H: 0.8344 → 0.8344 (+0.0000)  no_improve=3/3 [phase=all]
[22:37:39]   🔄 8H: plateau in all-regime → switching to bull (existing bull seeds: 33, next: seed4343)
[22:37:39] 
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[22:37:39] Round 4/10 — 1 active TFs: 8H
[22:37:39] ════════════════════════════════════════════════════════════
[22:37:39] Training: 1 TFs × 3 seeds = 3 jobs [8H=bull]
[22:38:43]   ✅ 8H: 3/3 trained  (seed4343, seed4444, seed4545) [64s+64s+64s]
[22:38:43] Sweeping: 1 TFs in parallel (16 workers each) ...