python runner.py amonra_submission007.py --gauge-fix

Processing submission: amonra_submission007.py
Mode: full walk-forward + gauge-fix

Loaded predictor class: AmonRaPredictor
Walk-forward full: 77 periods, gauge_fix=True
Validation: min(800, 20%) per period
NOTE: These are validation-set statistics. Test-set results will differ.

[001] 547 val rows, Sharpe=+0.0535, 0.5s
[002] 696 val rows, Sharpe=-0.0153, 0.3s
[003] 800 val rows, Sharpe=+0.0028, 0.5s
[004] 800 val rows, Sharpe=+0.0997, 0.4s
[005] 800 val rows, Sharpe=-0.0867, 0.6s
[006] 800 val rows, Sharpe=-0.0056, 0.6s
[007] 800 val rows, Sharpe=-0.0834, 0.7s
[008] 800 val rows, Sharpe=+0.0333, 0.8s
[009] 800 val rows, Sharpe=+0.0324, 0.7s
[010] 800 val rows, Sharpe=+0.0047, 0.7s
[011] 800 val rows, Sharpe=-0.0456, 0.8s
[012] 800 val rows, Sharpe=-0.0513, 0.8s
[013] 800 val rows, Sharpe=-0.0328, 0.8s
[014] 800 val rows, Sharpe=+0.0000, 1.0s
[015] 800 val rows, Sharpe=-0.0837, 2.3s
[016] 800 val rows, Sharpe=+0.0996, 0.9s
[017] 800 val rows, Sharpe=-0.0748, 0.9s
[018] 800 val rows, Sharpe=+0.0318, 1.0s
[019] 800 val rows, Sharpe=-0.0767, 1.0s
[020] 800 val rows, Sharpe=-0.0631, 1.1s
[021] 800 val rows, Sharpe=-0.0826, 1.3s
[022] 800 val rows, Sharpe=-0.0971, 1.2s
[023] 800 val rows, Sharpe=-0.0114, 1.3s
[024] 800 val rows, Sharpe=-0.0001, 1.1s
[025] 800 val rows, Sharpe=-0.0357, 1.2s
[026] 800 val rows, Sharpe=+0.0106, 1.4s
[027] 800 val rows, Sharpe=+0.0234, 1.4s
[028] 800 val rows, Sharpe=-0.0341, 1.5s
[029] 800 val rows, Sharpe=-0.0065, 1.4s
[030] 800 val rows, Sharpe=-0.0758, 1.6s
[031] 800 val rows, Sharpe=+0.0154, 1.4s
[032] 800 val rows, Sharpe=+0.0042, 1.5s
[033] 800 val rows, Sharpe=+0.0279, 1.6s
[034] 800 val rows, Sharpe=+0.0205, 1.5s
[035] 800 val rows, Sharpe=-0.0724, 1.9s
[036] 800 val rows, Sharpe=-0.0068, 1.8s
[037] 800 val rows, Sharpe=+0.0290, 1.6s
[038] 800 val rows, Sharpe=-0.0796, 1.7s
[039] 800 val rows, Sharpe=-0.0245, 1.7s
[040] 800 val rows, Sharpe=-0.0645, 1.8s
[041] 800 val rows, Sharpe=-0.0117, 1.8s
[042] 800 val rows, Sharpe=-0.0210, 1.9s
[043] 800 val rows, Sharpe=+0.0297, 1.9s
[044] 800 val rows, Sharpe=-0.0129, 2.0s
[045] 800 val rows, Sharpe=+0.0209, 2.0s
[046] 800 val rows, Sharpe=+0.0077, 1.9s
[047] 800 val rows, Sharpe=-0.0133, 2.0s
[048] 800 val rows, Sharpe=-0.0366, 2.1s
[049] 800 val rows, Sharpe=+0.0386, 2.2s
[050] 800 val rows, Sharpe=-0.0271, 2.2s
[051] 800 val rows, Sharpe=+0.0090, 2.2s
[052] 800 val rows, Sharpe=+0.0090, 2.3s
[053] 800 val rows, Sharpe=-0.0741, 2.3s
[054] 800 val rows, Sharpe=+0.0266, 2.3s
[055] 800 val rows, Sharpe=-0.0309, 2.5s
[056] 800 val rows, Sharpe=-0.0398, 2.3s
[057] 800 val rows, Sharpe=-0.0452, 2.3s
[058] 800 val rows, Sharpe=-0.0550, 2.4s
[059] 800 val rows, Sharpe=+0.0293, 2.5s
[060] 800 val rows, Sharpe=+0.0568, 2.5s
[061] 800 val rows, Sharpe=-0.0340, 2.5s
[062] 800 val rows, Sharpe=+0.0240, 2.5s
[063] 800 val rows, Sharpe=-0.0188, 2.5s
[064] 800 val rows, Sharpe=-0.0025, 2.6s
[065] 800 val rows, Sharpe=+0.0120, 2.7s
[066] 800 val rows, Sharpe=+0.0480, 2.7s
[067] 800 val rows, Sharpe=-0.0079, 3.2s
[068] 800 val rows, Sharpe=+0.0544, 3.2s
[069] 800 val rows, Sharpe=-0.0391, 2.8s
[070] 800 val rows, Sharpe=-0.0397, 3.0s
[071] 800 val rows, Sharpe=+0.0187, 3.2s
[072] 800 val rows, Sharpe=-0.0635, 3.1s
[073] 800 val rows, Sharpe=-0.0220, 3.3s
[074] 800 val rows, Sharpe=-0.0619, 3.4s
[075] 800 val rows, Sharpe=+0.0409, 3.4s
[076] 800 val rows, Sharpe=-0.0224, 3.8s
[077] 800 val rows, Sharpe=+0.0211, 3.7s

Overall Sharpe: -0.0098
Periods: 77, Observations: 61243
IC: -0.0039 (std=0.2681)
IC-dispersion corr: -0.0001
Concentration: 0.0275
Compression loss: 0.1387
City novelty: nan deg (nearest: N/A)
Global novelty: computed after submission

NOTE: These are validation-set statistics. Test-set results will differ.

Results written to results.csv