Nunchi눈치

A quiet reading of the market, before the bell.

파이프라인 runs

매일 make pipelines의 실행 로그. status·시간·카운트·실패 시 에러 메시지. 최근 100건 (100건까지 ?limit=N).

status pipeline 시작 소요 news analysesanalyses각 뉴스에 LLM이 매긴 분류 + 영향 받을 종목들(2차 효과 포함). idea의 재료. 자세히 → ideasideasnunchi가 짚어낸 종목 후보. thesis(주목할 이유) · catalysts(근거) · risks(반대 시나리오)가 묶음으로 옴. 추천이 아니라 noticing. 자세히 →
success daily_kr KR 17m 83 42 4
running daily_kr KR
success cache_macro KR 8s
success daily_us US 9m 77 42 3
success factor_compute KR 11m 800
success daily_kr KR 6m 281 37 3
success factor_compute KR 4m 300
success lgb_score KR 0s
success factor_compute KR 14m 950
success cache_macro KR 8s
success daily_kr KR 8m 72 36 4
success daily_us US 8m 112 36 3
success factor_compute KR 5m 350
success daily_kr KR 8m 76 36 2
success daily_us US 6m 94 36 3
success factor_compute KR 4m 350
success daily_kr KR 7m 76 36 3
success daily_us US 7m 65 36 3
success factor_compute KR 5m 350
success daily_kr KR 9m 74 36 4
success daily_us US 3m 10 10 4
success factor_compute KR 4m 350
success daily_kr KR 9m 68 36 3
success daily_us US 8m 87 36 4
success factor_compute KR 4m 350
success daily_kr KR 10m 69 36 3
success daily_us US 7m 101 36 3
success factor_compute KR 4m 350
success lgb_score KR 0s
success lgb_train KR 51s
success lgb_train KR 51s
success lgb_score KR 0s
success lgb_train KR 47s
success lgb_train KR 45s
success lgb_score KR 0s
success lgb_train KR 48s
success lgb_train KR 48s
success lgb_score KR 0s
success lgb_train KR 46s
success lgb_train KR 44s
success lgb_score KR 0s
success lgb_train KR 40s
success lgb_train KR 40s
success lgb_train KR 34s
success lgb_train KR 35s
success cache_macro KR 9s
success compute_factor_ic KR 2m 65091
success lgb_train KR 2m
success lgb_train KR 2m
success lgb_train KR 52s
success lgb_score KR 0s
success lgb_train KR 50s
success lgb_train KR 58s
success lgb_train KR 50s
success lgb_train KR 24s
success lgb_train KR 40s
success lgb_train KR 17s
success lgb_train KR 22s
success lgb_train KR 44s
success lgb_train KR 20s
success lgb_score KR 0s
success lgb_train KR 33s
success lgb_train KR 33s
success lgb_train KR 23s
success lgb_score KR 0s
failed lgb_score KR 0s
pandas dtypes must be int, float or bool.
Fields with bad pandas dtypes: pbr: object
success lgb_train KR 16s
success lgb_train KR 13s
success daily_kr KR 9m 75 36 4
success compute_factor_ic KR 0s
success compute_factor_ic KR 0s
success factor_compute KR 5m 350
success compute_factor_ic KR 0s
success compute_factor_ic KR 0s
success compute_factor_ic KR 0s
success compute_factor_ic KR 3s 2170
success daily_us US 6m 112 36 2
success factor_compute KR 3m 270
success daily_kr KR 6m 71 36 2
success daily_us US 5m 64 27
success factor_compute KR 3m 270
success daily_kr KR 5m 77 24 4
success daily_us US 5m 121 24 4
success factor_compute KR 3m 270
success factor_compute KR 4m 270
success daily_kr KR 5m 74 24 4
success daily_us US 5m 76 24 4
success factor_compute KR 3m 270
success daily_kr KR 5m 75 24 4
success daily_us US 3m 7 7 2
success factor_compute KR 3m 270
success daily_kr KR 4m 67 24 2
success daily_us US 4m 92 24 3
success factor_compute KR 3m 270
success daily_kr KR 4m 69 24 3
success daily_us US 4m 105 24 3
success factor_compute KR 3m 270
success factor_compute KR 4m 270
success factor_compute KR 1m 100
success factor_compute KR 4m 270