{"slug":"hawkish-vs-dovish-meaning","qid":"fomc_reaction","label":"fomc_reaction","post_title":"hawkish-vs-dovish-meaning","post_url":"/blog/lang/ms/hawkish-vs-dovish-meaning#q-fomc_reaction","columns":["meeting_date","meeting_label","decision_day_pct","next_day_pct"],"rows":[{"meeting_date":"2024-09-18","meeting_label":"18 Sep 2024","decision_day_pct":-0.3,"next_day_pct":1.71},{"meeting_date":"2024-11-07","meeting_label":"7 Nov 2024","decision_day_pct":0.77,"next_day_pct":0.43},{"meeting_date":"2024-12-18","meeting_label":"18 Dis 2024","decision_day_pct":-2.98,"next_day_pct":-0.03},{"meeting_date":"2025-01-29","meeting_label":"29 Jan 2025","decision_day_pct":-0.45,"next_day_pct":0.54},{"meeting_date":"2025-03-19","meeting_label":"19 Mac 2025","decision_day_pct":1.09,"next_day_pct":-0.29},{"meeting_date":"2025-05-07","meeting_label":"7 Mei 2025","decision_day_pct":0.42,"next_day_pct":0.7},{"meeting_date":"2025-06-18","meeting_label":"18 Jun 2025","decision_day_pct":-0.02,"next_day_pct":-0.53},{"meeting_date":"2025-07-30","meeting_label":"30 Jul 2025","decision_day_pct":-0.13,"next_day_pct":-0.38},{"meeting_date":"2025-09-17","meeting_label":"17 Sep 2025","decision_day_pct":-0.12,"next_day_pct":0.47},{"meeting_date":"2025-10-29","meeting_label":"29 Okt 2025","decision_day_pct":0.05,"next_day_pct":-1.1},{"meeting_date":"2025-12-10","meeting_label":"10 Dis 2025","decision_day_pct":0.66,"next_day_pct":0.23},{"meeting_date":"2026-01-28","meeting_label":"28 Jan 2026","decision_day_pct":-0.01,"next_day_pct":-0.2},{"meeting_date":"2026-03-18","meeting_label":"18 Mac 2026","decision_day_pct":-1.4,"next_day_pct":-0.25},{"meeting_date":"2026-04-29","meeting_label":"29 Apr 2026","decision_day_pct":-0.02,"next_day_pct":0.99},{"meeting_date":"2026-06-17","meeting_label":"17 Jun 2026","decision_day_pct":-1.25,"next_day_pct":0.78},{"meeting_date":"2026-07-29","meeting_label":"29 Jul 2026","decision_day_pct":-1.54,"next_day_pct":1.68},{"meeting_date":"2026-09-16","meeting_label":"16 Sep 2026","decision_day_pct":-0.44,"next_day_pct":1.13}],"shape":"series","sql":"SELECT\n    toString(date)                                                     AS meeting_date,\n    concat(toString(toDayOfMonth(date)), ' ',\n           arrayElement(['Jan','Feb','Mac','Apr','Mei','Jun','Jul','Ogos','Sep','Okt','Nov','Dis'], toMonth(date)), ' ',\n           toString(toYear(date)))                                     AS meeting_label,\n    round((close / prev_close - 1) * 100, 2)                           AS decision_day_pct,\n    round((next_close / close - 1) * 100, 2)                           AS next_day_pct\nFROM\n(\n    SELECT\n        date,\n        close,\n        any(close) OVER (ORDER BY date ASC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) AS prev_close,\n        any(close) OVER (ORDER BY date ASC ROWS BETWEEN 1 FOLLOWING AND 1 FOLLOWING) AS next_close\n    FROM\n    (\n        SELECT\n            date,\n            argMax(toFloat64(close), _ingest_time) AS close\n        FROM global_markets.stocks_daily_aggs\n        WHERE ticker = 'SPY'\n          AND date >= '2024-08-01'\n        GROUP BY date\n    )\n)\nWHERE date IN ('2024-09-18','2024-11-07','2024-12-18','2025-01-29','2025-03-19',\n               '2025-05-07','2025-06-18','2025-07-30','2025-09-17','2025-10-29',\n               '2025-12-10','2026-01-28','2026-03-18','2026-04-29','2026-06-17',\n               '2026-07-29','2026-09-16')\n  AND prev_close > 0\n  AND next_close > 0\nORDER BY date ASC","computed_at":"2026-09-23T14:55:16.717642+00:00","elapsed":0.003443683}