catalyst-calendar
建立涵蓋範圍內的催化劑行事曆,含財報、產業與總經事件
中文翻譯
--- name: catalyst-calendar description: 建立並維護涵蓋範圍內所有公司的催化劑(catalyst)行事曆:財報日期、研討會、產品發表、監管決定和總體經濟事件。幫助排定關注的優先順序,並在事件之前先布局。觸發詞包含「catalyst calendar」、「upcoming events」、「what's coming up」、「earnings calendar」、「event calendar」或「catalyst tracker」。 --- # 催化劑行事曆 ## 工作流程 ### 步驟 1:定義涵蓋範圍 - 要追蹤的公司清單(股票代號或名稱) - 產業 / 行業聚焦 - 要不要納入總經事件?(Fed 會議、經濟數據、監管截止日) - 時間範圍(未來 2 週、1 個月、1 季) ### 步驟 2:蒐集催化劑 針對每家公司,找出即將發生的事件: **財報與財務事件** - 季度財報的日期和時間(盤前/盤後) - 年度股東會 - 投資人日 / 分析師日 - 資本市場日 - 債務到期 / 再融資日期 **公司事件** - 產品發表或公告 - FDA 核准 / 監管決定 - 合約續約或到期 - 併購里程碑(交割日、監管核准) - 管理層異動 - 內部人交易窗口(禁售期到期) **產業事件** - 重大研討會(日期、哪些公司會報告) - 貿易展與展覽 - 監管意見徵詢期或裁決 - 產業數據發布(月銷售、流量等) **總經事件** - Fed 會議(FOMC 日期) - 就業報告、CPI、GDP 發布 - 央行決議(ECB、BOJ 等) - 對市場有影響的地緣政治事件 ### 步驟 3:行事曆檢視 | 日期 | 事件 | 公司/產業 | 類型 | 影響(H/M/L) | 我們的部位 | 備註 | |------|-------|---------------|------|-----------------|----------------|-------| | | | | Earnings/Corp/Industry/Macro | | Long/Short/Neutral | | ### 步驟 4:每週預覽 每週產出一份前瞻性的摘要: **本週重點事件:** 1. [星期幾]:[公司] Q[X] 財報:市場共識 [$X EPS],我們的預估 [$X],關注重點:[指標] 2. [星期幾]:[事件]:為什麼對 [股票] 重要 3. [星期幾]:[總經數據發布]:預期與部位 **下週預覽:** - 提早預告即將到來的重要事件 **對部位的影響:** - 可能讓特定部位波動的事件 - 建議的事前布局 - 二元事件之前的風險管理 ### 步驟 5:輸出 - Excel 活頁簿,附行事曆檢視和可排序的欄位 - 每週預覽的 email/筆記(markdown) - 選用:整合 Google Calendar ## 重要注意事項 - 財報日期會變動:接近日期時,要對照公司的 IR 頁面和 Bloomberg/FactSet 再確認 - 預先公告風險:追蹤有預先公告(pre-announce)歷史的公司(不論好消息或壞消息) - 研討會的出席名單很有價值:哪些公司會報告?哪些公司明顯缺席? - 有些催化劑是週期性的(每月的產業數據),建一個範本並自動填入 - 依影響程度用顏色標示:紅色 = 高影響、黃色 = 中等、綠色 = 例行 - 把過去的催化劑連同實際結果一起封存,隨著時間累積,能建立模式辨識能力
英文原文
--- name: catalyst-calendar description: Build and maintain a calendar of upcoming catalysts across a coverage universe — earnings dates, conferences, product launches, regulatory decisions, and macro events. Helps prioritize attention and position ahead of events. Triggers on "catalyst calendar", "upcoming events", "what's coming up", "earnings calendar", "event calendar", or "catalyst tracker". --- # Catalyst Calendar ## Workflow ### Step 1: Define Coverage Universe - List of companies to track (tickers or names) - Sector / industry focus - Include macro events? (Fed meetings, economic data, regulatory deadlines) - Time horizon (next 2 weeks, month, quarter) ### Step 2: Gather Catalysts For each company, identify upcoming events: **Earnings & Financial Events** - Quarterly earnings date and time (pre/post market) - Annual shareholder meeting - Investor day / analyst day - Capital markets day - Debt maturity / refinancing dates **Corporate Events** - Product launches or announcements - FDA approvals / regulatory decisions - Contract renewals or expirations - M&A milestones (close dates, regulatory approvals) - Management transitions - Insider trading windows (lockup expirations) **Industry Events** - Major conferences (dates, which companies presenting) - Trade shows and expos - Regulatory comment periods or rulings - Industry data releases (monthly sales, traffic, etc.) **Macro Events** - Fed meetings (FOMC dates) - Jobs report, CPI, GDP releases - Central bank decisions (ECB, BOJ, etc.) - Geopolitical events with market impact ### Step 3: Calendar View | Date | Event | Company/Sector | Type | Impact (H/M/L) | Our Positioning | Notes | |------|-------|---------------|------|-----------------|----------------|-------| | | | | Earnings/Corp/Industry/Macro | | Long/Short/Neutral | | ### Step 4: Weekly Preview Each week, generate a forward-looking summary: **This Week's Key Events:** 1. [Day]: [Company] Q[X] earnings — consensus [$X EPS], our estimate [$X], key focus: [metric] 2. [Day]: [Event] — why it matters for [stocks] 3. [Day]: [Macro release] — expectations and positioning **Next Week Preview:** - Early heads-up on important events coming **Position Implications:** - Events that could move specific positions - Any pre-positioning recommended - Risk management ahead of binary events ### Step 5: Output - Excel workbook with calendar view and sortable columns - Weekly preview email/note (markdown) - Optional: integration with Google Calendar ## Important Notes - Earnings dates shift — verify against company IR pages and Bloomberg/FactSet closer to the date - Pre-announce risk: track companies with a history of pre-announcing (positive or negative) - Conference attendance lists are valuable — which companies are presenting and which are conspicuously absent? - Some catalysts are recurring (monthly industry data) — build a template and auto-populate - Color-code by impact level: Red = high impact, Yellow = moderate, Green = routine - Archive past catalysts with the actual outcome — builds pattern recognition over time