catalyst-calendar

bởi anthropic

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npx skills add https://github.com/anthropics/financial-services --skill catalyst-calendar

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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:

[Day]: [Company] Q[X] earnings — consensus [$X EPS], our estimate [$X], key focus: [metric]
[Day]: [Event] — why it matters for [stocks]
[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