catalyst-calendar

name	catalyst-calendar
description	Event tracker: earnings dates, economic releases, conferences, regulatory events
license	Derived from anthropics/financial-services-plugins (Apache-2.0). Modified for langalpha.

Catalyst Calendar

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".

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 using platform tools:

• Use macro MCP: get_earnings_calendar(from_date, to_date) for all companies reporting in date range
• Use macro MCP: get_economic_calendar(from_date, to_date) for upcoming macro events
• Use get_company_overview tool for company details
• Use WebSearch / WebFetch for news-driven catalysts

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

Save all outputs to $WORK_DIR/work/{task}/.

• Excel workbook with calendar view and sortable columns
• Weekly preview note (markdown)

For all Excel formatting standards, follow the guidelines in .agents/skills/xlsx/SKILL.md. After generating Excel, run recalculation: python .agents/skills/xlsx/scripts/recalc.py calendar.xlsx 30

Important Notes

• Earnings dates shift — verify against company IR pages and get_earnings_calendar 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