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:
- [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
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
1---2name: catalyst-calendar3description: Event tracker: earnings dates, economic releases, conferences, regulatory events4license: Derived from anthropics/financial-services-plugins (Apache-2.0).5---6
7# Catalyst Calendar
8
9Build 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".
10
11## Workflow
12
13### Step 1: Define Coverage Universe
14
15- List of companies to track (tickers or names)
16- Sector / industry focus
17- Include macro events? (Fed meetings, economic data, regulatory deadlines)
18- Time horizon (next 2 weeks, month, quarter)
19
20### Step 2: Gather Catalysts
21
22For each company, identify upcoming events using platform tools:
23
24- Use macro MCP: `get_earnings_calendar(from_date, to_date)` for all companies reporting in date range
25- Use macro MCP: `get_economic_calendar(from_date, to_date)` for upcoming macro events
26- Use `get_company_overview` tool for company details
27- Use `WebSearch` / `WebFetch` for news-driven catalysts
28
29**Earnings & Financial Events**
30- Quarterly earnings date and time (pre/post market)
31- Annual shareholder meeting
32- Investor day / analyst day
33- Capital markets day
34- Debt maturity / refinancing dates
35
36**Corporate Events**
37- Product launches or announcements
38- FDA approvals / regulatory decisions
39- Contract renewals or expirations
40- M&A milestones (close dates, regulatory approvals)
41- Management transitions
42- Insider trading windows (lockup expirations)
43
44**Industry Events**
45- Major conferences (dates, which companies presenting)
46- Trade shows and expos
47- Regulatory comment periods or rulings
48- Industry data releases (monthly sales, traffic, etc.)
49
50**Macro Events**
51- Fed meetings (FOMC dates)
52- Jobs report, CPI, GDP releases
53- Central bank decisions (ECB, BOJ, etc.)
54- Geopolitical events with market impact
55
56### Step 3: Calendar View
57
58| Date | Event | Company/Sector | Type | Impact (H/M/L) | Our Positioning | Notes |
59|------|-------|---------------|------|-----------------|----------------|-------|
60| | | | Earnings/Corp/Industry/Macro | | Long/Short/Neutral | |
61
62### Step 4: Weekly Preview
63
64Each week, generate a forward-looking summary:
65
66**This Week's Key Events:**
671. [Day]: [Company] Q[X] earnings — consensus [$X EPS], our estimate [$X], key focus: [metric]
682. [Day]: [Event] — why it matters for [stocks]
693. [Day]: [Macro release] — expectations and positioning
70
71**Next Week Preview:**
72- Early heads-up on important events coming
73
74**Position Implications:**
75- Events that could move specific positions
76- Any pre-positioning recommended
77- Risk management ahead of binary events
78
79### Step 5: Output
80
81Save all outputs to `$WORK_DIR/work/{task}/`.
82
83- Excel workbook with calendar view and sortable columns
84- Weekly preview note (markdown)
85
86> For all Excel formatting standards, follow the guidelines in `.agents/skills/xlsx/SKILL.md`.
87> After generating Excel, run recalculation: `python .agents/skills/xlsx/scripts/recalc.py calendar.xlsx 30`
88
89## Important Notes
90
91- Earnings dates shift — verify against company IR pages and `get_earnings_calendar` closer to the date
92- Pre-announce risk: track companies with a history of pre-announcing (positive or negative)
93- Conference attendance lists are valuable — which companies are presenting and which are conspicuously absent?
94- Some catalysts are recurring (monthly industry data) — build a template and auto-populate
95- Color-code by impact level: Red = high impact, Yellow = moderate, Green = routine
96- Archive past catalysts with the actual outcome — builds pattern recognition over time