anthropics/financial-services

catalyst-calendar

Build and maintain a calendar of upcoming catalysts across a coverage universe — earnings dates, conferences, product launches, regulatory decisions, and macro events.

查看源码
仓库原始内容

按源仓库内容呈现,保留标题、案例、代码、表格、链接以及原文引用的演示图片。

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

DateEventCompany/SectorTypeImpact (H/M/L)Our PositioningNotes
Earnings/Corp/Industry/MacroLong/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
来自同一仓库

更多 Skills

全部 Skills
anthropics
官方

initiating-coverage

Create institutional-quality equity research initiation reports through a 5-task workflow. Tasks must be executed individually with verified prerequisites - (1) company research, (2) financial modeling, (3) valuation analysis, (4) chart generation, (5) final report assembly. Each task produces specific deliverables (markdown docs, Excel models, charts, or DOCX reports). Tasks 3-5 have dependencies on earlier tasks.

安装量
2
GitHub Stars
3.9万
最近更新
9月21日
anthropics
官方

bond-futures-basis

Analyze the bond futures basis by pricing futures, identifying the cheapest-to-deliver, and comparing with yield curves to assess delivery option value and basis trading opportunities. Use when analyzing bond futures, computing the basis, identifying CTD bonds, calculating implied repo rates, or evaluating basis trades.

安装量
1
GitHub Stars
3.9万
最近更新
9月21日
anthropics
官方

clean-data-xls

Clean up messy spreadsheet data — trim whitespace, fix inconsistent casing, convert numbers-stored-as-text, standardize dates, remove duplicates, and flag mixed-type columns. Use when data is messy, inconsistent, or needs prep before analysis. Triggers on "clean this data", "clean up this sheet", "normalize this data", "fix formatting", "dedupe", "standardize this column", "this data is messy".

安装量
1
GitHub Stars
3.9万
最近更新
9月21日
anthropics
官方

datapack-builder

Build professional financial services data packs from various sources including CIMs, offering memorandums, SEC filings, web search, or MCP servers. Extract, normalize, and standardize financial data into investment committee-ready Excel workbooks with consistent structure, proper formatting, and documented assumptions. Use for M&A due diligence, private equity analysis, investment committee materials, and standardizing financial reporting across portfolio companies. Do not use for simple financ

安装量
1
GitHub Stars
3.9万
最近更新
9月21日