By Bruce762
Full-market deep analysis pipeline: macro backdrop, sector structure, per-name valuation models, cross-company linkage map, catalyst calendar, and rolling earnings updates. Self-contained bundle of financial-services skills orchestrated end to end.
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".
Draft concise morning meeting notes summarizing overnight developments, trade ideas, and key events for coverage stocks. Designed for the 7am morning meeting format — tight, opinionated, actionable. Triggers on "morning note", "morning meeting", "what happened overnight", "trade idea", "morning call prep", or "daily note".
Perform relative value analysis on bonds by combining pricing, yield curve context, credit spreads, and scenario stress testing. Use when analyzing bond richness/cheapness, computing spread decomposition, comparing bonds, assessing bond value vs curves, or running rate shock scenarios.
Build and organize a universe of potential acquirers for sell-side M&A processes. Identifies strategic and financial buyers, assesses fit, and prioritizes outreach. Use when preparing for a sell-side mandate, building a buyer universe, or evaluating potential partners. Triggers on "buyer list", "buyer universe", "potential acquirers", "who would buy this", "strategic buyers", or "financial sponsors".
Complete, populate and fill out 3-statement financial model templates (Income Statement, Balance Sheet, Cash Flow Statement) . Use when asked to fill out model templates, complete existing model frameworks, populate financial models with data, complete a partially filled IS/BS/CF framework, or link integrated financial statements within an existing template structure. Triggers include requests to fill in, complete, or populate a 3-statement model template
External network access
Connects to servers outside your machine
Uses power tools
Uses Bash, Write, or Edit tools
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Self-contained Claude plugin that runs a full-market deep-analysis pipeline end to end. Every skill in this bundle is copied unmodified from anthropics/financial-services — this plugin only orchestrates them.
This repo is both the plugin and its own marketplace, so installation is two commands inside Claude Code:
/plugin marketplace add Bruce762/market-deep-analyst
/plugin install market-deep-analyst@market-deep-analyst
The first line registers the catalog (.claude-plugin/marketplace.json); the second installs the plugin. Pick a scope when prompted — user (all your projects) or project (commit to this repo's .claude/settings.json for collaborators). Then activate it:
/reload-plugins
Verify with /plugin → Installed, or just run /market-analysis.
Requirements — Claude Code with the /plugin command. If /plugin isn't recognized, update first:
npm install -g @anthropic-ai/claude-code@latest # or: brew upgrade claude-code
Local / development install — skip the marketplace and load the checkout directly:
git clone https://github.com/Bruce762/market-deep-analyst.git
claude --plugin-dir ./market-deep-analyst
Data connectors — the bundle ships an .mcp.json with MCP connectors (factset, lseg, daloopa, etc.). These require your own entitlements and must be authorized separately via /mcp in an interactive session. Without them the plugin falls back to free official sources (see Data sources) — it still runs, no auth required.
Given a market, sector, theme, or ticker list:
| Step | Phase | Skills |
|---|---|---|
| 0 | Data foundation (single-source Excel data pack) | datapack-builder, clean-data-xls |
| 1 | Macro & rates backdrop (what's priced in) | macro-rates-monitor, swap-curve-strategy, option-vol-analysis, bond-relative-value, fx-carry-trade, bond-futures-basis |
| 2 | Sector & market structure → stock pool | sector-overview, competitive-analysis, idea-generation |
| 3 | Per-name valuation models | comps-analysis, dcf-model, 3-statement-model, lbo-model, xlsx-author |
| 4 | Single-name deep dives | tear-sheet, equity-research, earnings-analysis, earnings-preview, initiating-coverage |
| 5 | Linkage map (relative valuation matrix, consolidation map, merger math) | comps-analysis, buyer-list, merger-model |
| 6 | Forward view (catalysts + falsifiable theses) | catalyst-calendar, thesis-tracker |
| 7 | QC & deliverables | audit-xls, pptx-author, ib-check-deck, deck-refresh |
| 8 | Rolling earnings-update loop | earnings-analysis, model-update, thesis-tracker, morning-note, deck-refresh |
/market-analysis [sector / theme / tickers] — run the full pipeline (pauses for review after the shortlist and before the forward view)/market-refresh [tickers | all] — rolling update after earnings: plug numbers, re-check theses, refresh the deckmarket-deep-analyst agent triggers on comprehensive market-analysis requests.Bundled MCP connectors (factset, lseg, daloopa, sp-global, morningstar, aiera, moodys, mtnewswire, pitchbook) are used when authorized. Without authorization the agent falls back to free official sources (SEC EDGAR, FRED, US Treasury, BLS/BEA, company IR, Stooq/Yahoo) and labels every number with source + retrieval date. Gaps with no free substitute (vol surfaces, full swap curves, FX forwards, per-analyst estimates) are stated explicitly, never fabricated.
Output is scenario analysis and market-structure mapping — draft analyst work product for human review, not a prediction engine and not investment advice.
npx claudepluginhub bruce762/market-deep-analystLLM Wiki 個人知識庫(第二大腦):obsidian_wiki 統一入口自動分派 init 建庫、ingest 讀入來源、query 帶引用提問、lint 健檢。以 Obsidian 為閱讀介面,構想來自 Karpathy 的 llm-wiki。
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