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Reverse dcf

Skill agentii-ai/agentii-investment-intelligence/plugins/vertical-plugins/quantitative-analysis/skills/agentii/reverse-dcf

Claude-type skills for institutional equity research — 25 AI agent skills with SEC filings, XBRL financials, earnings calendars, DCF/comps/LBO models, and PPT generation. Powered by agentii.ai data plane. Works with Claude Code, OpenCode, Codex, OpenClaw, Goose.

Install
npx -y skills add agentii-ai/agentii-investment-intelligence --skill reverse-dcf

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Reverse DCF valuation, implied growth rate, market expectations analysis, reverse discounted cash flow, implied valuation assumptions, market-implied projections, DCF sanity check

SKILL.md

5.8 KB, ~1.2k tokens by cl100k_base, as published. Nobody here has run it

Reverse DCF — Market-Implied Expectations

Starts from the current stock price and solves backward: "What growth rate, margin, or WACC does the market currently price in?" Answers: "Is the market too optimistic or too pessimistic about {ticker}?" This is a sanity-check tool used by professional analysts to test whether consensus assumptions are already reflected in the stock price.

Preflight

Run the canonical pre-flight sequence — MCP health probe, ticker resolution, workspace style.md override, memory load, and coverage check. See contracts/preflight.md.

Include the X-Agentii-Trace header on every tool call per contracts/x-agentii-trace-header.md.

Triggers

  • reverse DCF {ticker}
  • implied growth rate {ticker}
  • what does the market price in {ticker}
  • market-implied valuation {ticker}
  • reverse discounted cash flow {ticker}
  • is {ticker} priced for perfection
  • market expectations DCF {ticker}
  • sanity check valuation {ticker}
  • implied assumptions {ticker}
  • DCF reverse engineer {ticker}

Defaults

ParameterDefaultNotes
projection_years5Explicit forecast period
solve_forgrowth_rategrowth_rate, terminal_margin, or wacc
terminal_growth2.5%Long-term GDP-like growth rate
compare_toconsensusCompare implied to consensus estimates

Methodology

Retrieval Scope

structured_only — Reverse DCF uses current price + XBRL financials + consensus estimates.

Retrieval Strategy

See contracts/retrieval.md for the canonical decision tree; skill-specific retrieval detail is in references/methodology.md.

Temporal Scope

Default lookback: 4 fiscal quarter(s); maximum: 12. The default balances recency against the trend window this analysis requires.

Tool Allowlist

Per frontmatter allowed_tools:

  • search_xbrl_facts — primary structured financial facts (is_primary default)
  • get_realtime_quote — latest market price for valuation cross-checks
  • search_earnings_calendar — EPS actual/estimate/surprise + report dates

Protocol

Step-by-step execution detail is in references/methodology.md.

Output File

Write the final deliverable to {ticker}/{YYYY-MM-DD_HHMM}_reverse-dcf_{affix}.md.

Output Structure

The deliverable is a structured markdown report written to the path in ## Output File. Full section-by-section template (headings, tables, and field definitions) lives in references/output-structure.md. Required elements:

  1. Executive Summary — headline conclusions (≤200 words).
  2. Core analysis sections — per this skill's methodology and analyst modes.
  3. Data classification — tag findings [FACT] / [DEDUCTED] / [VIEW] per contracts/snapshot-synthesis.md.
  4. Coverage Gaps & Citations — inline /v/ citations are PRIMARY (immediately after each fact); the bottom Citations section is a non-duplicative roll-up index.
  5. Output frontmatter — emit the FR-090 structured block per contracts/output-frontmatter-schema.md.

Citations & memory: follow contracts/citation-and-memory.md — ≥1 citation per 200 words; every material fact, table row, and metric is immediately followed by its inline clickable https://agentii.ai/v/{ticker}/{citation_id}/{N} link; a bottom Citations section provides a non-duplicative roll-up index; the closing TUI reply includes a compact Key Citations list (headline 5–10 facts) of clickable /v/ URLs; and append the run to agentii.md per contracts/agentii-md-schema.md.

Validation Gates

  1. Convergence: DCF must converge to market price within 1% within 50 iterations. If failed: flag "DCF does not converge — extreme assumptions required."
  2. Economic plausibility: implied growth rate must be between -10% and +50%. If failed: flag "Implied growth outside economically plausible range — market may be pricing non-fundamental factors."

Memory & Snapshot

  • Memory load (pre-flight): load prior workspace context for the ticker before retrieval — see contracts/memory-load.md.
  • Structured output frontmatter: emit the FR-090 block (key_metrics, conclusions, facts_count, deducted_count, views_count, citation_count) per contracts/output-frontmatter-schema.md.
  • Snapshot synthesis: after writing the deliverable, update the two-tier snapshot and classify findings as [FACT]/[DEDUCTED]/[VIEW] — see contracts/snapshot-synthesis.md.
  • Session archival: record the run under sessions/{YYYY-MM-DD}/ and update sessions/INDEX.md per contracts/session-format.md.

Final Summary (TUI)

End the closing chat reply with a compact Key Citations list (headline 5–10 facts), each a clickable https://agentii.ai/v/{ticker}/{citation_id}/{N} link, so the user can cmd+click straight to the exact SEC page. See contracts/citation-and-memory.md.

Error Handling

Failure ModeActionUser-Facing Message
No price dataHalt"Current stock price unavailable for {ticker}."
Negative FCFFlag — reverse DCF unreliable"Negative free cash flow — reverse DCF may produce nonsensical results."
Non-convergenceFlag extreme assumptions required"Reverse DCF did not converge within 50 iterations — market may be pricing extreme scenarios."

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