Reverse DCF — Market-Implied Expectations

SkillDev tools

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

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Reverse DCF — Market-Implied Expectations skill

What this skill tells your AI

The instructions your AI receives, as published by agentii-ai/agentii-investment-intelligence in plugins/vertical-plugins/quantitative-analysis/skills/agentii/reverse-dcf/SKILL.md and read by ahel’s review.

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."

Signals

GitHub stars
204
Forks
16
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
reverse-dcf
Source
github.com/agentii-ai/agentii-investment-intelligence