Reverse DCF — Market-Implied Expectations
SkillDev toolsReverse DCF valuation, implied growth rate, market expectations analysis, reverse discounted cash flow, implied valuation assumptions, market-implied projections, DCF sanity check
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No other account needed.
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
| Parameter | Default | Notes |
|---|---|---|
| projection_years | 5 | Explicit forecast period |
| solve_for | growth_rate | growth_rate, terminal_margin, or wacc |
| terminal_growth | 2.5% | Long-term GDP-like growth rate |
| compare_to | consensus | Compare 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-checkssearch_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:
- Executive Summary — headline conclusions (≤200 words).
- Core analysis sections — per this skill's methodology and analyst modes.
- Data classification — tag findings
[FACT]/[DEDUCTED]/[VIEW]percontracts/snapshot-synthesis.md. - Coverage Gaps & Citations — inline
/v/citations are PRIMARY (immediately after each fact); the bottom Citations section is a non-duplicative roll-up index. - 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
- Convergence: DCF must converge to market price within 1% within 50 iterations. If failed: flag "DCF does not converge — extreme assumptions required."
- 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) percontracts/output-frontmatter-schema.md. - Snapshot synthesis: after writing the deliverable, update the two-tier snapshot and classify findings as
[FACT]/[DEDUCTED]/[VIEW]— seecontracts/snapshot-synthesis.md. - Session archival: record the run under
sessions/{YYYY-MM-DD}/and updatesessions/INDEX.mdpercontracts/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 Mode | Action | User-Facing Message |
|---|---|---|
| No price data | Halt | "Current stock price unavailable for {ticker}." |
| Negative FCF | Flag — reverse DCF unreliable | "Negative free cash flow — reverse DCF may produce nonsensical results." |
| Non-convergence | Flag 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
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reverse-dcf- Source
- github.com/agentii-ai/agentii-investment-intelligence