/pineal-research TDOC in Claude Code or Cowork. Skill runs pipeline + fetches 10-K text + Claude Code itself synthesises §3/§4/§7 using the user's existing Max 20x quota.ANTHROPIC_API_KEY is set.| Capability | Status | Evidence / Notes |
|---|---|---|
| Deterministic FPR scoring | LIVE | 9 sub-agents, 8 sector adapters. TDOC Band C, MSFT Band A, JACK Band F — all defensible. |
| SEC EDGAR financials ingestion | LIVE | XBRL primary tier; 10 tickers validated; 90% clean-run rate. |
| 10-K footnote extraction | LIVE | Item 1 / 1A / 7 sections, 24h disk cache. |
| Real SEC 8-K catalyst discovery | LIVE | v2.0.4 · 13 item codes mapped to Pineal categories. JACK 5 real catalysts incl. April 2026 mgmt refresh. |
| Sector-routed SOTP valuation | LIVE | Per-ticker overrides: TDOC (IC + BetterHelp), PRKS (Admissions/Spend/Season-Pass), FIVN (Cloud + Services + AI). |
| Current-price fetch + MoS | LIVE | Yahoo Finance endpoint, 5s timeout, silent fallback. |
| Scenario-weighted valuation | LIVE | Bull / base / bear with band-keyed probabilities + 3y IRR + expected return. |
| Owner earnings (Buffett) | LIVE | OCF − maintenance capex with year-alignment. |
| Exit discipline (§9) | LIVE | Target price + stop-loss + re-rate triggers. |
| LLM-synthesized §3 / §4 / §7 | LLM | Via Max 20x skill for interactive; via API for automation. |
| Pineal-config parameter layer | LIVE | 15 parameters env-var overridable. Conor call = one PR edit. |
| Compliance 3-track (QIAIF) | LIVE | Fund structure + restrictions + ESG placeholder. |
| 3 U's with real analyst / ownership | NEXT | Heuristic today; yfinance wire is ~2h (Tier 2). |
| Scoring anchor calibration | NEXT | MSFT/AAPL at 100/A a bit too generous. |
| Business-description DB expansion | NEXT | 10 curated today; target 30-50. |
| Memory knowledge graph | NEXT | Each /research starts fresh; ~6h. |
| Eval harness (returns backtest) | NEXT | 50-ticker labelled dataset to prove alpha. |
| Background agents live | NEXT | Morning brief + sentinel + challenger — requires API key. |
| Analytical dimension | v0.0 spec | v0.5 pipeline | v2.0.4 (today) |
|---|---|---|---|
| Data source | ChatGPT training memory | XBRL / stockanalysis.com | XBRL + SEC EDGAR 10-K text + 8-K filings + Yahoo Finance live price |
| Financial statements | None — AI guesses numbers | Reported only | Reported + adjusted (SBC stripped) + normalised |
| Qualitative analysis | AI writes from memory | Python template strings | Claude reads 10-K §1 / §1A / §7 and writes grounded synthesis |
| Valuation | Not computed | Single-point DCF | Scenario-weighted (bull / base / bear) + per-ticker SOTP + band-keyed bear multipliers |
| Conviction / confidence | Not addressed | Band score only | Dual axis: Financial Quality 0–100 × Conviction 0–10. Analytical vs invest conviction split. |
| Owner earnings | Not addressed | FCF only | Buffett OCF formula: OCF − maintenance capex. Maintenance vs growth capex split. |
| Catalyst framework | Not addressed | 5 generic placeholders | Real 8-K filings parsed — 13 item codes → dated events from SEC EDGAR |
| Falsification | Not addressed | Not addressed | Kill-the-thesis: 3 falsifiable tests per ticker with monitoring triggers |
| Exit discipline | Not addressed | Not addressed | Entry price + target + stop-loss + re-rate triggers |
| Sector awareness | Generic template | Default adapter only | 7 adapters: healthtech, hotels, SaaS, banks, staples, industrial, healthcare services |
| Red-flag detection | Not addressed | Basic threshold checks | 9 numeric triggers with severity bands (SBC load, cash conversion, ROIC < WACC, leverage spike, etc.) |
| Output format | Chat message | JSON + basic markdown | 11-section IC memorandum with methodology hash, source log, pre-output checklist |
OCF-based owner earnings (not FCF, not net income). Maintenance vs growth capex split. Durable competitive-advantage assessment in §4 investment thesis. Circle-of-competence check via sector-adapter routing.
Source-keyed unknowns discount (not a flat 15%). Scenario-weighted downside analysis with band-keyed bear multipliers. Re-rating catalyst framework built on real 8-K events from SEC EDGAR. Explicit admission of unknowns.
10-K text extraction (Item 1, 1A, 7). SBC adjustment bridge (reported → adjusted → normalised). Accrual-ratio monitoring. Revenue-recognition pattern detection via LLM synthesis on filing text.
Bull / base / bear scenario-weighted fair value. Band-keyed probability ladders (higher-quality bands get higher base-case weighting). 9 numeric red-flag triggers with severity bands. Regime classification and risk-parity sizing on Tier 3 roadmap.
/pineal-research TDOC, and gets an analyst-grade IC memo in ~30 seconds using his existing Max 20x subscription — zero additional infrastructure cost until automation is needed.